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AI Service Broker Framework — AI Should Be Free

Teams / ops / admin controls landing page

Control AI Usage Across Teams, Projects, and Providers

AISBF is not just a developer integration layer. It is also the operational control plane for teams that need quotas, analytics, multi-user governance, and routing rules across a messy AI provider stack.

If your problem is no longer "how do we call a model?" but "how do we run this sanely across users, budgets, and environments?" this is the AISBF page for you.

Start Free See the €2 Pro test plan

Why ops-minded teams care about AISBF

Quotas and rate limits

Set practical controls for TPM, TPH, TPD, user-level limits, and provider-level guardrails before usage becomes chaos.

Analytics and visibility

Track consumption, usage patterns, model choice, and cost pressure across users, projects, and providers.

Multi-user operations

Support teams, customers, or internal departments with clearer separation, activity visibility, and per-user operational controls.

Routing governance

Decide which users, workloads, or environments are allowed to hit which models and providers instead of letting every caller improvise.

The operational problem AISBF solves

Without AISBF

  • AI usage spreads across ad hoc keys and provider dashboards
  • no shared quota model across teams
  • limited visibility into who used what and why
  • routing rules live in random app code
  • provider drift turns into governance drift

With AISBF

  • one control plane in front of multiple providers
  • centralized quotas, rate limits, and activity tracking
  • clearer governance around model and provider usage
  • more predictable cost and policy enforcement
  • a cleaner path from prototype to production operations

What teams can govern through AISBF

Per-user usage boundaries

Keep one noisy user, app, or workflow from eating the whole budget or degrading service for everyone else.

Provider routing policy

Send some traffic to cheaper models, some to higher-quality models, and some to local/private infrastructure on purpose.

Environment-aware operations

Separate experimentation, internal tooling, customer workloads, and sensitive traffic with saner operational boundaries.

Spend and reliability posture

Balance cost, speed, and resilience with routing and fallback logic that does not depend on every app team reinventing it.

Good fit for

Internal AI platforms

You are building one AI layer for multiple teams and want governance before the blast radius gets bigger.

Agencies and multi-client operators

You need per-client visibility and boundaries instead of a pile of raw provider keys.

Startups moving past prototype mode

You already proved the AI feature matters and now you need production controls, not more heroic glue code.

Privacy-aware ops teams

You want governance over not just spend, but also where model traffic is allowed to go.

Hosted if you want speed, self-hosted if you want deeper control

AISBF can be the hosted operational layer you adopt quickly, or the self-hosted control plane you run yourself when policy, infra, or privacy demands it.

And during the testing period, the hosted path is intentionally cheap for early adopters:

Unlimited Pro for €2/month during testing.

Claim the €2 Pro test plan See privacy/self-host options

Use AISBF when AI usage needs governance, not just access

The pitch for teams is simple: centralize control, reduce provider sprawl, and make AI operations less chaotic.

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