HR AI Business Case Template: 12 Sections That Win Approval
Finance and executive teams approve AI investments that are specific, honest about costs and risks, and clear about how success will be measured. This template gives you that structure.
Short answer
An HR AI business case template should include twelve sections: executive summary, problem statement with baseline data, proposed solution, options considered, quantified benefits, full one-off and ongoing costs, ROI and payback with sensitivity analysis, risks and controls, compliance including AI regulation and data protection, implementation plan with a pilot and decision points, success measures with KPIs, and the decision requested.
Key takeaways
- Lead with the business problem and baseline, not the technology.
- Show options, including doing nothing and improving the process without AI.
- Include full costs and a sensitivity range.
- Address risk and compliance directly; it builds credibility.
The template
1. Executive summary
One paragraph: the problem, the proposed AI solution, expected benefits, total cost, ROI and the decision requested.
2. Problem statement
The current process, its volume, cost, pain points and impact on employees, candidates or the business, with baseline data.
3. Proposed solution
What the AI solution does, which processes it changes, who uses it and what stays human.
4. Options considered
Do nothing, process improvement without AI, and one or more AI options, with reasons for the recommendation.
5. Benefits
Quantified efficiency, cost avoidance, outcome and risk benefits, plus qualitative experience benefits, with assumptions.
6. Costs
One-off and ongoing costs: licences, implementation, integration, content, training, change, governance and ownership.
7. ROI and payback
ROI over one to three years, payback period and a sensitivity range for key assumptions.
8. Risks and controls
Accuracy, bias, privacy, legal, adoption and vendor risks, with mitigations and responsible owners.
9. Compliance
Classification under relevant AI regulation, data protection impact assessment status and consultation needs.
10. Implementation plan
Pilot scope, timeline, milestones, resources and decision points for scaling or stopping.
11. Success measures
KPIs, baselines, targets and reporting cadence.
12. Decision requested
What approval is needed, from whom and by when.
Tips for winning approval
- Co-develop the numbers with finance.
- Propose a pilot with clear stop criteria to reduce perceived risk.
- Show employee and candidate benefits, not only cost.
- Address fairness and legal compliance explicitly for any AI affecting decisions about people.
- Keep the main document short; put detail in appendices.
All figures in worked examples are illustrative, not benchmarks. Replace them with your own baseline data.
See ROI of AI in HR, KPIs for AI adoption in HR and how to implement AI in HR.
Related guides
- ROI of AI in HR: How to Measure, Prove and Improve the Return
Value categories, an ROI formula, full costs, a worked example and common mistakes.
- KPIs to Track AI Adoption in HR: A Balanced Scorecard
A six-dimension KPI scorecard for AI in HR with definitions and reporting guidance.
- How to Implement AI in HR: A Step-by-Step Guide with a 90-Day Plan
An eight-step method, readiness checklist, vendor questions and a 90-day plan for your first AI project.
- Cost Savings from AI in HR: Where They Come From and How Big They Are
Seven sources of HR cost savings, how to estimate them and the hidden costs that erode them.
Frequently asked questions
What should an HR AI business case include?
Executive summary, problem and baseline, proposed solution, options, benefits, full costs, ROI and payback, risks and controls, compliance, implementation plan, success measures and the decision requested.
How do you make an AI business case credible?
Use baseline data, develop numbers with finance, include full costs and sensitivity ranges, address risks and compliance directly and propose a pilot with stop criteria.
Should an AI business case include a do-nothing option?
Yes. Comparing AI with doing nothing and with process improvement alone shows decision-makers why AI is the right choice.
How long should an HR AI business case be?
Keep the main document concise, often a few pages, with detailed calculations and evidence in appendices.