Patent pendingOnboarding design partners

DECENTRALISED EXECUTION GOVERNANCE FOR AUTONOMOUS AI · NO CENTRAL GATEWAY

Authority
travels
with the action.

Policy stays central. Execution authority travels with the work. Mira lets you design, govern and run autonomous workflows across any model, agent framework, cloud or specialist intelligence, and verifies every interaction locally at the boundary it reaches, with evidence kept off the critical path.

Illustration: a planner agent fans work out to three agents in parallel. The credit agent delegates two checks: one asks an outside reasoning engine for a verdict, the other reads a protected banking system. The pricing agent tries to read every customer’s file in that system and is stopped at its boundary, while the other branches carry on and converge on an approval agent. Policy, trust and revocation sit above the workflow and are distributed ahead of time; no step calls back to them. Evidence of every decision drops separately into an audit vault below.

Works with any agent framework,
model or cloud. For example:

LangGraphCrewAIGoogle ADKPydantic AIOpenAI Agents SDKAutoGenand your own agents
THE ARCHITECTURAL INVERSION · MSEP

Distributed execution shouldn’t depend on central execution authority.

Most agent governance sends every consequential action through a gateway, or back to a central service for an answer. That puts one shared dependency in the critical path of every branch: fan-out becomes gateway load, and every join waits on the slowest round trip. MSEP, the protocol inside Mira, inverts it: bounded authority travels with each interaction, and the boundary it reaches verifies it locally.

Policy service 1 2 3 Agent System
Return-to-hub3 traversals

Every action waits on a remote answer. If the service is slow or down, the work stops with it.

Gateway 1 2 Agent System
Forwarding gateway2 traversals

Every call funnels through one choke point, and that choke point holds the keys to every system behind it.

Nothing here 1 Agent System MIRA BOUNDARY
Native MSEP1 traversal · about 0.57 ms

Authority is checked on arrival, beside the system being called. Nothing central sits in the path.

Gateway Agent Tool Model System Join
Fan-out through a gatewayEvery branch shares one choke point, so parallel work queues there, and the join waits for the last one through.
Agent Tool Model System Join
Fan-out with MSEPParallel branches stay parallel. Each one is verified at its own boundary, so governance adds no shared queue and no extra round trip.

Centralise administration where it helps. Distribute execution authority where it matters.

Latency isn’t the whole argument. MSEP preserves the topology of the autonomous system itself, so governance follows the work as it fans out, delegates and reconverges, instead of forcing every branch back through the middle.

What that one change makes possible.

THE INVERSION

Authority travels with the action. Evidence travels separately.

Policy is set centrally. Each interaction carries bounded authority and is verified on arrival at the boundary it reaches. Nothing returns to the middle.

NO SHARED CHOKE POINT

Parallel stays parallel

Branches are verified at their own boundaries at the same time, so governance doesn’t serialise the work. About 0.57 ms per governed hop in pre-production; over a ten-hop chain in equal-work tests, 1.8 to 2.1 times sooner than an inline gateway and 2.2 to 3.0 times sooner than a central call-out.

NOTHING CENTRAL TO FAIL

Keeps working when a service doesn’t

There is no central service for every action to wait on. Routine decisions are made where the action lands, and evidence is sent separately, so it never holds up the work.

NOTHING CENTRAL TO BREACH

Zero bypass

Governance means nothing if an agent can simply use another credential. Agents hold no standing keys to the systems they call: each boundary withholds the protected capability until the action is permitted.

AUTHORITY FOLLOWS THE WORKFLOW

The workflow is governed, not just the step

A permitted action doesn’t make the workflow it creates permissible. Mira governs who may take part, what must come before what and how a run may recover, and seals the graph a run actually took beside the one it was allowed.

STOPPING ISN’T THE END

Recover, don’t restart

Where recovery is safe and defined, Mira restores trusted state and continues, with an approved substitute agent, model or provider where policy permits, rather than restarting the whole run.

TRUST TRAVELS TOO

A Red Card follows the agent

An agent that forges or tampers with its authority is stopped and issued a Red Card, which signals actor-wide quarantine across your estate via SSF/CAEP. It constrains what that agent may do next until a named person reinstates it, so trust doesn’t reset when the workflow does.

EVIDENCE TRAVELS SEPARATELY

Evidence you can verify and keep

Every decision at every boundary is sealed into verifiable causal evidence, sent apart from the action so it never slows it down. The payload stays in your own storage, and auditors can check the record without trusting Liora.

QuestionGateway or central serviceMira boundary
Where authority is checkedIn the middle, away from the actionAt the system the action lands on
Across a multi-step workflowEvery step goes back through the middleAuthority travels with the work, bounded at each hop
Network traversals per action2 to 31
Who holds system credentialsThe gateway, for everything behind itEach boundary, for its own system only
If the central service failsAgent work stopsRoutine decisions carry on
Decisions availableAllow or blockSix outcomes, from release to recover
EvidenceLogs at the checkpointA record anyone can verify, for every decision
Across parallel fan-outQueues at the shared gateway; tail latency compoundsVerified concurrently at each branch boundary
BUILT.
WORKING.
MEASURED.
0.57 msp50, a complete governed hop plus successor state
83 µsp50, inbound authority verification
212 µsp50, evidence sealing
50+representative pre-production scenarios, from payments to pharmacovigilance

Pre-production measurements on our disclosed test environment, not production SLAs. Patent pending.

AI agents now approve payments, change production systems and move customer data. Most governance only finds out afterwards. Mira makes the decision before the action runs.

Identity isn't authority

Knowing which agent acted doesn't prove that this action, on this system, was allowed at that moment.

Central checkpoints slow everything

Sending every action to a remote service adds delay, fragility and lock-in as workflows grow.

Logs don't stop actions

An audit trail explains what happened afterwards. You also need to stop the unsafe action, and prove the control you applied.

Governance at every consequential boundary.

Mira makes the workflow governable; MSEP makes governance effective at each consequential execution boundary. This is what a boundary does each time an action arrives.

Checked before it runs

When an agent tries to pay, export, change or send something, the boundary checks it against your rules first. Then it allows it, removes private details, holds it for more authority, or stops it.

Private details stay private

Names, birth dates and contact details are removed before they reach a model or vendor that shouldn't see them.

Policy decides when more authority is needed

That authority can come from a named person, another trusted system or another source your policy defines. Nothing runs until it arrives, and a timer running out is never a yes.

Recovers where it is safe to

Where recovery is safe and defined, Mira restores trusted state and continues on an approved alternative model or provider, rather than restarting the whole run.

Fits the stack you run

Works with any agent framework, model or cloud, including agents you built yourself. Change a provider without rebuilding your controls.

Evidence your auditors can verify

Every run leaves a tamper-evident record of what was checked, decided and done, mapped to the regulations you answer to. Auditors can verify it for themselves, without having to trust us.

NATURAL-LANGUAGE RULEBOOK BUILDER

Write the rule in plain English. Mira makes it enforceable.

Risk, compliance and quality leads don’t need to write code. Describe the policy the way you would say it, link it to the regulation it comes from, and Mira compiles it into a deterministic boundary your agents cannot argue with.

  1. 1
    Write it in plain English

    The way you would put it to a colleague.

  2. 2
    Map it to its legal basis

    Each rule carries the regulation or policy clause it comes from.

  3. 3
    Compile it to a deterministic boundary

    Explicit rules you can read, test and sign off.

  4. 4
    Test, see the impact, sign off

    Nothing takes effect until an authorised person publishes it.

RULEBOOK · DATA HANDLING
YOU WRITE

Do not send customer health information to an external model. If the classification is uncertain, a privacy officer decides.

LEGAL BASIS
GDPR Art. 9 · health dataPrivacy Act 1988 · APP 6Data policy §4.2
COMPILED RULES
PII-1Health information to an external modelinterdict
PII-2Classification uncertainelevatePrivacy officer
✓Deterministic · versioned · signed offThe sentence stays with the rule. Only the rule is enforced.

Nothing improvises at runtime. A model can help you draft a rule. Only the compiled rule is ever enforced, the same way every time.

NO CODE

Plain English

For risk, compliance and quality leads. Describe the policy, review the rules it produces, and sign off.

LOW CODE

Visual workflow canvas

For process owners. Draw the workflow, choose which agents act on what, and mark where a person decides.

FOR ENGINEERS

Three lines of Python

Wrap the agents you already run and govern every step. See the code

All three build the same rulebook, so a compliance lead and an engineer are always looking at the same rules.

PLUGGABLE DECISION INTELLIGENCE

One reasons. One executes.

Mira doesn’t try to be your sanctions screen, credit model or clinical engine. Plug in the one you already trust. It reasons and signs its verdict. Mira acts on that verdict, for that exact action, and nothing else.

  • No verdict, no action.
  • A verdict meant for a different action, or one that doesn’t check out, is refused.
  • The engine stays the expert. Mira stays the boundary.

Inside Mira.

Real screens from an example drug safety workspace, using synthetic data.

app.liora-ai.co / workflows
Mira workflow designer with three agents in sequence
Adverse event report in the safety databaseMira holding the submission until the responsible person releases it
Mira Audit Vault showing a case's compliance passport, regulatory posture and incident summary

The same failure. With Mira, and without.

A credit-approval workflow where an agent leaks personal data mid-run. Switch Mira on to see what changes. One of 50+ scenarios in our demonstration build spanning banking, credit, pharma, healthcare, payments, software deployment, and more.

SCENARIO 03 · CREDIT APPROVAL · PERSONAL DATA LEAK
Without Mira, the leak is invisible. The workflow completes, the record looks clean, and nobody ever knows.

Mira in ninety seconds.

What Mira checks, what it stops, and the evidence it leaves. Plain English, captions on.

Built for the teams who answer for AI.

Security, risk and compliance leaders need controls they can explain to a board and evidence they can hand to an auditor.

Independent of your AI vendors

Works across models, clouds and agent frameworks. Change a provider without rebuilding your controls.

Your data stays yours

Customer data stays under your control. Liora keeps the proof, not a copy of your data.

Control before the action

Consequential actions are checked against your rules before they happen, not explained after the fact.

Evidence anyone can verify

Tamper-evident records that auditors can check for themselves, without having to trust Liora.

Fits the controls you have

Open interfaces for the identity, policy and security tools your organisation already trusts.

Keeps working under pressure

Routine decisions don't wait on a central service, so a slow or failed dependency doesn't stop the business.

DESIGNED WITH THESE IN MINDEU AI ActISO/IEC 42001NIST AI RMFGDPRAPRA CPS 230 / 234UK Corporate Governance Code (Provision 29)21 CFR Part 11 / EU Annex 11OpenTelemetry

Govern the agents you already have.

  • Keep your stackInstrument existing agent workloads without replacing your models, frameworks or infrastructure.
  • Debug with real evidenceSee what happened, in what order, and which control was applied.
  • Apache 2.0 SDKOpen-source instrumentation for the agents you already run.
BUILD FOR FREE. GO LIVE WHEN YOU'RE READY.

Always-Free Developer Licence

Full access to the Mira engine, plain-English rulebook builder, workflow designer and Audit Vault for development, sandboxes and client PoCs.

Consultancies and engineering teams keep 100% of the rulebooks and workflows they build.

Mira engineRulebook builderWorkflow designerAudit Vault

A production licence applies when you go live. Full licence terms will be published with the developer release.

The 60-second developer surveyAnonymous. Tell us what's blocking your agents and we'll publish what we learn.
Take the survey
agents.py
# Three lines. Your agents, now on the record.from mira_agent import govern app = govern(app, policy="credit-approval")app.run() # every step governed
SIMPLIFIED EXAMPLE

From working build to production.

Mira is built and demonstrated. We are hardening it for production now, with design partners joining ahead of the developer release.

NOW

Architecture demonstrated

A working build showing governance, interdiction, recovery and verifiable evidence across agent workflows.

THEN

Developer release

The Apache 2.0 SDK and the Always-Free Developer Licence: the Mira engine, plain-English rulebook builder, workflow designer and Audit Vault, free for development, sandboxes and client PoCs.

BEYOND

Enterprise governance

Policy management, assurance, reconstruction and sovereign deployment for consequential AI workloads.

Patent pendingOnboarding design partners

Put your agents on the record.

Join the design-partner programme. Early partners help shape Mira and get first access to the platform and SDK.

  • Early access to the platform and SDK
  • A direct line to the founding team
  • A say in what we build first

Prefer email? hello@liora-ai.co

Request early access

Tell us a little about what you're building. We'll be in touch before the developer release.

We'll only use this to contact you about Mira early access. No spam, no list-selling.