The 90-Day Plan For Moving AI From Pilot To Production

Most AI pilots stall because they were never designed as operations. A 90-day plan creates ownership, controls, integrations, and measurable output from the start.

The common pilot pattern is familiar. A team proves that a model can do something impressive. Then the work slows down as legal, security, IT, finance, and business owners each ask different questions. By the time the pilot is cleared, the team has lost momentum.

The fix is not a larger pilot. The fix is an implementation arc that treats AI as an operating capability from day one.

Days 1 To 15: Select One Workflow

Pick a workflow with recurring volume, clear inputs, clear outputs, and manageable risk. A first workflow should be useful enough to matter, but bounded enough to launch quickly.

• Weekly marketing performance reports.
• Finance reconciliation support.
• CRM cleanup and enrichment.
• Competitive research briefs.
• SEO and content update recommendations.

Days 16 To 30: Build The Control Model

Before the agent runs, define access, approval, retention, escalation, and quality standards. This is where most pilots skip ahead and create rework later.

A control model should answer who can upload files, which systems the agent can access, when a human must approve output, and what gets logged for review.

Days 31 To 60: Run In Parallel

The safest way to introduce AI operations is to run the new workflow beside the current process. The team compares cycle time, output quality, rejection rate, and follow-up work. This creates evidence instead of opinions.

A pilot proves that a model can work. A parallel run proves that the business can operate with it.

Days 61 To 90: Expand Or Stop

At this point the organization should have enough signal to make a clean decision. If output quality, cycle time, and cost are improving, expand the lane. If not, inspect the workflow definition before blaming the model.

1. Tighten the input requirements.
2. Improve the output standard.
3. Change the model route by task type.
4. Add or remove human approval points.
5. Connect the workflow to the system where the work should land.

What Success Looks Like

By day ninety, the company should have one workflow running under governance, a visible dashboard, a quality baseline, an approval model, and a list of the next two workflows worth deploying.