Speed
Traditional MES / consulting
Slow
6-12 month projects per workflow
Generic AI / vibe coding
Fast
Days or weeks, but requires developers
Workerbase AI
Minutes
Ops team builds it. No IT queue.
Close your shopfloor execution gaps
The all in one AI platform for shopfloor digitization
Every worker connected to the knowledge they need. Every process deployed in days. Every action tracked from trigger to close.
Trusted by manufacturing leaders at
Build
Easily digitize any frontline process
Describe a process in plain language. The App editor and modular components turn it into a running shopfloor app. No six-month project.
Govern
Simple governance for AI solutions
Every app approved before it runs, versioned, reversible, and fully audited. Compliant by architecture.
Empower
Empower your entire workforce
Workers get answers and AI-guided troubleshooting at the station. Operations teams build without waiting on IT. Supervisors see everything, chase nothing.
How it works
The four core functions of the platform.
One platform, four building blocks that work together, from the App editor and worker UI down to the automations that run the process.
- 1
App editor
Assemble apps from tested modules and guide workers at the station on tablets, phones, and wearables.
- 2
Integrations into your existing systems
100+ prebuilt connectors to ERP, MES, SCADA, and sensors for real-time context. No middleware project.
- 3
Workerbase databases for shopfloor data
Structured, versioned data managed inside the platform and queryable from every workflow.
- 4
Automations for processes and business logic
Encode triggers, escalations, and write-backs once. Every workflow runs the logic consistently.
01
App editor
Guide workers at the station
02
Integrations
100+ systems, real-time context
03
Data layer
Shopfloor data managed for you
04
Automations
Business logic in every workflow
AI for everyone on your shopfloor
Empower your entire workforce.
One platform that Builds fast, Governs by design, and Empowers every role, from the station to the plant office.
Frontline workers
Digital support for every task
Guided instructions at the station, plus AI agents on hand to troubleshoot in seconds.
Supervisors
Real-time visibility. Zero manual reporting.
Auto-generated shift summaries and escalations routed to the right person, so issues surface before they become problems.
Operations teams
Accelerate digital transformation and OpEx
Ship improvements as fast as you can describe them. Compounding gains on every process you digitize.
What gets solved on the shopfloor
Real Problems. Solved With AI. Running in Factories.
Each use case runs inside the same enterprise-grade execution engine – proven across 60+ plants in automotive, heavy industrial, and logistics.
Phase 1: AI Assists
Instant answers. Right at the station.
Workers ask in plain language and get answers pulled from manuals, SOPs, and machine history, without interrupting an expert.
Live at the station
Questions workers ask on shift, answered in context.
LINE 3 · MACHINE C3-A · SHIFT A
Alarm 002 active
WORKERBASE AI · KNOWLEDGE
Sensor fault: conveyor unit C3-A
- Check optical sensor at position 14
- Clean lens with dry cloth
- Reset via HMI panel. Confirm green
Source: Maintenance Guide v4.2 · Last resolved March 14 by J. Schmidt
View full guide
Start checklist
SHIFT INSIGHT · REWORK · LAST 3 DAYS
- Misalignment42%
- Missing torque sign-off31%
- Wrong revision18%
47 rework events · Line 2 accounts for 60% · All three shifts affected
Knowledge Assistant
Natural language Q&A across your full factory knowledge base. No prompt engineering needed. Workers ask in plain language. Answers come with direct links to source documents.
Data Insight Assistant
Troubleshooting support, shift handover summaries, rework guidance, product history. Connected to shift reports, SOPs, manuals, maintenance logs, checklists.
Data Collection Assistant
Structured capture of machine interruptions, rework events, quality feedback. Voice or text input: AI structures the data automatically, consistently, every time.
Automated shift summaries
Auto-generated, structured, ready in seconds. Multi-language support built in.
Phase 2: AI Creates
Workflows built in minutes, not months.
Build turns a plain-language prompt into a running shopfloor app. Four building blocks handle everything from the worker UI to the business logic behind the scenes.
Preview in Agent Builder
Describe once. The engine proposes structured steps you can review and deploy.
Operations manager describes:
“When a machine alarm fires on line 4, notify the on-call technician, pull the last 3 maintenance logs, and trigger a checklist based on the fault code.”
AI Agent Builder generates
1
Trigger: Machine alarm detected on Line 4
2
Notify: Certified technician (skill-matched, on-shift)
3
Attach: 3 recent maintenance logs + fault code checklist
4
Escalate: If unacknowledged after 10 min → supervisor alert
5
Close: Verify completion + write back to CMMS
Review
Deploy now
App editor
Describe the workflow. The editor assembles an app from tested modules, ready for the station on tablets, phones, and wearables.
Integrations
100+ prebuilt connectors to ERP, MES, SCADA, and sensors. Real-time context, no middleware project.
Databases
Shopfloor data managed inside Workerbase: structured, versioned, and queryable from every workflow.
Automations
Business logic encoded once and applied to every workflow. Triggers, escalations, and write-backs handled automatically.
Phase 3: AI agents improve continuously
AI agents drive continuous improvement.
Every workflow run creates structured execution data. AI agents analyze it continuously, surface patterns, and propose ready-to-deploy improvements, not another dashboard.
Execution intelligence
Week-over-week analysis becomes a deployable workflow, not another dashboard.
AI Insights: Week 14 analysis
Bottleneck detected: Line 7 handover
Avg. 23-min delay at shift handover on Line 7. Occurs 4x per week. Root cause: incomplete inspection logs at close of shift.
Escalation pattern: Fault code E-44
67% of E-44 escalations resolved by the same fix. Current workflow skips it. 3 unnecessary supervisor callouts per week.
AI proposes
Update Line 7 shift-close checklist
Add mandatory inspection sign-off before handover. Estimated time saving: 20 min/shift.
View details
Deploy improvement
Pattern detection
AI identifies recurring bottlenecks, escalation hotspots, and process gaps across thousands of workflow runs. Surfaced before they become production problems.
Ready-to-deploy suggestions
Improvement proposals come as editable workflows, not reports. Review, adjust, and deploy in minutes. The execution engine handles rollout.
Compounding execution data
Every new workflow adds to the dataset. The more Workerbase runs, the more precisely AI can identify what slows your lines down and what fixes it.
Closed-loop improvement
Improvements deploy into the same execution engine. Results feed back into the next analysis cycle. Continuous improvement becomes a system property, not a project.
What changes
Before and after.
Before
With Workerbase AI
Finding information
Paper trails, multiple screens, phone calls to the one person who knows
Instant answer at the stationPhase 1
Training new staff
Weeks of shadowing and tribal knowledge transfer
AI-guided onboarding, live knowledge base from day onePhase 1
Shift handover
Manual and inconsistent. Things get lost or misunderstood at every handover.
Auto-generated, structured, completePhase 1
Knowledge retention
Leaves with the worker when they go
Embedded in the system, available to everyonePhase 1
Creating workflows
Weeks of consulting, IT tickets, change requests, and waiting
Describe it. AI builds it. Live in days.Phase 2
Reacting to problems
Supervisor scrambles, manual workarounds, same issue repeats next week
AI-generated workflows from alarm to closure. Every intervention logged.Phase 2
Finding information
Before
Paper trails, multiple screens, phone calls to the one person who knows
With Workerbase AI
Instant answer at the stationPhase 1
Training new staff
Weeks of shadowing and tribal knowledge transfer
AI-guided onboarding, live knowledge base from day onePhase 1
Shift handover
Manual and inconsistent. Things get lost or misunderstood at every handover.
Auto-generated, structured, completePhase 1
Knowledge retention
Leaves with the worker when they go
Embedded in the system, available to everyonePhase 1
Creating workflows
Weeks of consulting, IT tickets, change requests, and waiting
Describe it. AI builds it. Live in days.Phase 2
Reacting to problems
Supervisor scrambles, manual workarounds, same issue repeats next week
AI-generated workflows from alarm to closure. Every intervention logged.Phase 2
The impact on your daily operations
- Improved OEE
- Higher FPY
- Faster Training
- Reduced Downtime
Made to support workers in their day-to-day operations.
Built with frontline operators in mind. Workers solve problems independently, without waiting for experts or hunting through documentation.
Context before conversation
Workerbase already knows the task, machine, and status before displaying anything. Only need-to-know information is shown. No generic answers.
Learns from behaviour, not just documents
Captures how experienced workers actually solve problems: which steps they skip, adjustments they make, workarounds they use when standard procedures don't apply.
Embedded in workflow
Lives inside work instructions, dashboard alerts, and maintenance tasks. Workers never leave their screen or switch to a separate app.
Integrates with existing systems
Connects to your ERP, MES, SCADA, and machine controllers through prebuilt connectors. No middleware, no data lakes, no six-month IT projects.
Why it's different
Fast isn't enough. It has to be controlled.
Most AI tools were built for offices. Here's what that means when you try to use them on a production floor.
Control
Traditional MES / consulting
High
Rigid but governed
Generic AI / vibe coding
Low
Non-deterministic, no audit trail, no governance
Workerbase AI
High
Deterministic output, role-based guardrails, human-in-the-loop
Net result
Traditional MES / consulting
Controlled but slow
Generic AI / vibe coding
Fast but risky
Workerbase AI
Fast AND controlled
Coming soon
Workerbase AI MCP Server.
Connect your AI agents, LLMs, and enterprise tools directly to Workerbase's execution layer. The MCP server exposes live shopfloor data (tasks, assets, workflows, shift status) to any AI model in real time.
- Query live shopfloor data from any LLM Ask Claude, GPT, or any MCP-compatible agent about what's happening on your floor right now.
- Build custom AI applications on your factory data Expose Workerbase execution data to your own AI workflows without custom integrations.
- Connect your enterprise AI stack Plug Workerbase into n8n, Copilot Studio, or any orchestration layer via the MCP protocol.
MCP Request
AI Agent asks
workerbase.getShiftStatus({
plant: "line_4",
date: "today"
})Workerbase responds
Line 4 · Shift A · 6 open tasks. 2 overdue escalations. OEE: 84%. Last alarm: conveyor fault at 09:14, resolved in 11 min. Shift handover scheduled in 47 min.
AI Agent asks
workerbase.triggerWorkflow({
template: "alarm_response",
asset: "conveyor_C3"
})Common questions.
Results customers are measuring in production
“The Workerbase platform ensures that our processes run smoothly, issues are resolved quickly and production operates with fewer interruptions.”Read the full story
Jens Bruecker
Vice President Plant Zuffenhausen, Porsche
12-15% productivity improvement across 10+ use cases per factory
Shopfloor digitalization at scale, from assembly to quality to maintenance.
35% reduction in production downtime. 3,500 additional bikes per year.
One process automated. Immediate, measurable impact on output.
80% of manual shopfloor processes automated
From paper-based operations to fully orchestrated execution in months.
The Execution Layer for AI in Manufacturing.
Pick the problem that costs you the most. We'll have it running in weeks.