AI is everywhere except your P&L.
See what every feature costs in AI dollars, and cap it before the bill lands.
22%
of finance leaders can tie AI spend to business results.
87% say they need that ability within a year.
CloudZero (opens in a new tab) · Jun 2026
37%
of the time AI saves employees is lost to fixing its output.
Saved an hour? Spent 22 minutes fixing it.
Workday (opens in a new tab) · Jan 2026
50%+
of regular AI users don't reinvest the time they save into more strategic work.
Time saved leaks out. Where's it going?
BCG (opens in a new tab) · Jun 2026
13.3%
of classified enterprise AI minutes are personal use.
Nearly half of that personal use is on enterprise plans.
Harmonic Security (opens in a new tab) · May 2026
Questions managers already ask
Plain answers to the questions finance and risk already ask, in the record they expect to be shown.
What did feature X cost in AI dollars this sprint?
Feature Costing turns tokens into dollars per epic and per PR, attributed to the project that spent them, not to the month the invoice landed in.
Who used which model, on which repo?
Model Lock pins allow-lists per team, branch or feature. Dev leads move fast inside policy; org policy stays intact.
Where is the hard stop, not next month’s invoice?
Hard caps per organisation and per team, with auto-stop at 100% of the cap, enforced in the request path, before the provider is called.
Are our tokens actually going to our projects?
Every request is stamped to a repo, branch and PR. You can see which projects consumed tokens, which went quiet, and which are burning budget on work nobody asked for.
Where do the keys live?
In a BYOK vault. Keys never sit in an IDE or a .env file, and nothing on the developer plane can read them back.
Can we audit every request?
An append-only log of every request, attributed to a person, a model and a PR, exportable for finance and risk.
Accountability for every token
Feature Costing turns tokens into dollars per PR and per feature: $5/seat on Pro and Team, included with Enterprise.
| Team / member | Primary model | Tokens today | Cost MTD | Budget limit | PR attribution |
|---|---|---|---|---|---|
| Platform Eng / Sarah C. | Claude 3.7 Sonnet | 4.2M tokens | $62.80 | 78% | PR #1042 (Search Vector Engine) |
| Core App / Liam K. | GPT-4o | 1.8M tokens | $28.40 | 28% | PR #988 (Auth Migration) |
| Data Ops / Elena R. | Claude 3.5 Haiku | 8.9M tokens | $14.10 | 14% | PR #1105 (ETL Pipeline) |
| AI Research / Alex M. | DeepSeek R1 (Bedrock) | 12.4M tokens | $89.50 | 89% | PR #1099 (Autonomous Agents) |
Controls managers need. Speed developers won't fight.
Practical controls first: vaulted keys, hard budget stops, Model Lock, and an audit trail on every request.
Why not a frankenstack, a gateway, or Copilot alone?
Three adjacent answers to governing AI spend, and what each one still leaves you to build yourself.
| Attribute | Status quoDIY frankenstackScattered keys in local .env files, bespoke proxies, and zero team visibility until the cloud bill arrives. | Closed ecosystemGitHub CopilotA fixed per-seat fee, but no model control, no BYOK rates, and no per-request audit trail. | Adjacent categoryAI gatewayRouting, retries and token observability: things gateways already do well. Not IDE governance, not dollars per feature, and not model policy per branch. | Built for AI engineeringProxDeckBring any provider keys. Least-cost routing. VS Code governed in one install. An audit trail on every request. |
|---|---|---|---|---|
| Provider lock-in | High: hardcoded vendor SDKs | Total: OpenAI / Azure only | Low: multi-provider by design | Zero: full BYOK and failover |
| Key security | Poor: keys on dev laptops | Managed: custom keys refused | Vaulted, server-side | Vaulted server-side, never on a laptop |
| Auto routing | None: manual model swapping | Black box, vendor controlled | Cost and latency aware | Deterministic and cost-optimised |
| Hard budgets | None: post-hoc invoicing | Fixed seats only, no token caps | Spend caps on keys and orgs | Real-time, per user, team and PR |
| Token attribution | Impossible | Org aggregate only | Request level, not PR level | Commit and PR-level tags |
| Setup time | Months of ongoing engineering | Fast, but not customisable | Fast, but you own the integration | One install, then governed |
| Verdict | High risk · high opex | Opaque · per-seat only | Routes tokens · not features | Budget-capped · transparent |
See the controls in place.
See Feature Costing, Model Lock, vault and audit in one session.
Prefer the engineering view? Developers · Back to overview