AI is becoming a new form of labor.
Most companies can measure payroll. Most companies can measure software spend. Almost nobody can measure the economics of AI.
CogsLayer is the system of record for AI economics: spend, adoption, and unit economics across every employee, team, and tool.
| Team | Adoption | Spend |
|---|---|---|
Engineering 48 people | 94% adoption | $18,420 /month |
Support 26 people | 56% adoption | $9,810 /month |
Sales 31 people | 18% adoption | $6,240 /month |
The shift
Every company now has three forms of labor.
Human labor. Software. And now AI labor. Only one of them lacks a financial operating system. We're building it.
Human labor
Payroll · HRIS
Every company can tell you headcount, cost per employee, and where the team is growing.
Software
SaaS spend management
Every company can tell you what they spend on tools, per seat, per department.
AI labor
No operating system, yet
Almost nobody can tell you AI spend per employee, adoption by team, or economics per customer.
The problem
The economics of AI are invisible.
AI is the fastest-growing line item on your P&L and the least understood. You can see payroll per person and software per seat, but not who uses AI, how much it costs, or what value it returns.
Without CogsLayer
With CogsLayer
Who it's for
One platform. Every stakeholder.
CogsLayer gives Finance, Engineering, and Leadership the same numbers, each in the view they actually need.
Leadership & Finance
The economics of AI in one place: spend per employee, per customer, and per revenue dollar, plus benchmarks that show how your investment compares to peers.
Engineering Leaders
See which teams and tools are adopting AI and what it costs. Track spend per engineer, set budgets, and direct investment where it creates the most value.
Developers & ML teams
Optional SDK for per-call, per-agent attribution down to the request. Two lines of code, zero added latency. Use it or skip it.
The platform
Understand. Measure. Benchmark. Allocate.
One shared source of truth for AI economics, from the person who runs a prompt to the line on the P&L.
See who's actually using AI, and who isn't.
Adoption is the leading indicator of AI value. CogsLayer shows the share of employees using AI, daily and weekly active users, and how adoption is trending across every team.
The first real AI economics metrics.
Move past a single invoice number. CogsLayer turns raw spend into the unit economics leadership actually needs: per employee, per customer, per revenue dollar.
Know if you're spending too much, or too little.
A number means nothing without context. CogsLayer benchmarks your AI investment against peers so you can tell whether you're under-investing or overspending.
Put AI budget where it creates value.
Visibility first, then decisions. Direct AI budget toward the teams and tools driving adoption and value, with chargeback and alerts so spend never runs ahead of you.
The dashboard
Not just token costs.
See your entire AI economy, down to the person, up to the benchmark, and everything between.
You may be under-investing in AI relative to peers.
How it works
Connect. Attribute. Reduce.
From API key to first insight in under 10 minutes. No engineering project required.
Connect in minutes, not months
Paste your provider API keys and CogsLayer starts reconciling billed costs immediately. No data pipeline, no DNS changes, no routing your traffic through a proxy.
Map cost to your business
Attribute spend to features, teams, customers, and environments. Finance gets chargeback. Engineering gets cost-per-feature. Leadership gets a single dashboard.
Cut cost, and prove it
CogsLayer flags waste and suggests fixes with expected savings. Every dollar saved is tracked in a ledger so you can report ROI to the board or CFO with confidence.
Engineering team? See the SDK docs →
One dashboard, every provider
Every AI vendor, reconciled.
Connect provider API keys and see billed costs in minutes. New providers added every month.
Today CogsLayer reconciles billed costs for OpenAI, Anthropic, Cursor, and Claude Code. Other providers are on the near-term roadmap. Ping us if one is blocking your evaluation.
Your ROI
Calculate your savings.
Most teams find 20-40% savings from model optimization, waste elimination, and caching opportunities in the first 30 days.
Estimated monthly savings
$7,750
Annual savings
$93,000
ROI
830%
CogsLayer pays for itself in 39 days
Book a demoPricing
Annual plans for serious AI spend.
Paid upfront, priced against monthly AI spend. Start with a 14-day AI cost review and prove savings before rollout.
Starter
For teams with under $25K/mo in AI spend
Annual AI cost control plan. Founder-led onboarding, attribution, alerts, and savings proof.
Design-partner rate · paid upfront · locked in 24 months
Scale
For teams with $25K-$150K/mo in AI spend
For finance-led rollouts. Deeper attribution, savings recommendations, GL write-back, and quarterly reviews.
Enterprise
For $150K+/mo spend or compliance requirements
For procurement-gated buyers. Compliance, SSO, VPC, dedicated success, and custom commercial terms.
Attribution and alerts in every plan. Savings, integrations, and compliance scale with annual spend.
Security & Compliance
Built for the security review.
CogsLayer is read-only by design. Your API keys are encrypted at rest, and your prompts are never seen. SOC 2, SSO, and VPC options are on the Enterprise roadmap.
Encrypted at rest
Provider credentials are encrypted (Fernet symmetric encryption) before storage. No plain-text keys, ever.
Read-only access
CogsLayer only reads billing and usage endpoints. Your keys cannot create resources, modify data, or access content.
Never sees your prompts
We never read prompts, completions, or any request content. Only cost and usage metadata, by design.
The long-term vision
The next decade will see trillions invested into AI.
As AI becomes a core part of how companies operate, every leadership team will have to answer the same questions.
CogsLayer helps organizations understand and manage the economics of AI. It starts with visibility today and becomes the system of record for AI capital allocation over time.
FAQ
Questions, answered.
See your AI economics.
Spend, adoption, and benchmarks across every employee, team, and tool. Finance, engineering, and leadership on the same numbers. Live in under 10 minutes.