Workflows where AI is already saving time or improving judgement.
// whats_already_happening
AI is already inside your business. It didn't ask permission.
Staff are experimenting quietly. Teams are blocked by policy. Licence spend isn't changing how work gets done. The Readiness Sprint maps all of it in one week: signal, risk, noise, and the next decision.
- 1 week
- Time-boxed assessment
- 3 levels
- Snapshot, Diagnostic, Advisory
- 1 map
- Signal, risk, noise and next action
where AI touches work
Data exposure, weak ownership, poor review or unclear permission.
Tool-chasing, theatre and ideas that should be parked.
// the_map
Most organisations do not need more AI noise. They need a map.
Leaders are being asked to decide while the tools, risks and expectations keep moving. The sprint turns that uncertainty into one decision view:
workflows where AI is already saving time or improving judgement.
data exposure, weak ownership, poor review or unclear permission.
tool-chasing, theatre and ideas that should be parked.
what leadership should encourage, control, investigate or stop.
// what_we_inspect
We inspect the operating reality, not just the tool list.
The useful answer is rarely "which model should we use?" It's where AI is already touching work, where staff feel exposed, and where the organisation has enough signal to act.
Current AI use and shadow adoption
Workflow drag and missed value
Permission, data and review gaps
Governance maturity and policy clarity
Staff confidence, fear and blockers
Use cases worth encouraging, or parking
// one_week_flow
Monday we scope. Friday you decide.
Scope the map
Agree the leadership question, teams in scope, risk appetite and what a useful answer must look like.
Gather the signal
Collect structured inputs and, where useful, run AI-led listening sessions to surface patterns across teams.
Separate signal from noise
Map where AI is helping, where it's risky, where adoption is blocked and which ideas should wait.
Leadership readout
Discuss the evidence, the decision options and the practical route forward.
// what_leadership_gets
Next board meeting, someone will ask about AI. The answer will be in front of you.
The sprint ends in a leadership readout built for the moments that actually test you: the board question, the vendor pitch, the budget round. You receive:
A current-state map of AI use, including what was invisible before
A risk and opportunity summary in plain language
Prioritised next actions, each with an owner-shaped edge
A recommendation on the best route forward
// choose_confidence_level
Choose the right level of confidence.
Each option stands alone. The right fit depends on appetite, budget and the strategic driver behind the assessment.
Readiness Snapshot
A fast, self-reported baseline for leadership teams that need an initial signal before deciding whether deeper assessment is justified.
Best for
Early clarity, budget shaping and deciding whether AI adoption needs more attention.
Readiness Diagnostic
Structured answers plus AI-led interviews and listening sessions that expose adoption patterns, workflow drag, confidence gaps and risk signals.
Best for
When leadership needs evidence before choosing a route, sponsor or first serious use case.
Readiness Advisory
DTP interpretation and leadership discussion, turning the evidence into practical recommendations on what to fund, govern, investigate or stop.
Best for
When the organisation needs a trusted external view before committing people, budget or policy change.
// the_honest_outcome
One legitimate outcome: no further action.
The sprint ends with a recommendation, not a sales pitch. The route forward might be guidance, AI Foundry, Discovery, a focused proof of concept, leadership coaching, or stopping here. If the evidence says stop, the readout says stop. The point is to choose with evidence.
// questions
Useful questions before you start.
What is an AI Adoption Readiness Sprint?
It is a time-boxed assessment of how AI is already touching the organisation. It gives leadership a clearer view of current use, practical opportunities, risks, confidence gaps and the decisions that need to be made next.
Who should be involved?
That depends on the question being answered. A useful group normally includes a leadership sponsor and a proportionate mix of people who understand operations, technology, data, governance and day-to-day work. It does not require the whole organisation to take part.
Is this a technical audit?
No. Technology is part of the picture, but the assessment also looks at workflow, governance, confidence, permission, ownership and leadership decision-making. It is about operating reality, not simply producing a tool inventory.
Do we need to know exactly which AI tools people are using?
No. Part of the assessment is establishing what is visible, what is assumed and where informal or unmanaged use may exist. You do not need a complete inventory before starting.
Will this expose individuals who are already experimenting?
The purpose is to understand patterns, workflows and organisational conditions, not to catch people out. How individual input is handled is agreed at the start so participants understand the scope and can contribute honestly.
How much time will our team need to give it?
The sprint is designed to be proportionate. Time depends on the level selected, the number of stakeholder groups and the complexity of the decision. We agree the people, inputs and timetable before work begins rather than creating an open-ended commitment.
Do we need an AI strategy or policy before starting?
No. A live strategy, policy question, Copilot rollout, near miss or staff request for guidance can all be reasons to run the assessment. Existing policies and guidance are useful evidence, but they are not prerequisites.
What will leadership receive?
The depth depends on the chosen level, but the result is a plain-English decision view of current AI use, risks, opportunities and readiness gaps, with practical recommendations on what to encourage, control, investigate, pause or stop.
Is this a legal compliance review or a training course?
No. It is not legal advice, a certification exercise, generic AI training or a mini-Foundry. Where specialist legal, regulatory or security advice is needed, that is identified rather than quietly implied to be covered.
What happens after the sprint?
The evidence may point to clearer guidance, staff development, AI Foundry, Discovery, a focused proof of concept, leadership coaching or no further action. The sprint does not assume that a tool purchase or larger DTP programme follows.
// start_with_clarity
Start with the clearest next decision.
If AI adoption feels busy, risky or hard to read, one week turns it into a decision you can defend.
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