From AI agent pilot to production: a 90-day RevOps rollout plan

An AI agent pilot proves that a capability can work on selected examples. Production proves that a named workflow can run repeatedly against changing records, under real permissions, with measurable quality, human decisions and a recovery path.

The 90-day objective is not broad deployment. It is one production RevPlay: a bounded GTM motion that agents help carry consistently while people retain policy, judgment and approvals. RevTech runs the agents; the customer governs the work.

Why pilots stall

Pilots often optimize for possibility: broad prompts, friendly data and manual rescue by the project team. Production needs a narrower contract. Inputs, permissions, expected output, reviewer, prohibited actions, service expectations and success measures must survive ordinary records and bad days.

• The pilot demonstrates output quality but never names a business owner or daily operator.
• The workflow depends on undocumented definitions or manually assembled context.
• Reviewers cannot see the evidence needed to approve or reject the work.
• Exceptions are handled in project chat rather than a designed queue.
• Success is measured by activity or enthusiasm instead of accepted work and business movement.

Choose one RevPlay with a reviewable last mile

The first workflow should occur often enough to learn, use a bounded population, end in an output a named person can inspect and avoid irreversible action. Pipeline inspection, CRM correction proposals, meeting preparation and handoff readiness are often stronger first candidates than autonomous customer communication.

• A stable trigger starts the work.
• Approved inputs and business definitions can be named.
• The agent produces one observable work product.
• A single accountable role can approve, edit or reject it.
• The action is reversible or remains behind a human gate.
• Quality and business movement can be compared with a baseline.

The 90-day rollout roadmap

Each phase earns the next one. Calendar progress does not override a failed gate.

RACI for the first production workflow

Roles vary by company, but responsibility cannot remain implicit.

Go/no-go gates before production

A go decision is specific to one workflow version, data scope and permission set. Re-run the gate when any of those materially changes.

• The workflow contract and accountable owners are signed off.
• Required context resolves and stale or missing inputs trigger a safe response.
• Permissions have been tested for allowed and prohibited actions.
• The evaluation set covers normal, edge and failure cases.
• Reviewers can see evidence and act within the expected time.
• Volume limits, pause control and escalation are live.
• Recovery has been rehearsed and prior state can be identified.
• Quality and business measures have owners and a review cadence.

Rehearse exceptions before they arrive

Run tabletop tests in shadow mode, then verify the same controls in the production path.

The production KPI scorecard

Measure the chain from eligible work to trustworthy completion and business movement.