Genpact: Scaling Agentic AI: The Four Decisions Driving Autonomous Execution
Genpact — 2026 — Digital Transformation
The research highlights the significant gap between the ambition for agentic AI and the organizational readiness for its deployment. It identifies trust, accountability, measurement, and process design as critical leadership decisions that influence the scalability of autonomous systems. Despite the potential of agentic AI to transform enterprise operations, many organizations remain hesitant to grant full autonomy due to concerns over accountability and measurable value.
Key Statistics
- 92% of senior executives anticipate agentic AI will fundamentally change how work is executed
- 71% of senior executives believe agentic AI will deliver ROI faster than previous technology waves
- 53% of senior executives report lacking accurate KPIs for autonomous systems
- 38% increase in agentic AI budgets is expected over the next 12 months
Key Takeaways
- Define accountability upfront to clarify ownership and responsibility for agentic systems.
- Establish agent-native metrics that measure autonomous execution rather than traditional productivity.
- Invest in new skill sets focused on AI governance, data engineering, and workflow orchestration.
- Redesign workflows to eliminate manual handoffs and clarify decision ownership for autonomous systems.
- Form an AI Governance Council to oversee the deployment and management of agentic AI initiatives.
Cite as: Genpact. (2026). Genpact: Scaling Agentic AI: The Four Decisions Driving Autonomous Execution. Retrieved from https://research.agilebrandguide.com/research/genpact-scaling-agentic-ai-the-four-decisions-driving-autonomous-execution