What Makes Agentic AI Work for Financial Services?
In this awards interview, Ashutosh Singh discusses agentic AI for financial services: reasoning with evidence, working within policies and keeping human decision-makers in control.
Agentic AI with accountability built in
At the second edition of the ET Enterprise AI Awards 2026, Novel Patterns was recognised as Best Agentic AI Application. In this exclusive interview from the awards, Ashutosh Singh explains the thinking behind its approach to agentic AI for financial services.
Watch the awards interview
Ashutosh discusses systems that can reason with financial evidence, operate within defined policies, explain their recommendations and maintain a traceable audit trail. These capabilities help frame the conversation around institutional accountability as well as automation.
The interview also explores how DecisionOS brings financial intelligence, policy, reasoning and workflow orchestration together across the lending lifecycle, while keeping human decision-makers in control.
In this conversation
- Reasoning with financial evidence rather than acting without context.
- Working within defined policies and institutional controls.
- Explaining recommendations and retaining a traceable audit trail.
- Connecting financial intelligence and workflow orchestration through DecisionOS.
- Increasing decision-making capacity while maintaining human oversight.
Featuring
Ashutosh Singh, Novel Patterns.
For financial institutions, the opportunity is to increase decision-making capacity without compromising accountability and institutional control.
Let's Start a Conversation
Tell us about your institution and what you're looking to achieve. Our fintech specialists will get back to you promptly.