By now, you have activity: licenses, pilots, champions, agents, workshops. The 2027 plan has to connect it to business value – and make the tradeoffs clear.
Separate measured value, directional evidence, and assumptions. Establish a baseline without pretending the data is perfect.
Forecast value and investment under conservative, expected, and upside cases. Make every assumption visible.
Find the workflows with the strongest combination of material value, organizational viability, and speed to impact.
Set the leadership, proficiency, adoption, and change targets required to make the roadmap more than a deck.
Section brings the strategy, data, workflow expertise, and workforce plan together, so each part of the forecast has an execution path behind it.
Inventory spend and initiatives. Analyze usage, proficiency, workflow impact, business results, and the barriers behind stalled value.
Model cost, capacity, quality, and growth scenarios. Distinguish hard evidence from directional signals and explicit assumptions.
Align leaders on the outcomes AI should create, improve, or eliminate—and the few measures that will prove progress.
Map critical work across functions, score opportunities, and choose the workflows most likely to produce material impact.
Define what executives, managers, champions, and employees must do differently and build the support to get them there.