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AI-Enabled Execution

I help engineering and operations leaders find one workflow bottleneck worth fixing, prove the smallest useful AI intervention, and turn it into measurable daily change.

This path is for leaders who want applied AI tied to measurable operating improvement, not demos that look impressive but never change daily work.

Built for

Engineering, product, and operations leaders who want practical AI leverage without losing operating discipline.

Core problem

AI experiments often stay disconnected from execution. Teams add tools, but bottlenecks, delivery risk, and repetitive workflow drag remain.

DORA + SPACE + DevEx

Operating signal model

Engineering Efficiency platform direction

Data readiness

Clarity baseline

First useful views depend on source access, cleanup, and signal quality.

Pilot window

Value realization

Focused pilots typically run in weeks once scope and data access are clear.

Ways to start

Choose the smallest useful entry point

Start with fit if the context is unclear, or use a paid session or sprint when you already have a concrete problem to work through.

AI execution pricing depends on source access, integration depth, and cleanup required before useful views or automation can ship.

1

AI Execution Fit Call

Check the use case, available data, workflow access, security constraints, and expected outcome.

Free

20-30 min

2

AI Working Session

Prioritize use cases, identify workflow leverage, and decide what is worth testing first.

From €750

90-120 min

3

Data / Workflow Diagnostic

Review signals, data readiness, workflow drag, adoption risks, and the baseline for a pilot.

From €4.5k

1-2 weeks

4

AI Pilot / Implementation Sprint

Build or integrate the first practical workflow once scope, access, and value hypothesis are clear.

From €18k

4-8 weeks

How the engagement works

The work stays narrow enough to move, but grounded enough to connect to the full operating system.

1

Instrument the signals

Connect delivery, quality, workflow, and team-health signals into one operating baseline.

2

Use AI for diagnosis

Surface bottlenecks, risks, false requirements, and high-impact improvement opportunities.

3

Automate after proof

Apply AI to proven review, triage, test, documentation, and release workflows after value is clear.

Best fit when...

  • You want practical AI tied to delivery outcomes.
  • You have real workflow data or can expose it safely.
  • You care about automation that changes operating rhythm.

Not the right fit when...

  • You want AI theater without process change.
  • Teams cannot safely share enough operational context.
  • Success is defined by tool adoption instead of outcome movement.

Ready to explore fit?

Schedule a focused call for this service path. We can confirm fit, choose the right entry point, and avoid turning the first conversation into unpaid diagnosis.