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AI & Agentic
Automating workflows with no-code AI agents
A bank tested a leading low-code platform under realistic enterprise conditions in NayaOne’s sandbox, proving agentic workflows feasible while surfacing governance and integration risks early.
4 weeks
to working agents
The challenge
The institution wanted no-code AI agents to speed workflow automation, but compliance, security and integration risks were slowing adoption.
How it ran on NayaOne
1
Realistic conditions
End-to-end workflows built with synthetic data and simulated APIs.
2
Measured what matters
Build time, governance setup and integration fidelity all tracked.
3
Risk surfaced early
Governance gaps identified before any move toward production.
Outcomes
4 weeks
to deliver working workflows
Feasible
agentic workflows proven
Early
visibility of adoption risks