Delegation at machine speed.

AI agents are worth what they save, minus what it costs to oversee them. Monovus builds the oversight into the systems they run on, inside your own AWS account, so you can hand them real work.

5 minutes · no sign-up · your gaps and a 30-day plan

01 Oversight

Delegation needs oversight.

Hospitals and pension funds run on people handing work to others they can’t watch. Three old ideas make that safe.

What changes with agents

02 Agents

Agents are a new kind of delegate.

They read what your company knows, decide and act: a refund, a price change. They work at software speed, with none of the oversight built for people.

15%of day-to-day work decisions made autonomously by agentic AI by 2028, up from almost none in 2024.Gartner, October 2024

40%+of agentic AI projects expected to be cancelled by the end of 2027, due to escalating costs, unclear business value or inadequate risk controls.Gartner, June 2025

What oversight costs

  1. Who is it acting as?Identity
  2. What did it just do, and why?Record
  3. What will it cost next month?Budget
  4. Is it still right after the next release?Review

Worth what it saves, minus what it costs to oversee.

Change the numbers. When a person checks every action, oversight eats the saving. When the system enforces the rules, people review only the exceptions.

Every action checked by a person67 hours a month back

Rules enforced by the system; people review exceptions193 hours a month back

Review time saved: 126 hours a month, about 0.8 full-time people

Illustrative simulation

Run it on your own agent

03 Controls

Agents must behave like accountable colleagues.

Your company already has the rules. Monovus rebuilds them as software. Switch one off to see what goes wrong.

Illustrative simulationAll seven on. Every action within its rules.

IdentityOn

People haveAn employee ID and a signature

An agent needsIts own identity

The systemA named role with its own credentials. No shared keys.

Without it SimulatedActed with a shared admin key.

The rules live outside the model.

A model follows its instructions most of the time. Your rules have to hold every time, so they are checked on every action, inside your own AWS account.

Your appWebsite, chat or help desk

Your AWS account

  • Sign-inAmazon Cognito
  • The agentAgentCore Runtime
  • GuardrailsAmazon Bedrock Guardrails
  • ModelsAmazon Bedrock
  • ToolsAgentCore Gateway · AWS Lambda
  • MandateAgentCore Policy
  • IdentityAgentCore Identity · AWS Secrets Manager
  • MemoryAgentCore Memory
  • RecordAgentCore Observability · Amazon CloudWatch
  • EvidenceAWS CloudTrail
  • BudgetAWS Budgets
  • ReviewAgentCore Evaluations
  • RollbackAgentCore Runtime

Illustrative simulation

You keep the data, the knowledge and the keys. AWS bills you directly, and we never mark it up.

Amazon Web Services, AWS, Amazon Bedrock and related marks are trademarks of Amazon.com, Inc. or its affiliates. Monovus is independent and not affiliated with or endorsed by AWS.

Read the Blueprint

04 Begin

From your first agent to all of them.

  • BlueprintMethod · openThe seven controls, written down in full, with a Readiness Check that scores you against them.Read the Blueprint
  • LaunchService · fixed scopeWe put your first agent into production with every control in place, in a two-to-four-week engagement.Get your scope and price
  • ControlSoftware · early accessInstalls the controls in one step, checks them continuously, and shows what every agent knows, does and spends.Apply for early access

The Blueprint is aligned with the AWS Well-Architected Agentic AI Lens.

Start with one agent.

Check where you stand in five minutes. Your report names your biggest gaps, a 30-day plan, and the right next step with its price.

Check your readiness

For agents in your own AWS account, live or planned

Early access to Control Early access

We’re building Control with a small group of companies, each on a real agent in its own AWS account.