Introduction
Digital workers – your new AI colleague
MR.KNOW combines the open BPMN 2.0 standard with artificial intelligence, low-code/no-code and middleware. The result: digital workers you deploy like staff – for consulting, sales, service, administration, finance and production.
Challenge & vision
By 2035 Germany alone will face a gap of 4 to 6 million workers – while costs in the "war for talent" keep rising.
Our vision
- Preserve existing knowledge
- Automation instead of recruiting
- Solve the skills shortage
- Meet requirements e.g. EU AI Act
- Digital workers as colleagues
- Holistic processes & solutions
Process
How does it work?
Analyse the job profile
We look at your real structures, workflows and time-consuming tasks.
Configure the worker
The requirement profile becomes your digital worker as Assistant, Agent or Worker.
Connect systems
Seamless integration into your landscape (ERP, CRM, HR) – completely AI-neutral.
Productive & measurable
Fast ROI through live prototypes and calculable low-code solutions.
Model
Your digital helper: Assistant, Agent & Worker
Digital Assistant BPMN rule-based
Works strictly according to compliance and process rules. Perfect for structured rule sets and guided case handling – even in high-security areas.
Digital Agent AI-powered
Understands unstructured data, emails and contracts using LLMs and takes over complex checks and decisions.
Digital Worker Autonomous AI orchestration
Solves whole processes autonomously and connects individual AI agents into teams – without media breaks between legacy systems and web APIs.
Easy creation
Configure your digital worker quickly via no-code and AI – without extensive programming.
Fast ROI
Measurable relief for your staff with calculable costs and transparent value creation.
Frequently asked questions
The most important questions to get started with digital workers.
What is a digital worker?
A digital worker is a configurable, AI-supported software colleague that takes over defined tasks of a job profile. MR.KNOW distinguishes three automation levels: Digital Assistant (BPMN rule-based), Digital Agent (AI/LLM-powered) and Digital Worker (autonomous AI orchestration).
How is a digital worker different from traditional RPA?
Traditional RPA automates user interfaces by clicking and is error-prone when things change. A MR.KNOW digital worker works process-based on the open standard BPMN 2.0, combines rule-based flows with AI and connects systems directly via interfaces – transparent and low-maintenance.
What does a digital worker cost?
The cost is calculable and depends on scope and automation level. Compared with a classic position, there are no ancillary wage costs; the worker operates around the clock and scales by configuration.
How quickly is a digital worker ready to use?
You typically see a working live prototype within a few days. A fully trained digital worker is productive in around 10 days on average – without weeks of recruiting.
Is MR.KNOW GDPR-compliant?
Yes. MR.KNOW relies on GDPR-compliant architectures, is AI-neutral and can run as a high-security SaaS cloud or as an on-premise installation in your own data centre.