Action layer for AI agents

Connect AI to the physical world without giving up control.

AugereAI routes agent intent into your devices through scoped permissions, policy checks, and a verifiable audit trail so automation stays explicit, reversible, and yours to revoke.

Working with early design partners.

Scoped permissions
Full audit trail
Customer-revocable
Policy-enforced
Reversible by default
What this enables

A single trusted bridge between intent and action.

01

Intent routing

Translate agent calls into safe device commands across heterogeneous fleets with one API surface.

02

Policy checks

Every action runs through your rules: scope, schedules, rate limits, and escalation boundaries.

03

Logs and revocation

Complete audit trail per action. Revoke any permission instantly from one control plane.

What this solves for you

Real automation, in the real world.

Site patrol

Run a nightly patrol across a mapped site: hit each waypoint, capture readings, reroute around blockages, and end back at the dock.

mission: night_patrol
  route: dock -> bay_2 -> perimeter -> dock
  capture: snapshot @ each waypoint
  on_blocked: reroute; 2 fails -> return home

Overnight survey

Sweep every aisle inside an agreed window. Pause to charge mid-mission, resume where it left off, and file discrepancies for review.

mission: aisle_survey
  scope: aisles 1-14, 22:00-06:00
  on_low_battery: dock, resume last aisle
  report: discrepancies -> review queue

Fetch and deliver

Dispatch to a location, pick, and deliver on a deadline. When the world stops matching the map, the mission escalates to a human instead of guessing.

mission: deliver_sample
  route: lab_3 -> cold_storage
  deadline: 20m
  on_obstruction: wait 60s -> ask a human
Built for controlled operations

The control plane agents need before they touch anything physical.

We provide the primitives to ship agentic features into homes, vehicles, and field equipment without compromising safety, policy, or user trust.

Explicit permissions

Every capability is opt-in, scoped, and time-bound.

Audit and revocation

Queryable history. Revoke integrations in one action.

Policy enforcement

Server-side guardrails evaluate every command path.

Reversible actions

Where physically possible, unwind is one command away.

How it works

Three steps from device to delegated action.

1

Connect device

Register a platform, then enroll its sensors and actuators.

2

Define policy

Set scopes, approval rules, and operating guardrails.

3

Let agents act

Approve, audit, and revoke in real time as operations evolve.

Working with early design partners.

AugereAI is early. If you run robots in the real world and want a say in how agents are allowed to drive them, I would like to talk.

Talk to me

Who is behind this

I'm Michael Johnson, a robotics engineer with a background building warehouse robot fleets at Locus Robotics. I also build Mote, an open, low-cost ROS robotics platform, and write about robotics at clach.dev.