Solutions

Start from your role.

Each role asks a different first question. These pages start from that question, show the screen that answers it, and list what to ask in a demo.

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Finance

One answer to what the company spends on AI, by team, before the invoice.

  • A single ledger across connected vendors, attributed to team, project and tag
  • Forecast to budget, with caps and alerts that warn the owner early
  • Chargeback export with a ledger code on every row

Questions to ask in a demo

  • Which spend do you see today, and which stays outside the ledger?
  • What happens when a cap is reached?
  • How does the export reach our finance system?

AI FinOps →

app.synapbridge.com/insights/finopsSample data
FinOps attribution matrix with ledger codes.
app.synapbridge.com/governanceSample data
Governance overview with weighted pillars and ranked next steps.

Security and risk

Policy that runs on the request, and evidence that it ran.

  • Sensitive-data checks, injection screening, model entitlements and content policy on each request
  • Residency routing where a policy is active (Beta)
  • Audit records with the policy version, searchable and streamed to your SIEM (Beta)

Questions to ask in a demo

  • What does detection cover, and what does it not?
  • How is each customer kept apart?
  • What is verified, in progress and planned today?

Governance →

IT and platform

Roll AI out company-wide without choosing one model vendor.

  • Compare and switch models without a new tool for each
  • Single sign-on and provisioning through your identity provider (Beta)
  • Bring your own provider keys, so contracts and discounts stay yours

Questions to ask in a demo

  • How do we roll out by team?
  • Which providers and identity systems are tested today?
  • What does a pilot need from us?

Integrations →

app.synapbridge.com/chatSample data
Compare view with model panes answering the same prompt.
app.synapbridge.com/approvalsSample data
Approvals queue with approve, deny and reassign controls.

AI and governance leads

Every AI use has an owner and a decision on record.

  • A use-case registry and two-person approvals (approvals in Beta)
  • Policies with owners and versions, a simulator for proposed rules, and a kill switch
  • Agent and tool-server registry, with an approval path (Beta)

Questions to ask in a demo

  • Who approves a new AI use or agent?
  • How do we test a policy before it takes effect?
  • How do we stop a use quickly?

Agents and MCP →

Owner of a growing company

Everyone gets the best AI for the job. You set a budget and a safety net.

Start on the free plan with your own keys, see your spend in one place, and add a spending limit when you are ready.

Not sure which role to start from?

Run the ten-question gap check and see where a control may be missing.

Take the gap checkBook a demo