In the News

According to Mantej Singh Randhawa, you can ask 10 supply chain employees to define agentic AI and get 10 different answers.

Enterprises are moving from work processed by people and validated by people to work processed by machines and validated by people, all wrapped in responsible AI.

As AI safety and governance move to the center of the enterprise agenda, the constraint is no longer model capability, but governance built into operations, the premise behind Genpact's pivot to Agentic Operations.

A significant amount of Genpact's current agentic AI customers are running on outcome-based models, and most new customers are signing onto outcome-based AI for agentic processes.

AI strategy and workforce strategy now go hand in hand, and supply chain organizations that invest in both will move faster and turn AI into a sustained competitive advantage.

Genpact's Steve Prewitt on why the real risk in AI-driven decision-making isn't the model; it's the foundation underneath it.

AI can handle very complex tasks when the objective is clear, the data is reliable, the process is defined, and the outcomes are measurable. 

The real test of AI is not whether it can perform in a controlled pilot, but whether it can operate in the last mile of the business: the complex, exception-heavy layer where work actually gets done, decisions are made, and outcomes are measured.

The success of an agentic solution is less about the intelligence of the models and more about the quality of guardrails put in place.

Organizations need high-quality well-governed data to enable and trust AI agents to make real-time decisions autonomously. 

Many guardrails can be programmed, but it also needs human guardrails. Autonomous should not mean ungoverned. 

The ROI that’s being measured now is really on margins, on growth, on speed, on risk reduction, and converting all of that into some sort of business value

After two years of agentic AI pilots, proofs of concept, and experimentation, enterprises are entering a more demanding phase of adoption.

For CFOs, the question is no longer whether AI is entering the enterprise, but whether the growing investment behind it is translating into measurable business value.

The next phase of AI maturity will be defined not by how much companies spend but by how effectively they measure outcomes.

While agentic AI can significantly enhance execution, human judgment, accountability and governance remain critical to enterprise adoption at scale.

According to Genpact Global Agentic AI Officer Vijay Vijayasankar, the institutions that lead India’s next phase of financial services growth will be those deploying AI in ways their customers trust and their regulators can inspect.

According to Genpact Global Data & AI Leader Matt Arellano, enterprises need to figure out how to manage the identities of AI agents, control access to data, create audit trails, and filter prompts and content.

Siloed patient and claims data and disconnected clinical systems limit what artificial intelligence can deliver, according to a new report from Genpact and HFS Research.

Organizations are being held back by four interconnected forms of enterprise debt: process debt, data debt, technology debt, and talent debt.

Resolving enterprise debts can unlock approximately 8% faster annual revenue growth and 16% annual cost reduction, according to a study released by Genpact and HFS Research.

According to a new report from Genpact in partnership with HFS Research, 85% of companies admit that enterprise debt is “actively limiting” the value they can extract from AI by creating an unstable foundation for such projects to succeed.

As enterprises struggle to scale AI, Genpact is leaning on its decades of process work to become the foundation for agentic operations.

Rather than spending most of their time writing code, developers increasingly focus on defining intent, capturing requirements through specs, designing system behavior, and resolving complex scenarios that fall outside established patterns.

The Iran war has upended corporate insurance. According to Genpact Global Head of Agentic Insurance Solutions Yasir Andrabi, the attribution problem makes it worse.

Ajay Vasal, Senior Vice President, Data & AI Services, Genpact walks through Genpact's own AI-first transformation journey, why outdated productivity metrics are obscuring true AI ROI, and what it will take for enterprises and IT firms to shift from labour arbitrage to intelligence arbitrage in the agentic era.

According to Genpact Global Agentic AI Officer Vijay Vijaysankar, the shift to AI-driven autonomous operations is less about isolating AI as a revenue line and more about embedding AI into the fabric of how work gets done.

Trust in analytics results is slipping in many organizations, often due to dashboard sprawl. Genpact's Matt Arellano has seen what happens when dashboards outpace governance.

According to Vasal, enterprises are moving aggressively into AI adoption, but many are still struggling to redesign the operating models needed to support autonomous execution at scale.

Genpact’s Global Finance Advisory Leader Prithwijit Chaki shares his take on how CFOs are achieving bottom-line business value.

In his byline, Genpact CEO Balkrishan “BK” Kalra explores why competitive advantage in the agentic AI era will depend on deep process context, disciplined execution, and accountability for outcomes.

A proof of concept or minimal viable product may be all a developer needs, but some question whether vibe-coded applications are ready for production, like Rajesh Padmakumaran, vice president and AI practice leader at Genpact.

Host Sanjay Puri speaks with Vijay Vijayasankar about what it takes to deploy agentic AI that delivers real, outcome-based results.

The way AI tools make it incredibly easy to generate scaffolding code, APIs, tests, and documentation in minutes creates a powerful sense of momentum.

Unchecked AI can mass-produce technical debt. So, while AI can generate code at extraordinary speed, it is essential that engineers continue to define what good looks like.

The newest evolution of AI needs to be carefully vetted before being unleashed in the real world, tech experts and execs say, including Genpact's own Jinsook Han.

Companies that survive the coming shakeout will be those willing to rebuild operations from the ground up rather than throwing AI into existing workflows.

In the autonomous enterprise, career opportunities expand for those willing to work confidently at the intersection of humans, AI, and enterprise-scale systems.

In a podcast, Genpact Chief Agentic AI Officer Jinsook Han explores how agentic AI demands a rethink of data, governance, roles, and even work itself. 

A new study from Genpact provides a reality check on the state of readiness for AI transformation among enterprises.

A January report by agentic solutions company Genpact found only 12% of enterprises are considered “AI leaders.”

According to Genpact CTIO Sanjeev Vohra, the alignment and integration of IT and business functions is greater than ever before, and it's happening faster.

As organizations rely more heavily on AI to automate workflows and make decisions, an AI BOM provides a necessary foundation for responsible, secure, and auditable AI operations.

Fortune asked more than a dozen CFOs of prominent companies: How do you think AI will continue to shape finance in 2026? Genpact CFO Mike Weiner weighs in.

Companies including Genpact are increasingly stepping up sustainability efforts, in line with India's pledge to reduce carbon emissions by the end of this decade as part of its larger commitment to eventually reach net zero.

Chief AI officers are increasingly common in today’s C-suites. But Genpact is taking things one step further with a “Global Agentic AI Officer.”

Genpact Chief Technology & Innovation Officer Sanjeev Vohra says CIOs who understand business value creation are best positioned to deliver IT work that supports the business.

Genpact Chief Strategy, Corporate Development & Global Agentic AI Officer Jinsook Han explains how governance and architecture in particular can be an accelerator of innovation in the age of agentic AI.

Genpact CHRO Piyush Mehta discusses how AI is embedded in HR through Genpact tools like HRpedia and Genome, making AI part of daily employee workflows.

Genpact Agentic Solutions and Platform Engineering Lead Aniruddha Ray explores how vibe-coding tools lay the groundwork for a hybrid future where developers and agentic systems work together to create a new generation of AI-human collaboration.

How do you get line of business executives thinking about the best way to manage AI agents in the processes and workflows for which they are responsible? Genpact Chief Agentic AI Officer Jinsook Han says a Pokémon analogy can help.

Genpact Chief Technology & Innovation Officer Sanjeev Vohra advises leaders to invest in the right partners, align resources early, and do due diligence to avoid IT pitfalls.

Genpact Chief Agentic AI Officer Jinsook Han speaks on Genpact's deployment of Agentic Life Cycle Development, a framework that tracks how AI agents are created, deployed, used and improved within orchestrated systems.

Genpact Chief Innovation & Technology Officer Sanjeev Vohra explores how governance builds trust, mitigates systemic risk, and accelerates adoption of agentic AI.

Genpact Global Growth Leader for Agentic AI Shubhro Pal explores how the industry-wide shift to agentic AI makes operational discipline more critical than ever, with Lean Six Sigma providing a methodology to embed process intelligence into an enterprise AI journey.

The Genpact AP Suite upgrade highlights Wesco’s broader digital transformation efforts, positioning the company to pursue greater operational efficiencies amid ongoing industry changes.

Genpact CFO Forum Lead Alfred Sanders, CPA, describes how accountants will fuel CFOs' navigation of the agentic future.

Genpact CFO Forum Lead Alfred Sanders, CPA, explores how firms will increasingly adopt agentic AI-augmented practices, where human teams and digital agents collaborate seamlessly.

Genpact Chief Technology & Innovation Officer Sanjeev Vohra on tech stacks evolving into modular architectures designed for scale with AI becoming the underlying linchpin powering enterprise systems.

“As insurers embrace AI to enhance operations or customer experience, they must ensure that every interaction—whether human-led or AI-powered – meets or exceeds customer expectations,” said Adil Ilyas, Global Business Leader for Insurance at Genpact.

AI isn't just upgrading business process management (BPM). It's demolishing the old playbook and writing a new one.

Genpact’s CEO shares why eliminating ‘process debt’ is critical as we move into an agentic AI world.

The question is no longer if AI has a role in insurance—but how boldly we can rethink claims processing to meet the demands of a changing world.

These upstart consulting firms are specialized and have an AI-first philosophy, helping them compete with established players.

Leading with, “There is no Artificial Intelligence without Process Intelligence,” Genpact CEO BK Kalra shares how AI with process expertise, data insights, and industry domain knowledge leads to real business outcomes.

Unlike its industry peers, Genpact, which has undergone a strategy reset under new leadership, has beefed up its mid and senior-level talent. It has hired over 100 executives in the past five months, Sanjeev Vohra tells Moneycontrol.

Over the past decade, two parallel journeys have emerged and shaped enterprise transformation in tandem: the process journey and the data journey.

The new model leverages agentic AI to deliver results, fundamentally changing how value is created and measured.

As the majority of organizations are now piloting or investing in AI use, the rising scarcity of AI talent is causing a deepening enterprise anxiety.

AI is reaching an inflection point, effectively rewriting the traditional CTO playbook that was built in the cloud and internet era.

According to NOAA, the US faced 27 natural disasters in 2024 alone, each causing over $1 billion in losses.

For Genpact, the story of AI isn’t one of disruption. It’s one of quiet, steady rewiring.