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A rail technician describes a fault on the module in front of him, and the agent records the symptom and the diagnosis on the open work order.
A rail technician describes a fault on the module in front of him, and the agent records the symptom and the diagnosis on the open work order.

Just say it.
The work gets done.

Agents turn everyday conversations into completed work inside the systems you already run. People stay in control when it matters.

See how it works
A rail technician describes a fault on the module in front of him, and the agent records the symptom and the diagnosis on the open work order.
A rail technician describes a fault on the module in front of him, and the agent records the symptom and the diagnosis on the open work order.

Built with teams doing complex, consequential work.

  • Naval defenceApproval-controlled operations pilot in development.
  • Naval engineeringAI workflows for knowledge-intensive work, in production.
  • Industrial operationsDemonstration environment developed with an industry partner.

The hard part isn’t getting an answer.
It’s letting AI act inside your systems without losing control.

MaiarX finds the context, prepares the action and records what ran. People approve the decisions that matter.

  1. Person says

    The module loses communication and reboots.

  2. Context found

    Open work order
    WO-4821
    Maintenance manual
    § 4.3 · Communication faults
    Sensor history
    3 resets in 48 h

  3. Proposed action

    Inspect connector C14 before replacing the module.

  4. Human decision

    Approved by J. Morgan

    Technician · 14:32

  5. Recorded result

    Diagnosis added to the work order.

    WO-4821 · 14:32

Work moves differently across every business.
MaiarX adapts to the job.

Deploy agents wherever conversations, documents and systems slow people down.

Someone says

I can’t make Thursday. Anything early next week?

  1. Context the agent finds

    Booking rules, the patient’s file and the open slots in the scheduling system

  2. Action it prepares

    Offers three slots that fit the rules and moves the appointment to the chosen one

  3. What gets recorded

    Appointment updated · confirmation sent to the patient

Human approval

Not required · runs within approved policy

Someone says

The coffee machine stopped working this morning.

  1. Context the agent finds

    The order, warranty terms, the product manual and previous incidents

  2. Action it prepares

    Guides a quick check, opens the incident and prepares the replacement

  3. What gets recorded

    Incident INC-2291 with the check results and the replacement request

Human approval

Not required · runs within approved policy

Someone says

It’s blinking orange and won’t heat.

  1. Context the agent finds

    The troubleshooting section for that model and its known fault codes

  2. Action it prepares

    Walks the customer through the check one step at a time and captures the result

  3. What gets recorded

    Check outcome attached to the customer’s case

Human approval

Not required · runs within approved policy

Someone says

I’d rather have my money back.

  1. Context the agent finds

    Return policy, order value and the refund limit set for the agent

  2. Action it prepares

    Prepares the refund within policy; anything above the limit waits for a person

  3. What gets recorded

    Refund prepared · policy and limit applied

Human approval

Required before it runs

Someone says

Did the replacement go out?

  1. Context the agent finds

    Shipment status and the incident record

  2. Action it prepares

    Drafts the confirmation with the tracking reference

  3. What gets recorded

    Message sent and linked to the incident

Human approval

Not required · runs within approved policy

See what the agent found.
Review what it wants to do.

Every consequential action arrives with its context, evidence and expected outcome.

run 7c2e-41 · agent maintenance · tenant demo
step 02 retrieve · 3 sources · manual p.118 · wo-4821 · sensor-log
step 03 propose · diagnosis drafted · nothing written yet
gate workorder:approve · awaiting decision
record · append-only · sha256:4b7e…d1

The control layer for agents that act.

  • EU-hosted, region chosen per deployment
  • Every tenant isolated at the database level
  • Least privilege for every agent and tool
  • Human approval on consequential actions
  • Append-only audit trail
  • Fail-closed: no permission, no action

Start with one workflow.

We map the conversation, connect the required systems and define the approval points. Then we put the agent to work, measure the result and expand from there.

  1. 01

    Map the workflow

    The conversation, the systems involved and the approval points.

  2. 02

    Connect the systems

    Read access first; writes only through audited, allowlisted tools.

  3. 03

    Run with human approval

    The agent works; people approve every consequential action.

  4. 04

    Measure and expand

    Review the record, then take the next workflow.

Bring us the workflow that slows your team down.

We'll map the conversation, systems and approval points required to put an agent to work.

MaiarX — Enterprise AI agents with human approval