Enterprise AI buyers don’t need more claims. They need less risk.

Enterprise AI buyers rarely reject a product because they need “more features.” They reject it because too much of the buying risk is still theirs.

Before a serious buyer moves, four things usually need to be obvious:

1. What exactly changes in their workflow or system.
2. Which claims are evidenced vs. merely asserted.
3. Where failure, handoff, security, and operational risk sit.
4. Why the buyer should believe the promised outcome before committing budget.

That is the gap we test at SARATHI AI.

We run evidence-first Product & Revenue Intelligence Sprints: use the live product, verify public claims against first-party material, capture evidence, identify trust/onboarding/conversion blockers, and return a prioritized fix list.

A recent example is our Spout Finance beta intelligence review: https://github.com/ranvirjrj-beep/Sarathi-Website/blob/main/research/spout-finance-beta-intelligence.md

For a single AI/SaaS/fintech product, the sprint is fixed-scope and starts at $750. For deeper enterprise buyer-proof work, the engagement is $5,000.

50% upfront via Wise, balance on delivery.

If your product is technically strong but the buyer still has to do too much believing, email [e-mail] with: START — Product Truth Sprint.