
A 30-day engagement that replaces "we should probably do something with AI" with a validated, prioritised plan you can execute safely.
We interview your team, map where time is actually being lost, score the opportunities that matter most, and hand you a plan built on evidence, a maturity baseline and ranked business cases, with risks accounted for.
Every recommendation traces back to an interview, a workflow, or a document addressing your unique business challenges.
A clear guardrail from day one: AI drafts, but a human always reviews and sends. Nothing goes out ungoverned.
You get a process that's been executed dozens of times, not an ad-hoc engagement pulled together at the last minute.
The Sprint isn't the end state. It's designed to move straight into the build phase, with no re-scoping gap.
Kickoff, stakeholder interviews, and workflow mapping give you clarity on your real pain points and a foundation to baseline from.
A clear, evidence-based picture of where time is being lost, built from direct interviews and a review of how work moves through your systems today. This is the foundation everything else builds on, and the baseline you'll return to later to prove progress.
Illustrative example — your baseline is built from your own interviews.
A scored view of where the organisation stands today across the dimensions that determine whether AI works: strategy, data, technology, people, governance, and security, each rated against a realistic 12-month target. This gives leadership a defensible number to plan around.
A ranked shortlist of opportunities, scored on impact and effort so investment goes where it pays off. Each exits as a business case: the problem in plain english, the size of the opportunity with the math shown, and the expected return.
Illustrative framework — your opportunities are plotted and named in the Sprint output.
A clear view of where the organisation stands today: strengths to build on, weaknesses to address, opportunities AI can realistically capture, and threats that grow if action waits. It grounds the roadmap in real strategic context.
Illustrative example — your SWOT is built from your own interviews and context.
A defensible view of how value builds over time, modeled as a band rather than a single number: conservative, expected, and high-adoption curves against a year-one floor, so leadership can budget without over-promising.
A phased delivery plan sequenced for early wins, paired with named risks and mitigations. You leave with clear next actions, owners, and timing, ready for execution without a second scoping round.
Illustrative categories — your risk view is named and owned.
Fill out the form about your business, and we'll map an AI strategy built on your workflows, your data, and your priorities.