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Whitesoft

Delivery · AI Adoption & Optimisation

Launched is not the same as adopted.

A system that people route around delivers nothing. We treat adoption as an engineering and change problem with its own metrics, and we measure outcomes against the original business case so the organisation knows, honestly, what it got.

Improve an existing AI systemSee where this fits in our method

What you get

  • 01

    Adoption metrics and interventions that lift real usage

  • 02

    Outcome reporting against the business case

  • 03

    Quality and cost improvements from evaluation data and usage patterns

How we do it

The same discipline every time: understand the business, quantify, test, then commit.

Deliverables

  • Adoption dashboard and intervention plan
  • Outcome reports against the business case
  • Optimisation backlog and releases
  • Quarterly model and cost review

  1. Workflow integration and change

    We adjust where and how the AI appears in the workflow, train and support the people using it, and remove the friction that causes workarounds.

  2. Outcome measurement

    The metrics agreed in the business case are instrumented and reported, with variance explained rather than hidden.

  3. Continuous optimisation

    Evaluation results, user feedback and cost data drive prompt, retrieval, model and process improvements on a regular cadence.

  4. Model and cost management

    As models and prices change, we re-test alternatives and move workloads where a cheaper or better option meets the quality bar.

Questions we are often asked

Can you take over an AI system another vendor built?

Yes. We start with an evaluation of quality, cost, security and code health, then agree an improvement plan.

Related

Use cases this service supports

Improve an existing AI system.

A short conversation is enough to tell whether this is the right starting point for you.

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