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Add-on to the strategy

Use case sprint

One use case ready for a business case and data readiness in two weeks. The sprint ends with go, adjust or stop. A stop is also a good outcome.

Duration

2 weeks

Pricing model

Add-on or standalone

You end up with

A use case card, a data check and a decision paper: go, adjust or stop.

For you if you

Have a promising idea but no numbers behind it. Need to assess a vendor demo. Do not know whether the data is good enough. Or have a pilot running without anyone having defined success.

Price and payment

One use case in 2 weeks, three use cases in 4 weeks, or a sprint on 2-3 lighthouses in the strategy's Prioritise phase. The sprint needs a benefit owner, two or three subject experts, a data owner and a controller.

What it includes

01Five workshops; the business spends about 10 hours
02Before/after workflow with a human in the loop
03Choice of solution type: agent, automation, assistant or predictive model
04Data check: does the data exist, is it good enough, and may it be used?
05Business case built with controlling and a benefit owner
06Decision paper for leadership

Why a sprint

A sharp problem

We start in the workflow and the problem that costs something, not in the technology.

Data first

The data check shows whether data exists, is good enough and may be used before anything is built.

Numbers on the table

The business case is built with controlling and a benefit owner who stands behind it.

A decision

Over 40% of agent projects are expected to be cancelled by the end of 2027. The sprint clarifies ideas early.

Which solution type fits?

Three questions decide the type. The simplest solution that works wins.

Predictive modelDoes a number or category need to be predicted from history? E.g. demand forecasting and quality inspection.
AutomationIs the task rule-based and the same every time? E.g. workflow, integration or robotic process automation (RPA).
AssistantHelps an employee without acting in systems itself. E.g. Copilot or chat with a knowledge base.
AgentActs in systems on its own within fixed limits. Requires the seven controls from AI governance.

Six steps in two weeks

From problem to decision, with the business in the room all the way. We do the data check, analysis and business case between workshops.

Day 11. Problem and goalToday's workflow, pain points and the goalGoal and benefit owner
Day 2-32. New workflowWhat the work looks like with AI, and where the human is involvedBefore/after flow
Day 33. Solution typeAgent, automation, assistant or predictive modelChosen solution type
Day 4-64. Data checkDoes the data exist, is it good enough, and may it be used?Data readiness
Day 6-85. Business caseBenefit, cost, risk and sensitivity, built with controllingBusiness case
Day 9-106. DecisionPaper for leadership: go, adjust or stopDecision paper

How we can work together

One use case

Use case sprint

2 weeks

Five workshops, data check and business case, and a decision paper.

Outcome: A clear decision on one use case

Three use cases

Sprint for three cases

4 weeks

Shared workshops where it makes sense, three data checks and business cases and a prioritised order.

Outcome: The three best candidates compared

In the strategy

The lighthouses made ready

In the Prioritise phase

Sprint on the 2-3 lighthouses, business cases into the roadmap and ready to start after the strategy.

Outcome: The strategy ends with cases that can start

Read more

ApproachFive parts the CFO can approveExampleSee an example of a data and AI strategy →
← Previous add-onAI governance and the AI ActNext add-on →AI literacy programme

Facing a decision on digital, data and AI?

A new CIO, a new group strategy, an ERP change, many pilots and few in production, or a board asking about AI. Call when the decision is approaching.

Book an introductory meeting