Solution: Pilot to Production

The bottleneck moved from speed to control.

Your teams are already building with AI. Xano makes the pilot and the production system the same governed artifact, on the same platform.

Everyone is building. Almost nothing ships.

95%

of enterprise gen-AI pilots deliver zero measurable impact (MIT).

Workflow gap

MIT's diagnosis. The models work. The path to production doesn't.

The hard part

The prototype was easy. Production is where pilots go to die.

Guardrails, not gatekeeping.

Every project governed before the first prompt, instead of reviewed after the last one.

Pilot to production is the enterprise AI SDLC.

Agents write more of the code every quarter. No one reads all of it later. So the lifecycle that matters runs left to right, and one artifact travels the whole way:

We experimented with AI builders which were great for a hackathon, but our business users were unable to move it into something usable. We're looking for anything to help us have consistency along the innovation lifecycle, from ideation to prototype, MVP, and production.

- Chief Information Officer, BNP Paribas

Set the policy once. Everything inherits it.

Set the rules

IT writes the policy

Every project in the workspace inherits it — and what security sets stays set.

Everyone builds

In their own tools

Developers bring Claude Code, Codex, or Cursor; business users bring a Bolt front end. Xano hands every agent the same policy, docs and skills — the prompt never mentions PII rules, and the app inherits them anyway.

Review each build

Nothing touches production

Every build runs in an ephemeral sandbox until IT says otherwise.

Promote what passes

Review is a real check

The release IT reviews is the release that runs. Promote the exact artifact.

A harness your organization owns.

Most AI harnesses today are one developer's markdown files, and no two are alike. This one is organizational: auth is done this way, every time, checked again at promotion. Regulated? HIPAA, SOC 2 and your audit rules live in the same policy layer, enforced per environment and per tenant.

Bring the stack you have.

Postgres included, Snowflake and your services connected, any major cloud or on-prem, under your certifications. Host your static front end on Xano or connect one built anywhere.

Let them build. Ship what matters.

You never know which experiment will matter. The harness exists so the one that does can reach production without a rewrite.

AI builds software. Xano makes it trustworthy.

Every enterprise is working out what AI governance looks like and who owns it. Start with a conversation.