- 01
Unclutter
Understand the work before choosing the tools.
We map the current workflow, existing tools, data sources, and bottlenecks. You get a shared view of the problem and the systems involved.
- 02
Prioritize
Choose a problem worth solving.
We weigh impact against feasibility, cost, risk, and data readiness. You get a scoped pilot, baseline, and success criteria.
- 03
Build
Make a useful system work.
We configure or build, connect the agreed systems, and test against representative examples. People retain the approvals and exceptions that matter.
- 04
Prove
Measure what actually changes.
We compare cycle time, effort, output quality, and operating cost with the starting point. Capacity released and cash savings are reported separately.
- 05
Scale
Expand what earns its place.
We document ownership, train users, monitor quality, and improve the system. Expansion follows measured performance and a clear operating plan.
What a 90-day delivery plan can look like
An illustrative plan for a scoped AI system, including assessment and handover. Focused automation sprints typically take 2–4 weeks; larger implementations depend on data, access, and integration complexity.
- WEEKS 01–02
Frame the opportunity
Agree on the business problem, data readiness, baseline, budget, and what a useful result looks like.
- WEEKS 03–05
Prove a focused slice
Test a narrow workflow on representative data. Review quality and economics with the people who do the work.
- WEEKS 06–10
Build for daily use
Connect the systems. Add permissions, monitoring, fallbacks, human approvals, and cost controls.
- WEEKS 11–13
Hand over with confidence
Train the team, document the runbook, and review the scorecard. Set ownership and the next priorities.