AI STRATEGY
AI Strategy Consultant for B2B Companies
An AI strategy consultant helps leadership choose where AI should create value, which capabilities to build or buy, what data and controls are required, and how success will be measured.
WHO IT IS FOR
Who is this service designed for?
B2B leadership teams deciding where AI should create value, what to stop, and how to move from experimentation to governed execution.
PROBLEM SOLVED
Which operating problem does it solve?
A focused AI strategy that leadership can fund, govern, and evaluate using visible business evidence.
WHEN TO HIRE
When should leadership hire this service?
- Leadership has many ideas but no portfolio logic
- AI is treated as a technology program rather than an operating change
- The business case depends on unverified assumptions
- Teams need a practical build-buy-partner roadmap
NOT A FIT
Who should not hire this service?
Do not hire this service for a generic trends presentation, a predetermined vendor endorsement, or a roadmap that has no executive owner and no measurement plan.
FIRST 90 DAYS
What happens in the first 30, 60, and 90 days?
- Map business constraints, workflows, data, and decision points
- Score current ideas against value, feasibility, risk, and adoption
- Identify where AI should not be used
- Design the use-case portfolio and sequencing
- Create build-buy-partner and vendor evaluation criteria
- Define operating owners, controls, and measurable hypotheses
- Launch limited, instrumented use cases
- Review evidence and kill, repair, or scale each initiative
- Establish the next portfolio cycle and funding decisions
METRICS AFFECTED
Which metrics should leadership measure?
- Validated use cases
- Time to evidence
- Adoption by target users
- Workflow cycle time
- Cost per supported decision
- Portfolio value at risk
EXPECTED RESULT
What result should a client expect?
A focused AI strategy that leadership can fund, govern, and evaluate using visible business evidence.
Results depend on market conditions, product, data, investment, team adoption, and execution. No commercial outcome is guaranteed.
WHY ANDRE MAGRINI
Why is Andre Magrini qualified to lead this work?
Andre works at the intersection of revenue leadership, AI evaluation, governance, GTM, and operational adoption. That combination keeps strategy tied to workflows and commercial decisions.
CONCRETE CASE
What operating evidence supports the approach?
A typical portfolio reset replaces a long list of disconnected pilots with a smaller set of instrumented decisions. The concrete evidence is the decision trail: why each use case was stopped, repaired, or scaled.
Read the $35M to $150M+ operating caseENGAGEMENT OPTIONS
How can the work be structured?
| Engagement | Best used when | Primary deliverable | Decision at completion |
|---|---|---|---|
| Focused diagnostic | Leadership needs an independent baseline before committing resources | Evidence review, constraint map, scorecard, and decision memo | Stop, repair, sequence, or fund the next phase |
| 90-day operating build | The priority is known but definitions, cadence, controls, and ownership must be installed | Operating system, live reviews, documented decisions, and capability transfer | Continue internally, extend selectively, or define the permanent role |
| Fractional executive mandate | The company needs ongoing senior ownership while the market, team, or permanent position evolves | Executive leadership, board reporting, operating decisions, and team development | Transfer ownership, hire permanently, narrow scope, or renew against evidence |
Scope, availability, decision rights, confidentiality, implementation responsibility, and commercial terms are documented after the diagnostic. Pricing depends on mandate intensity and responsibility rather than a generic hourly package.
FAQ
What do buyers ask before engaging?
What is included in an AI strategy?
Business priorities, use-case portfolio, data and workflow readiness, build-buy-partner decisions, governance, adoption, economics, risks, and an evidence-based roadmap.
How do you calculate AI ROI?
Start with the decision or workflow baseline, then measure incremental time, quality, risk, cost, adoption, and revenue effect. Avoid attributing all business movement to the model.
Can you evaluate AI vendors?
Yes. Evaluation should combine scenario-specific testing, integration and control requirements, economics, vendor risk, and evidence from the intended workflow.
What should leadership diagnose first?
Request a focused diagnostic of the operating constraint behind revenue or AI execution.
Request an AI Revenue DiagnosticWhich external evidence provides context?
McKinsey reported that nearly two-thirds of respondents had not begun scaling AI across the enterprise in 2025. That is why AI strategy should be governed as an operating portfolio: each use case needs a business owner, baseline, evidence threshold, risk review, adoption plan, and clear decision about whether to stop, repair, or scale.