Runtime authority for AI agents

AI agents act.
Who is responsible for the outcome?

Alethesis AI closes the authority gap and takes agentic AI from POCs to production. High-risk actions reach the accountable human before they execute.

Any model or framework Your cloud or on-premises Built in Switzerland

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See runtime authority on your agent workflows.

Supported by the Swiss and European innovation ecosystem

The Problem

Four gaps every agentic AI deployment hits.

One bank. One AI agent handling complaints.

  1. Fee waived. Five stars.

    01

    Permissions ≠ authority

    Agents are allowed to act. Nobody authorizes what they do.

  2. It keeps waiving.

    02

    Drift goes undetected

    Agents change after launch. Nobody sees them cross their limits.

  3. Nobody owns the decision.

    03

    No authority exercised

    IT builds it. The business configures it. Nobody owns the decision.

  4. The audit finds the leak.

    04

    The cost of no control

    Losses show up in the audit, months later.

The Solution

Alethesis AI closes the gaps.

  1. Complaints agent · Retail bankingProposed

    Waiving this customer's fee.

    Waivers this month: rising

  2. Waive account fee Paused

    LowMediumHigh

    • Revenue loss
    • Repeated pattern
    • Hard to undo

  3. Decision neededHigh risk

    Head of Retail CreditYou own this decision

    Waive another fee? Waivers already exceed the reserve.

    Smaller credit + retention offer

  4. Action Executed

    Waive account fee

    Smaller credit + retention offer

    Ledger Recorded

    Decision
    Modified
    Owner
    Head of Retail Credit
    Why
    Over the reserve
  • Nothing blocked.
  • Owner decided in real time.
  • Audit finds a decision.
Impact

Measurable impact for every stakeholder.

CTO · Head of Engineering

Deploy more agents with confidence.

Measured by

Agents in production

Goes up

Time to deploy

Goes down

The Benefits

What your organization gets.

  • Accountability gap closed

    Always knows who decided, and can prove it.

  • Risk managed in real time

    Focuses human attention on critical risks only.

  • Oversight that creates value

    Turns human review into a measurable asset, and puts reviewers where they matter.

  • Speed without compromise

    Keeps operations running. Only critical actions pause.

  • Continuous compliance

    Proves compliance at runtime, with evidence on every action.

  • Decisions that reach the right person

    Goes beyond blocking: the right person decides, with context.

Why This Matters Now

Enforcement is solved.
Authority isn't.

Tools that control what agents can do have matured.
Infrastructure that governs who is responsible has not.

Agentic AI is in production

Agents take consequential actions in finance, HR, healthcare and operations. The failure modes are real, not hypothetical.

Regulators expect effective oversight

The EU AI Act requires high-risk AI to be effectively overseen while in use. Documentation alone can't show that oversight works.

No evidence, no defense

When something goes wrong, you must show who reviewed what, when and why. Without runtime authority, that evidence doesn't exist.

Integration & Deployment

Fits the infrastructure you already have.

One integration surface. Three deployment options. Framework and model agnostic.

Integration

One SDK. One set of keys. One configuration.

Models & clouds

  • AWS Bedrock
  • Azure OpenAI
  • GCP Vertex
  • On-premises
  • Open source

Frameworks

  • LangGraph
  • AutoGen
  • Google ADK
  • OpenAI SDK
  • Anthropic SDK
  • Vercel AI SDK
  • Claude Code
  • Custom

Deployment

No vendor lock-in. Your data, your environment.

  • Managed SaaSUp in minutes
  • Your cloudYour VPC on AWS, Azure or GCP
  • On-premisesFull sovereignty, air-gap ready

Any architecture

Adapts to how your AI operates.

  • Workflow agents: plugs into deterministic, multi-step pipelines.
  • Autonomous agents: context-aware oversight for non-deterministic actions.
FAQ

Frequently asked questions.

What is Alethesis AI?

Alethesis AI is runtime authority infrastructure for AI agents. It holds high-risk agent actions before they execute, scores their risk and routes them to the accountable human. Every decision is recorded.

Who is Alethesis AI for?

Any organization in a regulated industry that wants to bring accountability to agentic AI decisions.

Is this an observability tool?

No. Observability tools log what happened. Alethesis AI governs what is about to happen. It intercepts each action before execution, scores it and routes it to the accountable human. Logging is a byproduct, not the product.

Is this a guardrails or eval framework?

No. Evals test models before deployment. Guardrails govern the whole system from inside it. Alethesis AI governs each consequential action from outside the system, with deterministic logic. It decides whether the action needs human authority before it lands. Runtime authority vs guardrails.

Will it slow our agents down?

No. It helps them move faster. Today, missing oversight is what slows agents down: when every action gets the same friction, teams pull the agent or skip the controls. Alethesis AI lets routine actions run. It brings in a human only when it matters.

Does it work with our existing oversight workflows?

Yes. Alethesis AI fits around the reviewer roles you already have, such as risk, compliance, HR and operations. It follows how your organization already assigns responsibility.

Questions about runtime authority, human-in-the-loop or the EU AI Act? Read the runtime authority FAQ

Who's responsible for your AI agents' actions?

See how Alethesis AI closes the authority gap.

Request a Meeting