Sample report

See what your AI Spend Audit delivers.

A sample 48-hour audit report showing AI spend leaks by provider, model, team, feature, and customer — then turning them into practical savings actions.

Monthly AI spend

$3,290

Estimated waste

$890/mo

Savings opportunity

27%

Report timeline

48h

Executive summary

AI spend is growing from missing attribution and routing guardrails.

This report highlights premium-model overuse, repeated context, and missing cost-per-customer visibility.

Recommended next move

Start with 7-day quick wins, then turn the audit into a live control plane.

Fix expensive routes, add attribution metadata, and enable budget alerts before expanding into optimizer and autopilot workflows.

Top cost leaks

Example findings customers receive

High priority

Premium model overuse

Impact
$420/month estimated waste
Evidence
Low-risk support requests are routed to expensive models.
Action
Move low-risk tickets to a cheaper default route.
Medium priority

Repeated long-context calls

Impact
$280/month estimated waste
Evidence
Repeated context appears in onboarding and assistant workflows.
Action
Add summarization, caching, and context trimming.
High priority

Missing customer margin visibility

Impact
High margin risk
Evidence
Usage is not grouped by customer or plan tier.
Action
Attach customer, plan, team, and feature metadata to AI usage.

Provider breakdown

ProviderSpendShareMain use
OpenAI$1,92058%Support
Anthropic$82025%Research
Google AI$36011%Internal tools
Other$1906%Experiments

7-day action plan

  1. 1Route low-risk support replies to a cheaper model.
  2. 2Add caching for repeated onboarding and FAQ contexts.
  3. 3Tag requests with feature, team, and customer metadata.
  4. 4Create budget alerts for daily spend spikes.

Next step

Turn this sample report into a real audit for your company.

Start with an AI Spend Audit to find leaks, measure margin risk, and get a practical action plan in 48 hours.