PulseMQ's built-in AI agent uses Claude on AWS Bedrock to give every operator, supervisor, and engineer a natural-language interface to your entire MES. Ask questions, dispatch jobs, troubleshoot issues — no training manual required.
192°C vs setpoint 185°C. That's likely causing the speed reduction (thermal protection). Want me to check the recipe parameters?
180°C, Z2: 183°C, Z3: 185°CNot a chatbot with canned responses. A real AI agent with tool access to your live production data, machine configs, recipes, and work orders.
Ask "why is OEE low?" and get a breakdown of availability, performance, and quality with root cause analysis tied to real-time machine signals.
Query active jobs, scheduled work orders, output records, and material lots across any machine. "What's running on the mixer?" works.
Create maintenance tickets, check PM counters, and investigate alarms. The agent understands which machine, which component, and links everything to the current job.
Track material lots from receiving through production. "What lot is loaded?" and "Where did lot PVC-001 go?" both work with full genealogy.
Get help configuring machines, understanding ISA-88 recipes, or troubleshooting ISA-106 state transitions. The agent knows your data model inside and out.
Don't remember the exact machine name? Say "the saw" or "mixer 1" and the agent fuzzy-matches it to the right machine, product, or recipe.
Traditional MES assistants are keyword lookups with canned responses. PulseMQ's agent understands context, reasons about your production data, and improves with every interaction.
The agent is seeded with complete knowledge of ISA-88, ISA-95, ISA-106, Sparkplug B, OEE calculations, recipe management, and PulseMQ's data model. It doesn't just parrot — it understands.
Not a prompt-and-pray chatbot. The agent has structured tools — GetMachineStatus, GetJobDetails, SearchProducts, CreateMaintenanceTask — that query live DynamoDB data through your API.
Operators get quick status answers. Supervisors get production summaries and dispatch options. Admins get configuration guidance. Same agent, different depth based on who's asking.
As your production data grows, the agent gets better context. New machine configurations, recipe changes, and historical patterns all enrich future answers. The system learns your factory.
Enterprise-grade AI infrastructure. No self-hosted models, no GPU servers, no prompt engineering on your part.
PulseMQ's AI agent turns every operator into a power user. Natural language, real-time data, zero training curve.
See the AI Agent Live