Authority outside the model.
Reasoning proposes. Independent policy decides whether an action may execute.
RIVT SYSTEMS / GOVERNED AI PARTICIPATIONPut AI to work across
Put AI to work across
your enterprise.
Govern every action.
AI-enabled enterprise middleware that connects your existing platforms and governs how your chosen AI co-workers act across them.
Discuss a blocked AI initiative →
Your systems. Your AI. Your authority.
REASONINGAUTHORITYEXECUTION
Connect your platforms.
Govern the access.
Choose your models. Keep enterprise authority.
YOUR AI CO-WORKERS
Your chosen AI.
Propose an action
LOCAL / CLOUD / MULTIPLE AGENTSAUTHORITY BOUNDARY
RiVT
01 Identity02 Role & permissions03 Policy & approval
ALLOW · DENY · APPROVALCONTROLLED EXECUTION
Your platforms.
Execute only when authorized
GOVERNED PLATFORM CAPABILITIESOne harness connects platform-to-platform. Multiple agents and models use governed capabilities with independent identity, role, permission, policy, and approval checks at action time.
Intelligence that can actually do the work.
Your chosen AI co-workers can use authorized capabilities across enterprise systems, collaborate with specialists, and propose the next action. RiVT provides the shared harness and independently governs execution through its controlled paths.
Investigate a customer issue across permitted records and service metrics, bring in specialist insight, and propose a resolution. Each action still requires its own authority.
Illustrative use case; available capabilities depend on supported connectors and platform APIs.
Independent control.
Evidence for each action.
Approval with a boundary.
Authorization binds to the exact action. Changed arguments and reused approvals are rejected.
Evidence after execution.
Auditable evidence links identity, policy, approval, and execution. The prototype uses signed, linked records.
Core behaviors demonstrated in the founder’s working prototype. Production hardening and customer validation are underway.
THE REQUEST / ILLUSTRATIVE FINANCE WORKFLOW
A payment needs preparing.
A finance colleague asks their AI coworker to review a vendor invoice and prepare the payment.
“Review invoice INV-2048 and prepare the $4,850 payment to the account ending 2241. Ask for approval before paying.”
The AI translates that request into proposed actions, starting with an invoice read. RiVT checks each action independently: reading may be allowed, payment requires exact-action approval, and unrelated or altered actions remain outside that authority.
The visualization also probes prohibited deletion, a changed amount, and replayed approval to illustrate the boundary.
THE AUTHORITY BOUNDARY / INTERACTIVE CONCEPT
75 SECOne action. Explicit authority.
Your AI can propose any action. RiVT independently determines which actions may execute.
Enforcement applies to actions routed through RiVT’s governed execution paths.
Illustrative product visualization. No live systems or money are involved.
01 / REASONING
The agent proposes.
“Prepare the invoice payment.”
PROPOSED ACTIONRead invoice
- Identity
- finance-agent-07
- Record
- INV-2048
02 / AUTHORITY
RiVT
- IdentityPending
- PolicyPending
- AuthorizationPending
03 / EXECUTION
Only what is authorized.
Nothing has executed.
EVIDENCE / NOT YET CREATEDThe proposed action must pass the authority boundary.
01 / 06
A model can propose an action. It cannot grant itself permission.
00:00 / 01:15
Read the sequence
- A model proposes reading an invoice. RiVT evaluates the action independently.
- Identity and policy permit the read. Only the authorized action executes.
- The agent proposes deleting a customer record. Policy denies it; execution stays blocked.
- A $4,850 payment to account ending 2241 requires approval. Approval binds to that exact action and is consumed once.
- Changing the amount to $8,450 fails the authorization match. Reusing the original approval fails because it was already consumed.
- The illustrated evidence trail records identity, policy, authorization, and execution with a signed trajectory.
Built for your environment.
Choose your models, systems, and use cases. RiVT is designed to give local and cloud AI co-workers governed access across enterprise platforms, with identities, roles, permissions, policies, and approvals controlled by your administrators.
Deployment is designed around your environment, with an initial appliance approach and customer-hosted software a potential option. Available capabilities depend on supported connectors and platform APIs; compatibility is validated per deployment.
Why independent
authority matters.
Industry disclosures and reported incidents.
Examples of the risk, not RiVT results.
AI-assisted espionage moves into operations.
Anthropic reported disrupting an espionage campaign that used Claude Code across parts of the attack workflow. The account reflects Anthropic’s investigation and attribution.
An email crosses the trust boundary.
EchoLeak demonstrated a zero-click prompt injection chain in Microsoft 365 Copilot that could expose data through a crafted email. The vulnerability was patched before public disclosure.
Curated selection, reviewed October 7, 2026. RiVT has not been tested against these cases.
What AI initiatives
are blocked?
What AI initiative is blocked, and what value would it deliver if unblocked? Bring your systems, use case, and authority requirements. Let’s discuss a governed path forward with your security, IT, and business sponsors.
Discuss a blocked AI initiative →If you had Artificial Intelligence that you could trust... what becomes possible?