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
Executive context
B2B leadership teams deciding where AI should create value, what to stop, and how to move from experimentation to governed execution.
PROBLEM SOLVED
What this engagement changes
A focused AI strategy that leadership can fund, govern, and evaluate using visible business evidence.
WHEN TO HIRE
Signals the timing is right
- 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
A different operating objective every 30 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
What leadership should 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 a client should 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
Authority grounded in operating 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
Operating evidence with clear limits
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 caseFAQ
Questions buyers ask
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.
Start with evidence, not assumptions.
Request a focused diagnostic of the operating constraint behind revenue or AI execution.
Request an AI Revenue Diagnostic