Turn scattered AI pressure into a governed 90-day action plan in two weeks.
If your team is being told to “do something with AI” but nobody agrees on the use cases, risks, owners, or rules, this sprint gives leadership a practical decision path before you waste money on tools or disconnected pilots.
Most AI initiatives don’t stall because the model is weak.
They stall because leadership has too many ideas, too much vendor pressure, unclear data boundaries, no shared scoring model, no governance owner, and no one willing to say which use cases should be funded, paused, or governed first.
That is how organizations end up with shadow AI, tool sprawl, nervous legal and security teams, and expensive pilots that never become operating capability.
What you leave with
Tangible artifacts your leadership team can review, fund, pause, or hand to an implementation team.
AI use-case shortlist
- Ranked by value, risk, data readiness, owner readiness, complexity, and human-review requirements
- Clear distinction between quick wins, risky ideas, and later-stage opportunities
Readiness + risk findings
- Business, data, workflow, security, governance, adoption, and measurement gaps
- Plain-English explanation of what blocks progress
Governance gap list
- Approved use, restricted use, sensitive-data boundaries, human review, escalation, audit evidence, and ownership needs
First-pilot recommendations
- Which pilots are realistic now
- What must be true before each pilot moves forward
- What success should be measured against
90-day roadmap
- What to do next, who should own it, and what should wait
- Built for executive decisions, not AI theater
Executive decision memo
- A concise summary leaders can share, debate, fund, or use to align teams
The mechanism: four decisions in one sprint
Most teams treat these as separate conversations. That is why they keep spinning.
Prioritize the use cases
Which AI opportunities are worth pursuing, and which are just distractions?
Assess readiness
What data, workflow, security, adoption, or measurement gaps will block success?
Define governance gaps
What rules, owners, review gates, and evidence are needed before rollout?
Support the executive decision
What should leadership fund, pause, pilot, communicate, or govern over the next 90 days?
A quick diagnostic: do you need this before buying more AI tools?
If three or more are true, the sprint is probably a better first step than another vendor demo.
Different leaders have different AI priorities.
Everyone agrees AI matters, but there is no shared scoring model.
Employees are already using unapproved AI.
Shadow AI is moving faster than policy, review, or training.
Copilot or ChatGPT Enterprise is on the table.
Content permissions, sensitive data, and usage rules are not ready.
You have agent/workflow ideas.
But human review, auditability, tool access, and ownership are unclear.
Security or legal is slowing adoption.
Not because they hate AI — because the risk model is undefined.
The board wants an AI plan.
But the team does not yet have a credible 90-day roadmap.
The offer stack
A short, paid engagement designed to create clarity before spend.
Executive AI Briefing
$2,500
A focused leadership session to explain the opportunity, risks, traps, and likely next steps. Credited toward the sprint if you proceed, which makes the first step lower risk.
AI Readiness + Governance Sprint
$7,500–$15,000
Two-week sprint. Final fee depends on scope, stakeholder groups, and complexity.
Follow-on implementation path
Scoped after the sprint
If a pilot is worth pursuing, the roadmap can become workflow design, agent strategy, governance rollout, or implementation support.
Who this is for — and who it is not for
Good fit
- Executives, CIOs, CISOs, COOs, CFOs, compliance, data, innovation, and business leaders
- Teams considering Copilot, ChatGPT Enterprise, private AI, RAG, workflow automation, or AI agents
- Healthcare, higher ed, SLED, utilities, finance, insurance, manufacturing, and professional services teams where trust matters
Not a fit
- Vague AI inspiration with no decision owner
- Autonomous AI in high-risk workflows before review and accountability exist
- Free strategy calls, generic prompt tips, or a motivational AI presentation
Best trigger events
- Board or executive pressure to create an AI plan
- Shadow AI is already happening
- A major AI tool rollout is being discussed
- Too many use cases and no way to choose
Common objections
Why not just buy the AI tool?
Because tools do not decide which workflows matter, what data is safe, who owns exceptions, what human review is required, or how success is measured. Buying the tool before those decisions usually creates more confusion.
Can we do this internally?
Yes, if you already have a neutral decision process, executive alignment, governance owner, use-case scoring model, and time to pull business, IT, security, legal, and operations into one path. If not, the sprint creates the structure.
Is this strategy or implementation?
It is the decision layer between strategy theater and implementation. You leave with enough clarity to decide what to pilot, govern, pause, or scope next.
Do we need to know our use cases already?
No. If you have use cases, we prioritize them. If not, we identify realistic candidates based on workflows, data, risk, and business value.
What makes this lower risk?
It is scoped, short, vendor-neutral, and does not require production AI deployment. You get decision artifacts before committing to a larger implementation.
If AI is already on the leadership agenda, don’t wait for tool sprawl or shadow AI to force the issue.
Use the first conversation to decide whether a paid executive briefing or the full AI Readiness + Governance Sprint is the right next move.
Typical sprint range: $7,500–$15,000. Paid executive briefing: $2,500, creditable toward sprint when appropriate.