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Unified Process · AI agents for manufacturing SMEs

Custom AI Agents for Manufacturing Workflows

We design practical AI agents that help manufacturing SMEs reduce manual follow up, improve visibility, and support better decisions across maintenance, inventory, scheduling, reporting, quality, compliance, and daily coordination workflows.

Your first practical step toward smart manufacturing.

● Example agent 01 of 04
MIA
MIA
Maintenance Intelligence Agent
Live demo
Workflow preview
  • 01
    Operator reports issue
    "Extruder 2, temperature fluctuating"
  • 02
    MIA classifies and checks issue history
    Process · 4 prior events on this asset
  • 03
    Routes task and notifies production manager
    Priority assigned · follow up scheduled
→ Manager notification draft
Extruder 2 flagged for follow up. Temperature fluctuation, possibly process-related. High priority
Assessment Agent live Connected operations
The reality on the plant floor

Manual work that should not be manual anymore.

Small and mid-sized plastics and manufacturing teams are running production with tools that leave gaps. Here is where time and visibility leak out.

Maintenance follow up slips through the cracks

Reported issues sit in messages and notebooks. Half get fixed. The rest come back as breakdowns.

No inventory visibility until a shortage hits

By the time you know a resin or component is low, the line is already idle. Reorder windows get missed.

Scheduling lives in spreadsheets and chats

Production plans live in three places. Changes are verbal. Operators find out what changed when it is too late.

Reports arrive too late to act on

End-of-week summaries surface yesterday's problems. Managers cannot intervene on something they cannot see.

How we engage

Four ways to work with us, all rooted in one workflow at a time.

Every engagement starts with an assessment. We map the workflow first, then deliver working agents and ongoing support. No platform for your team to learn.

Build

Custom AI Agent Build

A working agent for one workflow: maintenance, inventory, scheduling, reporting, analysis, quality, compliance, project follow up, or daily coordination.

Scope Project-based
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Retainer

Monthly Automation Support

Ongoing support for agents in production, plus small improvements, additional workflows, and reporting on time saved.

From $750 to $3,000 / mo
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Program

Full Implementation Project

A multi-agent rollout across several connected workflows, scoped end to end with integration and handover.

From $5,000 to $25,000+
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Agents we build

Explore example AI agents.

Each agent targets a single workflow and ships as a working tool. These are starting points. We build agents around your operations, your data, and your tools.

Agent 01 · MIA
Maintenance Follow Up Agent
Problem Reported maintenance issues lose visibility before they are actually fixed.
What it checks Issue type, machine history, and urgency relative to the production schedule.
Example output Prioritized maintenance task with a draft manager notification.
See the demo
Agent 02
Inventory and Supply Check Agent
Problem Shortages on resin, components, or consumables get caught too late, after production is already affected.
What it checks Current stock levels, open purchase orders, recent usage rate, and upcoming production demand.
Example output Daily low-stock summary with a recommended reorder list, ranked by urgency.
Learn more
Agent 03
Production Scheduling Support Agent
Problem Run plans, last-minute changes, and operator updates live across spreadsheets and chat threads.
What it checks Active orders, machine availability, changeover windows, and recent schedule changes.
Example output Clean daily plan with flagged conflicts and a clear change log for the next shift.
Learn more
Agent 04
OEE and KPI Analysis Agent
Problem Operations reports arrive too late to act on, and the real trends in OEE and quality get missed.
What it checks Runtime, output, scrap rate, downtime reasons, and shift-by-shift performance.
Example output Daily OEE summary with the top three issues to look at this shift.
Learn more
One agent in focus

Meet MIA, our first live example agent.

MIA is one of several agents we build. She takes a reported maintenance issue and follows it through, from operator input to a structured task, with the right person notified, every time.

  • Classifies issues by type: mechanical, electrical, process, or quality risk.
  • Checks issue history for the affected machine before assigning urgency.
  • Drafts a manager notification with risk, priority, and a recommended next step.
  • Logs every issue and tracks follow up status so nothing falls off.
M MIA → production manager
14:32 · TODAY
● High priority Process Extruder 2 · Line B

Temperature fluctuation on Extruder 2. Follow up required.

Reported by
M. Alvarez · Shift 2
Recurrence
4th event · 60 days
Production impact
Order #2418 active
Assigned to
Maintenance, D. Park
→ Summary Operator reports zone-3 temperature swinging ±8 °C over the last hour. Pattern matches three prior events on this asset; controller calibration is overdue. Recommend in-shift inspection before the next changeover.
Background

Built by someone who has worked the floor and the data.

UP Manufacturing AI is built on a background in polymer engineering, manufacturing operations, and ERP and MES research, combined with hands-on AI workflow development. Every agent we ship is designed for the way plants actually run, not the way slide decks describe them. The goal is practical: reduce manual work, surface what is slipping, and make follow up reliable.

Polymer Engineering Manufacturing Operations ERP and MES Research AI Workflow Development Process Improvement
Get started

Ready to reduce manual work in your operations?

Start with a workflow assessment. We will map one bottleneck, scope the agent that fixes it, and quote the work, no platform commitment.