What a 90-day AI implementation actually delivers

The sequence, phase by phase

These phases form a scoped delivery plan, with indicative timing that depends on the workflow, access, testing and agreed decisions.

1. Discovery, roughly weeks 1–2: map the current tools, inputs and handoffs with the people doing the work. We agree the workflow, owner and success measure before the build starts.
2. Scope and sign-off, weeks 2–3: write down the workflow, tools, data, deliverables and named approval checkpoints, then agree the starting scope.
3. Build, weeks 3–7: connect the tools, build the agents and apply the agreed access and security controls.
4. Test with real cases, weeks 7–9: review ordinary requests, missing information and failures together. Make uncertainty visible and route it to the responsible person.
5. Deploy to your cloud, weeks 8–10: verify the deployment, job-specific access, data handling and operating controls against the agreed launch criteria.
6. Train and adopt, weeks 9–12: practise the daily routine with the team, name the owner and escalation path, and support the handover.
7. Handover and beyond: agree ongoing support and run quarterly AI training so the team keeps using the system as the work changes.

Who is responsible for what

Delivery is a shared effort. We bring the integrations, agents, agreed controls, tests and team training. You name the workflow owner and approvers, arrange scoped access, supply representative cases and make time for review and training. An available owner, launch support and practice with daily work are part of the delivery plan.

Access and decisions that keep the phases moving

Agree the required tools and data access, an available owner, representative test cases, review time and the decisions needed at each checkpoint. These dependencies set the practical schedule. If access, scope or a decision changes, we review the effect with you and update the plan. The 90-day timeline applies to the agreed scope and dependencies.

• Access to the tools and data used by the workflow.
• Named owners and the appropriate approvers.
• Ordinary and exceptional cases drawn from actual work.
• Time for the team to review outputs, correct cases and practise.
• Agreed decisions at scope, test, deployment and handover checkpoints.

Acceptance checkpoints

Each phase gives the owner something specific to review. Routine work stays within agreed permissions; consequential decisions use the named checkpoints.

• Workflow, owner and success measure agreed before build.
• Written deliverables and approval boundaries accepted.
• Test cases reviewed, including missing data and failure handling.
• Job-specific access and data handling checked.
• Deployment verified in the customer’s cloud.
• Launch training, operating notes and escalation path handed over.

What live means for the team

Adoption is part of delivery. The team learns to review outputs, correct the routine and escalate uncertain cases. Written operating notes and a named owner support daily use, with quarterly AI training to build confidence as tools and business needs change.

Measure the agreed workflow before and after

Record the starting volume, effort, correction rate and end-to-end time. After launch, measure the same workflow at a comparable volume, including human review and exceptions. This makes the change visible to the owner and gives the team a basis for deciding what to improve next.

Frequently asked questions