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AI & Agentic
Accelerating conversational AI for self-serve data
A major retail and commercial bank used NayaOne to build and refine a conversational AI system with a leading AI vendor, turning slow, technical data access into self-serve insight for every team.
95%
query accuracy
The challenge
Static reports and technical query requirements limited data access to a few specialists, excluding most employees from the insights they needed.
How it ran on NayaOne
1
Multi-LLM sandbox
Access to multiple large language models and cloud tooling to iterate without procurement delays.
2
Rapid PoC
Build and refine a conversational interface against realistic, governed data.
3
Validated for scale
Optimise performance and user interactions before enterprise rollout.
Outcomes
4 LLMs
evaluated within two weeks
5x
increase in concurrent query support
95%
query accuracy for team-specific questions