A composable platform for building your own agents

A composable agent platform moves that flexibility into the product. Reliability engineers assemble the agent they need from the same parts our own agents are built from — the data it can read, the actions it may take, the approvals it has to clear — in a drag and drop interface rather than a services engagement.

The constraint that makes it safe is the one already in place: an agent a team builds inherits the same permission model, the same audit trail and the same human checkpoints as everything else in Canary.

This piece is a placeholder while the full write-up is drafted. It sketches where the work is heading and what we think it changes for maintenance teams.

After a six-week evaluation, ABB Woods selected Canary for its ease of deployment, intuitive mobile experience, and built-in predictive maintenance capabilities. The rollout began at their flagship plywood mill in Georgia and expanded to all seven facilities within five months.

Canary's automated work order routing immediately reduced average response times by 35%, while its AI-driven analytics began flagging early signs of bearing wear on veneer lathes and detecting thermal anomalies in hot press systems - giving crews advance notice to schedule repairs during planned changeovers rather than reacting to breakdowns mid-shift.

The impact has extended well beyond the maintenance shop floor. With Canary's spare parts tracking, ABB Woods consolidated inventory across sites and reduced carrying costs by 22%. Digital inspection checklists replaced paper forms for kiln and press maintenance, cutting audit prep time from days to hours. Management now reviews live KPI dashboards covering asset uptime, work order backlog, and preventive maintenance compliance - data that was previously assembled manually at quarter-end.