AI can decide.
Nothing executes
without authority.
DecisionHypervisor is execution-control infrastructure for consequential AI actions. It evaluates the proposed action, current context, delegated authority, applicable policies, and required review before a configured protected system is permitted to change.
Agents are moving from
answers to actions.
Identity
Who or what is making the request?
Access
Which systems or tools may it reach?
Intent
What exact action is being proposed?
Authority
Should this exact action execute now?
Every consequential action
passes one evaluation.
Agent proposes → infrastructure enforces → reality verifies.
Intercept
The proposed action is intercepted before any protected system is touched.
Normalize
Actor, action, target, and requested consequence become one structured request.
Resolve
Relevant context and delegated authority are assembled and checked.
Evaluate
Governing policies and human-review requirements are applied.
Decide & Record
An explicit resolution is returned and the resulting evidence preserved.
Every action receives
an explicit answer.
DecisionHypervisor rejects ambiguous safety warnings. It resolves proposed states into one of six machine-readable decisions.
Authorized with Modification
Execute only after parameters, limits, targets, or timing are altered dynamically.
Escrowed
Reserve authority and suspend execution until a designated event or condition is met.
Human Review Required
Route the complete action context directly to the appropriate stakeholder.
Routed
Reassign the execution path to an alternative secure tool or trusted container.
Denied
Block execution immediately and append the permanent security reason code to the audit trace.
Resolution states describe the DecisionHypervisor control response. Downstream enforcement depends on the configured integration and protected execution boundary. Policies shown are illustrative examples, not customer configurations.
Six connected systems.
One execution boundary.
Status badges come from the same product-status registry that drives the Trust Center — not from the design mockups.
Intercept and resolve actions in the execution path.
Represent, delegate, escrow, limit, and verify authority.
Assemble the facts and relationships that make a decision valid now.
Package decisions, authority, policies, evidence, and results.
Reconstruct what the system knew, considered, decided, and executed.
Route ambiguous or sensitive actions to human authority.
Where execution control
matters first.
Example applications built on synthetic scenarios — illustrative workflows, not customer case studies.
MCP & tool-call governance
Evaluate every consequential tool call before it reaches a protected MCP server.
Financial actions
Bind refunds, transfers, and disbursements to scoped authority and required approvals.
Infrastructure changes
Gate deploys, firewall rules, and database migrations behind policy and review.
Regulated-data workflows
Apply customer-defined controls and evidence capture to sensitive-data actions.
Human approval
Route consequential actions to named reviewers with full context attached.
Physical-machine actions
Wrap machine commands in graduated intervention and verified shutdown paths.
Claims with receipts,
not adjectives.
Every material statement on this site is registered with its evidence, scope, and review date.
Product status
The authoritative stage record for every capability.
Security
Controls, scope, and vulnerability disclosure.
Data handling
What is processed, retained, and never required.
Testing
The invariants under test and their evidence status.
Public claims
Every public claim with its evidence and review dates.
Patent Application Notice
Provisional application status and marking rules.
Trademark Notice
Claimed marks and descriptive vocabulary.
Govern one workflow
before expanding authority.
Selected partners evaluate DecisionHypervisor against one consequential workflow in a controlled environment.
Who it is for
Organizations preparing to give AI agents, workflows, or machines authority over consequential systems — financial, operational, regulated, or physical.
What is available
A governed-execution evaluation in a controlled environment around one real workflow, with the private-preview SDK, endpoints, and support.
What remains in development
The managed SaaS control plane, additional SDK languages, and broader connector coverage are not available today.
Evaluation boundaries
Previews run in controlled environments with synthetic or approved data. They are not production commitments, and availability is not guaranteed.
Required agreements
Participation follows an approved design-partner agreement. The website form is an application, not acceptance.
What not to submit
Do not send confidential, proprietary, export-controlled, credential, health, payment-card, or security-sensitive information through the website.
Intelligence proposes.
Authority decides.
Put a cryptographically verifiable, machine-enforced boundary between your intelligent systems and the operational assets they have access to change.
Private Preview • Design Partner Access • Vendor-Neutral