How long should an agent run internally first?

There is no number worth copying. Snyk's ran about a year, and the value came from what that year produced: every internal trace fed the evaluation sets. An agent can run inside for a long time and produce no tests. Mine produced two HR incidents.

What is the most commonly missed change at promotion?

Permissions. Internal staff can usually see across accounts. A customer must see only their own data. Snyk attaches tools at request time based on what the signed-in user is allowed to see, so the agent cannot reach what the user could not.

What results did Snyk report?

Since April 2026: 60,000+ queries handled, 500+ customer accounts, 85%+ of sessions resolved without a support ticket, and 250+ cases auto-detected and escalated. I would read the 85% next to a stricter measure, because no ticket is not always a resolution.

What if the internal agent passes only part of the gate?

Keep it internal. An internal tool people like is a fine outcome. Shipping it because it already works is promotion by inertia, and that is how a prototype becomes an incident.

When Is an Internal AI Agent Ready for Customers?

When is an internal AI agent ready for customers?

THE SHORT ANSWER

When it passes a written promotion gate, not after a set amount of internal use. Snyk's October 2026 case study on the LangChain blog is a good model. Snyk Assist ran for roughly a year inside the support team, reached customers in the support portal in April 2026, and went to every paying customer on September 1. The gate had four parts: prove the agent answers correctly, refuses what it should, and never returns anything the user was not already allowed to see; attach tools per request from the signed-in user's permissions; run the real agent against eval suites on every pull request and block on thresholds committed to the repo; and turn internal traces into the eval sets. Two things change at promotion besides the surface. The reader changes, from a support rep who discards a wrong answer to a customer who acts on it. And the count changes, since a session without a ticket can be a customer who gave up. Internal time alone proves little: my internal docs agent answered from a 2021 page and a 2024 page with equal weight, and two HR incidents traced back to it.

The request usually arrives as a compliment. The support team loves the agent, so why not give it to customers. The answer isn't how long it has been running.

What an internal year gives you is a reader who catches the agent's mistakes for free. That reader disappears on the day of promotion, so the catching has to move into tests, permissions, and a check that can fail a merge.

Snyk's phases, the four parts of the gate, and where it meets my rule about internal tools are in Snyk Ran Its Agent Inside for a Year. Copy the Gate. The measurement side is in One Support Agent, Three Resolution Rates.

Last reviewed 2026-10-10 · 1 min read

When is an internal AI agent ready for customers?

SOURCES

THE LONG VERSION

RELATED ANSWERS