Deploy AI agents.Under deterministic control.
When AI can touch money, records, or customers, the risk model changes. CoherenceOS enforces hard runtime boundaries before anything executes.
Built for healthcare, finance, and other high-stakes workflows.
execute_wire_transfer
execute_wire_transfer
Exceeds agent authority. Routed to Treasury Review.
approve_prior_authorization
Evidence tier insufficient. Requires specialist review.
When AI moves from suggesting to acting
Copilots are safe.
Agents that act are different.
The moment AI touches money, records, or customers, the failure mode changes.
AI executes a $480K wire transfer
Agent had no treasury approval for amounts over $50K
Finance discovered it 3 days later in reconciliation
AI approves an invasive procedure
Prior authorization required clinical sign-off
Regulatory exposure. Manual review of 2,000 records required.
AI sends a binding SLA commitment
Message created a contractual obligation
Legal exposure. Customer held the company to the AI's promise.
AI deletes 2,000 employee records
Destructive action with no human escalation
Silent authority expansion. Discovered during quarterly audit.
Monitoring sees this after it happens.
Governance stops it before it executes.
The autonomy trap
Your AI ROI is trapped
behind the authority wall.
AI works in demos. It stalls the moment it crosses into binding actions.
AI Investment
You build AI agents to automate high-value workflows.
Binding Action
AI crosses into binding territory: payments, records, commitments.
Risk Exposure
Legal, compliance, and audit teams flag exposure.
Autonomy Pulled Back
Autonomy scaled back. Human approvals return.
The real cost
The missing piece is not better prompts. It is runtime authority control.
See how CoherenceOS breaks the cycleHow it works
How CoherenceOS works
Five runtime checks run before each governed action.
Step 1
AI proposes an action
An agent prepares a write, approval, payment, or outbound message.
Intercept at the commit boundary
CoherenceOS captures the action before anything reaches your systems.
Verify authority, evidence, and constraints
Runtime checks validate what is allowed and whether proof is sufficient.
Allow, safe rewrite, escalate, or block
The action gets a clear outcome before execution.
Issue a signed governance certificate
Each decision records what was allowed, what was blocked, and why.
Outputs
Always on · Real time · No extra setup required
Platform
Every AI action passes
through four hard boundaries.
These are not optional filters. Every action passes through all four layers before execution — continuously, in real time.
Institutional Authority
Defines what each agent can claim or commit. Blocks unauthorized actions.
Stability Constraints
Detects drift, pressure bias, and authority expansion. Escalates when thresholds breach.
Execution Controls
Specifies which tools and actions each agent can trigger. Blocks disallowed calls.
Commit Validation
Verifies each proposed write is structurally safe. Issues signed certificate on approval.
All four modules run on every action — continuously, without configuration overhead.
Every decision leaves
a signed record.
Not a log. A proof of what was allowed and why.
a3f8d2c1e94b7f0d5a1c3e8b2f4d9a7c 1e3f5b7d9c2a4e6f8b0d2c4a6e8f0b2d
MEQCIHv3kX9mZpR2NcWa8qL4uY1fBsT7AiAvP6nXdE3mQz9Rw CIBjK2tF8yNpO4vLsD1cH7eM5bW0gA3iU6rX9yQ2wE4nT8z...
Payload hash
The full decision payload is hashed. Any change breaks verification.
Tenant signature
Each certificate is signed and can be verified with your public key.
Freshness hash
Each certificate binds to the governance revision hash used at decision time.
Audit bundle
Download a verification bundle containing signed certificate data and PDF evidence.
Not a monitoring log.
Proof of what was allowed and why, with evidence checks and governance revision bound together.
Dashboard + Outcomes
What this unlocks
Deploy agents that act, not just suggest. Increase autonomous throughput without increasing liability.
Autonomous claims processing
Handle clean claims end-to-end and escalate exceptions automatically.
Autonomous underwriting
Run low-risk underwriting decisions with bounded authority.
Autonomous revenue operations
Execute approved updates and reconciliations without manual bottlenecks.
Autonomous finance workflows
Route high-value financial actions to human review at the right threshold.
Who this is for
Built for teams deploying AI
where decisions carry exposure.
If AI decisions create financial, legal, or regulatory exposure — you need runtime authority control.
Healthcare Operations
Claims, coding, prior authorization
Binding Action
AI approves a prior auth for an invasive procedure
Risk
Patient safety, regulatory exposure, payer disputes
Control
Clinical authority boundaries, evidence tier requirements
Proof
Signed certificate for every approval decision
Financial Services
Payments, underwriting, disbursements
Binding Action
AI commits $500K in wire transfers
Risk
Financial loss, compliance violations, fraud exposure
Control
Amount limits, approval chains, audit logging
Proof
Cryptographic record of every transaction decision
Enterprise Operations
HR, IT, internal records, customer service
Binding Action
AI modifies employee records or sends binding responses
Risk
Legal liability, data integrity, contractual obligations
Control
Action-level permissions, human escalation triggers
Proof
Complete audit trail for compliance reporting
Built for decision-makers who own AI outcomes
Heads of Platform
Need agents that scale without risk
Compliance Leaders
Need proof for every AI decision
CTOs & VPEs
Need to ship AI without liability
Can you let this system approve $10M in payments?
If the answer is not yes, you need runtime authority control.
Join the design partner programIntegrate in minutes
Install in minutes. API-first.
Your agent sends proposed mutations to the Commit Gate before execution.
Before agent commits
Intercept the proposed action before execution.
Check authority + evidence
CoherenceOS evaluates whether the action is allowed and if proof is sufficient.
Get a decision + certificate
The response includes the decision (ALLOW / ESCALATE / BLOCK) and a signed governance certificate.
POST /commit-gate/evaluate
Content-Type: application/json
{
"action": "approve_wire_transfer",
"amount": 120000,
"evidence_tier": "TIER_0"
}{
"decision": "ESCALATE",
"enforcement_mode": "hard_block",
"certificate_id": "cert_8f3d2e1a",
"revision_hash": "sha256:9c4f2b...",
"reason": "amount > $10k requires human approval"
}Response includes canonical decision, enforcement mode, revision hash, and certificate ID.
Comparison
Watching your AI is not the same as controlling it
Not a second AI reviewing your AI. A deterministic control layer at execution time.
Dimension
When it acts
Traditional
Reviews logs after execution
CoherenceOS
Enforces policy at execution time
Dimension
What it does
Traditional
Watches and reports
CoherenceOS
Intercepts and enforces
Dimension
How it responds
Traditional
Post-incident investigation
CoherenceOS
Blocks, escalates, or rewrites before execution
Dimension
Policy enforcement
Traditional
Prompt-level rules that agents can bypass
CoherenceOS
Runtime enforcement on every action
Dimension
Authority control
Traditional
Undefined — agents can attempt anything
CoherenceOS
Explicitly defined per agent, verified on every commit
Dimension
Proof of compliance
Traditional
Trust that it went fine
CoherenceOS
Signed certificate per decision (Ed25519, SHA-256)
Dimension
Category
Traditional
Monitoring
CoherenceOS
Runtime Governance
Safely increase autonomy over time
CoherenceOS lets you start with strict enforcement and relax thresholds as evidence accumulates. Move from copilots to fully autonomous workflows — without increasing liability.
Ready to deploy AI agents
with real authority?
Join the waitlist for early access.