AI Opportunity Review
Clarity on where AI pays off, before you commit budget.
You know AI matters and you want to find where it actually pays off without wasting time on slides, experiments, and vendor demos.
A review answers three questions
- 1Where does AI actually pay off in your business?
- 2What is realistic given your data, systems, and people?
- 3What should you do first, and what should you leave alone?
What you get
- A map of high-value AI use cases across your business
- A clear read on your data, systems, and process constraints
- A ranked recommendation of what to do now, what to do later, and what to leave alone
- A practical action plan for leadership
Best for: COOs, CTOs, CIOs, product leaders, and transformation teams who want clarity before committing budget.
Why targeting comes first
of enterprises see no measurable return on their GenAI spend.
capture nearly all of the value, by choosing the right problems first.
sample use cases mapped on value and effort in the map below.
*Figures from the MIT NANDA “State of AI in Business 2025” study.
The opportunity map
High value, low effort. That is where you start.
Every credible use case scored on the value it creates and the effort it takes. The top-left is where you start. The bottom-right is where you do not. Hover or tap any point to read it.
Selected use case
Internal knowledge assistant
Answers from your own documents, policies, and history, with sources.
Lower effort is better. The best first moves are high on value and low on effort.
Readiness, in four dimensions
A high-value use case still has to survive your reality.
Tap a dimension to set your own level, or load a profile. This is the honest read the review gives you in full.
Overall readiness
Early. There is groundwork to do before a first build pays off.
A point in the top-left of the map is only worth doing if these four hold up. The review pressure-tests both together.
How the review runs
Map, reality-check, rank and plan.
Map the opportunities
I map your business and surface every credible AI use case, then score each one on value and feasibility.
Reality-check the shortlist
I check the top candidates against your data, systems, and process constraints, so the plan survives contact with reality.
Rank and plan
You get a ranked recommendation and a practical action plan your leadership team can act on.
When it helps, I can fold a working session with your team into the review, so the plan lands with the people who will act on it.
Is this the right starting point?
An AI Opportunity Review, set against jumping straight to a build.
AI Opportunity Review
Straight to a build
Where it starts
Your business constraint and the value at stake
A tool or vendor someone already picked
What you get
A ranked plan across the whole business
One bet, before you know it is the right one
When constraints surface
Clearly, before budget moves
After the spend, in production
For leadership
A plan they can sign off and fund
A demo that may stall on the way to production
Main risk
Sequencing, which you control
Solving the wrong problem well
Already know the exact workflow to build?The AI Workflow engagement is the better fit
The outcome
You leave knowing exactly where to start, what to do later, and what to leave alone.
Book an AI Opportunity Review
Book a 30-minute
AI Opportunity Review.
This call is for leaders who want to find where AI can create operational value, what is realistic in their environment, and what to deprioritize now. If we are a fit, I will propose the next step. If we are not, I will tell you directly.
Write to Bruno
Usually replies within 24 hours
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