Short answer
An AI value case on ServiceNow holds up when it starts from a baseline your finance partner signs, counts assists as a cost, and keeps hard savings apart from capacity freed. Vendor studies help as context. They aren't your number. Add a stopping rule for each use, so value that doesn't arrive gets switched off.
Last reviewed Nov 2, 2026
The four lines
| Line | Unit | Source |
|---|---|---|
| Volume removed | Tickets, by intent | Your workflow data |
| Capacity freed | Hours, FTE | Volume × handle time |
| Hard savings | Vendor fees, hires avoided | Contracts, finance |
| AI cost | Assists, plus licenses | Your pool, your order form |
Context, not evidence
The Hackett Group (Mar 24, 2026) found 72% of GBS leaders cite a gap between expected and actual AI benefits. Forrester's study of ServiceNow HR Service Delivery (Feb 2024), commissioned by ServiceNow, models 259% ROI for a composite organization. Name the sponsor when you quote a study.
Our own figures
McDonald's and Tricon Energy: ~40% reduction in L1–L4 tickets through deflection. That's a ticket figure. Turning it into money needs your contracts and your finance partner.
The Platform Value Scan produces the baseline and a one-page money map by tower.
GCC Now™ is the ServiceNow Accelerator by ANSR × inMorphis, a joint venture for global capability centers (GCCs) and GBS organizations.