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01  ·  DATA & AI READINESS SPRINT

Know where your Data & AI ambition stands - and what to do next - in 6 weeks.

A senior-led readiness sprint that gives you a clear scorecard, the real blockers, and a defensible plan for delivering Data & AI value

INVESTMENT

£15k

Fixed scope

DURATION

6 weeks

Remote-first · on-site as required

OUTPUT

Executive Plan

Scorecard · risks · action plan

REQUEST AN INTRODUCTORY CONVERSATION

Need focused advice on a specific issue? Book a paid advisory session.

THE PRESSURE YOU ARE UNDER

AI activity is increasing. Confidence in value, control, and readiness is not.

The issue is rarely ambition. There is a gap between what leaders want from Data & AI and what the organisation is capable of delivering.

Pilot activity, unclear value

AI and analytics initiatives are underway, but few have a clear route to measurable business impact.

Data not ready for AI

Key data is fragmented, inconsistently defined, poorly owned, or not trusted enough to support scaled AI use.

Governance uncertainty

AI ownership, risk classification, control points, and escalation routes are not yet clear enough.

Leadership accountability gap

Technical activity exists, but no single leadership view connects strategy, value, delivery, risk, and accountability.

WHAT WE ASSESS

Five dimensions of Data & AI readiness. Scored with evidence, not opinion

Each area is assessed Ready  · Partially Ready  ·  Not Ready, with the evidence behind the rating and the practical implication for leadership.

01

Strategy & value

Whether Data & AI initiatives are linked to clear business outcomes, priorities, investment choices, and measurable value.

02

Data foundations

Whether key data domains are trusted, owned, understood, and ready to support analytics, automation, and AI use.

03

Technology & platform

Whether platforms, architecture, tooling, and spend are coherent enough to support delivery without unnecessary complexity.

04

Operating model

Whether ownership, decision rights, delivery roles, and accountability are clear enough to move from ideas to outcomes.

05

Governance & risk

Whether AI usage, controls, risk classification, escalation, and regulatory readiness are clear enough to be defensible.

WHAT YOU WALK AWAY WITH

A decision-ready pack — not a long report.

01 · Current state

Readiness scorecard

A clear Red / Amber / Green view of where your organisation stands across the key Data & AI readiness dimensions.

  • Evidence behind each rating
  • Strengths and weak spots
  • Leadership-level view of readiness
02 · Exposure

Risks and blockers

A focused view of what is slowing progress, creating exposure, or preventing Data & AI activity from becoming trusted business value.

  • Value gaps
  • Governance and ownership risks
  • Delivery constraints
03 · Next move

Action plan

A practical plan showing what to do next, what to pause, and what to prioritise to move from ambition to controlled execution.

  • Sequenced actions
  • Ownership recommendations
  • Immediate priorities

HOW IT WORKS

A focused 6-week sprint with minimal disruption.

Senior interviews, evidence review, readiness assessment, and a final leadership readout — designed to give you clarity without creating a large internal project.

Weeks 1–2

Kick-off and scoping

We confirm the business context, review existing material, and focus the assessment on the areas that matter most.

Weeks 3–4

Interviews and assessment

We speak with key leaders, assess the five readiness dimensions, and identify the real blockers to progress.

Weeks 5–6

Readout and action plan

You receive the readiness scorecard, key risks, blockers, and a practical action plan for leadership decision-making.

READY TO START?

BOOK AN INTRODUCTORY CONVERSATION