How to build a business case for an AI training system
A business case for an AI training system rests on four elements: quantification of the current problem, projection of measurable benefits, estimation of actual deployment costs, and identification of risks. Its strength depends less on the sophistication of the financial model than on the quality of baseline data and precise scope definition.
M6. How to build a business case for an AI training system
A business case for an AI training system rests on four elements: quantification of the current problem, projection of measurable benefits, estimation of actual deployment costs, and identification of risks. Its strength depends less on the sophistication of the financial model than on the quality of baseline data and precise scope definition.
Step 1: quantify the current problem
How much does training cost in your target scope—production, distribution, employee time, retakes, non-compliance costs. These figures are rarely consolidated. Collecting them is a useful exercise in itself, regardless of the technology decision.
Step 2: project measurable benefits
Reduction in training time through personalization. Reduction in retakes. OPCO funding gains through improved traceability. Reduction in content production costs through automatic generation. Value of skills progression measured against identified operational indicators.
Step 3: estimate actual costs
Platform cost over the planned duration. Integration cost with existing tools. Configuration and deployment cost. Team training cost. These items should be explicitly requested from vendors with contractual commitments, not indicative estimates.
Step 4: identify risks
Risk of insufficient employee adoption. Risk of available data quality. Risk of vendor lock-in. Risk of non-compliance if the system processes personal data without an appropriate framework.
Frequently Asked Questions
Is an external firm needed to build this business case? Not necessarily. A solid internal business case on a limited scope is often more credible than an external projection across the entire organization.
How to handle projection uncertainty? By working with low and high ranges, and identifying the most sensitive assumptions instead of presenting a single figure.
Who should own this business case internally? Ideally HR and Finance together. Without Finance, the project remains perceived as an HR project. Without HR, it lacks business substance.