What business are we actually trying to improve?
Where is the organization paying for work that should be easier?
What is already meaningfully covered?
Which roles deserve investigation?
The AI roles worth pressure-testing first.
Do not treat every role the same.
High-value, credible fit
Roles connected to current priorities and expensive friction. Define a measurable outcome and prove them in a controlled workflow.
Potential blocked by readiness
Useful roles where data, workflow design, adoption or integration must improve before deployment.
Useful but not differentiating
Common capabilities that should usually be rented or bought rather than custom-built.
AI without a business case
Interesting capabilities disconnected from a meaningful business outcome. Do not create an AI program just to increase coverage.
Move from role idea to investment decision.
Do not build an AI workforce. Build leverage.
The objective is not to deploy the most AI. It is to identify the smallest set of AI-enabled roles that can materially improve the economics or operating capacity of the business, prove those roles, and then compound from evidence.
Want to pressure-test the map with your leadership team?
Feldman Advisory helps leaders decide where AI belongs, what is worth investing in, what should be owned, and what should be stopped before capital and attention are wasted.