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Service / 01 Advise

Use-case Discovery & ROI

Turn a long list of AI ideas into a few business cases you can defend, with baselines and success measures.

/ 01The business problem

Why this matters

AI business cases often fail because the baseline was never measured. Teams estimate time saved without knowing how long the work takes today, ignore the cost of review and exceptions, and forget running costs such as model usage and support.

Discovery fixes that by mapping the real process, measuring it and modelling the AI-assisted version honestly, including the parts that still need people.

Who it is for

  • Business owners preparing an investment case
  • Finance partners who need defensible assumptions
  • Product teams choosing between candidate use cases

/ 02Scope

What the engagement covers

  • 01Process mapping with the people doing the work
  • 02Baseline measurement of volume, effort, errors and cycle time
  • 03Data availability and quality check
  • 04AI-assisted process design including exceptions and review
  • 05Cost model covering build, run and support
  • 06Success metrics and measurement plan

/ 03Technical approach

How we work on it

Measure the baseline

We sample real cases and time the work, so savings are calculated from facts.

Model the whole process

The future state includes review effort, exception handling and failure modes, not only the happy path.

Agree the scorecard

Before anything is built, sponsors sign off the metrics that will decide whether the initiative continues.

/ 04Process

From first call to production

  1. 1

    Consultation

    A focused conversation about the problem, constraints and what success would mean.

  2. 2

    Discovery

    Evidence gathering: data samples, process walkthroughs and a measured baseline.

  3. 3

    Proposal

    Scope, approach, team, timeline, risks and a fixed or estimated price.

  4. 4

    Delivery

    Iterative sprints with demos and evaluation results at each milestone.

  5. 5

    Handover or run

    Documentation, runbooks and training, or ongoing operation by our team.

/ 05Deliverables

What you receive

  • Current-state process maps
  • Baseline metrics report
  • Future-state design
  • ROI and total cost of ownership model with sensitivity analysis
  • Success scorecard
  • Go or no-go recommendation

Engagement options

Fixed-scope sprint

Two to six weeks with a defined deliverable and price, suitable for discovery, assessments and prototypes.

Portfolio discovery

Several candidate use cases assessed in parallel and ranked with a common method.

/ 06FAQ

Common questions

What if the numbers do not justify AI?

Then we say so. A no-go decision based on evidence is a good outcome, and simpler automation is sometimes the better answer.

Do you need access to production data?

A representative sample is usually enough, handled under an agreed data protection arrangement.

Talk to an engineer about use-case discovery & roi

Bring the problem and any constraints. You will leave the conversation with an honest view of the options, even if the answer is not us.