Agentic AI in BFSI: Turning Vision into Value (Tenity)

Summary

• BFSI innovation spend per $1B of assets rose from $200K to $780K (2022–24), but ROI still lags.p.2
• Around 70% of institutions are now using GenAI to improve internal productivity, automate document handling and support compliance and customer service.p.4
• 37% of VC in 2024 targeted AI, with agentic seeing the largest deal growth in financial services.p.4
• Only 23% of institutions report board-level oversight of AI strategy, and governance is consistently cited as the top barrier to AI scaling.p.9
• Adoption of agentic systems typically begins in high-volume, rules-based, low-risk workflows such as fraud checks and claims triage.p.6

Key insights

1. Banks' tech spend exceeds 10% of revenue and is rising 9% yearly, outpacing inflation.p.2
2. Innovation efforts are now evaluated on measurable business results rather than pilot count.p.3
3. Agentic AI is built for delegation, with autonomous agents that set goals, execute multi-step workflows and interface with APIs and human stakeholders.p.4
4. Projected ROI of agentic AI is more than 100% on average, 171% on average, and 192% for US firms.p.4
5. Early use cases include fraud checks, claims triage, investment memo generation and regulatory report drafting.p.6
6. Higher-stakes domains such as credit decisioning may carry additional regulatory requirements, for example under the EU AI Act.p.6
7. Most AI efforts stall at the pilot phase.p.9
8. Tenity's framework moves institutions from exploration to application to execution.p.10
9. Tenity has partnered with 65+ leading institutions, supported 1,600+ startups and runs programs in over 15 countries.p.18