The wrong hire
A capable technical leader is often brought in to drive AI before the commercial priorities, use cases, and decision rights are defined. The result is ambiguity instead of a mandate.
AI Readiness Sprint
Before you hire, buy, or build for AI, get the first decision right.
A fixed-scope advisory sprint for founder-led businesses and leadership teams that need clear AI direction before committing to full-time hires, major software contracts, or custom implementation.
What it is
This is the decision layer that sits before the CTO hire, the automation rollout, or the vendor commitment. It clarifies where AI creates value, what needs governance first, and what the next move should be.
Best fit
Founder-led businesses from $2m-$200m revenue, commercially ambitious leadership teams, and organisations feeling pressure to do something with AI but wanting to avoid the expensive first mistake.
Tool-led confusion
Software demos can look compelling while the underlying workflow, evaluation logic, data context, and ownership model remain unresolved. Spend begins before fit is proven.
Pilot theatre
Experiments create internal noise without leading to adoption. There is no ranked opportunity set, no baseline economics, and no operating path from test to value.
What the sprint examines
Business model exposure, workflow friction, customer experience shifts, internal capability, governance posture, tooling choices, shadow AI usage, and the quality of the opportunities currently being considered.
What the sprint changes
It turns AI pressure into a disciplined decision. Instead of broad enthusiasm, you leave with a clearer opportunity set, stronger investment logic, defined guardrails, and a recommendation on whether the next move is software, partner support, internal capability, or a future hire.
What you actually get.
The output is meant to be decision-ready, not a generic strategy deck. It should help a founder, executive team, or investor-aligned leadership group back the next move with more confidence.
Executive AI opportunity map
A ranked view of use cases, workflows, and strategic opportunities where AI could create value now, later, or not at all.
Current-state readiness review
A practical assessment of existing process maturity, knowledge flows, tooling, data context, and internal friction points.
Value case and decision criteria
A baseline for what the first AI move must prove, how success should be evaluated, and what commercial logic should govern investment.
Controls and human oversight model
Clear boundaries for what AI can assist with, what it can automate, and where approvals, escalation, and human review should remain.
Buy, build, partner, or hire recommendation
A recommendation on the right next move: off-the-shelf software, specialist partner, internal capability, external build support, or a future full-time leader once the brief is ready.
Board-level memo and 90-day plan
A concise executive pack that states the decision, the rationale, the risks, the near-term roadmap, and the brief for the next phase of work.
Founder-led advisory PDF
Use the full offer summary when you need a more formal explanation of the sprint format, outcomes, and commercial rationale.
Open founder-led sprint PDFReal estate variant
A sector-specific version also exists for real estate agencies and property businesses exploring AI-led marketing, lead handling, and workflow redesign.
Open real estate sprint PDFWhy this is credible
This is not pure strategy language. The value comes from combining operating-model depth, practical AI judgment, governance maturity, and hands-on product and prototype experience across enterprise and founder-led settings.
Optional continuation
The sprint can stand alone. If useful, it can transition into a narrower advisory retainer, governance support, rapid prototyping, or a Fractional Head of AI engagement once the first decision is clear.
Common questions about the sprint.
This offer is designed for organisations that need a cleaner first brief before larger AI spend begins.
Who is this sprint designed for?
It is designed for founder-led businesses and leadership teams that know AI matters but need a sharper first decision before hiring, buying software, or committing to custom implementation.
What does the sprint help avoid?
It helps avoid expensive false starts such as the wrong hire, tool-led confusion, pilot theatre, and automation efforts that begin before business value, controls, or ownership are clear.
What are the main outputs?
Typical outputs include an executive AI opportunity map, readiness review, value-case framing, governance and oversight guidance, a buy-build-partner-hire recommendation, and a 90-day action plan.
How long does it take?
The sprint is typically delivered over 2 to 4 weeks, depending on stakeholder access, business complexity, and the range of workflows being assessed.