Engagement · 03

Debottleneck + Optimisation.

Closing the loop between data, decision, and action, for one specific bottleneck or operational constraint.

Duration: 12–16 weeks
Format: Fixed + performance
Output: Closed-loop deployment

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What's included

The deliverables.

Data integration. Bringing operational data together where it needs to be for the use case at hand. OT/IT-aware. Not a greenfield rebuild.
Predictive or prescriptive model. Built on real data, validated against domain logic, deployed against decisions that already exist in someone's daily work.
Advisory prompts. Recommendations delivered into operator workflows, not into a separate dashboard nobody opens. Embedded where the decision happens.
Workflow automation. Closed-loop execution: task triggering, exception handling, escalation, audit trail. The reason the model lift sticks instead of fading.
Impact verification. Baseline-to-result measurement, with an audit trail. The performance component, if used, is settled against this number.

Sample timeline. Week by week.

Indicative. Adjusted to your specific operation, data maturity, and existing programs.

Week 1–2

Constraint deep-dive. Data assessment. Architecture decisions.

Week 3–6

Data integration. Model development. Initial validation against historical data.

Week 7–10

Pilot deployment. Operator workflow integration. User testing and hardening.

Week 11–13

Production rollout. Closed-loop activation. First impact measurements.

Week 14–16

Verification. Routine integration. Hand-over.

Who this is for

Operations with a specific, named bottleneck and budget to address it. Operators ready to move past dashboards into automated decision support. Programs with successful diagnostic phases ready for thin-slice deployment.

What you walk away with

A working closed-loop for the chosen bottleneck.
Verified baseline-to-result impact measurement.
Operating routines that sustain the gain.
A reusable template for the next bottleneck.

Have a different problem? Talk to us.

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