One Point One Solutions Limited (ONEPOINT) Earnings Call Transcript & Summary
August 13, 2026
Earnings Call Speaker Segments
Operator
operatorGood evening, ladies and gentlemen. I'm Akash, moderator for the conference call. Welcome to 1Point1 Solutions Limited Q1 FY '27 Earnings Conference Call. [Operator Instructions] Please note this conference is being recorded. I would now like to hand over the floor to Mr. Shashank Ganesh from EY. Thank you, and over to you.
Shashank Ganesh
attendeeThank you, Akash. Good evening to all the participants on the call. Good morning if you're logging in from the Western side. Before we proceed to the call, let me remind you that the discussion may contain known or unknown risks, which may affect the forward-looking statements, uncertainties, and other factors. Therefore, it must be viewed in conjunction with the business risks that could cause further results performance, or achievements that differ from what is expressed or implied. To take us through the results and answer your questions today, we have the senior management of 1Point1 Solutions, represented by Mr. Akash Karnik, Whole-Time Director & Chief Executive Officer, Global Business; Mr. Rajiv Desai, Co-Founder ResolX; and Mr. Sunil Kumar Jha, Chief Financial Officer. We will start the call with a brief overview of the past quarter followed by a Q&A session. [Operator Instructions] With that, I would like to hand over the call to Mr. Karnik. Over to you, Akash.
Akashanand Karnik
executiveThank you, Shashank. Good evening, everyone, and thank you for joining 1Point1 Solutions Q1 Financial '27 Earnings Call. In today's call, we will cover the company's performance for the quarter, the strategic transformation underway across the businesses, and how our investments in AI, global delivery, and domain capabilities are opening up significantly larger market opportunities for 1Point1 Solutions. 1Point1 began 17 years ago with a simple conviction. Every customer interaction is an opportunity to create value. From a single operations floor, we've grown into a dual-listed enterprise with a global footprint, deep domain expertise, and a portfolio serving 100 plus marquee brands across banking, insurance, healthcare, telecom, aviation, automotive, and other emerging industries. Today, we are moving beyond traditional outsourcing to build 1Point1 Solutions as a global AI-powered customer experience and enterprise operations company, bringing together human expertise, Agentic AI, domain depth and global delivery to engineer measurable outcomes. This evolution is at the heart of our strategy and defines the next phase of our growth. Over the years, we deliberately invested ahead of the curve in technology, domain capabilities, and global delivery. We recognize that AI will fundamentally reshape customer experience and enterprise operations, not just automating individual tasks, but by changing how work is designed, executed and measured. That journey led to creation of 1Point1 Technology Labs and subsequently the launch of ResolX, our Agentic AI platform built around Resolution-as-a-Service. ResolX marks an important shift in our value proposition from managing activity to taking accountability for resolution. The next phase of customer experience will not be defined by how many interactions a company handles. It will be defined by how effectively those interactions are converted into measurable resolutions and business outcomes. As highlighted in our investor presentation, our strategy is built on dual-engine growth. First, our global human service engine, significantly strengthened this quarter by the full integration of Netcom, which deepens our presence across the Americas, and expand our ability to service enterprise through global delivery, multiple capability, domain expertise, and multi-shore operations. It also creates larger platform from which we drive organic and introduce AI-led transformation across existing and new enterprise relationships. Second, our Agentic AI engine, powered by ResolX, is a differentiated enterprise AI platform, bringing Agentic AI orchestration and domain intelligence directly into enterprise workflows focused on high-value opportunities. Together, these engines create a powerful growth model, global delivery, and human expertise complemented by Agentic AI and intelligence orchestration. More importantly, they strengthen and accelerate each other, creating greater scale, capability, and value for our customers. As automation scales, we see the opportunity to progressively shift our revenue towards higher-margin AI, orchestration and outcome-linked models, while human expertise moves towards more complex, judgment led work. Our presence across multiple domains, geographies and delivery ecosystems gives us a strong foundation to build intelligent, scalable, outcome-focused enterprise operations. We believe the next era of customer experience will be defined not by isolated AI developments, but by reconnecting intelligence that unites AI, human expertise, domain depth and operational execution. ResolX is built precisely for this shift, embedding intelligence into real enterprise workflows and solve complex regulated business challenges. Technology can automate domain intelligence, enable better decisions, human expertise brings judgment and accountability. This combination lets us move beyond traditional capacity-led outsourcing towards measurable, outcome-focused enterprise operations. Our global delivery engine, domain depth and Agentic AI capabilities position us at the intersection of customer experience and enterprise operations. We are not preparing for the next phase of market. We are building to lead it. 1Point1 is aired for outcomes. On that note, I'll hand over to Mr. Rajiv Desai, Co-Founder of ResolX.
Rajiv Desai
executiveThank you, Akash, and good evening to everyone who has joined the call. For 3 decades, India has thrived as the world's back office, powered by the scale and efficiency of BPM. Agentic AI is creating a fundamental shift in enterprise operations. Systems that can plan, decide and act are moving AI beyond assistance and towards execution, orchestration and resolution. We don't see this as a replacement of human expertise. We see it as an evolution from a cost and headcount-led model to an intelligence and outcome-led model. The sector will need deeper, more integrated roles that merge human judgment with machine efficiency. The future belongs to operating models where human contextual intelligence works alongside the speed, scale and precision of AI. That is the shift we are building with ResolX, moving enterprises beyond managing interactions towards intelligent, accountable resolutions at scale. ResolX differentiated through its Resolution-as-a-Service model, is designed to move AI beyond assistance to act, orchestrate and deliver measurable resolutions across enterprise workflows. Resolution-as-a-Service is an operating and commercial model that orchestrates AI agents, workflows, enterprise systems, functions, data and human expertise under one accountable partner to deliver a great customer or business outcomes, moving enterprises beyond software development to a strategic operating partnership focused on measurable results. ResolX is built around an outcome-accountable model. We do not charge clients simply for a software license or agent capacity, but we take ownership of the resolution architecture end to end. From the AI layer and data extraction to back-end integration and ultimately the business outcomes themselves. This is fundamentally different value proposition. Instead of investing in disconnected tools and managing multiple vendors with no accountability for the final outcome, client gets one partner that brings intelligence, integration and execution together accountable for the resolution itself. We're leading the shift from conversations to resolutions by creating AI that acts, orchestrates and resolves, not just answers. History shows that efficiency expands markets. Resolution is how we deliver them. Our integrated stack spans across voice, chat, email, social, IVR and video, with AI embedded across the entire journey, one partner for connected intelligence across every enterprise function. More importantly our global operating footprint gives ResolX an advantage that pure-play AI vendors cannot easily replicate, operational experience across languages, near-shore capability across the Americas, and regulated industry delivery on 4 continents. Each center serves not only as a delivery engine, but as a real-world environment to deploy, validate and scale intelligent solutions. The software-to-service gap remains one of the biggest challenges for CX leaders, and ResolX bridges that gap by combining AI, integration, operational accountability, creating value to clients while strengthening our own economics. Faster resolutions reduce agent hours per interaction, improves utilization and lowers the cost to serve, creating a dual advantage, higher value delivered to clients with stronger operating leverage for 1Point1. We're seeing encouraging early traction, 12 live deployments across seven enterprise clients spanning across insurance, aviation, banking, automotive and digital assets, including 2 of India's largest life insurers. Two Central American banks, one through the Netcom BCC acquisition, a leading Indian airline and a premium European automotive marquee. Most significantly, the nature of these engagements is changing. The market is looking beyond capacity towards AI-led measurable outcomes. 1Point1 brings global delivery, domain depth, human expertise, and enterprise accountability. ResolX brings Agentic AI, intelligent orchestration, and Resolution-as-a-Service. Together, they create a connected operating model designed to move enterprises from conversations to resolutions and deliver measurable outcomes. With that, I hand over to Mr. Sunil Kumar Jha, our Chief Financial Officer, to take you through the numbers. Over to you, Sunil.
Sunil Jha
executiveThank you, Rajiv, sir, and good evening, everyone. Let me take you through our financial performance for Q1 FY '27, a quarter that makes a steep change in the scale of company. As the first full reporting period to consolidate Netcom BCC, on a consolidated basis, revenue from operations from Q1 FY '27 was INR 158.3 crores, a growth of 64.6% quarter-on-quarter and 129% year-on-year. This growth was driven primarily by the first full quarter consolidation of Netcom, supported by growth in customer program volume across the base business. EBITDA stood at INR 39.4 crores, up 56.0% from INR 25.2 crores in Q4 FY '26 and 91.5% year-on-year, at an EBITDA margin of 24.9%. Profit for the period was INR 16.3 crores, up 58.7% from INR 10.3 crores in Q4 financial year '27 and 72.8% year-on-year basis. Basic earnings per share for the quarter was INR 0.62 compared with INR 0.36 in the corresponding quarter in last year. Let me address the margin directly. The consolidated EBITDA margin of 24.9% reflects the change in delivery mix from Netcom consolidation and finance cost of INR 8.1 crores for the quarter, up from INR 1.9 crore a year ago, primarily reflecting acquisition-related borrowing. On a standalone basis our core operation delivered revenue of INR 61.1 crore, up 11.6% year-on-year, at an EBITDA margin of 30.4% demonstrating the continued health of the base business on which the global platform is being built. Integrations [indiscernible] and the revenue mix is shifting toward AI orchestration and outcome-linked models. We expect margins to improve progressively over the coming year. Q1 continued the momentum we have built over the past several quarters. We remain confident in our ability to capture the significant market opportunity added by scaling ResolX, deepening existing customer relationships and expanding our customer base. Our growth strategy is deliberately balanced with resilient core revenue, the ramp-up of new customers and a diversified pipeline of opportunity across market and capabilities. With a healthy customer pipeline, growing enterprise demand, disciplined capital allocation and ResolX gaining traction in live in one, we believe 1Point1 is at beginning of significant multiyear growth opportunity. Our dual-engine, global delivery and Agentic AI given us a strong foundation for scale, while disciplined capital allocation and operational execution remain central to how we grow. Our focus remains clear sustainable, profitable growth with continued several investments in innovation, talent and scalable global capability, and translation of those investment into a stronger operating performance and long-term shareholder value. Thank you. We are now happy to take your questions.
Operator
operator[Operator Instructions] First question comes from the line of Mr. Yogesh Patil, an individual investor.
Yogesh Patil
attendeeCongratulations on a good set of numbers. Sir, just want to continue on the current business, how do you see this year? And is there any major one-off in this quarter?
Akashanand Karnik
executiveThank you for your question. Could you come again? Your sound was a little feeble. Could you speak a little louder one more time, please?
Yogesh Patil
attendeeNumbers are really very good. Any kind of one-off or any kind of project completed in this quarter? Or do you see this run rate will continue for full year also?
Akashanand Karnik
executiveThis is the first quarter where we've consolidated Netcom completely. So this is not kind of a one-off number. And we believe we should be able to try and double our revenues this year, and that's what we are currently embarked on. So we believe that we'll be able to get and we're fairly confident that we'll be able to get a good run rate this year and all our numbers should really be intact, and it's not a one-off number.
Yogesh Patil
attendeeNo, no, I'm saying in consolidation also -- it is a pure consolidation. There's nothing one-off in...
Akashanand Karnik
executiveNo. It is not a consolidated number.
Yogesh Patil
attendeeOkay. And where do you see traction for, let's say, traction in terms of segment? We rightly highlighted insurance companies and banks. Can you throw some more light on continuity of this?
Akashanand Karnik
executiveThe continuity of the numbers itself is coming from a purely consolidation of numbers and our acquisition that happened last year. From a growth perspective, we are very staged at the right point where our Agentic AI solutions, along with our human-based systems will try and bring in far more results to us. So these numbers will not currently have any impact from a delivery perspective. So all seems to be in very stable and good numbers here. AI will continue to grow and start bringing in better margin numbers for us in the coming quarters.
Yogesh Patil
attendeeAnd in terms of -- we're also using AI. So in last quarter, we started some benefit. But if tribute to usage of AI, what could be the roughly -- can we quantify what is the productivity gains because of the AI use and mix of the employees, manpower and AI?
Akashanand Karnik
executiveI'll give you -- I'll try and answer this question in one of the examples. In one of the large airlines that are currently operating out of India, we've been successfully been able to deploy AI to seek benefit about 30% of the employee size and thereby bring in far more value-added services to them. So as our projects start growing up quarter-on-quarter, year-on-year, you will see the impact of AI on our revenues in the coming 12 to 18 months.
Yogesh Patil
attendeeAnd sir, one hypothetical question over 3 to 5 years, how do you see yourself? And what are the geography and sectors will contribute to growth over 3 to 5 years?
Akashanand Karnik
executiveWe'll be growing on India and LatAm, while entire the Americas will be able to increase the revenue pure because of the dollar arbitrage and India will also continue to grow from an AI contribution perspective. But you will see a lot of business showing up a larger volume purely because of dollar arbitrage from Americas. From an industry perspective, while there is focus across industries, but you will see a lot of work coming through the banking industry and a little bit on insurance side, healthcare. These are some of the industries that are showing trajectory right now. We'll also see some more trajectory coming in travel and hospitality also.
Operator
operatorThe next question comes from the line of Tushar Sarda from [ Athena ] Investments.
Tushar Sarda
analystCongratulations on good headline numbers. I was just going through your presentation, and I'm actually surprised that you've not given split between Netcom and your base business. Can you split that up, which would have been part of the presentation though.
Akashanand Karnik
executiveNetcom right now in this quarter contributes roughly about 50% of the numbers that we see here.
Tushar Sarda
analystThat's on revenue and on EBITDA?
Akashanand Karnik
executiveAround the same number.
Tushar Sarda
analystSo you have actual number. So [ 60-40 ]. So your business has not grown though -- base business has not grown. Is that what one should assume?
Akashanand Karnik
executiveNo, the base business has got its own growth.
Tushar Sarda
analystSo if I take 40% of INR 160 crores, which you have reported, it is INR 64 crores...
Akashanand Karnik
executive[indiscernible] the growth has been about 50%. The Netcom contribution is 50%, 50, not 40.
Tushar Sarda
analystYou said 60 just now, right?
Akashanand Karnik
executiveNo, no, I said 50. Maybe the voice does not translate well. I said 50% of our revenue contribution is from Netcom and likewise for EBITDA contributions.
Tushar Sarda
analystOkay. Okay. And so Netcom, what are the margins?
Akashanand Karnik
executiveNetcom is around the same kind of a number that we're currently looking at. So the margins are ranging between 24% to 25% margins there as well.
Tushar Sarda
analystAnd you have now debt of INR 220 crores. So what is the plan with respect to the debt? Do you plan to bring it down, raise equity? Or will you pay off from the earnings? What is the idea?
Akashanand Karnik
executiveI think our cash earnings in the coming quarters is only going to increase. The cash generation is fairly positive. So the debt servicing is going to become easier in the coming quarters.
Tushar Sarda
analystAnd do you have more acquisition plans?
Akashanand Karnik
executiveIn the next about 3 years, we intend to try and acquire about another 2 companies that we are trying to look at. So those are on the radar. But this time, we are looking at companies which have Fortune 500 brands and that can really bring us to the larger spectrum of North Americas, and that's been the prime focus for us to look at acquisition. Also, our focus is saying that these companies where we can really leverage our AI to really try and make a differentiation, create an exit barrier and bring in far more value to these businesses.
Tushar Sarda
analystAnd how much revenue is contributed by this Agentic AI in the current quarter?
Akashanand Karnik
executiveWe just launched our Agentic AI this year early in the year in May, and we've been able to successfully deploy close to about 6 to 7 projects across the 12 that we are currently doing in. So revenue is just catching up on the scheme of events, we should be able to see a good amount of revenue showing up in a horizon of about 12 to 18 months or probably even slightly more.
Tushar Sarda
analystSo these are what voice-based agents or these are chatbots?
Akashanand Karnik
executiveBoth. We've got voice and chatbots both. But if you want specific more questions, I'll have Rajiv give a little more insight in terms of our ResolX as a product.
Rajiv Desai
executiveThank you, Akash. To answer your question, these are not just voice and chatbots, but these are end-to-end workflows, which are designed to provide the end resolution to the query that has been asked. So it's not just a pure-play contact center play in terms of AI, but the entire customer experience space where AI is being used to personalize the conversations, personalize the journeys for the end customers and their outcomes. So this is across voice, e-mail, chat and the workflows which are deeply integrated into the ERP systems of our clients.
Tushar Sarda
analystSo what I gather by listening to management commentary on other listed players, especially in the finance sector, NBFCs, banks and all that, this voice agents, automated voice follow-ups and all that seems to be now industry standard. Everybody seems to be saying that it is initially automatic dialing and that's far more efficient than an agent calling up a customer. So where are you in terms of deployment of that technology?
Rajiv Desai
executiveSo we have actually gone far more ahead than that. So what you are actually seeing in the market is just a replica of an IVR voice blaster. What they are doing is they're replacing the mundane voice of an IVR with a human-like voice and calling themselves as AI. What we are doing is that we are not just calling and making a sales pitch, but we are looking at completing the onboarding cycle, the service cycle and then the entire value chain that happens after the customer acquisition for a product company. So we are far more ahead and deepened into the AI agent ecosystem than just making outbound calls and behaving as a supplementary to a voice blaster that is happening there.
Tushar Sarda
analystSo you've already deployed all that. Has it resulted in any savings? Because I don't see margins going up because of that? Or does it lead to pricing pressure and therefore, margins will remain same?
Rajiv Desai
executiveNo. So we've already deployed this. We have 12 live engagements, which are going on across 6 enterprise clients. The overall deflection or absorption to human is close to about 30% to 40%, depending upon the use case where we've deployed this. On the margin side of things, Akash, if you want to throw some light, that will help.
Akashanand Karnik
executiveAbsolutely. So as we said that we have just started inching our work on the AI side and ResolX is gaining traction in the business today. So the margins have shown up in a few of our projects that we've implemented where we can really see a great number coming up. But from our larger scheme of events in terms of our revenue and numbers today, the numbers are very small to be brought out or to be noticeable at this stage of AI business.
Tushar Sarda
analystBecause what I understood from the NBFCs and banking is that this has been going on for a while, and they all talk of very high efficiency, especially in things like collection and all automated calling is helping them a lot.
Akashanand Karnik
executiveNo, you're absolutely right. And there have been a lot of noise around AI. But most often than not, AI is misconstrued in terms of what is actually offered and what is...
Tushar Sarda
analystNo, they don't call it AI. They just call it automated calling. They don't -- nobody calls it AI.
Akashanand Karnik
executiveAnd we are slightly...
Tushar Sarda
analystSo that's my question that are you -- since you also run voice-based BPO, are you using that technology? That is my question, not really on AI.
Akashanand Karnik
executiveI'll invite Rajiv to speak a little more on the technology stack here.
Rajiv Desai
executiveYes, yes, absolutely, we have the tech stack in-house available. That's what the ResolX platform is built on. So the automated calling is essentially nothing but a dialer, splitting out calls to wherever you want them to basically action. So we have our own in-house dialer, which is built on 2 PABX technologies that is available globally. So that is also something that we've built in-house. So to answer your question, yes, we do have.
Operator
operatorThe next question comes from the line of Mr. Ram Prabhudas from Neam Tree Advisors.
Ram Prabhudas
analystCould you just tell me more about ResolX and the whole Resolution-as-a-service thing?
Akashanand Karnik
executiveSure. So typically, what happens is that when large enterprises want to deploy or put something which is more advanced in nature, they end up buying a tool or an ecosystem in the market, and then that comes in as a bolt-on. What happens is that you are buying a software, you're buying a product and then trying to integrate it in your ecosystem. And all of this heavy lifting is typically done by the organization or the systems integrator who is there in between. Where ResolX differentiates is to exactly kill this software-service gap, and we own the resolution end-to-end, which means that you are buying a product to envision and streamline the customer journey to a great extent. We are not selling you a product, but we are selling you a service that will actually help you bridge that gap so that you are able to get the end outcome, because you can buy a product, but you may not know how to extract value out of it. So we've developed this platform to multiply scale for a particular client, but we do the entire end-to-end orchestration to meet the end objective of our clients.
Ram Prabhudas
analystCan you hear me? Just wanted to know if you've had any recent deployments with clients and how they turned out?
Akashanand Karnik
executiveSorry, I missed the initial part. Can you please repeat that?
Ram Prabhudas
analystYes. Just wanted to know about any recent deployments of ResolX?
Akashanand Karnik
executiveYes. We've deployed this across multiple clients, right? So for the airline industry, we've deployed this to manage the entire customer services operations to a great extent. And we are deepening our deployments there to manage almost about 70%, 80% of the times why you would call up an airline. So we are doing that already. Outside of that, we have deployed this for a marquee Italian bike manufacturer where their channel was more to just have a great customer engagement. We've actually turned that around and flipped that into a lead management system. So today, just by deploying that Agentic ecosystem, their interaction channel is about generating 17% to 18% of their sales. And we are now going to further integrate with their inventory management system so that customers can get to know whatever they are ordering and how they can kind of turn that into a revenue-generating model as well. Outside of this, we've deployed this across 2 Central American banks as well, where we are addressing the peaks that are coming through because of the taxation season in terms of how to file and extract the maximum redemption from a tax standpoint. So all of their queries, close to about 98% of those queries are being managed by the ResolX platform. We've also deployed this for digital signatures validation for a Central American bank, where almost about 57% of the queries are today managed by the ResolX platform. Outside of this, we have also deployed this in the insurance side of things in India, where the entire onboarding and welcome calling, including validation of what you subscribe for is done using the platform. We are looking forward to scale this up significantly across all Indian languages, and almost about 7 to 8 products that insurance company has. So we are looking at significantly deploying these bots. And every bot will be -- we'll be deploying approximately 40-plus bots across these permutation and combination just for the insurance company.
Operator
operator[Operator Instructions] The next question is from the line of Mr. Nachiket Kale from [ Juggernaut Ventures ].
Nachiket Kale
analystCongratulations on the excellent delivery as well as your guidance. Some clarification on the -- could you help me understand what is this 1Point1 Singapore acquisition into another entity and the whole subsidiary structure there?
Akashanand Karnik
executiveSure. I'll take this answer for you. So 1Point1 solutions early in about last year, we acquired a company, which is a Singapore-based company, primarily to really set a platform for us to engage and build on our AI stack. That same AI stack, we relaunched it earlier in this year by the name ResolX. This company that we acquired in 2025 was had only platform, but it did not really have stacks to really cater towards industries. We further reinvested in that along with various sets of capability and domain expertise that we had and brought it to life. Now this was kind of a reverse engineering that we currently go to the market with. The strategy was very clear while everybody in the market is offering AI or a bot kind of a resolution, but they are mostly dependent on third-party product with very limited control and limited access to bring in value to the customers. And that's how we created this entire ecosystem to really support this own math. And we are not only supporting our existing partners and businesses, we are also taking ResolX to a stage where it has been independently sold as a product in line for captive and other GCC markets as well. So have I answered the question?
Nachiket Kale
analystRight. So ResolX actually started from Singapore, is it? Or it alternated here, so a little confusion on that...
Akashanand Karnik
executiveNo, no. It enhanced our time to delivery and solutions. We always had an AI stack with us, but it required a little more platform building and other support. We found the right match to really propel our positioning in the AI, and that's where we integrated both to take this journey ahead.
Nachiket Kale
analystAnd do we already have any ongoing revenue-generating business in Singapore?
Akashanand Karnik
executiveNo, not in Singapore, but we have it some in Middle East. We have some businesses in Europe, some businesses in LatAm. We are also providing solutions on AI-based activities in India to multiple industries right now. While the volumes are currently very small, but we are very, very positive and bullish that it will pick up in about -- tracking about 12 to 18 months to a sizable number.
Nachiket Kale
analystOkay. Got it. And next question would be for Mr. Rajiv. Our previous interaction, it's great to see the progress on ResolX platform. Just a fundamental question as to how does the velocity of this business build over, say, medium term of 2, 3 years? Because as you say, Resolution-as-a-service, so revenue generation is not like the fundamental shift in the revenue generation model. Now it could be -- is it fair to assume that as time progresses, the platform itself will become so good and the type of queries and number of queries which will be solved and delivered, those will go down ideally. So how does the revenue-generating structure stay in place as efficiency improves in the future?
Rajiv Desai
executiveSure. That's a fantastic one. And I'd like to throw some light in terms of how this platform is going to evolve over a period of time, right? So today...
Nachiket Kale
analystInitially -- sorry to cut you off. Initially, there will be the volume of things you get to solve will be very high. But as the process improves and once the query is solved, ideally, if it just repeats, okay, but maybe the repetition itself will stop going ahead.
Rajiv Desai
executiveSo there are 2 aspects to answer this question, right? The first one is what happens once you have resolved a query for a particular type. Now the reason why someone reaches out to a product company is because he's not able to self-serve or if he's able to self-serve, it is too tedious for him to find out how to get it done on his or her end. So you have to fix the upstream and downstream both at a product level if it is a product company. Now our objective is to build around and wire the customer journey in a way that without changing your back-end systems, you are still able to provide and orchestrate the journey, which is a simpler math for anyone to do rather than trying to build the back end and try to resolve that particular defect. Whatever gets resolved using the Agentic AI platform is repetition, which means that we have already solved for it once and we've understood the workflow. And now 100 customers, [ 200 customers ] can keep going through that journey, and it will get resolved on its own. Now every resolution that happens using that without having to change the back-end systems is a revenue that gets generated for us. And in a large institution, changing a back end or an ERP or doing something is a mammoth task. They are anywhere their existing IT teams are filled with so much work that they do not have time for advancements because they are continuously chasing on new developments that need to be done or new launches that need to be done. So that is where it kind of answers itself, right? The second part is how we are looking at the platform to evolve. Now today, what you're seeing is 4 enablers on the ResolX platform, and these are small pieces of the jigsaw. Eventually, what we envision to do is build this as an entire CX platform, which means right from the time of creating a requisition to onboard something, screening of that particular candidate, onboarding of that candidate, training that candidate, assessment of that candidate, servicing of that using human in the loop, generating insights, doing quality monitoring, doing exception management and then finally resolving it end-to-end using the analytics layer. That is how this platform is going to evolve over the next 12 to 24 months, which means that this is going to be a single platform that will help agents and Agentic to coexist in a space where 60%, 70% of the task is done by Agentic. The remaining 20%, 30% is managed by agents in the contact center, making it a holistic ecosystem and a one-stop solution rather than taking piecemeal solutions from everywhere in the market. So right now, what we are doing is using these 4 enablers, we are getting a foot in the door in terms of trying to solve for a problem that a client has. The strategy is very clear from a land and expand standpoint, right? Once you have a proven customer on a particular activity, the trust is built and then you can expand on top of that. The biggest barrier today for a lot of companies is to have enterprise clients. And over the past 2 to 3 months, what we've been able to do is get 6 large enterprise -- 7 large enterprise clients. Now for us, expanding that and eating away or cannibalizing over the competition, which has the larger pie of business is going to help us steer the growth from here on. And then it is replicable because the platform is ours. So the reason that we built it at a micro services level is we are using the clients to build a forward deployed engineering team for us. So for aviation, I have already built a center of excellence. For insurance, welcome calling onboarding, I already have built a center of excellence. Now all I need to do is keep on adding clients for me to replicate and expand.
Nachiket Kale
analystOkay. So on this insurance bit, the governing IRDA has made the Bima Central platform. And there was a lot of friction for the companies to really get going on the Bima Central and go paperless basically. So is that the ecosystem where we are involved and because just trying to imagine that there will be a lot of queries. So of course, quantifiably, you can deliver a lot of outcome there.
Rajiv Desai
executiveAbsolutely spot on. All our services are based on API-led micro services layer. And we will be enablers of bringing it to life in terms of a paperless environment. Today, what we are doing on the welcome calling and the clearing of cases and stuff like that, we have superseded that what a human can already deliver. And in days to come, we will be able to benchmark this brilliantly well. And this is going to be one of the biggest use cases in the industry, especially in the insurance side on how can Agentic AI be successful and help steer the for those insurance companies.
Nachiket Kale
analystSo is it safe to assume that you are at the forefront of this and there's not much significant competition? Or are there other companies involved?
Rajiv Desai
executiveYou can fairly say that, and we would believe so because we are the ones who are owning the end-to-end outcome. The other companies are selling isolated solutions. When you don't own anything and you provide an isolated solution, I don't think there are many in the market, right? Because customers today will pay for something that provides them a solution without they having to spend any effort on that. So that's a sweet spot for us.
Nachiket Kale
analystRight, absolutely. So -- and this -- so your customer will always be the insurance companies and not the IRDA or Bima Central in itself, right?
Rajiv Desai
executiveThat is absolutely correct. We can integrate directly with the BMA Central as well, but that is too. So we first want to garner around the likes of large organizations that are out there. And once we've done that is when we will go one step deeper in terms of integrating with the actual ERP systems or the core systems or insurance.
Nachiket Kale
analystOkay. Got it. That was very insightful. And forgive me if my questions are very basic. Just one small question. On the ESOP front, what is the amount of ESOP issued, to be issued, vesting period? And what's the cost which will be incurred?
Sunil Jha
executiveSo in our company, ESOP policy has already uploaded on website. So we have -- testing period is 1 year. We have to define some level -- after L5 level, we are issuing ESOP. And once they will complete a year, then he has right to vest his option like that. So as on date, we have issued around [ 3 lakh ESOP ] like that. But out of that, testing has very less amount like that. And cost is -- we are expecting around INR 2 crores like that.
Nachiket Kale
analystINR 2 crores is annual or quarterly?
Sunil Jha
executiveThe model is very clear. We are not issuing a discount. So in company [indiscernible].
Nachiket Kale
analystSorry, your voice was a bit shaky. Could you repeat?
Sunil Jha
executiveSir, our ESOP model policy is we are issuing ESOP at the current market price. So cost to company is zero. We are not issuing any discount or any less value. So if you talk about cost in part, then cost to company is zero.
Operator
operatorThe next question comes from the line of Mr. Arjun Tambe from [ Aurrevia Crest ].
Arjun Tambe
analystMost of my questions have been answered. I just wanted to know the blended cost of debt of the company. And what plans does the company have to delever the books?
Sunil Jha
executiveCan you come again with the question? It's still a little feeble. I couldn't gather you well.
Arjun Tambe
analystI just wanted to know the blended cost of debt of our company. And how does the company plan to delever the book?
Sunil Jha
executiveYes, sir. If you talk about the debt, we have -- our company is debt-free company. We have only taken exposure of debt in acquisition of Netcom and their effective cost around like 9% like that. So our -- as Akash sir has explained earlier, our company has a strong cash flow position, and that will ease out our debt repayment schedule.
Arjun Tambe
analystAll right. And what are the current active deal pipeline for 2027? And what is our conversion rate for that?
Akashanand Karnik
executiveI'll take that, Sunil. Currently, we are hovering around a good 10% to 12% of our conversion. We have an active pipeline across all cohorts. We are doing and pursuing deals across Latin America, America, India and with the growing numbers with Netcom. So conservatively, we have a sizable number. But just to give you a simple number that organically, we see about a 20% net growth year-on-year for us organic.
Arjun Tambe
analystAll right. And just one more question, if I may. When we are evaluating a prospective acquisition target, what key metrics drive your decision-making?
Akashanand Karnik
executiveWe are first making sure that our target company that we want to acquire are EPS accretive. And secondly, we are looking at right now North America as a market, which has got customers that can really enhance and really move us in the North America region.
Arjun Tambe
analystAll right. And just a follow-up on that. So on an average, how many quarters do you anticipate it will take for a new acquired entity to become margin incrementally accretive or it is...
Akashanand Karnik
executiveSee in the results...
Arjun Tambe
analyst[indiscernible]...
Akashanand Karnik
executiveGo ahead with the question one more time.
Arjun Tambe
analystYes. So I just wanted to know that how many quarters do you anticipate it will take for our company for a newly acquired entity to become EBITDA accretive on a consol basis? Or is it from day 1?
Akashanand Karnik
executiveIt's from day 1. It's already from day 1.
Operator
operator[Operator Instructions] The next question comes from the line of Mr. Malay Sameer from Breakthroughs.
Malay Sameer
analystMy first question is, what is the entry to barrier for competition to come up to a level and start matching our service levels?
Rajiv Desai
executiveAkash, I'll take that question. Today, what we are doing is we are owning the client end-to-end. Today, if you talk about any other company, they have bits and pieces of a service. So for a BPO who is out there, they are providing manpower to the client. Then they are taking AI or AI as a platform from a different service provider. Then they have to integrate, they have to own the resolution. And if there is an SI or a tech stack that needs to be put in, they will bring in a third vendor to make this happen. So in this entire journey of what they are trying to do, there are so many stomachs to feed. And it becomes impossible for them to kind of, one, meet the rates; second, the quality and own the entire end-to-end outcome for the client. So that becomes as the biggest barrier from a competition standpoint. Today, we are a one-stop shop for providing end-to-end resolution across manpower, AI and technology stack across domains that we exist today. So that is our strongest point and the entry barrier to a lot of customers because you will have multiple necks to choke if something needs to be done in coordination and collaboration. So that is where we kind of come in very handy to our clients in terms of owning it end-to-end.
Malay Sameer
analystI greatly appreciate that. Now the second question is, are we the only one giving this service in India? And are we the best who's offering this kind of service in this domain?
Rajiv Desai
executiveAs per what I last remember, none of the BPOs have their own Agentic AI tech stack. They are still trying to build it on their own or taking these services from a third-party outsourced vendor who's providing these services. So today, I can say that we are the only ones who exist in India who have the domain plus tech stack plus AI Agentic capabilities, which is truly born within the organization.
Malay Sameer
analystRight. So obviously, you've shared before as well that from the headcount hours to the resolution, it's a very good vector to shift to, and I accept that. My question is, how do you monetize it? Because when you are just counting headcounts and the hours, it's very simple to make the maths work. But when you talk of resolution, it goes into a subjective domain. So how do you monetize it?
Rajiv Desai
executiveIt's complicated when you kind of think of it, but it's very simple, right? So say, for example, what is the cost of resolution to get a query addressed? Is someone trying to get an answer over a chat, so you consume some time on chat. The query did not get resolved on the chat, you had to move to a different channel. So the same customer went ahead and made a phone call to a contact center to get a resolution. You need to add what time was spent on the chat and the tech stack to kind of bring it to life, plus the time that it was spent on the telephone and the agent cost to kind of do it end-to-end. So that gives us a cost of current resolution for the time. Today, what happens is that if I have Agentic AI deployed on chat, I own the end-to-end outcome, which means a 5-minute conversation can today become a 2-minute conversation because I'm not shifting him from one channel to another channel. So it is still time and motion driven, but the way you calculate it is what makes things look differently.
Malay Sameer
analystOkay. I understand. Now suppose we are catering to the airline industry and then we move into a new industry, say, hotels. So what is the kind of investments and effort that will go into flipping or rather adding hotels to your kitchen?
Rajiv Desai
executiveSure. So today, that's what I was trying to explain earlier that today, forward deployed engineering team, which means a domain expert is only deployed when I have it at the back of a client. And because we've been in this business for over a decade, and we've been servicing these industries, we understand each of these domains at the back of our hand because we are managing almost 85% to 95% of an operations for a client. So we understand the domain, we understand the workflows. We understand what the breakage points are and how do we own it end-to-end. So today, if I have aviation as a sector where I have deployed this, I also have an understanding of an insurance of how it operates. But do I invest in a person or a team who studies insurance end-to-end and then I will look out for clients outside in the market? The answer is no. I draw parallels of what I have been able to deliver here and see what best proposition can I create for an insurance company. After I have won the client, I will go and deploy an expert or we already have the expertise in-house to kind of go and deploy that model. That becomes a huge differentiator for us because our R&D cost now subsequently reduces. Otherwise, you are keeping on building products without having a revenue coming on top of that, if I was able to answer.
Malay Sameer
analystYes. Yes. Now as we keep learning from our AI models for a particular industry, say, for aviation, as you said, and if you get another airline in the same industry, then your learnings would come very handy and you could very easily ramp up the business without too much of an investment into it?
Rajiv Desai
executivePartially correct and partially incorrect. I'll tell you why is it partially correct because what happens is that workflows are replicable, which means the customer journey of an airline is not going to change, right? So when you book a ticket, you have a journey, you have a refund journey, you have a web check-in journey. So the workflows are completely end-to-end replicable. Second, we are not in the business of creating LLMs, which is the large language models, right? What we are in the business is on what sits on top of an LLM. So today, LLMs are commoditized. But what sits on top of an LLM is what we come as differentiator. So the model shift and shift from a journey perspective, what LLM SLM to use, they are already optimized for what we want to use, and we already know what works best in which scenario. And hence, the replication becomes fairly simple for us. But we are not in the business of learning from our clients' data. We would not want to do that because that's complete conflict of interest. It's an IP of a particular client, which should remain as encrypted as secured for them.
Malay Sameer
analystI appreciate. Now can you give us -- and that's my last question. Can you give us a color on how soon will you ramp up within the industry that you are already catering to in the, say, next 3 quarters?
Rajiv Desai
executiveOnce we've deployed a center of excellence, we obviously want to market it more. We want to create use cases around it. And we are constantly creating case studies to kind of garner around same industry, same clients, right? So we've got insurance. We had one. We got the second one right after that. And now we are looking at expanding our horizon within lines of businesses within that insurance company. Once we've done that and once we have the sizable numbers, I think it becomes fairly easy because the proof of the pudding already exists. And we have results that are already out there that talk about our capability and capacity to kind of expand. Once we've acquired a client, now obviously, there are limited number of airlines that operate in the country, but we are taking that offering not just on the domestic market, but also to the international side of things right now. Similarly, for insurance, there's a huge population that we need to cater within the Indian boundaries itself. So anywhere between 3-odd quarters or maybe 2.5 quarters is when we should be able to kind of get the next one in. But there is enough and more work once you land into an enterprise client to kind of keep evolving your service lines.
Malay Sameer
analystAll my questions have been answered. And there's only just one passing, which I want to touch upon. Would you guys run out of capacity, et cetera, if the business [indiscernible] [Technical Difficulty] and the software keeps working the way it is working right now.
Rajiv Desai
executiveSorry, we lost you for a brief couple of seconds, if you can just repeat.
Malay Sameer
analystYes. So my question was that if business ramps up rather quickly, would you run out of capacity? And if you do that, would you just need to hire some humans while your software and AI gigantic AI continues to stay afloat? Or would you need to ramp up that as well?
Rajiv Desai
executiveI think at the back of a business, scaling up is never an issue. So I don't think we'll be running out of capacity. What we are trying to do is we are trying to create more space or more room in an account by adding more Agentic AI into the ecosystem. so that the Pareto still applies, right? 80% of the queries are generated by 20% of the people and stuff like that. So we are trying to scale up that capacity on Agentic AI, which creates room for adding more work, which will require human intervention for complex sort of environments.
Operator
operatorThere are no further questions. Now I hand over the floor to the management for closing comments.
Akashanand Karnik
executiveThank you, everybody, for your time and attention, and we'll see you soon in the coming quarterly results. Thanks a ton. Thank you.
Operator
operatorThank you, sir. Ladies and gentlemen, this concludes your conference for today. On behalf of 1Point1 Solutions Limited, we thank you for your participation. You may disconnect your lines now. Thank you, and have a pleasant evening.
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