Thank you, Darwin. Good morning, and good evening, everyone.

A very warm welcome to HCLTech's Quarter 2 FY '27 earnings conference call. We have with us Mr.

C Vijayakumar, CEO and Managing Director, HCLTech; Mr. Shiv Walia, Chief Financial Officer, along with the broader leadership team to discuss the performance of the company during the quarter, followed by a Q&A.

In the course of this call, certain statements that will be made are forward-looking, which involve a number of risks, uncertainties, assumptions, and other factors that could cause actual results to differ materially from those in such forward-looking statements. All forward-looking statements made herein are based upon information presently available to the management, and the company does not undertake to update any forward-looking statement that may be made in the course of this call.

In this regard, please do review the safe harbor statements in the formal investor release documents and all the factors that can cause a difference. Over to you, CVK.

Thank you, Nitin. Good day, everyone.

Thank you for joining us for HCLTech's Q2 FY '27 earnings call. We delivered a solid quarter, and I would like to begin with the key headlines of the quarter.

First, our advanced AI services continues to scale rapidly and is becoming a key growth driver for HCLTech. Number two, new bookings were the second highest in our history and the strongest first half of any financial year.

Number three, margins expanded significantly through disciplined execution and higher margin advanced AI revenue. Before I go through the numbers, please note that all growth rates that I mention are in constant currency, except for bookings and ARR.

Our services business, which is more than 90% of our business, delivered a strong performance. Services grew 3% sequentially and 4% year-on-year, with organic growth of 2.3% sequentially.

IT and business services grew 2.7% sequentially and 4.4% year-on-year, while engineering and R&D services grew 4.1% sequentially and 2.1% year-on-year. Growth was broad-based across verticals and geographies, reflecting how closely our portfolio is aligned with what the clients are prioritizing today, be it AI, cloud, data, cybersecurity, or application modernization.

Advanced AI revenue reached $219 million this quarter, up 28.4% sequentially and 78% year-on-year. The annualized advanced AI revenue is now 700 $876 million.

This quarter's performance validates our strategy and advances our ambition to become the leading AI solutions company for the global enterprises. You can also see that we are able to offset AI-driven deflation by gaining market share in our core services and through our advanced AI offerings, which is helping us capture a share of the rapidly expanding AI spend across the technology ecosystem.

This is the growth template we aim to consistently replicate going forward. Overall, revenue grew 2.3% sequentially and 2.6% year-on-year.

Software revenue declined 5.8% sequentially and 11.2% year-on-year, and this weighed on our overall growth. HCLSoftware's ARR stood at $1.132 billion, up 7.

sorry, $1.134 billion, up 7.6% year-on-year, which is the best measure of the health of this business and it is growing. A little later, Shiv will share more details on the factors driving the software performance this quarter.

Our EBIT margin was 18.2%, an improvement of 131 basis points sequentially and 71 basis points year-on-year, and it came ahead of our expectations. This expansion was driven by higher margins in advanced AI and gains from AI across our operations.

We achieved this while continuing to invest in AI capabilities, IP, and talent. Let me now turn to bookings.

New deal bookings reached $3.3 billion, up 27% year-on-year and 35% sequentially. This is the second-highest bookings quarter we have ever recorded and gives us our strongest first-half booking.

Clients are working with us on more strategic programs and are choosing us to shape their technology agenda. AI was a central theme in every large deal we've won.

I will discuss them when I go through the pillars of our AI strategy. Our headcount stood at 230,339 as of the end of last quarter, a net increase of 6,450 sequentially.

Attrition was 12.8% on LTM basis. Revenue per employee improved 2.4% year-on-year, a clear sign that our AI strategy is improving productivity across the business.

I would also like to touch upon another topic. Over the last many years, we've ramped up our in-country recruiting efforts to build a significant local talent base.

This is part of our talent strategy, and we will continue with this. In the last couple of years, the number of PERM applications we've filed is a very small number, hence we do not expect the US Department of Labor decision to suspend the PERM program to have any material impact on our talent plans or client engagements.

Turning to our AI strategy, we continue to execute against the five pillars of our AI strategy. This quarter, we saw them contribute as one integrated growth model.

Pillar one is proactively transforming our services where we're systematically embedding AI across our delivery model. As AI adoption expands from targeted deployments to enterprise-wide transformation across engineering, operations, and modernization, we are seeing three clear benefits.

First, AI is improving productivity, quality, and client outcomes. For example, for a leading private bank's complex core banking migration, we built an agentic AI solution that converts functional specifications into validated, review-ready code for the target platform in about 10 10 minutes per routine, with engineers approving every output.

It averaged 87% accuracy for an estimated 9x productivity gain. Second, it is deepening client relationships and driving larger engagements.

Guardian Life Insurance selected us to accelerate its AI-driven technology transformation and deliver seamless customer experience. In this multi-year partnership, Guardian will use HCLTech's AI Force, our service transformation platform, to drive innovation across the enterprise.

The third benefit we're seeing is AI-led transformation is now a key enabler of almost all our large wins. For example, a leading global industry technology company selected us to modernize its mobile application ecosystem.

Using AI Force and through a smart migration factory, we will deliver AI-led assessment, disposition, conversion, upgrade, and testing. This platform-as-a-service outcome-based model is expected to enable rapid and largely touchless modernization and support the transformation of 7,500+ applications.

Pillar two is building differentiated AI IP. As AI becomes universal, we believe differentiation will come not from models and compute, but from platforms, agents, and engineering IP that lets enterprises deploy AI securely, responsibly, and at scale.

We have matured AI Force into a platform supporting software engineering, legacy and product modernization, data engineering, COTS migration, business operations, and IT operations. We released a new version this quarter, and AI Force Agent Store now offers 900+ agents, enabling reuse of proven capabilities and greater autonomy across enterprise workflows.

Legacy and product modernization is emerging as an important growth vector. By combining AI Force with our engineering expertise, we apply AI across code analysis, documentation, remediation, testing, migration, and support, lowering the cost, risk, and time these programs have traditionally required.

This opens a substantial pool of client spending with adjacent opportunities in cloud, data, and operations. Our IP is also gaining recognition.

HCL DevOps Loop from HCLSoftware, powered by AI Force, was named a visionary in the 2026 Gartner Magic Quadrant for DevSecOps platforms. We've built more than 20 industry AI solutions, moving us from horizontal capabilities to industry-specific processes and outcomes.

In physical AI, VisionX 3.0 introduced a fully agentic architecture with new releases for oil and gas and mobility industries. Finally, in our software business, we announced our intent to acquire roboticIQ.ai, a Croatia-based enterprise RPA platform provider, to strengthen orchestration across AI agents and enterprise applications in HCL GUno.

Pillar three is expanding our AI services. This is an important growth engine and a strong area of momentum.

The opportunity spans the full enterprise AI lifecycle: defining strategy and governance, building compute foundations, our software IP, and deploying and operating agentic AI, physical AI, and industry solutions. Our agentic AI offerings has crossed $100 million per quarter this quarter.

Clients increasingly want a partner that can integrate infrastructure, data, models, applications, and operations. Our AI factory proposition answers that need and enables HCLTech to participate across the AI value chain, from compute infrastructure through the applications and business outcomes.

Working closely with NVIDIA's AI factory specialists, our AI factory specialists were among the first and had built, validated, and benchmarked complete rack-scale GB200 NVL72 systems end-to-end. Our AI factory proposition grew 64% Q-o-Q and is a meaningful growth driver.

An AI research company based in the US selected HCLTech as its strategic partner for a large AI factory program. The company is focused on radically improving AI data efficiency and making AI models mirror human cognition.

HCLTech will leverage its expertise in networking, cybersecurity, HPC infrastructure, and AI platform software to integrate and operationalize a production-ready AI factory. This win reflects an emerging category in which clients want a single partner to integrate, operationalize, and ultimately manage highly complex AI environments.

A US-based neo cloud provider selected HCLTech to build and scale its AI-native architecture and infrastructure capabilities that enable hyperscalers and enterprises to unlock the full potential of AI at scale. A Europe-based financial services provider selected HCLTech to deploy an agentic solution to provide commercial relationship managers with real-time portfolio insights and proactive covenant monitoring, increasing capacity, reducing manual effort, strengthening risk management, and unlocking new cross-sell opportunities to support up to 2x revenue growth.

A US-based healthcare provider selected HCLTech to deploy ChatGPT Enterprise and establish a governed AI operating model that enables secure integration of AI capabilities across enterprise applications, delivering context-aware experiences that enhance employee productivity while maintaining enterprise-grade security, risk management, and compliance. A US-based global power technology company selected HCLTech to build an AI-powered digital thread that combines agentic AI and intelligent orchestration to connect engineering, manufacturing, supply chain, and service operations, enabling faster decision-making, accelerated time to market, and enterprise-wide AI transformation.

There are several other deals in the investor release. Physical AI continues to deliver encouraging revenue growth across robotics, IoT, and edge AI, building on our engineering and operational technologies heritage.

We're also continuing to find strong traction with our semiconductor propositions. A global semiconductor leader picked us to run a turnkey silicon development program from design through delivery for high-performance compute workloads aimed at the AI market.

AI advisory is gaining traction. This enables us to help our clients at the start of the AI journey and then extend into helping clients transform their operating model and change management for an AI-native world.

For example, this is playing a key role in the large deal that we won with a global retailer and is currently under execution. In sovereign AI, demand is shaped by data residency, regulations, security, and national capability.

In India, we announced our plans for our first AI data center in Bhubaneswar in partnership with Sarvam and Government of Odisha. It marks a significant step in building the infrastructure layer of our full-stack AI strategy.

Our fourth pillar is scaling strategic partnerships, combining leading technology innovation with our engineering depth, industry expertise, IP, and global delivery. This quarter, we achieved OpenAI Advanced Partner status and joined its Cyber Defense Initiative, jointly developed AI factory deployment and validation capabilities with NVIDIA, announced a family of Gemini enterprise offerings and a joint transformation program with Google Cloud, and are scaling enterprise AI with ServiceNow, and signed a partnership with Cohere, focused on Canada and Germany.

Today, we announced a global premier partnership with Anthropic to accelerate enterprise adoption of agentic AI with a focus on safety, cybersecurity, and governance. We will establish a dedicated Anthropic business unit and a Center of Excellence to accelerate deployments of Claude in enterprise environments.

HCLSoftware will become an Anthropic ISV partner, embedding Claude and Claude Code into select enterprise products with frontier safety guardrails. We're utilizing all our ecosystem relationships to develop engineering capabilities and new offerings that create new sources of growth.

The fifth pillar of our strategy is developing AI talent at scale. This pillar enables the other four.

We believe leadership in AI will depend on combining AI skills with deep engineering, solutioning, and industry expertise. We continue to enable our employees to become AI builders, AI super users, and AI operators.

We are scaling a differentiated forward deployed engineer capability that combines deep AI engineering with customer discovery, solution architecture, and rapid prototyping, taking opportunities from use case to production. We are developing a centralized FDE Academy with tracks aligned to OpenAI, Anthropic, AWS, Google, and NVIDIA.

We are also investing in the next wave through an applied research program with MIT focused on safety and agentic systems, and working with Microsoft to build a frontier transformation engineer program that further strengthens specialized talent aligned to strategic ecosystem platforms. Our focus now is to leverage these five pillars to create long-term growth through deeper adoption in existing accounts, new relationships through advanced AI, and participation in large transformation programs.

Beyond these five pillars, we've made several other moves this quarter that will support our future growth. We launched HCLTech Pulse, a dedicated business unit for fast-growing enterprises with an annual revenue of $500 million to $5 billion, a segment we believe is underserved.

It brings together our AI competencies to help these clients modernize and unlock value faster. We completed the acquisition of HPE's Telco Solutions Group, adding differentiated IP across OSS and 5G subscriber data management.

We also expanded our India footprint. Alongside our AI data center in Bhubaneswar, we announced a global technology center there to deliver AI solutions for global enterprises.

We opened a new Global Technology Center in GIFT City, Gujarat, focused on financial services clients, and we launched our Advanced Semiconductor Lab in Bengaluru with an investment of ₹185 crores, providing post-silicon engineering, testing, validation, and failure analysis, aligned with our spec-to-part business. Each of these will contribute to our future growth.

Now coming to the pipeline and the demand environment and outlook, our pipeline remains strong and is quite balanced across service lines, verticals, and geographies. We saw healthy demand towards the end of the quarter.

However, we know that the environment has been fluid and very dynamic, and the demand is influenced by various factors, we remain cautious. As we see today, clients are prioritizing AI, data, and operating model transformation whenever there is a clear case for efficiency, innovation, and business resilience.

We have strong propositions to address these. As we look ahead, we're optimistic, driven by record first-half bookings, strong demand for our advanced AI propositions, improved margin performance, and our full-stack AI offering that is being built incrementally.

We will continue to invest the gains out of our operational efficiency to expand our AI advantage by investing in capabilities, IP, and AI talent. Our FY '27 growth guidance is now 2.5 to 4%, and our EBIT margin guidance remains at 17.5 to 18.5%.

Services revenue growth guidance is 3 to 4%. Our revenue guidance includes impact of our acquisitions, and Shiv will provide you more details.

Our confidence in this guidance rests on our strength of bookings, our healthy pipeline, and sustained momentum in AI-led services. With that, I would now request Shiv to take us through the detailed numbers.

Thank you, CVK. Good morning, good afternoon, and good evening to all of you.

Thank you for joining our Q2 financial year '27 earnings call. Let me walk you through our financial performance for the quarter.

Starting with the revenue performance, please note that all growth numbers quoted are in constant currency, unless noted otherwise. Total revenue for the quarter is $3,724 million, a growth of 2.3% quarter-on-quarter and 2.6% year-on-year.

Services revenue for the quarter came in at $3,442 million, a growth of 3% quarter-on-quarter and 4% year-on-year. Our ITBS services grew by 2.7% quarter-on-quarter and 4.4% year-on-year.

The ERS segment grew by 4.1% quarter-on-quarter and 2.1% year-on-year. HCLSoftware revenue for the quarter is $294 million, representing decline of 5.8% quarter-on-quarter and 11.2% year-on-year.

Let me provide some additional context on HCLSoftware's revenue performance this quarter. At the beginning of financial year '27, we had anticipated a softer performance in this software business.

I want to explain the reasons behind it. This year, and particularly in Q2, we had lesser multi-year licenses that were due for renewal compared to last year.

The same is visible in the additional disclosure in the investor release this quarter. You would notice that the revenue recognized from multi-year subscription license has gone down from $81 million in Q2 FY '26 to $39 million in Q2 FY '27.

As you would know, the revenue recognition for an on-premise term license varies based on the term of the licenses. Typically, upfront revenue recognition is around 80% for a one-year license and as much as 60 to 70% of the entire term for a two to three years license, with the balance recognized over the contract term.

The reported revenue decline does not accurately reflect the underlying health of the software business. The same is evident in the healthy ARR growth that we have witnessed even in this quarter.

Now, let me break out the inorganic revenue contribution in the quarter. HPE Telco Solutions was consolidated for two months in Q2 and contributed approximately $21 million in revenue, helping services sequential growth by 62 basis points.

Jaspersoft was consolidated for the full quarter, giving us approximately $15 million. Total inorganic contribution in the quarter stands at $35.6 million, which aided sequential revenue growth by 97 basis points.

In terms of geographies, during the quarter, the USA grew 3.5% year-on-year, Europe declined by .3%, rest of world grew 11.4%, and India grew 21.8%. Moving on to verticals performance, our Q2 growth was broad-based, with five out of seven verticals registering year-on-year growth.

Growth was led by retail and CPG and financial services, which grew 14% and 7.1% year-on-year, respectively. In terms of clients, our continued focus on deepening customer relationships has helped us expand the numbers of large client relationships.

On a year-on-year basis, we added one client in the USD 100 million+ category, eight clients in the USD 50 million+ category, 10 clients in the dollar 20 million+ category, and 33 clients in the dollar 10 million+ category. Let me now share the details on the profitability.

Our EBIT is at $677 million, representing 18.2% of revenue. Adjusting for restructuring expenses of 84 basis point, during the quarter, our Q2 EBIT margin was 19% compared with 17.5% in the previous quarter.

Net income for the quarter is $538 million, representing 14.4% of revenue. In terms of EBIT margin walk, there is a sequential improvement of 131 basis point in the company margin in Q2.

The margin bridge explaining the same is as follows. Project Ascent, including AI-driven efficiencies, gave us 73 basis point.

Superior margin of services offering under our advanced AI revenue gave us 32 basis point. Operating leverage at SG&A level due to growth acceleration gave us 50 basis point, and forex gave us 23 basis point.

On the headwinds, there was 22 basis point impact on account of higher restructuring costs in this quarter compared to previous quarter and 25 basis point impact due to HPE Telco Solutions acquisition. Moving on to return on invested capital, ROIC, our ROIC continues to remain strong, supported by our ongoing focus on profitability and efficient capital management.

The last 12 months' ROIC is at 41.2% for the company, up 261 basis points year-on-year. Services ROIC is at 49.4%, up 411 basis points year-on-year.

HCLSoftware ROIC is at 19.2%, down 264 basis points year-on-year. In terms of cash generations, over the last 12 months, free cash flow is at $1.78 billion, whereas operating cash flow is at $1.96 billion.

Operating cash flow to net income conversion is 95%, while free cash flow to net income conversion is at 87% for the last 12 months. Our balance sheet remains strong, with gross cash at $2.66 billion and net cash at $2.56 billion as on 30th September 2026.

Total DSO, including unbilled receivables, is at 84 days, representing a decrease of two days quarter-on-quarter. Now for our shareholders, normalized diluted EPS for the last 12 months came in at ₹70.22, representing growth of 5% quarter-on-quarter and 12.2% year-on-year.

Including the one-time impact of new labor codes, diluted EPS was 67.56. The board has declared an interim dividend of ₹12 per share for the quarter.

The record date is October 16, 2026, and the payment date shall be October 26, 2026. This brings our last 12 months payout to ₹60 per share, effectively distributing 88.6% of our net income.

Now on an update on our guidance, FY '27 guidance. For FY '27, constant currency revenue growth is expected to be between 3% to 4% for the services business, and at the company level, the revenue growth is expected to be between 2.5% to 4%.

The full-year revenue growth guidance now includes inorganic contribution of 62 basis points for services and 87 basis points for the company. This implies that midpoint of our organic growth guidance both at services and company level is broadly unchanged.

EBIT margin is expected to be between 17.5 17.5% and 18.5% for FY '27. That is all from my side for now.

I would now like to hand over to this session to our moderator for a Q&A session. Thank you.

Yeah. Hi.

Am I audible?

Yes. Yeah.

Hi, CVK. CVK, congrats on the Anthropic partnership.

We also announced something very similar with OpenAI sometime back. My question is are we seeing some sort of structure being formed on AI implementation taking a form similar to cloud migration where ecosystem partners kind of had some benefit?

How is the value being shared between frontier labs and managed services right now? Let's say in the steady state, how do you expect this value to be shared as we implement and as we kind of integrate more and more of the AI frontier labs products or services into our offerings?

That's one. The second question is on our AI revenues.

They seem to be accelerating quite handsomely. My question is who are we competing with here?

Are these deals kind of more consulting led with existing clients, where we're showcasing our own proactive sort of initiatives, or are they more competed a little bit on the market? How do you see these deals going forward where clients will have more and more vendors coming in to to kind of gain their attention?

Lastly, on the FCF bit, Shiv, there was some weakness over there on a TTM basis. I understand that there's a couple of one-offs in the past couple of quarters.

When can we expect to kind of get our cash conversion back to our 3 to 4 year average? Thank you so much.

Yeah. Thank you, Abhishek.

Let me start with the first question. You've mentioned about AI partnerships with OpenAI, which we established almost a year ago.

Early days were a little bit we're trying to just understand and see how enterprises can leverage OpenAI. Now, we are seeing a very good pipeline and deals for enterprise implementation of the enterprise ChatGPT and number of other solutions that OpenAI has.

I think our value here is largely in the FDE motion, the services around it. There is always a small piece of ongoing work, because most of these platforms are still early days within an enterprise.

There is going to be a long tail of work that will come once we are inside an enterprise with one partner trying to scale. Anthropic is while the partnership we achieved the global premier status, we've been working with them for some time.

Here again, it is largely the services model, but I think the biggest the nonlinearity is coming from the fact that some of our products, like AI Force, is getting integrated, and a number of software products are having native integrations into OpenAI, and now we propose to build it with Anthropic, as well. There, I think we have a pricing which includes the token cost as well.

There, I think the equation will be a little bit not so much people-centric. It will be nonlinear.

That's on the first question. On the AI, advanced AI revenue is scaling well.

There are certain components of this advanced AI services where, in fact, the two of the largest deals that we won, they're all single sourced primarily driven by our relationship with our partners. Now, and where we have come across some kind of competition, it is with some boutique providers.

There are some other components of advanced AI like semiconductor, inferencing chip design, where we see some of the service providers in the mix. The third category will be implementing an agentic AI solution, building an agentic AI solution.

That is a place where we find a lot of service providers. The fourth is all the IP and platform that we build.

We've been continuously focusing on monetizing the IP. While there is always a permission issue for a services vendor to go and monetize the IP, but I think we have crossed that hurdle.

Many of the large deals that we've signed, we have specific line item for AI Force platform. Then there is this operating model transformation of trying to transform the application landscape.

While the application landscape infusing AI is part of our regular AI business, but the change management associated with it and the operating model consulting, these two elements come under advanced AI, and we are building these capabilities as well, and couple of large engagements have that. I'll refer to Shiv for the FCF question.

Yeah. Thanks, CVK.

Abhishek, the LTM calculations this quarter, FCF to NI conversion has two one-time impact. One is the BAPA tax payment, which is the bilateral advanced pricing agreement we participate, say government-to-government transfer pricing agreement, and linked to that there was some tax payment.

The second is the shift from in-house to an external gratuity trust, which contributed to some money being paid to the trust. Both these contributed to cash outflow in this period LTM basis.

We should be able to see that this FCI to NAI revert to maybe 100% plus table as these one-off roll over from LTM calculation. I just want to add also that we have managed our cash conversion cycle very well, despite headwinds from expiry of MAT credits last year and lower non-cash amortization in software business, which you would have seen in the P&L also.

Thank you so much. That was very clear.

Thanks.

Thank you.

Hi. Thanks for the opportunity, and congrats on strong growth and good margins.

Shiv, you talked about a 32 basis point contribution to margin improvement from advanced AI services. If you look at it, it seems really high margins.

That it implies high 30s EBIT margins for that segment on an ongoing basis. Should we think about it being that high, or is there's also due to say some investments that you have maybe in people that just you can think of as investments that now have got utilized and or maybe even investments in platforms where there was no corresponding revenue, but now you actually have the revenue and that's getting the cost spread over a larger revenue base?

How should we think about that going forward?

Yeah. There are two components.

Go ahead, Shiv. Go ahead.

No,

CVK, please go ahead. Yeah.

There are two components to this, Ravi. One is the services component, and the second one is the IP and platform component.

IP and platform component, the margins will be very high, very similar to a software business. The gross margins will be upwards of 70%.

For the services component, I think the margins will be at least 7 to 10% higher than traditional services. That is how we are thinking of this at this point.

That's how we see this play out as well. At least so far, in all the deals, we've been able to generally do this at a better realization and margin.

Right. Thanks, CVK.

Just to clarify, this IP component is not classified as part of software product revenue, correct?

No, it's not.

It's not. Okay.

Thanks. One follow-up.

You have really good

Just one clarification. All our AI Force and industry AI solutions, we still continue to classify them under services and then under AI, advanced AI services, as well.

There are a couple of products in the software business which are completely AI-native, like HCL GUno, which is a universal orchestrator platform, and the Zenia data intelligence platform. These two are software products revenue, which are classified under advanced AI.

Perfect. All right.

Thanks so much. CVK, just clarification on I'd say query on the guidance.

The top end, I understand you've wanted to maintain that a narrower band. That's why the top end has been trimmed.

You're already at 4% year-on-year growth in your services business in CC terms. You have a strong pipeline.

You're saying the outlook also has been good. Generally, in Q3, anyway, seasonally you don't have the weakness that your peers have.

Why not really raise or keep the top end the way it was at 4.5?

Yeah. You are right.

We have strong quarter on multiple fronts, and obviously, Q3 will be a strong quarter due to the software step-up. The environment remains fluid.

Like last year in February, we thought we were in a normal situation, and I met a lot of investors. The day after that is when the Middle East conflict happened, then a lot of things went in a different direction.

I think we are in a volatile world, and we don't want to increase our guidance and things like that. Things can change fast, both on the positive and negative side.

We're seeing a good environment, and we hope it will continue. Services, definitely, we feel confident to be slightly above the midpoint.

Right.

Thanks. One last question.

For some of these AI deals where you talked about clients who are trying to adopt maybe whether it's Anthropic or OpenAI, I would assume that there is no real TCV attached to some of these, right, because these are more on an exploratory basis and maybe on a time-and-material basis. Would that be right?

It's a mix of both. I think the whole change management related, OMT, which is operating model transformation, that we've signed a couple of engagements on a fixed-price basis, as well.

Agentic implementation on Google and other things largely comes as time and material.

Perfect. Thanks so much, and best of luck.

Yes, thanks for the opportunity. Couple of questions.

One, our top client buckets across top five, 10, and 20 still don't seem to be growing. I know you had called out in the past that there were three clients where there were ramp downs, but just trying to understand are those ramp downs behind us, and when can we expect these buckets to start growing?

Rishi, I think whatever challenge we kind of highlighted in the three of our top 20 clients, we had already factored that in our guidance. Two telco customers where discretionary spending was under pressure, one manufacturing customer where there is a steep ramp down due to their own budget reductions.

I would think whatever we had in mind has already played out. Whatever we had assumed, that has played out.

It's still, you cannot be sure because there is a lot of discretionary spend in the top two telco clients. What you should see is despite these headwinds, we're very pleased with the upselling to our existing customer base as is reflected in the addition of 100 million, 50 million, 20, 10 client buckets on a year-on-year basis.

I think whatever assumptions we had, that has played out. I hope that answers your question.

Understood. Yeah.

Thank you so much. The second question is on margins.

Just wanted to understand how do we read the margin movements across services and the software businesses? In this quarter, we have seen, and if we look at even on a YoY basis, a fairly sharp expansion in services business margins.

Software, on the other hand, has declined sequentially, and still there is an expansion. Just wanted to understand how do we read the divergent performance in margins versus how revenues have been.

Shiv, why don't you take this?

Sure. In terms of the software just Give me a second.

The software, I think in the Q1, we had a one-off restructuring cost impact. That impacted the margins in Q1, and in the absence of that restructuring cost, as well as the benefit we got because of optimization of in the employee-related expenses, along with the lower amortization, has helped us to in the sequential margin expansion in this quarter.

Our plan for software is we continue to plan and rationalize the cost to align it with with the growth outlook we have in software. That's how you would see the margin expansion in software business.

On the services side, I think it's just, as I said, the Project Ascent as well as I explained the margin walk helped us, as well as the uptick in the advanced AI revenue, that has been helping us to improve margins.

Okay. Thank you so much.

Thanks. Just a clarification on the software business first.

The organic decline seems to be like 15, 16% year-over-year. What is the outlook here?

The ARR would anyway also have benefited from the Jaspersoft acquisition.

Yeah. First is excluding the impact of Jaspersoft, our ARR has grown 2.6% YoY despite a 15% year-on-year decline in revenue.

All of this is in constant currency. I think ARR is the right metric.

KK is the President of our Software business. I would request KK to provide a little bit outlook on the software segment.

As Shiv said earlier that the revenue decline does not accurately reflect the underlying factors of the software business. As CVK just alluded on the ARR number, take Jaspersoft out, it is still at about 2.6%.

If you add Jaspersoft, it's about 7.8. This is the right metric on which we are trying to operate because, as Shiv explained previously, the impact of single year and multi-year renewals and other factors continues to have that piece.

In this quarter, we did not have that much amount of multi-year renewals which were available compared to the previous quarter. I think a lot of these renewals will come back in FY '28 and FY '29 as part of our renewal cycle.

On an overall mix of the software portfolio, we don't see much impact of AI in this, except we have a small footprint of our application software products which is in there. Over the last few years, we've been pivoting on two big areas in our software business: one is what we call as intelligent operations, which is around products around IT operations, cybersecurity, and business process operations; and second is revamping our modern data stack, modern data AI stack, which is around the IT and data intelligence platform.

A lot of our acquisitions and inorganics which we have done, capabilities which we have built organically, including the likes of Zenia, Hobi, and the recent robotic, which CVK mentioned in the start of the call, these are all feeding into the direction where we want to grow the business.

Thanks for that. Just a clarification, last six quarters, I'm looking at the data, the ARR has been growing.

I'm just trying to understand how long can this disconnect between ARR and the reported growth continue?

Yeah. I think if you look at the revenue profile, there is two components which can be fluctuating.

One is the perpetual license revenue. The second one is the impact of upfront revenue recognition of a multi-year license.

I think, as Shiv said, almost 60% of a three-year license will get recognized upfront. That can cause some kind of cyclicality in this.

Other than this, if you really take out the multi-year piece, then there should be a proper correlation between ARR and revenue.

Understood. Just one more clarification, is there any seasonality in the HPE CTG business because the run rate of revenues seems to be lower than most expectations?

It's for the two months No, CTG you're talking about? We've not called out CTG revenue.

The only thing we've called out is the acquisition, which is Telco Solutions Group of HPE, which is a recent acquisition, it's called Aruba TS. That had two months impact.

You will have, and I think Shiv called out the impact of that. If you kind of extrapolate it to three months, it should largely give you the right number.

There could be some small seasonality, but nothing major.

Sure. Thank you.

Hi. Thanks for taking my question.

My first question is on the outlook. It looks like there is a sharp deceleration in the revenue growth in services business on a sequential basis in the second half compared to 2Q.

If you look at 2Q, organic growth has been around 2.4%. Is there any higher-than-usual seasonality we are building?

Is there any slower conversion of deals into revenue that we are building in, or is it just conservatism that we have kept in our guidance?

As we called out, when we announced the mega deal, it's not going to contribute to any revenue in Q3 or Q4. It is going to come in Q1 of next year.

That is one outlier. Other than that, we don't see anything to be very different.

Generally, we've been conscious not to kind of create any expectations of higher growth. The environment has some uncertainties and it's been a volatile last few quarters.

We are being cautious there, so. Services, most likely, will be better than the midpoint.

Got it. My second question is on the partnerships.

I think that the ecosystem partners that we have is a very significant contributor to our revenues. Over the years, that number may have increased.

Is there any sense of what that percentage of revenue looks like? Keeping that in context, how do you think the partnerships with these frontier model companies like OpenAI or Anthropic would translate into material revenue from let's say next 12 to 24 month point of view?

We are not very precisely tracking all the revenue that comes through the partner channel because a lot of things we work in our client environments. We also take it to the partners to scale different solutions and things like that.

I know there is industry players are calling out how much is coming from ecosystem partners, but I don't think we have a real good mechanism to track it. A lot of it could be what we call as influenced revenue rather than really a revenue coming from, like if we are migrating somebody from let's say on-premise to let's say Azure, that will be treated as an influenced revenue for Azure, and that is one measure that they use.

We obviously are focused on services and the annuity revenue that comes out of it. We're not directly tracking that.

There is definitely one channel where we are operating as a professional services partner for almost all the cloud hyperscalers and now for the frontier companies and semicon GPU companies. I think that's still a small number in the overall scheme of things, but growing very well.

Got it. Last question is your comments, CVK, you made on margins that operating efficiency, whatever you get, you will be plowing back in the business.

What's the broad philosophy on the margins right, because a couple of years back, we had an aspiration to get to 19, 20, and then we were in the investment phase, we brought down our overall margin number to 17.5 to 18.5 in that range. Now, obviously, we had some restructuring charges this year, which I am presuming may not be sustained charge for the next year.

Keeping the puts and takes, variety of tailwinds that you talked about on the advanced AI being higher on the margin side and multiple investment that you have kind of outlayed for yourself, what's the range that one should think about from a medium-term perspective? I think our

our earlier aspiration was 18 to 19, and that could Last year, we had, this year we specifically called out the restructuring charges and then we had reduced the guidance to 17.5 to 18.5. But 18 to 19 is our desired band, but I wouldn't want to kind of comment on it now because the industry is changing significantly and we would always want to reinvest to gain more capability and differentiation rather than optimize margins in this phase of the industry.

All right. Thank you so much.

All the very best.

Thank you.

Thank you, everyone, for joining our earnings conference call. We've delivered a strong quarter on multiple fronts, and we have a strong execution plan for obviously our strongest quarter in any year, and we're all geared up to execute well and deliver a good outcome.

Our guidance is also well informed by all the things that are happening both within the business and in the external environment. As I close, I wish all of you a very happy festive season ahead.

Thank you, and good evening.