token intelligence
Your tokenstraced to outcomes.
Faros traces token consumption to what it delivers across your people, teams, and outcomes. So you know what's productive, what's wasteful, and what to fix.
The visibility to run AI effectively
Stop guessing where AI dollars are going
Get full visibility into token spend by team, tool, and time period. See how each team tracks against the budget baseline — and which ones are running well above or below it.
Find and plug inefficient token usage
Auto-classify every token by the quality of the session that consumed it. See which teams and tools are driving waste, and where the recovery opportunity is largest.
Route work to the most efficient model
Identify which tool-model pairings work best for each type of work. Build those routes into your practices and agent harnesses to cut frontier model costs.
Stop tokenmaxxing. Start outcome maxxing.
AI ROI
Token Economics
Budget Insights
Team Accountability
Task-to-Tool Matching
Security First
Trace token flow and act on it
Understand where AI spend is going and how fast it's growing
Tokens are a resource. Faros gives you the same visibility into AI spend that you have into headcount and infrastructure, plus a company baseline that makes outliers impossible to miss.
- See total token spend by team, tool, and model — in one place
- Track how spend is growing month over month, and where it's accelerating
- Benchmark every team against the company baseline to spot outliers early
- Give every team visibility into its own token budget and consumption so they can own it
Know which spend was efficient and which was waste
Uncover the patterns that turn a token from productive to wasteful. Faros classifies spend by how deliberately AI was used: whether the session was lean and purposeful or accumulated tokens through excessive iteration, weak prompting, and missed reuse patterns.
- Bucket tokens into productive, inefficient, or wasteful — each with a dollar figure
- Trend your efficiency ratio over time and see what's moving it
- Benchmark every team against the company average to find where to engage
ATTRIBUTION
AI spend mapped to the team and task
When every team can see exactly what they're spending, on which tools and models, and how it compares to their budget, they can manage it themselves. Leaders get the org-wide picture. Teams get the accountability layer they need to improve on their own.
- Track token spend and efficiency by team, measured against budget
- See who's on track, who's ahead, and who's underleveraging their allocation
- Know which tool works best for each task type so teams can route work deliberately and stop overpaying for capability they don't need
TOOLS AND MODELS
The right tool for the job. The right model for the cost.
Most organizations run multiple AI tools and multiple models with no systematic way to compare them. Faros supplies the data to consolidate, route, and spend cost-efficiently.
- Keep, scope, or cut verdicts for every tool
- Identify which model is most cost-efficient for each type of work your teams do
- Come to every vendor conversation knowing exactly what each tool produced
Not a usage meter. Engineering context that makes token data meaningful.
Managing AI spend requires more than a new dashboard. It requires knowing how to collect the right signal from every tool in your stack, map it to the teams and workflows behind it, benchmark it against what good looks like, and surface the right insight to each person who needs to act on it.
Engineering World Model
A single source of truth for engineering data that connects teams, tools, repos, and workflows at any scale.
Token Attribution Ledger
Every token is tied to the work it produced, the team that ran it, and the outcome it shipped.
Workflow optimization
All your engineering data is at your fingertips, so you can find the workflows worth fixing first.
Outcome maximization
Task-specific context and guardrails delivered directly into development workflows, so AI output is more accurate and cost-efficient.
No agent on the machine
No installs, no delays. Faros uses your AI coding agents' built-in telemetry, managed through central configuration.
Enterprise grade
SOC 2 Type II, ISO 27001, and GDPR compliant. Built for organizations where engineering data handling has no room for exceptions.
Easy to connect to tools and AI agents
Three outcome signals.
Eleven guardrail metrics.
One framework for running AI spend.
The field guide to measuring token efficiency covers every metric behind the decisions on this page — what each one tells you, and how to use it. Adoption, productivity, quality, and outcome metrics in one place.
Discover what your AI investment is really producing
See Token Intelligence in action.