Agentic in your world
The specific, high-value problems Agentic AI solves — industry by industry. Pick any one to see the full picture: the situation, why it matters, how we’d deliver it, who it’s for and when it bites.
industries
use cases
Manufacturing · 10 use cases
the stakes — $50B/yr lost to unplanned downtime (Deloitte); AI-in-manufacturing ~35% CAGR to 2030 (Grand View).
Maintenance-workflow agents (diagnose→plan→dispatch)
On an alarm, an agent reads manuals and incident logs, ranks likely causes, drafts the work order, checks parts and schedules the crew — a planner approves the job.
the situation
When a machine alarms, diagnosis relies on manuals, logs and the tribal knowledge of veterans who are retiring, so repairs take too long.
why it matters
Your best maintenance engineer retires next month; the agent runs the whole triage→work-order→dispatch loop from tribal knowledge, with a human on the release.
how we’d deliver it
We build an agent that reads the manuals and incident logs, ranks likely causes, drafts the work order, checks parts and schedules the crew — a planner approves the job.
who it’s for
Maintenance and reliability leaders; planners and technicians.
when it bites
When mean-time-to-repair is high or experienced troubleshooters are leaving.
evidence Copilots + RCA cut MTTR 30–40% in analogous ops (McKinsey)