Study
Validate workflow, data, infrastructure, baseline, and success gates.
Transformation
Make the top use cases prove their value.
The decision
Which initiatives work with this data and infrastructure, with enough benefit to justify production investment?
Technical and operating assessment
Few companies have the baseline to value AI up front.
Time studies, workflow maps, and SOPs are usually missing. We do as much of that analysis as the data allows on the three to five initiatives with the strongest value case, then stage the investment: each stage has to move the KPIs you run the business on before the next is funded, and nothing reaches production until it does.
- 01
Baseline
Fix the value measure before the test: cycle time, labor, error, throughput, conversion, or cost.
- 02
Technical study
Data availability, quality, architecture, integrations, security, and production constraints.
- 03
Proof
A working POC on representative work, evaluated against the agreed gates.
- 04
Scale case
Production architecture, operating change, cost, adoption, ownership, and rollout.
Gate: capital for the next stage is released only when this one moves the agreed KPIs.
The decision
A POC ends in a production plan or a decision to stop.
We do not scale a demo that misses the baseline or cannot run in the company’s environment.
- BuildThe result clears the gate and the production case is sound.
- BuyAn existing product wins on economics, fit, and time to value.
- PartnerA specialist capability is required without becoming a permanent dependency.
- StopThe result, data, adoption burden, or economics do not justify further capital.
EngagementWEEKS 1–3 WEEKS 4–10 THEN
Each initiative is measured against its baseline.
Prove
Build working POCs and evaluate technical and operating performance.
Decide
Move warranted initiatives into production, or stop further investment.
From POC to production
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