Define the Safety Envelope
Your AI Can Actually Operate Within
Morrison Runtime Governance™ maps, tests, and enforces the local Safety Envelope between your autonomous AI and your real systems — before actions execute.
A defined region where a system can operate without crossing known safety limits.
Safety-critical engineering does not rely on a vague claim that a system is simply “safe.” It defines the conditions, limits, and states in which operation is acceptable — and the boundaries that must not be crossed. That bounded operating region is the idea behind a Safety Envelope.
The same engineering principle appears in fields where crossing the operating boundary can have serious consequences:
The principle is the same: safety is not a vague property of the system. It is a bounded property of operation.
We define and validate the conditions under which locally safe operation holds inside your environment — under your tools, permissions, policies, workflows, and reachable states. Morrison then evaluates proposed trajectories before execution to keep autonomous operation inside that validated envelope.
Causal control over autonomous-system behaviour at execution time.
See the Safety Envelope your AI can actually operate within — in your environment, before actions execute.
AI is moving from generating answers to taking actions.
An autonomous system can send money, expose data, change infrastructure, approve workflows, call external tools, and coordinate with other agents. Once AI can act in the real world, the safety question changes: where is it actually safe for this system to operate?
Enterprises need to know which tools, states, workflows, and trajectories remain locally safe — and stop the system when a proposed action would leave that region. That is what the local Safety Envelope makes visible, testable, and enforceable before execution.
Most safety reacts. Governance keeps autonomy inside a defined envelope.
Runtime Governance establishes and enforces a local Safety Envelope at the execution boundary between your AI systems and your infrastructure. Actions and trajectories that remain inside the validated envelope can proceed. Transitions that would leave it, violate a constraint, or enter Ω — the forbidden region — are blocked or escalated before execution. No model retraining, no agent rebuild.
Local, bounded evidence — provider-, model-, agent-, and deployment-agnostic.
Actions inside the validated Safety Envelope continue. Boundary violations are blocked or escalated before execution.
Not just a control point. A governed operating system.
Runtime Governance is the kernel. Guardian OS is the operating system built on top of it — where a council of specialised AI departments coordinates an entire enterprise as one governed, evidence-backed runtime. Every action any department takes is proposed, governed, approved, executed and recorded. No trusted agents. No bypasses.
Multi-agent orchestration
A council of specialised departments, each owning its slice of the enterprise and coordinating through governed handoffs. No department acts on another’s authority, and none is trusted more than the engine allows.
Digital enterprise twin
A live, read-only model of the whole organisation — every customer, deployment, incident, dependency and risk — derived from authoritative records and replayable through time. One executive view of what’s happening, what needs attention, and what happens if you do nothing.
One governed lifecycle
Every privileged action, from any department, follows the same path — deterministic, fail-closed and auditable — so autonomy never outruns oversight and nothing happens without evidence.
The same governed path for every department — the agent proposes, the engine rules, a human approves what matters, and every decision is recorded.
Know where your AI can operate — and enforce the boundary.
The Safety Envelope shows the locally validated operating region for your deployment. Runtime Governance keeps execution inside it while preventing the financial, operational, regulatory, and security outcomes that sit beyond the boundary.
- Unauthorised funds transfers
- Customer-data exfiltration
- Privilege escalation across internal tools
- Regulatory-boundary violations (FCA / AML / GDPR)
- Cascading failures across multi-agent pipelines
- Hallucination-driven irreversible actions
- A defined local Safety Envelope for the deployment
- Evidence of which trajectories remain inside or leave the boundary
- Reduced regulatory and financial exposure
- Faster, safer AI adoption with pre-execution controls
- Audit-ready evidence for every governed decision
- One governance layer across every model, agent, and vendor
Cascading Failures Across Agent Pipelines
Multiple individually safe agents can combine into an unsafe system.
Runtime Governance evaluates the full trajectory across the pipeline — not each agent in isolation — and denies the combined unsafe path before any agent acts.
EU AI Act · agentic AI
Built for AI Deployers, Not Just AI Providers
Runtime Governance provides enforcement, evidence and audit-trail controls that support organisations in meeting key EU AI Act obligations for agentic AI deployments — it is not a legal certification.
One pathway. Four stages. Nothing replaced.
The same pathway takes your organisation from mapping a local Safety Envelope to enforced, monthly-reported governance — one layer inserted into your existing stack, nothing rebuilt.
Safety Envelope Assessment
48 hoursA 48-hour assessment of your architecture, tools, permissions, reachable states, and constraints — producing a bounded local Safety Envelope and a domain-specific Ω definition.
Shadow Mode Pilot
Insert one layerInsert one layer; replace nothing. Governance observes trajectories in your environment and shows which remain inside the Safety Envelope, which approach the boundary, and which would leave it — without touching a single existing tool.
BeforeLLM / AgentToolsProductionAfterLLM / AgentRuntime GovernanceALLOW · ESCALATE · BLOCKToolsProductionEnable Enforcement
One config changeObserve-only becomes observe-and-enforce with one configuration change. Actions inside the envelope proceed; boundary violations are blocked or escalated before execution.
Ongoing Governance
Standing assuranceContinuous revalidation, monthly evidence reports, and executive visibility as models, tools, permissions, policies, and the operating environment evolve.
See a local Safety Envelope in action.
Real scenarios, live verdicts, sub-millisecond decisions — see which trajectories remain inside the envelope and which are blocked or escalated before execution. No signup, no setup, nothing touches your systems.
The cost of one boundary violation.
Governance cost is bounded. Exposure outside the validated Safety Envelope is not. Runtime Governance is priced against the consequences of unsafe reachable states — including Ω — becoming executable.
| Sector | Incident type | Documented cost |
|---|---|---|
| Banking / Finance | Unauthorised wire transfer | $2B+ single historical losses |
| Healthcare | PHI exposure | $9.77M average per breach (IBM 2024) |
| Cybersecurity | Credential exfiltration | $10.22M average per breach (IBM 2024) |
| Data Privacy | GDPR automated processing violation | €290M–€530M single regulatory fines |
| Enterprise | Unauthorised data access | $4.88M global average (IBM 2024) |
A single unsafe decision in Agent A becomes the input to Agent B before any human intervenes. Runtime Governance evaluates every trajectory at every execution boundary — not just the first agent, not just the final output.
The assessment shows what your system can safely reach in its current environment — and where trajectories would leave the validated envelope.
Runtime Governance for the people responsible for what the system does.
If you are accountable for autonomous behaviour, you need more than a global claim that a model is “safe.” You need bounded evidence of what it can safely do in your environment, and enforcement when a proposed trajectory leaves that envelope.
For developers
Connect Runtime Governance to your agent in ~15 minutes
Copy-paste examples, framework hooks, and live API contracts. No engine modifications required.
Map the local Safety Envelope of your autonomous system.
A 48-hour Safety Envelope Assessment shows what your system can safely reach in its current environment, where the boundary sits, and which trajectories require blocking or escalation before execution.