A one-time audit of
AI spend.
The P402 AI Spend Audit produces an AI Spend Accountability Report covering attribution, leakage, and evidence readiness across every AI provider your organization uses.
One engagement. No long-term commitment required to read the report.
Finance owns the AI cost without the AI attribution.
Provider invoices arrive monthly and aggregate every call. There is no department, no employee, no workflow, no vendor breakout. The AI Spend Audit fills that gap as a discrete engagement, before broader rollout.
- 01Connect read-only access to existing AI providers via P402.Existing OpenAI, Anthropic, Gemini, Bedrock, and OpenRouter integrations land in the same ledger. No code changes required beyond routing through P402 or posting meter-only events.
- 02Two-week metering window collects events under your owner taxonomy.Events are tagged with department, employee, workflow, vendor, customer, and budget identifiers from the taxonomy finance already uses. Metadata-only by default.
- 03P402 produces the AI Spend Accountability Report, with attribution, leakage, and evidence readiness sections.One delivered report. Attribution map, leakage report, retry and context waste, vendor concentration, privacy posture, evidence readiness, and policy gap analysis.
- 04Review the report. Decide whether to continue with Meter, Monitor, Control, Optimize, Receipts, or Prove. The audit stands on its own.You keep the report. Continuing with the metering layer is a separate decision. The audit produces a deliverable, not a multi-year commitment.
Meter economics, not content.
The audit defaults to metadata-only. Prompt content is not required to produce the report. Sensitive workflows can run under private gateway mode, where the inference stays in your environment and P402 records the economic event over a signed channel.
metadata_onlyOwner, cost, tokens, budget, policy, outcome, and evidence status. No prompts. No responses. Default.fingerprint_onlyAdds a hash fingerprint of prompt and response for dedup and replay protection. Content stays out.redacted_tracePrompt and response retained after a redaction pass for fields the tenant policy allows.private_gatewayYour environment hosts the inference, P402 records the economic event over a signed channel.full_traceOpt-in. Prompts and responses retained verbatim with the event. Requires explicit tenant policy.
Same metering layer, four shipped workflows.
Each vertical demo is a working surface on the same metering layer. Use them to see the event detail, ownership attribution, policy result, and evidence status against a concrete workflow.
Stop reconciling AI spend after the fact.
The audit delivers attribution at event time, not invoice time. Finance reads spend by department, workflow, model, vendor, and customer in one report, with outcome and evidence already attached.
Audit-grade evidence per AI call.
The report includes evidence readiness per workflow, with privacy mode, policy result, and receipt coverage on every event. Audit and legal can review the same record finance reports from.
What is included in the AI Spend Accountability Report?+
An attribution map across department, employee, workflow, model, vendor, and customer. A leakage report covering retry waste, context waste, and vendor concentration. An evidence readiness section covering policy result, privacy posture, and receipt coverage per workflow.
Is this a paid engagement?+
Yes, sold as an offer. See contact for scope and pricing. The audit stands on its own and does not require a longer-term commitment to read the report.
Does the audit require sharing prompts?+
No. The audit defaults to metadata-only. Owner, model, tokens, cost, budget, policy result, outcome, and evidence status are recorded. Prompt and response content stay out unless the tenant explicitly opts in.
How long is the metering window?+
Two weeks of live metering across connected providers. The window is enough to surface attribution, leakage patterns, and evidence gaps without committing to a longer engagement.
What providers are supported?+
OpenAI, Anthropic, Gemini, Bedrock, OpenRouter, and any HTTP-callable model. Calls land in one ledger under a consistent owner taxonomy. Direct provider integrations and routed integrations are both covered.
What happens after the audit?+
You keep the report. You decide whether to continue with Meter, Monitor, Control, Optimize, Receipts, or Prove. The same metering layer can stay running as a live ledger, or it can be turned off after delivery.
Get the report. Decide the next step.
The AI Spend Audit is a one-time engagement. The report stands on its own. Continuing with the metering layer is a separate decision after delivery.