Building Trusted AI Products and Organizations
A field guide for the product leaders, founders, and go-to-market teams who have to get AI bought, adopted, and renewed inside the enterprise, especially in regulated industries where trust is the product.
By Arvita Tripati and Kimberly Bloomston
The argument
Most enterprise AI pilots fail, not because the model is wrong, but because the team shipped without the artifacts a buyer needs to trust it in production. The distance between a working pilot and a signed contract is trust debt, and it compounds quietly until the deal stalls.
Built to Survive names that debt, shows the forms it takes, and gives product leaders the frameworks to pay it down before it ends the deal.
Frameworks built from launching 30+ regulated, AI-enabled products and selling them into the enterprise.
The gap between a pilot that works and a contract that closes. The book names it, shows where it hides, and explains why it compounds the longer you ignore it.
Five kinds of trust debt, observability, interruption, explanation, accountability, and drift, mapped against how much autonomy your system has. Every empty cell is debt a buyer will find.
Bold Innovator, Disciplined Integrator, Fast Follower, Strategic Builder. Each one buys differently. Run the wrong motion and you lose the deal before it reaches procurement.
What changes when the human stops reviewing outputs and starts setting missions for agentic systems, and the new artifacts buyers are beginning to demand.
Why deals die at the finance review, and the one-page P&L view that gets your product approved instead of deferred to next quarter.
Why a sincere champion inside an unready organization still fails, and how to diagnose it before the pilot starts.
The book is expected in fall 2026. Get launch updates, early excerpts, and the frameworks as they are released.
Or write directly: arvita@vahanalabs.ai