How to build a business case for an AI training system
A business case for an AI training system rests on four elements in a precise order: quantify the true cost of the current problem (production, delivery, employee time, non-compliance), project measurable benefits (reduced training time, fewer retakes, OPCO (French vocational training funding body) gains, lower production costs), estimate the real costs of deployment (not just the platform, but integration, configuration, maintenance), and identify risks. The robustness of the business case depends less on financial model sophistication than on the quality of the baseline data.
Step 1: quantify the current problem
This is the most neglected and most important step. A solid business case compares the AI system's cost to the total cost of the problem it solves, not simply to existing training spend.
The cost of producing current training: design, development and revision cost per hour of content. Sector data range from 5,000 to 30,000 euros per hour of e-learning depending on interactivity level.
The cost of employee time in training: number of training hours per year per employee multiplied by average fully-loaded hourly cost multiplied by number of employees concerned.
The cost of retakes: what proportion of training is taken twice or more by the same employees because learning was not retained? An estimate of 15% to 25% is documented in studies on workplace training.
The cost of non-compliance: regulatory training expiring without renewal, OPCO (French vocational training funding body) files rejected for lack of traceability.
Step 2: project measurable benefits
Reduced training time: apply 20% (low, prudent threshold) to employee time cost. Reduced retakes: estimate a 50% reduction of the cost identified in step 1. OPCO funding gain: value of additional funding enabled by improved traceability. Reduced production cost: a range of 30% to 60% is documented in published cases. Value of skills progression against identified operational indicators.
Step 3: estimate real costs
Platform cost over the planned period (minimum 3 years). Integration cost with existing tools: to be requested explicitly with contractual commitments, not indicative estimates. This cost is frequently underestimated during selection. Cost of configuring the skills framework and learning paths. Ongoing maintenance and content validation.
Step 4: identify risks
Adoption risk (will learners use it?), data quality risk (are assessments robust?), vendor risk (what happens if the vendor disappears?). Each risk should have a mitigation: pilot scope, phased rollout, data escrow.
What makes a business case credible for a CFO
A documented baseline, prudent assumptions (use the low end of published ranges), 3-year horizon, and a pilot that proves the model on a limited scope before scaling.