Industry Benchmarks
What the numbers
actually look like.
Spend patterns vary wildly by industry. Governance changes outcomes. Here's the data from 200+ teams so you can stop guessing.
$0
Avg monthly AI spend per company
0%
Avg overspend without governance
0%
Avg savings with Reins
Spend by Industry
Monthly AI agent spend
Median monthly spend across companies in each vertical. Fintech leads — compliance-heavy RAG pipelines and real-time fraud detection are expensive.
Cost Distribution
Where the money goes
Cost distribution by agent category. RAG/Search dominates because large context windows are the single most expensive pattern.
ROI by Industry
Governance pays for itself
Higher-spend industries see bigger absolute savings, but the payback period is short across the board.
Cost Drivers
Why the bill is so high
The top five cost drivers across all industries. Most are fixable with policies — model-choice rules alone cut 12% of total spend.
Global Distribution
Where AI agents run
Spend concentration by region. North America leads adoption, but APAC is growing fastest quarter-over-quarter.
12-Month Trends
The trajectory is clear
Agent spend rises every month. Overspend drops as governance adoption grows. These lines will cross — the question is when your team gets ahead of it.
AI Agent Spend ($K)
Overspend Rate (%)
Reins Adoption (%)
Effectiveness
Governance changes everything
Six numbers that show the difference between flying blind and having real-time spend controls.
Side by Side
Same budget. Different outcome.
A $35K/mo budget looks very different depending on whether governance is in place.
Without Reins
Monthly budget$35,000
Actual spend$119,000
Overspend340%
Alert timeEnd of month
Audit trailNone
Policy enforcementManual review
-70% cost
With Reins
Monthly budget$35,000
Actual spend$36,050
Overspend103%
Alert time2 seconds
Audit trailEvery transaction
Policy enforcementReal-time blocking
Methodology
How we got these numbers
Data Sources
Anonymized, aggregated transaction data from Reins customers and self-reported surveys from non-customers. No individual company data is exposed.
Sample Size
214 companies across 8 industries. Minimum 15 companies per industry vertical to ensure statistical reliability.
Time Period
May 2025 through April 2026 (12 months). Updated quarterly — next refresh: July 2026.
Statistical Method
Medians used throughout (not means) to reduce skew from outlier spenders. 95% confidence intervals available on request.
Limitations
Self-selection bias: Reins customers may be more cost-conscious. Survey respondents may underreport spend. We note both in our detailed methodology paper.
Availability
Full methodology paper with raw distributions available to Reins customers inside the dashboard. Contact sales for a pre-sales copy.
FAQ
Questions about the data
See where you stand.
Run the ROI calculator with your real numbers, or jump into the dashboard and set your first policy.