Prove your AI tools are worth it.
With a number your CFO can’t argue with.
Your AI seats renew whether you measure them or not. AgentLens measures whether Cursor, Copilot, Windsurf, Codex, and Claude Code are actually shipping value — then benchmarks your team against 100+ engineering orgs your size. Install a GitHub App, see your data in 10 minutes.
AgentLens
AI ROI · Q2 2026
6-week AI adoption
+30 pts ↑AI Tool ROI · Q2 2026
Live dataReturn on investment
↑ from 4.1× last quarter
Commits analyzed this quarter
4,821 commits · 18 repos
You approved the spend. Now you have to defend it.
The only number you have on $200K of AI seats is Copilot’s acceptance rate — and you already know it’s meaningless. Accepting a suggestion isn’t the same as shipping value, and your CFO is going to ask anyway.
Cut the tool and you might be slowing the team down. Keep it and you might be lighting money on fire. Right now you’re guessing in front of the board.
Every vendor dashboard measures their tool in isolation. None tell you: is your org actually faster — and faster compared to whom?
Every renewal you auto-sign without this data is a bet you don’t have to make.
Copilot Dashboard
vendor viewLast 28 days · 847 suggestions
The mechanism — no black boxes
How we know what AI actually wrote
No SDK. No agent. No code instrumentation. We read signals already in your Git history.
Connect
Install the AgentLens GitHub App and authorize the official Copilot Metrics API. Two clicks. We pull commit metadata and delivery metrics — never your source code, diffs, or commit message contents. First data lands in ~10 minutes.
Detect — two paths, never averaged
Explicit (High): Co-Authored-By trailers + official Copilot API — 95%+ accurate. Heuristic (Medium/Low): statistical signals for tools that leave no trace. We never blend an explicit signal with a guess.
commit 3f9a1c2
Author: Priya Nair
Co-Authored-By: Claude
→ Claude Code · High confidence
commit 8b2e4f1…
→ heuristic · Medium confidence
Benchmark & export
We aggregate your metrics, strip every identifier, and place your team against 100+ orgs your size. Export a board-ready PDF ROI report in one click.
100+ orgs · same headcount + stack
Early access results
What one team found in 30 days
65-person Series B fintech eng org · London
Installed Nov 2025 · 30-day snapshot
Stack: Cursor + Claude Code + Copilot
+312 hrs
reclaimed / mo
$58,400
value of time / mo
6.3×
ROI on AI spend
“42nd percentile for cycle-time improvement — adopting fast, not converting to speed. That’s the kind of insight that changes your Q3 planning conversation.”
Key insight from AgentLens benchmark · first 30 days
anonymised · name + employer changed · results will vary
Want to see your org’s number? Book a 15-min demo →
I walked into Q3 planning with the AgentLens ROI export and the benchmark percentile. It was the first time the AI conversation wasn’t a debate — it was a number.
VP Engineering
Series B fintech · ~120 engineers
Built by engineers who ran platform teams. Backed by capital that lets us do this right.
0+
commits analyzed / mo
0
orgs in benchmark cohort
0.0×
avg measured ROI
<0 min
median time to first data
Dashboard preview
The four numbers your CFO actually asked for
Same engineers measured against their own pre-AI baseline — not a vendor’s cherry-picked cohort.
Time reclaimed
+312 hrs/mo
vs. pre-AI baseline
Value of time
$58,400/mo
at $187/eng·hr loaded
Tool spend
$9,200/mo
all AI seats
ROI
6.3×
↑ from 4.1× last quarter
Cycle time · AI-assisted vs. non-AI PRs
Days from first commit to merge · last 6 months
Tool breakdown
| Tool | Adoption | Confidence |
|---|---|---|
| Claude Code | 68% | High |
| Copilot | 22% | High |
| Cursor | 41% | Medium |
| Windsurf | 10% | Medium |
| Codex | 6% | Medium |
The moat — no competitor gives you this
“Are we good, or just busy?”
Now you’ll know.
Your tools tell you what you did. AgentLens tells you how that compares to 100+ engineering orgs of your size — anonymously, both directions.
Example insight
“Your team ships AI-assisted code at the 73rd percentile for companies your size — but your cycle-time gains are only 42nd percentile. You’re adopting fast; you’re not yet converting adoption into speed.”
That’s actionable. Not a vanity number.
AI adoption distribution · 100+ engineering orgs · similar headcount
73 of every 100 comparable engineering orgs have lower AI adoption than yours.
Aggregate-only.
We anonymize before anything enters the benchmark. Zero customer identifiers. Ever.
Both directions.
You're a row in everyone's benchmark. That's why the dataset is worth something.
Sized cohorts.
Compared to orgs your headcount and stack. Not a 5-person startup or a FAANG.
ROI calculator
What is your AI spend actually worth?
Rough estimate — AgentLens replaces this with measured data from your actual Git history.
↑ Industry avg — AgentLens replaces this with your measured data
Your estimate
AgentLens pays for itself in 1 day of value reclaimed.
This is a rough estimate. AgentLens replaces it with measured data from your actual Git history — and shows whether your ROI is above or below the 73rd percentile for orgs your size.
Pricing
Less than 1.5% of the AI spend you're already paying.
Your AI seats cost the same whether you measure them or not. AgentLens tells you if that spend is working — for a rounding error on the bill.
Starter
≤ 30 engineersKnow if your AI spend is working.
Billed $588/yr
Pays for itself finding 3 unused seats · free from there
What you're measuring
$2–5K/mo
in AI tool seats / mo
~1.5%
of that to measure it
↑ this much of your AI bill, to know if all of it is worth keeping
One wrong renewal = $30K wasted. AgentLens annual = $588.
- ✓Claude Code · Copilot · Cursor · Windsurf · Codex
- ✓Benchmark percentile vs 100+ orgs
- ✓Monthly board-ready PDF export
- ✓High / Medium / Low confidence labels
- ✓Team-level only (privacy-first default)
- ✓10-minute GitHub App install
14 days free · no card needed
Growth
≤ 100 engineersDefend the AI budget at the board level.
Billed $1,188/yr
Pays for itself finding 5 unused seats · free from there
What you're measuring
$8–18K/mo
in AI tool seats / mo
~1%
of that to measure it
↑ this much of your AI bill, to know if all of it is worth keeping
One wrong renewal = $100K wasted. AgentLens annual = $1,188.
- ✓Everything in Starter
- ✓Weekly Slack ROI digest
- ✓Admin-only team breakdowns
- ✓Quarterly benchmark cohort update
- ✓Trend comparisons quarter-over-quarter
- ✓Priority support + onboarding call
14 days free · no card needed
Scale
≤ 250 engineersFor orgs where the AI bill is a board-level line item.
Billed $2,628/yr
Pays for itself finding 11 unused seats · free from there
What you're measuring
$20–50K/mo
in AI tool seats / mo
~0.7%
of that to measure it
↑ this much of your AI bill, to know if all of it is worth keeping
One wrong renewal = $200K+ wasted. AgentLens annual = $2,628.
- ✓Everything in Growth
- ✓SSO + SAML
- ✓Audit log
- ✓Custom benchmark cohort filters
- ✓Dedicated customer success
- ✓SOC 2 report on request
14 days free · no card needed
250+ engineers? Let's build a custom plan.
SSO · audit logs · custom cohorts · dedicated CS · SOC 2 on request
Not convinced in 14 days? You owe us nothing.
Full data delete on cancel. No invoice. No awkward call to “review your options.”
FAQ
The questions a skeptical VP actually asks
Walk into Q3 planning with the answer, not a debate.
See your team’s AI ROI and your benchmark percentile against 100+ orgs. Source code never leaves your org.
No credit card · No SDK · Full data deletion on cancel