For the Chief Financial Officer
Put a number on AI before month-end.
AI spend arrives as one opaque provider invoice, weeks late. Meilynx captures cost at the call and attributes it to the team, feature, and outcome that created it, with budgets and hard caps enforced inline while there's still time to act.
- chat-support$4.2k / $5k
- doc-summary$1.1k / $2k
- research$7.9k / $8k
hard caps enforced inline · before the spend happens
Spend without a denominator.
It's hard to govern a cost you only see in arrears, aggregated to a single vendor line with no owner.
- AI cost visible only weeks later, on a provider invoice.
- No attribution to the team, feature, or outcome behind it.
- No hard ceiling when a workload runs away.
- No link between spend and the value it produced.
Attribution at the data path.
The same inline position that governs AI also meters it, so cost is attributed in real time, not reconstructed.
- Per-team and per-project budgets, watched in one place.
- Hard cost caps enforced inline, before the spend happens.
- Automatic fallback to cheaper alternatives when limits are approached.
- Spend attributed to the feature and outcome it produced.
- Captured as metadata; raw prompts never leave your perimeter.
See AI cost by team, before the invoice
Walk through budgets, hard caps, and per-outcome attribution on real traffic.