Assess
We diagnose where AI fits, what data exists, and where the ROI lives. Every engagement starts here so we never sell solutions in search of problems.
Two to three days on-site (or remote), a data maturity scorecard, a use-case prioritisation matrix, and a 12–18 month roadmap. You leave the assessment knowing exactly what to do next, even if you do not work with us further.
Pilot
Build a focused proof of value on a single real production problem. We pick the use case with the best ratio of effort-to-evidence, ship fast, and prove (or disprove) ROI before scope grows.
Four to eight weeks. One model, one process, one scoreboard. Success criteria signed off in writing before the first line of code.
Implement
Once the pilot proves value, we deploy at scale: integration with existing MES/ERP/QMS, data pipelines, training for operators, and human-in-the-loop checkpoints.
Three months on average for a contained scope. Includes documentation, monitoring dashboards, and a 90-day post-launch hand-holding period.
Optimize
Models drift, processes evolve. The retainer keeps your AI healthy: monthly health checks, quarterly retraining, priority support when things break.
Optional but recommended. Most clients move from a project to a retainer once they see the first compounding gains.
