HR AI business case template

Use this structure for any HR AI investment proposal. Pair it with the ROI calculation framework for the numbers behind the payback calculation, and the use case library if you haven’t picked a use case yet.

[Use case name]

Problem statement What is painful, slow, or inconsistent today? Who feels it? What does it cost?

Example: New hire onboarding Q&A is handled manually by HR Ops. Average response time is 4 hours. Each HR Ops team member spends approximately 6 hours/week answering repetitive questions from the same 40-question set. The result: HR capacity constrained on low-value work, new hires waiting for answers during their most critical first weeks.

Proposed solution One sentence: what will the AI do?

Example: Deploy a RAG-based Q&A agent trained on onboarding policies and FAQs, available 24/7, escalating to HR Ops for complex or sensitive questions.

Investment required Be specific. Include build time, ongoing model costs, maintenance, and enablement.

Cost item Estimate Basis
Build (engineer time) [X hours × rate] [Complexity estimate]
Ongoing model API costs [$/month] [Volume estimate × token cost]
Knowledge base maintenance [X hours/month] [Policy update frequency]
Enablement (training HR team) [X hours] [Team size × session time]
Total Year 1 $X  
Total Year 2+ $X/year  

Expected outcomes

Metric Baseline Target Measurement method
HR Ops time on Q&A 6 hrs/week/person <1 hr/week/person Time tracking or self-report
New hire question response time 4 hrs avg <5 min Ticket system timestamp
New hire 30-day CSAT [baseline] +0.5 points Onboarding survey
HR helpdesk ticket volume [baseline] -40% for FAQ categories Ticket system

Payback calculation

Annual HR time saved:   5 hrs/week × 3 HR Ops staff × 48 weeks = 720 hrs
Realized hours:         720 hrs × [realization rate, e.g. 60%] = 432 hrs
Value of HR time:       432 hrs × $[blended hourly rate] = $[X]
Annual run cost:        $[model costs + maintenance + licenses]
Net annual value:       $[X - annual run cost]
One-time investment:    $[build, integration, change management]
Payback period (months): one-time investment ÷ (net annual value ÷ 12)

Two things reviewers will push on. The realization rate is the share of saved minutes that turn into redeployed capacity or avoided cost; 100 percent is never credible, 40 to 70 percent usually is, and you should say which you picked and why. And keep run cost separate from one-time investment: run cost reduces net annual value, one-time investment is what the payback period recovers. If there is no one-time investment, report months of value needed to cover a year of run cost instead: 12 × run cost ÷ value.

Risks and mitigations

Risk Likelihood Impact Mitigation
Policy hallucination Medium High RAG grounding + citation requirement + human review of edge cases
Low adoption Medium High Manager champions + embedded in existing workflow
Policy staleness High Medium Designated knowledge base owner + update SLA
Employee trust concerns Low Medium Transparency communication + easy human escalation

Go/no-go criteria What must be true for this to succeed? State these before you start.

Example: Clean policy documentation available in structured format; HRBP team committed to reviewing escalations within 2 hours; IT approval for API integration.