Approval-gated agents
PlannedAgents that propose actions inside your systems, with a person approving and a record of each decision.
For enterprise teams · Planned
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
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.
Request
Context
Proposal
Action
Record
Learning
Domains
The line is planned, and each write-up says so in its opening line. What they add is the shape of the work, the point where a person decides, and the parts of Lamiak Core underneath that are built today.
IT operations
Planned work: a request is read against the systems it touches, a change is written out in full, and the person who owns that system decides.
Planned
Software engineering
Planned work: a change under review is read together with the code around it, a test or a note is offered, and the engineer reviewing it decides what to keep.
Planned
Customer operations
Planned work: a customer message is read against the account it belongs to, a reply is drafted, and a person releases the exact wording.
Planned
Status
Agents that propose actions inside your systems, with a person approving and a record of each decision.
Ticket triage, access requests and runbook execution with approvals.
Review, test and change-management assistance inside existing engineering workflows.
Drafting, routing and follow-up for support and account teams, released by people.
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.
Engagement
01
Map one workflow, the systems it touches, its constraints and what it is worth.
02
Build the first working system inside your environment and permissions.
03
Add evaluations, monitoring and human approvals before widening scope.
04
Reuse the connections and rules for the next team.
05
Improve routing and workflows from measured outcomes.
The loop
01 Context
What the system knows: records, documents, permissions, history.
02 Action
What an agent or workflow does, inside the rules you set.
03 Outcome
What actually happened, recorded with its evidence.
04 Learning
What changes next time, promoted only after review.