No-OAuth AI workflow margin diagnostic

Find which AI workflows are quietly losing money before another billing cycle closes

This is for AI SaaS and agent teams with rising token spend, unclear cost per completed workflow, weak budget guardrails, or drift between usage, billing, and product access. First pass uses redacted exports, screenshots, and notes, not API keys or production access.

Buy the $49 audit Get the $199 action pack Stripe AI billing gap Workflow-cost version Use the free checklist See a sample report Submit safe intake

The ugly number

Most teams know monthly AI spend. Fewer know cost per successful workflow, retry-heavy workflow, or workflow that never should have kept running. That is where flat pricing breaks: one loop, one power user, or one revoke bug can erase the margin of many normal users.

For AI SaaS

Fixed or hybrid pricing, usage-based LLM costs, and unclear margin by user, workflow, or plan.

For agent teams

Multi-step chains with retries, tool calls, memory, long context, file parsing, browser actions, or fragile stop conditions.

For automation operators

Client or internal workflows where one bad prompt, retry loop, or stale entitlement state can turn a profitable contract into a loss.

What we check

  • Cost per completed workflow, not only cost per token.
  • Top expensive prompts, traces, users, workflows, and task types.
  • Retries, tool-call loops, oversized context, and memory injection.
  • Model routing mismatch: expensive models on cheap tasks.
  • Hard-stop vs soft-warning guardrails.
  • Billing, entitlement, and revoke-state drift where relevant.

What you get

  • Executive verdict: healthy, underwater, or unknown.
  • Top 3 workflow leaks and the fastest fixes.
  • Budget-guardrail decision table: hard stop, soft warn, reconcile later.
  • Pricing, cap, and margin warnings.
  • Instrumentation checklist for the next 48 hours.

What this catches fast

  • A workflow that completes rarely but spends heavily on retries.
  • Cheap-tier users routed through premium models by default.
  • Tasks that look profitable in revenue but fail on gross margin.
  • Soft budgets that warn but do not actually stop overnight burn.
  • Usage or access state that drifts after budget limits are hit.

Why this is not another AI cost dashboard

  • This starts from outcome cost, not raw token totals.
  • This gives a short decision report, not a vague observability setup.
  • This works from redacted evidence before any integration work.
  • If the data does not show a leak, the report says that directly.

Action pack

$199

Audit plus workflow ledger schema, routing, caching, guardrail map, and billing/entitlement reconciliation checklist.

Get the $199 action pack

Safe intake

After checkout, submit a redacted intake issue so the audit can start without sharing secrets or waiting for account access.

  • Last 7-30 days usage screenshot or CSV.
  • Top 3 paid workflows or job types.
  • Pricing model, included limits, and budget rules.
  • Example expensive trace, failed run, or retry loop.
  • No API keys.
  • No passwords.
  • No customer personal data.
  • No unrestricted production access.
Open the safe intake form