AI Decision Review Sprint

Review the AI decision before you scale the risk.

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

For one decision that now matters.

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

Use this before decisions like these.

Bring a specific decision where budget, risk, workflow, product direction, or accountability is about to move.

Should we automate this workflow?

Review whether the workflow is stable, understood, and safe enough to automate.

Should we buy this AI tool?

Test vendor claims, hidden operating costs, integration risk, governance needs, and accountability gaps.

Should we build an AI feature into our product?

Clarify user value, model risk, product liability, data exposure, and human oversight.

Should we deploy agents internally?

Assess permissions, monitoring, auditability, escalation, failure modes, and blast radius.

Should we use AI in a regulated or sensitive process?

Map risk, documentation, oversight, traceability, and decision accountability.

Why did our previous AI initiative disappoint?

Identify whether the failure was model quality, workflow design, incentives, ownership, adoption, or governance.

How The Review Works

Rigorous without becoming bureaucratic.

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

Frame the decision

We clarify the decision being made, the options available, the stakes, the people involved, and what would make the decision successful.

Step 2

Map the system

We look at workflow, incentives, data, architecture, users, vendors, governance, and failure modes as one system.

Step 3

Challenge assumptions

We test whether AI is solving the real problem or just adding capability to an unclear process.

Step 4

Design accountability

We clarify ownership, escalation, oversight, and the points where humans must remain responsible.

Step 5

Recommend the path

You receive a clear recommendation and practical next steps.

What You Get

What you get at the end.

You leave with a decision memo, assumption map, decision rights map, risk and constraint map, control recommendations, and a practical next-step plan.

Decision memo

A clear recommendation on whether to proceed, narrow scope, redesign, defer, buy, build, or stop.

Assumption map

The explicit and implicit assumptions behind the AI decision.

Decision rights map

Who owns the decision, who provides input, who signs off, and who carries the consequences.

Risk and constraint map

Operational, technical, data, reputational, compliance, and adoption risks.

Control design recommendations

Proportionate human oversight, escalation, monitoring, logging, and review points.

Next-step plan

A practical sequence of decisions and actions for the next 30-90 days.

Executive readout

A concise summary suitable for leadership, board, or investor conversations.

Pricing

Clear scope before you commit.

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.

AI Decision Triage

£950 + VAT

90-minute working session

Best for

Best for early clarity on one live decision.

  • One live decision
  • Assumption and risk challenge
  • Short written decision note

AI Decision Review Sprint

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.

  • Decision memo
  • Risk and accountability maps
  • Control recommendations
  • Executive readout

AI Reality Check Workshop

£2,500-£3,500 + VAT

Half-day leadership workshop

Best for

Best for teams that need alignment before a larger AI initiative.

  • Leadership working session
  • Decision framing
  • Priority risks and next steps

AI Product & Governance Advisory

£3,500-£6,500/month + VAT

Ongoing senior decision support

Best for

Best for repeated AI product, governance, or adoption decisions.

  • Senior advisory cadence
  • Governance and product challenge
  • Decision support, not delivery work
Start with one real decision

After The Review

What happens after.

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

Is this AI strategy consulting?

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.

Do you implement AI systems?

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.

What kind of decision should we bring?

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.

Will you tell us not to use AI?

Sometimes. The goal is not maximum AI adoption. The goal is better outcomes with clearer accountability.

Do we need a technical team already?

Usually yes. This is most useful for organisations with enough technical or operational complexity that AI decisions have real consequences.

Can this help with AI governance?

Yes, especially where governance needs to be practical rather than performative. The work clarifies decision rights, oversight, escalation, monitoring, and accountability.

How much does it cost?

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.

What happens after the review?

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

Start with one real decision.

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.