An assistant trained on your content looks finished on launch day. Three months later the answers have started to wander, because the documents changed and nobody told the model.
Running AI well looks a lot like running any other system: you watch what it returns, you keep a set of questions it must always get right, and you tune it when it starts slipping.
Where the ongoing cost goes
Usage: every answer costs a fraction of a rupee, and that adds up with traffic. We estimate it before build and track it after.
Review: a small, regular sample of real conversations read by a person who knows the business.
Guardrails: rules that stop the assistant answering what it shouldn't, updated as new edge cases appear.
Facing this decision yourself? Bring it to a call — we'll tell you what we'd do.
