What can an AI agent actually do in a factory?
In a factory, an AI agent decides autonomously within limits your team sets. Concretely, it can raise a maintenance work-order from live telemetry, release or quarantine a batch from vision data, raise a purchase request from consumption data, or recommend the next job on a machine. Every decision is logged and every high-impact action stays gated by a human.
Talk to an engineer about thisThe four decisions that show up most often
The four use cases with the clearest signal-to-noise ratio in enterprise manufacturing today are maintenance, quality, procurement and scheduling. Each maps to a real decision a human is making dozens of times a day; the agent takes the routine cases and escalates the exceptions.
What the agent does not do: replace safety-critical control loops, decide sourcing strategy, or set organisational policy. Those stay with humans and with the deterministic control layer underneath.
What "within limits" actually means
Every agent runs against a policy set your domain owner signs off on. Thresholds, cost caps, escalation triggers, and confidence floors are all human-set. The agent operates below those ceilings, and above the confidence floor. Anything outside the envelope goes to a human, always with the inputs that led there.
Where the agent explicitly stops
Line stops, statutory audit-facing entries, sourcing decisions for new vendors, and any change to the agent’s own policy are hard-stopped as human-only. This is a deliberate design choice, not a technical limit. Agents that ignore this boundary produce audit trails nobody trusts.
Related questions
Ajinkya has shipped MES, IIoT and computer-vision quality inspection at reference enterprise manufacturers including JSW Steel, Hindalco Industries and Samsung Electronics. Concrete production agent deployment counts by role: [NEEDS DEPLOYMENT NUMBER].
References and scope
External references explain the underlying technology or regulatory context. Ajinkya pricing, schedules and project results are company provided estimates or examples, not independently audited industry benchmarks. Confirm scope and current requirements before making a purchasing decision.
What would this look like at your plant?
Share your production process, current systems and the problem you want to solve. An engineer, not a salesperson, replies.
Step 1
An engineer reads it
Not a sales bot. Our team replies within 24 hours with questions or times for a call.
Step 2
30 minute call
Your process, machines, systems and the number you want to move. We tell you honestly if we are a fit.
Step 3
A written scope for one line
What we would connect, what you would see, how long it takes. You decide; nothing starts without your approval.
Free scoping call. We start with one line, never change your machine logic, and you own the code and the data.
Reviewed by Amey Kadle, Founder, Ajinkya Technologies. Last reviewed: .