Adding AI Without Losing Customer Trust | Devesh Tiwari
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Adding AI Without Losing Customer Trust

6 min read

How to ship copilots and intelligent search that feel helpful — grounded in your data, measurable in quality, and safe after you go live.

Adding AI Without Losing Customer Trust — product engineering insight by Devesh Tiwari

How do you ship AI features customers trust?

Ground responses in customer data, show citations, log failures, and provide human fallback when confidence is low.

RAG pipelines need evaluation sets from day one. I wire retrieval, prompt templates, and quality dashboards before marketing an AI feature.

What guardrails matter after launch?

Rate limits, PII filters, topic boundaries, and regression tests on every model or prompt change.

Agentic workflows need kill switches and audit trails. Trust compounds when users see consistent, verifiable answers.

Frequently asked questions

RAG or fine-tuning for a product copilot?

Start with RAG on your docs and tickets — it is faster to iterate and easier to cite. Fine-tune when style or domain language is the bottleneck.