The most important technology decisions shaping Indian enterprise are not being made in vendor boardrooms or at public conferences. They are being made in closed, candid conversations between India's most senior technology leaders, people who have the scar tissue of large-scale transformation, the credibility to challenge conventional wisdom, and the influence to move organisations.

The CXO leaders council technology forum is where those conversations happen.

What is the CXO Leaders Council Technology Forum?

The CXO Leaders Council is India's premier peer network for enterprise technology leadership. It brings together Chief Executive Officers, Chief Information Officers, Chief Digital Officers, and Chief Technology Officers from India's largest and most innovative organisations.

The council is not a talking shop. It is a working group, structured around specific technology challenges, with a mandate to produce actionable recommendations that members can take back to their organisations and implement immediately.

The council operates on three principles: peer-first (insights come from practitioners, not vendors), India-first (all recommendations are contextualised for the Indian enterprise environment), and action-first (every session produces something members can use right away).

The Enterprise AI Advisory India Agenda

Artificial intelligence sits at the centre of the council's 2026 agenda and for good reason. IBM's Global AI Adoption Index confirms that India surpasses the global average in enterprise AI adoption, with 59% of large Indian organisations actively deploying AI and 74% having accelerated investment in the past two years. The council provides the peer forum that translates this momentum into structured, board-ready strategy. [1]

The enterprise AI advisory conversations within the council have produced some of the most practically useful insights available to Indian enterprise leaders. Unlike vendor-produced thought leadership or academic research, council insights come from people deploying AI at scale in real Indian enterprises, with real constraints and real budgets.

Key themes from the 2026 AI agenda: how to build internal AI capability without over-dependence on external vendors; how to communicate AI strategy to boards that are simultaneously excited and fearful; and how to build an AI-ready culture in organisations where most employees have never worked with intelligent systems.

Cloud AI Strategy for Enterprises: What the Council Recommends

One of the council's most substantive working groups has focused on cloud AI strategy for enterprises, specifically, how Indian organisations should decide which AI workloads to run where, and how to build the cloud infrastructure needed to support enterprise-scale AI.

The council's emerging consensus challenges some widely-held assumptions. Many enterprise leaders entered 2026 assuming they needed large, centralised AI infrastructure. The council's experience-sharing has revealed a different picture: the most successful enterprise AI deployments use a hybrid approach, leveraging cloud AI services for scale and flexibility, while maintaining on-premise infrastructure for sensitive data and compliance-critical workloads.

BFSI Digital Transformation AI: A Council Priority

The BFSI sector commands a disproportionate share of the council's attention, and India's AI opportunity. NASSCOM research shows that BFSI, along with CPG & Retail, Healthcare, and Industrials, is expected to contribute 60% of the net new AI-driven value add of $500 billion by FY2026 in India. [3]

BFSI digital transformation AI is a dedicated workstream within the council, bringing together CIOs and CDOs from India's leading banks, insurance companies, and financial services firms to share experience and develop shared frameworks.

The council's BFSI group has identified three AI use cases delivering the highest ROI in the Indian context: credit underwriting (where AI is reducing decision time from days to minutes while improving accuracy), fraud detection (where AI is catching patterns that rule-based systems miss), and customer personalisation (where AI is driving significant improvements in cross-sell and retention metrics).

How to Implement AI in Business India: Council Principles

McKinsey's research is clear that the gap between AI deployment and enterprise-wide impact is the critical challenge. Only 39% of organisations using AI report EBIT impact at the enterprise level. The council's principles are designed to close that gap, based on the lived experience of members who have led both successful and unsuccessful programmes. [2]

Principle 1: Start With the Problem, Not the Technology

The most common reason AI programmes fail is that they are technology-led rather than problem-led. Define the business problem first. Then find the AI approach that solves it.

Principle 2: Data is the Foundation

Every council member with successful AI deployments at scale says the same thing: data quality, data governance, and data infrastructure are more important than the AI tools themselves.

Principle 3: Change Management is Half the Work

AI changes how people work. Organisations that invest as much in change management as in technology consistently outperform those that treat AI as a pure technology project.

Principle 4: Governance from Day One

Build your AI ethics and governance framework before you deploy, not after a problem forces you to. Gartner research shows that organisations with structured AI governance are 3.4x more likely to achieve high AI effectiveness than those without. Retrofitting governance is far more expensive than building it in from the start. [4]

How to Join the CXO Leaders Council

The CXO Leaders Council technology forum is open to senior enterprise technology leaders from organisations with significant technology investment and transformation ambition. Membership is by application and reviewed by the council's editorial board.

Council members receive access to exclusive research, roundtable invitations, peer networking opportunities, and early access to CXOTechBot's AI research reports and editorial content.

If you are a senior enterprise technology leader in India and want to be part of these conversations, visit CXOTechBot to learn more about council membership and the 2026 agenda.