§ the brief

Agent management, made simple and secure.

Every team deploying agents asks the same three questions: who can run one, what can it reach, and how do we prove what it did. Powerloom answers all three with infrastructure your admin team already knows how to operate — a directory, a policy engine, and a hash-chained audit log. No new vocabulary. No new playbook. Just the agents.

Agent capability is doubling every quarter. The plumbing around agents is not. Most teams shipping agents today are doing it the way the first cloud workloads went out: shared keys in env files, permissions agreed in Slack, an audit trail nobody can produce on demand. That works for the first agent. It does not work for the fifteenth.

The question stops being “does the agent work” and becomes “who is allowed to deploy one here, against which data, with whose credentials, and where is the record.” That is an operations problem, and it lives in the same domain as privileged access management, directory services, and change control. It belongs next to those tools, not inside an IDE.

What powerloom does.

Powerloom is a control plane for AI agent fleets. Declare your organizational tree, bind roles to it, register agents under organizational units, and wire up the MCP servers they can reach. Every policy decision — every allow, every deny, every inherited rule — lands in an append-only, hash-chained log. Apply from YAML. Review in pull request. Roll back on drift.

The shapes are deliberately familiar. Organizational units. Role bindings with deny precedence. Approval gates. Append-only audit. The worst control plane is the one that asks operators to learn new vocabulary for concepts they already have good language for.

Four commitments.

  1. Secure by default. Agents start with zero scope. Privileges come from the directory, never from the human who deployed them. The first thing a new agent can do is nothing.
  2. Operations team can audit it without a manual. Same shapes as Active Directory and Terraform. If you have run terraform apply or written a group policy, you can run powerloom on day one.
  3. Declarative, diff-able, reviewable. Every change is a manifest. Every manifest lands via the same review path the rest of your infrastructure does. There is no console button that bypasses the log.
  4. The audit log is a product. Hash-chained, tamper-evident, queryable. If you cannot prove what an agent did yesterday, you cannot defend running one today.

Who this is for.

Platform and IT teams whose company is past the prototype era. The signal is six or more agents in production, at least one compliance conversation on the calendar, and a CISO who has started asking how the agents differ from any other privileged workload. They do not, and that is the point.

If you have one agent and it's working fine, powerloom is overkill. Come back when the fleet grows.

What we don't do.

We do not build the agents. We do not write your prompts. We do not pick the model. We do not host the LLM. Powerloom is the layer between “your directory and policies” and “agents that can act in production” — nothing more, nothing less.

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