AI Decision Review Sprint
A focused 1-2 week advisory engagement for senior leaders facing a specific AI decision. We test assumptions, clarify ownership, map risks and constraints, and recommend whether to proceed, narrow scope, redesign, defer, buy, build, or stop.
Who It Is For
A real AI decision is moving toward budget, vendor selection, product scope, or workflow change.
Senior leadership needs a defensible basis for saying yes, no, not yet, or only if.
The organisation needs decision rights, risk controls, and human oversight to be explicit.
A vendor, internal team, board, or investor is pushing for confidence before the operating model is clear.
When To Use This
Bring a specific decision where budget, risk, workflow, product direction, or accountability is about to move.
Review whether the workflow is stable, understood, and safe enough to automate.
Test vendor claims, hidden operating costs, integration risk, governance needs, and accountability gaps.
Clarify user value, model risk, product liability, data exposure, and human oversight.
Assess permissions, monitoring, auditability, escalation, failure modes, and blast radius.
Map risk, documentation, oversight, traceability, and decision accountability.
Identify whether the failure was model quality, workflow design, incentives, ownership, adoption, or governance.
How The Review Works
The review focuses on the decision in front of you: what is known, what is assumed, who is accountable, and what would need to be true for AI to be useful here.
Step 1
We clarify the decision being made, the options available, the stakes, the people involved, and what would make the decision successful.
Step 2
We look at workflow, incentives, data, architecture, users, vendors, governance, and failure modes as one system.
Step 3
We test whether AI is solving the real problem or just adding capability to an unclear process.
Step 4
We clarify ownership, escalation, oversight, and the points where humans must remain responsible.
Step 5
You receive a clear recommendation and practical next steps.
What You Get
You leave with a decision memo, assumption map, decision rights map, risk and constraint map, control recommendations, and a practical next-step plan.
A clear recommendation on whether to proceed, narrow scope, redesign, defer, buy, build, or stop.
The explicit and implicit assumptions behind the AI decision.
Who owns the decision, who provides input, who signs off, and who carries the consequences.
Operational, technical, data, reputational, compliance, and adoption risks.
Proportionate human oversight, escalation, monitoring, logging, and review points.
A practical sequence of decisions and actions for the next 30-90 days.
A concise summary suitable for leadership, board, or investor conversations.
Pricing
Start small when the decision is still forming, or use the sprint when leadership needs a defensible recommendation before budget, vendor, product, or automation commitments move further.
£950 + VAT
90-minute working session
Best for
Best for early clarity on one live decision.
AI Decision Review Sprint
From £7,500 + VAT
Usually £7,500-£12,500 + VAT, 1-2 weeks
Best for
Best before a budget, vendor, product, or automation commitment.
£2,500-£3,500 + VAT
Half-day leadership workshop
Best for
Best for teams that need alignment before a larger AI initiative.
£3,500-£6,500/month + VAT
Ongoing senior decision support
Best for
Best for repeated AI product, governance, or adoption decisions.
After The Review
You can take the recommendation and execute internally.
If broader technology leadership, architecture, or delivery support is needed, that work can continue under Sperring Software Consulting Ltd where appropriate.
Common Questions
Partly, but it is narrower and more useful than a generic strategy exercise. The work starts with a specific decision, system, or commitment and tests whether the organisation is ready to make it responsibly.
Not by default. Not An LLM is advisory-first. If implementation or broader delivery support is needed, that can move under Sperring Software Consulting where appropriate.
Bring a real decision with consequences: vendor selection, build-vs-buy, workflow automation, agent deployment, AI product feature, sensitive process, or a struggling AI initiative.
Sometimes. The goal is not maximum AI adoption. The goal is better outcomes with clearer accountability.
Usually yes. This is most useful for organisations with enough technical or operational complexity that AI decisions have real consequences.
Yes, especially where governance needs to be practical rather than performative. The work clarifies decision rights, oversight, escalation, monitoring, and accountability.
AI Decision Review Sprint engagements start from £7,500 + VAT. Smaller decision triage sessions start from £950 + VAT. Exact scope depends on complexity, stakeholders, and risk exposure.
You may take the recommendation and execute internally. If broader technology leadership, architecture, or delivery support is needed, that can continue under SSC.
Book A Review
Share the decision you are currently wrestling with, why it is hard, and what is at stake. If there is a fit, I will reply personally.
A useful first note names the decision, the options being considered, and who will carry the consequences.