By 2026, every engineering team, marketing team, legal team, and finance team is using AI. The monthly invoice from OpenAI, Anthropic, and Google is growing. Nobody can tell you which department drove it, which project it belongs to, or whether the model tier used was even necessary.
P402 Enterprise is the metering layer that makes AI spend auditable — down to the employee, the session, the token, and the model tier choice. And it generates optimization recommendations that cut 30–70% of model costs by routing tasks to the cheapest tier that meets the quality bar.
P402 Enterprise maintains a full attribution chain from the organization down to the individual token. Every LLM call is tagged at ingestion and attributed at billing.
Every LLM call priced at token granularity. Cost calculated at request time, not billing time. Model tier, token count, and USD cost recorded per request.
Full request trace: which employee, which session, which model, which prompt pattern, what output, what cost. Traceable from the monthly invoice back to the individual keystroke.
Real-time spend tracking across the hierarchy. Department dashboards, project burn rates, employee leaderboards. Budget consumption visible live, not at month-end.
Immutable session receipts: model used, tokens consumed, routing decision rationale, cost, timestamp, Tempo settlement hash. Exportable as JSON or PDF.
Every session produces an audit artifact: who did what with which AI, when, at what cost, with what output. SOC2, ISO 27001, and internal legal review ready.
Per-department routing policies. Engineering: quality-first for complex tasks. Marketing: cost-first for content generation. Legal: compliance-aware, minimum Claude Sonnet. Each policy enforced per request.
Gemini Pro analyzes 30 days of routing history and task-type similarity scores. Identifies where premium models are used on tasks that economy models handle equally well. Quantifies the savings before you act.
Budget projection engine: current velocity × remaining days = end-of-period forecast. Alert thresholds at 80% and 95% budget consumption. Projected overage surfaced 2 weeks early.
The optimization engine compares output quality scores across model tiers for each task type in your org. Where quality is equivalent, it routes to the cheaper model. The savings are projected before you commit to any routing change.
Each department gets a monthly budget in USD. When projected spend (current velocity × remaining days) exceeds 90% of the cap, the department head is notified. When the cap is reached, requests are blocked or downgraded to economy tier — configurable per policy.
Individual projects get their own sub-cap within the department budget. A client engagement can be capped at $50 regardless of the department's remaining budget. The cap is enforced at the session level before any LLM call is made.
Each department can set a minimum and maximum model tier. Legal: minimum claude-sonnet-4-5 (no economy models for contract work). Marketing: maximum claude-sonnet-4-5 (no premium models for copy). Enforced at routing time, not billed after the fact.
Session costs 3× above the employee's 30-day average are flagged automatically. An employee who suddenly runs $10 of LLM calls in one session triggers a Sentinel review. The session is not blocked — it is surfaced for review within 60 seconds.
The audit requirement is different in every industry. But the underlying need is the same: prove what the AI did, when, for whom, at what cost, with what output.
Org KPIs, department breakdown, employee leaderboard, model mix, budget projections, routing optimization panel, and session log — all wired and running with Acme Corp synthetic data. Connect your P402 API key to see real org spend.