Use case · AI products

Cheaper AI calls don't matter if the job still fails

An autonomous agent may have perfect syntax and still violate your product rules. Each failure triggers retries, customer support, manual correction or financial loss. GitMir helps agents act from a common understanding of the product and its constraints.

Worked workflow: a disputed subscription invoice

Without sufficient business context, the support agent makes an incorrect billing promise. With product-aware context, it checks plan eligibility, invoice status, charge state and permissions before preparing the next action. It routes a disputed refund to approval rather than fabricating a policy.

Illustrative workflow — no customer data

Workflow: A customer disputes a subscription invoice

  • Plan eligibility, invoice status, charge state, permissions — checked
  • Agent decision — prepares the next action from the rules
  • Completed, or escalated to approval
Rule trace
Checked first
Plan eligibility, invoice status, charge state and the agent's permissions.
Disputed refund
Routed to approval rather than answered with an invented policy.
What is measured
Successful completions, escalations per 100 cases and human corrections.
Privacy
The example uses no private customer data.

What to measure

  • Successful completion rate
  • Cost per successful completion
  • Escalations per 100 cases
  • Invalid actions blocked
  • p95 latency
  • Human corrections
  • Customer-impacting incidents

Products in this workflow

Illustrative economics

Modelled target

50,000 cases a month at $0.60 combined model and retry cost is $30,000 of spend. Reducing the cost per completed case by $0.15 would free $7,500 a month, assuming completion quality is maintained. This is illustrative; measure your workflow.

Assumptions
  • 50,000 cases a month
  • $0.60 combined model and retry cost per case
  • $0.15 lower cost per completed case
  • Completion quality maintained

Evidence and its limits

Compare cost per completed task

Measure the outcome, not just the prompt.