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Product Runtime

Can we enforce a hard budget for one tenant without changing everyone else?

Your customers build agents on top of your infrastructure. Each tenant can have different models, tools, budgets, limits, policies, usage, outcomes, economics.

Enforced at 10:52. 213 still unchanged.

The tenant at the head

t-1290 GPT-5 · agent v12 · 3 tools

Budget
$900 / dayexhausted at 10:38
Share of today’s spend
31%of all 214 tenants
Agent steps
412in 90 minutes · 3 loops never closed
Tool calls
1,240the other 213 average 34

Limits applied · t-1290 only

  • Hard tenant budgetnone$900 / day
  • Tool-call limitnone6 per case
  • Agent-step limitnone12 per case
  • Loop protectionoffimmediate fallback

The other 213 tenants keep the models, tools, budgets, limits and policies they already had.

10:52 · enforced

Agent step 13 of 12 · refused

Stopped before the model was called. Fallback served in 40 ms. The overage never happened.

At 10:52 that tenant’s agent asks for a thirteenth step. It is refused before the model is called and the fallback is served instead, so the overage never happens rather than showing up on the invoice.

Questions Synvolv should answer

  • Which tenant is driving the cost spike?
  • Which customers should get this agent version?
  • Can we enforce a hard budget for one tenant without changing everyone else?

The rest of the loop

The same customer context that scopes the merge in customer impact — The verdict on every pull request sets the release — Eligible set, canary, per-customer rollback, enforces the runtime limits at request time, answers the questions in Ask Synvolv — Answers with the evidence behind them, prices each account in economics — What each customer costs to serve, and rides every call through the Gateway — In the request path, where it’s worth it.

One customer operating context. Six moments where it gets used.

Find out who it changes before your customers do.

Start with the change your team is already debating.

Bring any of theseA model migration.A prompt edit.A retrieval change.A new tool.A workflow update.A routing change.A customer-policy change.An AI-related pull request.

You do not have to trust Synvolv with production to see whether the answer is useful. Start in shadow. Add control when you are ready.

Bring your next change