What happened
Tech Mahindra President Kunal Purohit, at Techspectations 2026, stated AI transforms coders into "orchestrators," moving from co-creation to full orchestration. Purohit reported Tech Mahindra employs 30,000 staff with nearly 1,000 AI agents, claiming a 60-70% increase in production and turnaround times through "FAAFO" (Fast, Ambitious, Autonomous, Fun, Optionality) development. He identified five enterprise adoption challenges: grounding AI to context, ensuring deterministic outcomes, managing security risks, maintaining data quality, and internal change management.
Why it matters
Enterprise AI adoption faces significant barriers despite reported productivity gains. Security architects must address AI agents' potential for data exfiltration, while platform engineers require deterministic AI outcomes for reliable system integration. Procurement teams evaluating AI solutions need to prioritise reliable data quality frameworks and clear mechanisms for grounding AI to specific business contexts. This necessitates sustained internal change management to integrate autonomous agents effectively.
