Customer-aware AI operations“The new version looks better on average. Is it safe for every customer?”
Ship AI changes without breaking a customer promise.
For AI support platforms, agent platforms and B2B copilots that serve many business customers. Synvolv checks every AI change against each customer before it ships, then gives your team the decision: who moves, who stays, who needs review, why, and the rollout to approve.
Private preview. Starts in shadow mode: nothing changes in production until you approve it.
Connect with what you already run
- GitHub
- GitLab
- OpenTelemetry
- Anthropic
- Stripe
- Snowflake
- Postgres
- Braintrust
Customer-impact review
Your PR should know which customers it changes.
When a pull request changes a model, prompt, tool or policy, Synvolv maps it to the customers it can affect, replays representative production scenarios in shadow, and checks each one against its contract, plan and policies. It posts a verdict for every customer and drafts the release plan a person approves.
- A pull request changes the model.
- Synvolv reviews it customer by customer.
- Tag @synvolv in the pull request.
- Synvolv drafts the release plan. A person approves it.
- The canary starts for the 27 accounts it is safe for.
Your customers aren’t averages
One change. A different answer for every customer.
The eval board says ship: quality +0.8 pt, cost −28%, latency −14%. That is the average customer. The same update can be right for one customer and wrong for the next, so Synvolv checks each one before anything ships, and tells you what to do with each.
The change
Support agent v17
GPT-5 → Claude Sonnet 5
- AcmeShip itBetter and cheaper on their traffic
- Meridian HealthHoldTheir BAA covers Azure OpenAI only
- VelaCheck firstNot enough evidence it works for them
- MonarchShip with a capAlready past their included credits
Three checks decide it, for every customer: Does it work? Is it permitted? Does the account stay healthy?
Today that answer is pieced together by hand from GitHub, traces, evals, Sales, Legal and Finance. Synvolv keeps each customer’s contract, plan, entitlements and policies as one versioned record, so the check runs before the change ships, not after an escalation.
Release by customer
“Roll it out to 5%.” 5% of whom?
A percentage rollout tells you how much traffic to move. It does not tell you which customers should be inside that traffic. Synvolv resolves the eligible customers first, a person approves the plan, and if one customer regresses, only that customer rolls back.
- Say what you want to release, in plain language.
- Synvolv resolves who is eligible, who is not, and why.
- Nothing reaches production until a person approves the plan.
- The canary runs for eligible customers only.
- One customer regresses. That customer rolls back. The rest continue.
Ask Synvolv, in Slack
Ask the question you already have.
Your team should not need to know which dashboard holds the answer, or wait for the one person who does. Questions about a customer, a cost or a release get answered in the thread where the work is already being discussed, from the same customer context the release decisions use.
- Tag @Synvolv in the channel where the work is discussed.
- It answers from your connected systems, and shows its sources.
- A different question gets a different answer.
- Every answer ends in something you can do next.
Customer cost-to-serve
Know what every customer costs you to serve — and what made them expensive.
Your provider invoice tells you what you spent. A token chart tells you usage grew. Neither tells you why one customer stopped making economic sense. Synvolv connects cost back to the customer, the workflow, the agent version, the tool behavior and the release.
- Find the customers below your margin target.
- See what made one of them expensive.
- Compare what each option does to the margin.
- Pick one. Nothing changes until someone approves it.
With Synvolv Gateway, customer-level limits can be enforced before execution, not discovered after the invoice arrives.
Shadow mode
See what Synvolv would decide before it can touch anything.
Shadow mode is read-only. Synvolv reads a copy of what production already does, replays your next change against it, and shows which customers would move, which would stay, and why. Nothing changes for your users until you approve it.
- Read and write are separate. Observe in shadow mode with read-only access. Grant production-action permissions only when the team is ready.
- Customer content is opt-in. Use metadata-only collection, redaction, existing evaluation results, or customer-hosted evaluation.
- Every action is previewable. Requests become typed plans with exact scope, thresholds, approvers, execution method, and rollback path.
Start with answers. Add control after the answers earn your trust: shadow mode first, then approved actions, then Synvolv Gateway where exact request-time control is worth it.
Find out who it changes before your customers do.
Start with the change your team is already debating. An engineer reviews it against about seven days of your traces.
It starts read-only, in shadow mode. Nothing changes in production until a person approves.
