This is a sample report. All company names, figures, and scores are fictional — modeled on real patterns from AI-mature Series C SaaS companies.
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AI Health Score Report · Q4 2025
Acme Corp
Series C SaaS · 340 employees · $38M ARR
Report generated: May 2026 · Period: Oct 1 – Dec 31, 2025
Series CSaaS340 employees⚠ Needs attention
67
/ 100
Needs attention
Executive Summary
✓
Engineering is compounding. 84% adoption, $520K/year estimated ROI. AI-assisted PRs merge 1.8 days faster. Expanding to the remaining 13 engineers is the lowest-risk investment on this report.
✗
$430K is underperforming or untracked. Support (62% inactive Copilot seats) and Sales (58% of Gong seats zero calls) represent $430K in annual spend with no measurable outcome.
→
Top action: seat audit in Sales and Support within 14 days. Reclaiming 40% of idle seats funds Engineering expansion and 3 pending Ops automations — both with proven, documented ROI.
ROI Summary
Total AI Spend
$1.2M
Annual across 5 disciplines
Tracked ROI
$770K
From active, measurable AI deployments
Untracked Spend
$430K
No measurable outcome tied to it
Top ROI Discipline
Engineering
$520K/yr · 78 score · 84% adoption
Cost Benchmarks — AI Call / Task
Tier
Cost per Call / Task
What It Means
Excellent
≤ $0.003 / call
AI is handling high-volume, low-complexity tasks efficiently. Your cost-per-outcome is optimized.
Concerning
$0.004 – $0.019 / call
Cost is elevated relative to task complexity. Review for over-deployment or underutilized seats.
Failing
≥ $0.020 / call
AI spend is not producing proportionate output. Immediate audit required — likely unused licenses or wrong use cases.
Discipline Breakdown
⚙️
Engineering
25% weight
↑ +6
78
● $0.004/call — Excellent
84%
Adoption
$0.004
Cost/Action
91%
Task Comp.
Est. annual ROI$520K
Next: License 13 unlicensed engineers. Payback under 8 weeks at current team average.
📈
Sales
20% weight
↓ −3
52
● $0.031/call — Failing
42%
Adoption
$0.031
Cost/Action
58%
Task Comp.
Est. annual ROI$94K
Next: 58% of Gong seats logged zero calls in Q4. Run 2-week enablement sprint or reclaim seats.
⚡
Operations
20% weight
↑ +2
71
● $0.003/call — Excellent
73%
Adoption
$0.003
Cost/Action
86%
Task Comp.
Est. annual ROI$260K
Next: Ship 3 pending automations (procurement, vendor onboarding, expense routing). All under 6-week payback.
🎧
Support
20% weight
↓ −8
44
● $0.058/call — Failing
38%
Adoption
$0.058
Cost/Action
41%
Task Comp.
Est. annual ROI$31K
Next: 62% of Copilot seats inactive. $84K/yr burning. Pilot AI-suggested reply deflection on top-5 categories before renewal.
📣
Marketing
15% weight
↑ +4
66
● $0.012/call — Concerning
69%
Adoption
$0.012
Cost/Action
79%
Task Comp.
Est. annual ROI$112K
Next: Tag AI-generated copy in analytics before Q1 campaigns. Can't prove lift without attribution.
The Bleeding — Worst ROI Areas
🩸
Support: Copilot seats inactive
Customer Support · 26 of 42 licensed seats
62% of Copilot seats logged zero interactions in Q4. No AI-suggested replies. No deflection. No measurable impact on ticket resolution time.
$84K/yr
burning with no attributed ROI
🩸
Sales: Gong deployed, not used
Sales · 34 of 58 licensed seats
Rolled out in Q3 with no enablement plan. 58% of reps never logged a call. Win-rate data is incomplete, coaching unused, deal intelligence generating zero value.
$146K/yr
burning with no attributed ROI
The Compounding — Highest ROI to Double Down
⚡
Engineering: Copilot at scale
Engineering · 71 of 84 engineers active
84% adoption. Median PR review time down 31%. AI-assisted PRs merge 1.8 days faster. Every sprint compounds the return. 13 unlicensed engineers remain — onboarding them is the lowest-risk investment on this sheet.
$68K/yr
additional value from full-team rollout
⚡
Ops: workflow automation flywheel
Operations · 5 live · 3 in design
Every automation has a measurable payback under 6 weeks. Procurement approval flow eliminated 6.5 hrs/week of manual work. Three additional automations are scoped with signed-off ROI estimates — not built yet.
$94K/yr
projected value from 3 pending automations
Recommended Next 90 Days
1
Support seat audit (Days 1–14). Identify the 26 inactive Copilot seats. Reclaim or reassign to active agents. Set a 30-day re-evaluation gate — any seat still idle gets dropped at renewal.
Support
2
Gong enablement sprint (Days 7–21). Mandate call logging for all AEs. Run weekly coaching reviews. Target 80% of seats with ≥2 calls/week within 30 days — or reclaim the seats.
Sales
3
Expand Copilot to remaining 13 Engineering seats (Days 1–30). ROI payback based on current team average is under 8 weeks. Budget funded by reclaimed Support seats.
Engineering
4
Ship 3 Ops automations in backlog (Days 15–60). Procurement approval, vendor onboarding, expense routing — all scoped with signed ROI estimates. Prioritize procurement first.
Ops
5
Tag AI-generated content in Marketing analytics (Days 30–60). Add UTM source tags and CMS flags before Q1 campaigns launch. Can't prove AI lift without proper attribution.