Mphasis says 71% pipeline AI-led as Tria targets operations

Mphasis Limited said 71% of its Q2 FY27 pipeline was AI-led, up from 12% when Mphasis.ai launched three years earlier, while management said Mphasis Tria is opening business and operations transformation budgets. Mphasis has not disclosed Tria-specific revenue or pipeline value, so its direct commercial contribution cannot yet be measured.

What did Mphasis report about its AI-led pipeline?

Mphasis reported that AI-led opportunities represented 71% of its pipeline in Q2 FY27, compared with 12% at the launch of Mphasis.ai three years earlier. The total pipeline has grown to three times its original size since that launch and reached a new high in Q2, rising 4.4% sequentially and 23% year-on-year.

The AI mix also appeared in contract wins. Mphasis said 66% of Q2 total contract value, or TCV, wins were AI-led, up from 63% in the preceding quarter, and it closed five large deals. Management said net new TCV has remained above its stated threshold for six consecutive quarters, supporting a higher baseline for deal closures.

The pipeline was not limited to large transformation programmes. Opportunities below the source-stated $20 million threshold increased 35% year-on-year and 9% sequentially, while TCV for deals in that category rose 26% on a trailing-12-month basis. Management said this reflected continuing shorter-cycle activity alongside larger, multi-year opportunities.

Mphasis said the pipeline was broad-based across verticals and deal sizes. The banking, financial services and insurance, or BFS, pipeline grew 4.1% sequentially, compared with 4.8% for non-BFS, while Modernization and XaaP recorded the strongest year-on-year pipeline growth among the company’s offerings.

Why is Mphasis Tria aimed at business and operations budgets?

Mphasis said Tria is intended to move enterprise AI from technology adoption to governed decisions affecting revenue, margin and risk. The platform’s operating loop is to understand, decide, act, measure and improve, with people governing exceptions rather than approving routine work. Management said feedback from each governed decision can add enterprise context to subsequent deployments.

Management said business and operations leaders are increasingly funding AI alongside chief information officers. In BFS, Mphasis cited lending origination, payment-exception processing and client onboarding as areas where Tria is opening business-process budgets. It also described AI-led operations transformation discussions with insurers and on-demand intelligence discussions with technology clients.

This changes the addressable spending pool, according to management, because Tria is intended to reach the operating core of an enterprise rather than only its technology estate. Mphasis said Tria-led opportunities can combine optimization, transformation and continuing operations in larger, multi-year contracts, but it did not quantify any increase in total addressable market.

Management cited an ISG September report as external context for this approach. According to Mphasis’s description of that report, nearly half of AI budgets now sit outside information technology, while model costs make up about one-third of total AI investment. Mphasis said its differentiation rests on enterprise context, causal decision intelligence, orchestration and governance rather than frontier models alone.

How is Mphasis converting Tria opportunities into delivery?

Mphasis said Tria-led opportunities are increasingly starting with a proof of value using a client’s own processes before a wider rollout. Management described the opportunities as business-leader sponsored, outcome-oriented and larger or multi-year, but provided no count, conversion rate or separate TCV figure for Tria.

The company has organized its commercial approach around value streams in banking, insurance and healthcare. These are packaged offers for recurring business problems, each with a specified buyer, outcome measures and reusable assets. Mphasis said work begins with a vertically packaged offering, which is designed to make initial client deployments repeatable.

Mphasis has also placed forward-deployed and engineering solutions teams alongside delivery teams in client environments. Their process is to frame the business problem, compose the capabilities, prove the case with evidence and then scale. A product and platform team is intended to turn learning from each deployment into reusable capabilities for the next engagement.

Management said it is certifying client-facing technology leaders on value-stream playbooks and expanding forward-deployed engineering capacity. These investments are central to the stated plan to move from a first conversation to scaled delivery, although Mphasis did not disclose the number of certified leaders or the size of the forward-deployed team.

What current performance supports Mphasis’s AI strategy?

Mphasis said Enterprise Applications remained its core growth engine, contributing 75.6% of revenue. Direct revenue in that service line grew 3.7% sequentially and 14.4% year-on-year in constant currency, which management attributed predominantly to AI-led modernization deals.

Business process outsourcing, or BPO, also grew faster sequentially than the Direct business overall. BPO Direct revenue increased 6.6% sequentially and 18.7% year-on-year, compared with 3.5% sequential and 11.3% year-on-year growth for Direct revenue overall. Management attributed BPO momentum to new deal wins and AI-led propositions, including Tria-led process modernization.

BFS Direct revenue rose 4.5% sequentially and 15.0% year-on-year in constant currency in Q2 FY27. Insurance returned to 1.8% sequential growth and grew 14.7% year-on-year, with management citing Tria-led optimization work in underwriting, claims and risk operations. Technology, media and telecommunications, or TMT, grew 10.9% sequentially and 14.5% year-on-year in Direct.

The regional picture was mixed. Americas Direct revenue grew 3.1% sequentially and 12.4% year-on-year, while Rest of the World rose 16.4% sequentially and 23.5% year-on-year in constant currency. EMEA declined 3.3% sequentially and 9.0% year-on-year; management said a globally structured engagement had been allocated across regions under its contract-origin classification.

What does the AI pipeline mean for Mphasis’s FY27 outlook?

Mphasis raised its FY27 revenue-growth outlook to low double digits from high single digits to low double digits. Management said its confidence came from backlog, pipeline, deal propensity, in-quarter revenue added in Q2 and the resulting higher run-rate base, rather than from pipeline alone.

Client metrics provided part of that support. On a trailing-12-month basis, the top five clients grew 15.1% year-on-year and clients ranked 11 to 20 grew 22.7%, compared with 13.0% for the top 10. Mphasis added two clients to the Rs 50 crore-plus revenue bracket sequentially, three to the Rs 20 crore-plus bracket year-on-year and five to the Rs 5 crore-plus bracket year-on-year.

Mphasis retained its operating-margin target band of 14.75% to 15.75% while continuing to invest in its capabilities. Q2 earnings per share rose 14.6% sequentially to Rs 29.4, while days sales outstanding, or DSO, were 105 days after normalizing for remittances initiated on September 30 and received in October.

Management said it expects DSO to return to double-digit days in Q3 and continues to target conversion of 80% of FY27 net income into operating cash flow. Those targets depend on the expected normalization of remittances and on continued conversion of backlog and signed deals into revenue.

Conclusion

Mphasis’s Q2 FY27 disclosures show that AI has become a central part of its sales pipeline and recent contract wins, with 71% of pipeline and 66% of TCV wins classified as AI-led. The more consequential strategic shift is management’s effort to use Tria to address business-process and operations spending, linking AI deployments to measurable operating outcomes rather than technology adoption alone.

The next disclosure to watch is whether Mphasis begins to quantify Tria’s pipeline, TCV or revenue contribution. In the nearer term, management’s low-double-digit FY27 revenue-growth outlook, 14.75% to 15.75% margin target, 80% cash-conversion target and expectation of double-digit DSO in Q3 provide the reported measures for judging execution.