You're spending six figures on AI. You can't tell if it's working.
CogniSpend gives engineering and finance teams a single view of every AI dollar — API calls, Copilot seats, GPU time — tagged by team, workflow, and outcome. Track cost. Prove ROI. Cut what doesn't pay.
Used by engineering teams shipping AI agents in production
Total AI Spend
$0
Avg ROI
0x
Active Agents
0
Cost over time (30d)
Workflow ROI
| Workflow | Cost | ROI |
|---|---|---|
| Code Review | $12,400 | 4.1x |
| Doc Generation | $8,200 | 6.2x |
| Support Triage | $4,600 | 7.9x |
Powering AI cost intelligence at
The problem
AI spend is the new shadow IT
Teams are adopting AI tools fast. Finance is seeing the invoices. Nobody is connecting the dots.
No visibility into what you're actually spending
API charges from five providers, Copilot seat licenses, Cursor subscriptions, and a GPU cluster — all on separate invoices, none tagged to a team or project.
Can't answer 'is this worth it'
Your CFO asks whether the $80k in AI spend last quarter moved the needle. You have no attribution data, no outcome tracking, and no way to build the case.
Runaway costs with no early warning
A prompt change ships on a Friday. Token usage triples. You find out three weeks later when the invoice arrives.
No principled basis for model selection
gpt-4o, claude-3-5-sonnet, gemini-1.5-pro — you're picking based on vibes. You don't know which model costs 16x more per request for the same output quality on your actual workload.
How it works
Instrument once. Understand everything.
Instrument in minutes
Wrap your existing OpenAI, Anthropic, or Gemini client with our zero-dependency SDK — two lines of code, no latency added. Or point your agents at our transparent proxy without touching application code at all. Import historical spend from CSV for instant baseline.
import { wrapOpenAI } from "@cognispend/sdk";import OpenAI from "openai"; const openai = wrapOpenAI(new OpenAI(), { workflowId: "code-review", teamId: "platform",}); // All existing calls tracked automatically — no other changes.Attribute every dollar
Tag each AI call with a workflow, use case, team, and feature. Costs roll up across every dimension in real time. Track fixed costs — Copilot licenses, Cursor seats, self-hosted GPU — as infrastructure spend attributable to the same use cases.
Event attribution flow
Measure ROI, not just cost
Define what outcomes each AI workflow produces — PRs reviewed, tickets resolved, revenue attributed. CogniSpend calculates cost-per-outcome and ROI ratio per use case, updated live as events flow in. Finally, a number you can put in front of your CFO.
ROI Scorecard — Support Triage
0+
Tokens tracked
$0K
In cost savings identified
0%
Average ROI improvement
Know what your AI is costing. Know if it's worth it.
Set up in under ten minutes. No infrastructure changes required. Start with your existing OpenAI or Anthropic client.
Free plan available. No credit card required to start.