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Lamiak

For enterprise teams · Planned

Agents for the operations that run your company.

Andiamo Enterprise is planned. It is designed for operations teams that want agents to propose actions inside their systems, a person to approve, and a record of each decision. The first workflows start from a real process in a real operations team. Bring yours.

How an agent acts

Proposed, approved, recorded.

This is how it is designed: an agent works inside the permissions it is given, and where policy says so, a person approves before anything changes.

  1. Request

    A ticket, alert or request arrives

  2. Context

    The records and permissions the task needs are assembled

  3. Proposal

    The agent proposes what to do and why

    Human approval
  4. Action

    The approved action runs within its permissions

  5. Record

    The decision is recorded with who made it and when

  6. Learning

    Outcomes are meant to feed evaluation before anything changes

Status

Where each agent family stands.

Approval-gated agents

Planned

Agents that propose actions inside your systems, with a person approving and a record of each decision.

Human approval

IT operations agents

Planned

Ticket triage, access requests and runbook execution with approvals.

Human approval

Software engineering agents

Planned

Review, test and change-management assistance inside existing engineering workflows.

Customer operations agents

Planned

Drafting, routing and follow-up for support and account teams, released by people.

Approvals and decision records

In development

Selected actions wait for an owner or admin to approve or reject them, and each decision is recorded with who decided and when; not yet switched on in a live product.

Human approval

Engagement

We deploy alongside your teams.

  1. 01

    Discover

    Map one workflow, the systems it touches, its constraints and what it is worth.

  2. 02

    Deploy

    Build the first working system inside your environment and permissions.

  3. 03

    Verify

    Add evaluations, monitoring and human approvals before widening scope.

  4. 04

    Expand

    Reuse the connections and rules for the next team.

  5. 05

    Adapt

    Improve routing and workflows from measured outcomes.

The loop

Built so each run can be learned from.

  1. 01 Context

    What the system knows: records, documents, permissions, history.

  2. 02 Action

    What an agent or workflow does, inside the rules you set.

  3. 03 Outcome

    What actually happened, recorded with its evidence.

  4. 04 Learning

    What changes next time, promoted only after review.

Context, then Action, then Outcome, then Learning; learning feeds back into context.

Bring the workflow your teams keep escalating.