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AI Service

AI Optimisation & Scaling

For organisations that have deployed AI and need to improve accuracy, expand coverage or scale across departments. I direct the strategy and hold the vendors accountable.

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The challenge

The first deployment is the start, not the finish. Models drift, new use cases emerge, and without deliberate optimisation the early win quietly plateaus while more disciplined competitors keep scaling.

Why it matters

Why the first deployment is the start, not the finish

Shipping one AI use case is the beginning of the value, not the end of the work. Models drift, new use cases emerge, and without deliberate optimisation the early win quietly plateaus while more disciplined competitors keep compounding theirs.

Ongoing optimisation and scaling turns a single success into a programme: retrained models, new high-value use cases, and what works extended across departments — with senior direction holding vendors and teams accountable to outcomes.

Signs this is for you
  • You have AI in production and want it to keep improving
  • Early results have plateaued and need fresh momentum
  • You want to extend a working use case across the organisation
  • You need senior oversight of vendors and data-science teams
How I approach it

A clear path to a usable result

01
Audit what is live

I review your production AI — performance, drift, adoption and the value it is actually delivering versus its potential.

02
Optimise and retrain

Models are retrained and tuned, and the highest-value next use cases are identified and prioritised.

03
Scale across the org

A plan to extend what works into new departments and workflows, with the cadence to keep improving.

What's included

What you get

Monthly AI performance review and KPI trackingUse case expansion planning and prioritisationVendor and data science team oversight and directionScaling strategy across departments and geographiesROI tracking and executive reporting on AI value deliveryRecommendations for model improvement and retraining cycles
Indicative price
$10,000 – $15,000 / month
Typical timeline
Ongoing
Engagement
Optimisation retainer
Ideal forCompanies with live AI systems that need strategic oversight to continuously improve outcomes.
Proven outcomes

What this delivers

Grounded in signed-off results from comparable engagements.

Compounding
Value, not plateau
Less drift
Maintained accuracy
Scaled
Across departments
Frequently asked
When is the right time for optimisation and scaling?+
Once you have at least one AI use case in production. That is when drift, new opportunities and scaling questions appear — and when ongoing optimisation turns a single win into a compounding programme.
Do you optimise systems you did not build?+
Yes. I work with your existing production AI regardless of who built it — the audit establishes what is there and where the value is being left on the table.
Related AI services
AI Champions Programme →AI Governance-as-a-Service →

Turn one AI win into many

If your AI has plateaued after launch, let’s optimise it and scale what works.

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