CHATGPT BUSINESS + TRUSTHOUSE

ChatGPT Business secures a workspace. Your AI risk doesn't live in one.

ChatGPT Business gives teams fast, useful AI with sensible admin basics. The moment ChatGPT connects to your systems, feeds a workflow, or sits next to three other models, you need trust controls that no single vendor's workspace can provide.

WHAT YOU GET

A good team workspace.

OpenAI's published Business plan includes:

SAML SSO and MFACentralized admin and billingUsage analytics and spend controlsConnectors to Google Workspace, Slack, GitHub and Microsoft 365No training on your business data by default

For getting a team productive quickly, it works.

WHERE IT STOPS

Built for teams. Regulated enterprises need more.

TrustHouse

OpenAI workspace

ChatGPT Business admin controls

Claude agentsBedrock workloadsIn-house agentsSystems of record

Several enterprise controls sit a tier up.

OpenAI reserves SCIM provisioning and admin-controlled data retention for its Enterprise tier.

Controls end at OpenAI's boundary.

Your Claude, Bedrock and in-house agents are covered somewhere else, or not at all.

Connected isn't verified.

Connectors respect existing permissions. They don't check that the data is accurate, current, or the definition your business certified.

A conversation isn't a decision record.

You can see what was typed. You can't show which data, which policy and which risk check produced a business outcome.

WHAT TRUSTHOUSE ADDS

One trust layer across every model you use.

Model-agnostic policy enforcement

One policy layer across OpenAI, Anthropic, open-weight and internal agents. The same control plane routes across all of them.

Shadow AI discovery

Find the agents and integrations teams deployed without approval, and bring them under policy.

Context Engine and Data Integrity

Answers grounded in verified data and certified definitions.

Decision Provenance

Every AI decision traceable from data to outcome.

Your perimeter

Runs inside your VPC, with no new place for your data to go.

Side by side

SAML SSO and MFA

Uses your existing identity controls

SCIM provisioning

Works with your identity provider

Admin-controlled data retention

Data stays in your VPC

Models covered

Any model or agent

Data verified before AI uses it

Data Integrity

Risk scoring before a decision executes

AI Risk Engine

Decision provenance

Replayable decision trace

UPGRADE OR ADD A LAYER?

ChatGPT Enterprise adds workspace controls. It still covers one vendor.

SCIM provisioningOpen
Admin-controlled data retentionOpen
Claude agentsOpen
Bedrock workloadsOpen
Data verified before AI uses itOpen
Risk scoring before executionOpen
Decision provenanceOpen

Moving to ChatGPT Enterprise closes some of the admin gaps above. It doesn't cover your Claude agents, your Bedrock workloads, or the decisions that run through them. TrustHouse covers all of them, whichever ChatGPT tier you choose.

Questions

No. Keep the tools your teams like. TrustHouse controls the AI estate around them.

Yes. TrustHouse is model-agnostic and works with OpenAI interfaces alongside Claude and open-weight models.

If ChatGPT only drafts emails, maybe. If AI touches customer data, regulated decisions or production systems, you need a decision record. That's what TrustHouse provides.

Your AI Is Making Decisions Right Now.
Can You Defend Them?