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Process automation with Camunda 8

from BPMN to productive software

Camunda 8 workflows for back office and manufacturing. Document AI for incoming invoices, approvals and supplier workflows.

We digitalise workflows that today run manually through your case handling and manufacturing. Camunda 8 as backbone, Kafka for eventing, document AI for unstructured inputs.

When do you need this?

Your back office runs in Excel and email chains

status is nowhere reliable, ownership is unclear.

You have a process

with clear steps that runs manually only because no off-the-shelf tool fits.

You have BPMN diagrams,

but nobody has turned them into productive code.

You want to measure

how long each step takes — and where the bottleneck sits.

What we deliver

Camunda 8 workflows

from BPMN diagram to productive application with webhooks, service tasks and human tasks.

Document AI

for classification and data extraction from incoming invoices, delivery notes, applications.

Event-driven architectures

with Apache Kafka for scalable, decoupled steps.

Escalation and SLA logic

SLA breaches escalate automatically.

Dashboards

for business and management — lead times, bottlenecks, SLA fulfilment.

Integration with legacy systems

SAP, Microsoft Dynamics, ProAlpha, Salesforce, custom case-management.

Methodology

  1. 01

    Analysis call

    60 minutes on one concrete process — where time is lost and which step is the biggest lever.

  2. 02

    Next step

    if the scope is clear, you receive an offer. For more complex processes we model the as-is and target state first (Domain Storytelling, BPMN) in a paid concept phase — including which steps get automated, which are supported and which stay manual.

  3. 03

    Implementation

    once commissioned, we build the workflows including happy path and escalation paths, delivered in 2-week sprints.

  4. 04

    Rollout & operations

    go-live in the real process, then operations and further development on request.

From real projects

A process that does not stop at a workflow diagram.

The Montron PM Tool connects mobile-captured work data, validation rules, corrections and approvals into one office flow.

  • Bring the data together

    Site report, time-and-material slip and GPS trip data (Streetwatch) sit side by side for each day.

  • Validate automatically

    The reconciliation marks days as OK, notice or error.

  • Correct with a trail

    Original data from the mobile capture stays intact. Corrections are stored separately, with an audit trail.

  • Approve and document

    Approval creates an immutable snapshot and PDFs for hour records and customer records.

Montron PM-Tool showing day report, time-and-material slip, Streetwatch and validation overview

Typical use cases

Possible scenarios. Not a description of a delivered project.

  • Incoming-invoice workflow

    with document AI + Camunda + ERP integration (industry back office)

  • Claims processes for insurers

    from intake via triage to payout

  • KYC onboarding for banks

    automated pre-check, escalated compliance step

  • Supplier onboarding for industry

    master data, NDA, order confirmation as end-to-end workflow

  • Citizen-request management for public sector

    intake, classification, processing

Camunda experience

We have used Camunda 8 (cloud or self-managed) productively since the first versions and have experience with:

Camunda Cloud

for lightweight workflows without infrastructure overhead

Self-managed

for data-residency requirements (EU AI Act, NIS-2, DORA)

Migration from Camunda 7 to 8

in productive environments

Integration into Spring Boot back-ends

and React front-ends

Tasklist UI

and custom front-ends for case handling

Frequent questions

Do we need Camunda Cloud or self-managed?

Depends on data residency and compliance. We assess this in the analysis call and recommend the fitting variant.

Can you take over existing BPMN diagrams?

Yes. We import existing diagrams and check them for completeness and implementability.

How do you integrate document AI into the workflow?

As a service task in the Camunda process. Document-AI service returns structured data, the workflow continues based on it.

What happens with model errors?

Every AI-driven step has a human escalation path. Confidence thresholds and audit logs are standard.

Which process costs your team time every day?

In a free analysis call we look at it together and clarify whether automation makes sense.

60 minutes · no obligation