AI strategy, business case and ROI
Which AI investment moves your business forward?
You need a credible basis for deciding where to implement and scale AI. Assess value potential, feasibility and total costs together to establish an implementation plan with commercial success criteria.
Discuss your business caseWho this is for
For management, business-unit leaders and owners of AI initiatives, especially when use cases compete for investment, a pilot needs to scale or the value of existing investment remains unclear.
Identify value and set priorities
Which constraints limit growth or service capacity? Where are avoidable costs? Which new services could AI make possible? Business and IT assess candidate applications by commercial contribution, feasibility and delivery effort.
You receive a prioritised selection and a clear next engagement. Deciding not to pursue an application can also be a sound commercial result.
Build a complete business case
Investment includes development, integration, data preparation, adoption and internal effort. Running costs include models and platforms, maintenance, human review, rework and continued development. Compare these with attributable benefits over the same period.
Time saved is initially reported as available capacity. It becomes a cash saving only when spending falls, or creates additional value when that capacity is used productively. Additional revenue is assessed through its contribution to profit.
Distinguish ROI from payback
For an agreed period: ROI = (attributable benefits − total costs) ÷ total costs. This requires positive total costs and comparable, defensible values. Payback asks a different question: when do cumulative net inflows recover the initial investment?
Consider adoption, case volume, quality and cost assumptions across scenarios. Quality and risk benefits remain separate decision criteria where they cannot credibly be expressed in money.
Validate in the pilot and follow through after rollout
Establish a baseline and measures before implementation. The pilot tests technical feasibility and commercial assumptions, including human review and correction effort.
After rollout, assess actual use and business outcomes. For revenue or profit changes, examine which part can reasonably be attributed to the application. Update the business case with these findings.
What you receive for the decision
The agreed engagement includes a use-case assessment, documented assumptions, cost and benefit scenarios, and an implementation and measurement plan. Ownership and criteria for continuing, adjusting or stopping are recorded.
Technical delivery and rollout can build on that work. Your business retains a clear basis for subsequent investment decisions.
Discuss your business case
What is your business objective, which AI initiatives already exist, and what decision do you need to make?
A short description is enough. Please do not send confidential documents at this stage.