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CYBERMECH SYSTEMS

Workflows · AI agents · Industrial automation

Workflow & Process Automation

We automate the repetitive work between people and systems: reading invoices and orders, routing requests, chasing approvals and copying data from one system to another. Fixed rules handle the predictable steps, AI reads documents and emails, and a person decides whenever money, safety or a customer is at stake.

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Capabilities

What we deliver

We build the workflows on engines such as Camunda, Temporal or n8n, or as Python services, and connect them over REST, GraphQL and EDI — and on the shop floor over OPC UA and PLCs. Every run is logged, so you can see what happened to each document and why.

  • Supplier invoices read, checked and booked into the ERP
  • Emailed and PDF orders entered without re-typing
  • Service requests turned into reviewed work orders
  • Multi-department workflow orchestration
  • AI agents for invoices, emails, service requests and exceptions
  • ERP approval chains and robotic task sequencing
  • Event triggers, live data capture and AI rules
  • REST, GraphQL, OPC UA and EDI integrations
An automated production cell: a gantry loads products onto a conveyor, a vision system inspects each one and a gate diverts defects. PLC and edge gateway connect the line to a workflow engine, an AI agent and the ERP.

Examples

What this looks like in practice.

Interactive previews of systems we build where Automation plays a central role. Use them — every button works.

Choose a system — its live preview opens below

AI agents · Workflow automation

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AI agents that run back-office workflows

Agents that read documents, query the ERP and machine data, apply your policies and act — with every step traced and a human approval wherever the stakes are high.

  • Agents with scoped tools for ERP, email, telemetry and documents
  • Policy guardrails and human-in-the-loop approvals
  • Full execution trace for audit and continuous improvement
  • Retrieval over manuals, contracts and past cases

Try it: Pick a scenario and run the agent. When it asks for approval, the decision is yours.

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Interactive preview with illustrative data. Client names and branding are omitted.

What you get

Built for real operating conditions.

  • 01 /

    Touch-free processing

    Orders, service tickets, and compliance checks move automatically from request to settlement.

  • 02 /

    Agents with guardrails

    AI agents handle the unstructured work — documents, emails, exceptions — within your policies, and hand decisions to people when it matters.

  • 03 /

    Unified control

    One dashboard for live status, SLA timers, and exception alerts.

  • 04 /

    Self-healing logic

    Automatic retries and fallback paths maintain uptime when systems misbehave.

  • 05 /

    Audit-ready records

    Every step is logged with its time, its input and who approved it — the evidence ISO, SOX or GDPR audits ask for.

  • 06 /

    Ready for peaks

    Workflows run in containers and scale out, so month-end volumes don't slow anything down.

Target outcomes

Targets we agree before we build.

< 2 min
from a received invoice to a checked draft booking
100%
of exceptions routed to a person, with the reason attached
≤ 12 months
payback targeted when the process is selected

Illustrative targets, not results of named clients. Baselines and acceptance criteria are agreed for each project.

Technology

Tools we trust

We handle discovery, design, deployment and 24/7 support options, so automation keeps working — and every exception still reaches the right person.

  • Python
  • BPMN
  • LLM Agents
  • MCP
  • REST
  • GraphQL
  • OPC UA
  • EDI
  • PLC / SCADA
  • Docker
  • n8n
  • Node-RED
  • Camunda
  • Temporal
  • MQTT
  • RabbitMQ
  • Ignition
  • Siemens TIA Portal
  • … and more

A selection of our tools and frameworks. We choose what fits your requirements, integrations and team.

FAQ

Automation — FAQ

Straight answers about how we work. Can't find yours? Ask us directly.

What can be automated?

Approval chains, order and ticket processing, compliance checks, data synchronization between systems, and robotic task sequencing — any repeatable workflow with clear rules or data triggers.

What is the difference between classic automation and AI agents?

Classic automation follows fixed rules and is ideal for structured, predictable steps. AI agents handle the unstructured parts — reading documents and emails, investigating exceptions, drafting replies — and call the same tools and approvals. We combine both so each step uses the most reliable approach.

What results can we expect from automation?

That depends on the process, so we measure it first: volume, handling time and error rate. Together we then agree targets — for example invoices booked in under two minutes with every exception reviewed by a person — and check them at acceptance.

Do you provide support after go-live?

Yes. We handle discovery, design, deployment and 24/7 support options so automations stay reliable over time.

Automation

Ready to move from idea to a working system?

Tell us about your goals and constraints. We'll come back with a clear technical direction and next steps.