AI-supported process automation

We show you how to make existing processes smarter with AI – for greater efficiency, speed and customer satisfaction.

Start your process automation with AI

Artificial intelligence is changing the way processes are executed and optimized.
AI-supported process automation not only digitizes workflows, but also makes them intelligent – by identifying information, preparing decisions and executing tasks automatically.

AI expands the field of application of process automation:
It makes processes capable of learning, recognizes patterns and makes context-related decisions. This allows tasks that previously required human judgment or manual review to be automated – with greater speed, quality and transparency.

We combine Business Process Management (BPM), Decision Automation (DMN), Intelligent Document Processing (IDP) and AI agents to create an integrated approach that makes processes smarter, more efficient and more customer-oriented.

Higher degree of automation thanks to AI-supported process logic

Faster decisions and shorter lead times

Improved service quality and customer satisfaction

Automatic detection, validation and prioritization of tasks

Learning processes that continuously improve

Integration into existing workflow and decision-making platforms

Higher degree of automation thanks to AI-supported process logic

Faster decisions and shorter lead times

Improved service quality and customer satisfaction

Automatic detection, validation and prioritization of tasks

Learning processes that continuously improve

Integration into existing workflow and decision-making platforms

Use cases for AI-supported process automation

Intelligent Document Processing (IDP)

AI analyses unstructured content from emails, scans or forms, recognizes relevant information and automatically transfers it into digital workflows. This significantly speeds up capture, checking and filing steps.

Automated application and verification processes

AI evaluates data, recognizes correlations and makes preparatory decisions. This reduces processing times and ensures transparent, traceable processes - from application to approval.

AI agents for process control

Virtual agents take on tasks within workflows: They monitor processes, recognize exceptions and control follow-up actions independently. This increases process stability and responsiveness.

Knowledge and correspondence automation

AI automatically creates responses, documents or notifications based on process data. This improves communication and speed in customer service and administration.

Decision support and rule augmentation

AI supplements rule-based decision models (DMN) with data-based recommendations. This makes decisions faster, more consistent and more comprehensible.

Process analysis and optimization through AI

Machine learning models identify patterns, bottlenecks and deviations. These findings flow directly into process optimization - for continuous improvement and greater efficiency.

We support you in integrating artificial intelligence into your process automation in a targeted manner - as an extension of your existing workflows, decision-making logic and specialist processes.

Our approach: use AI where it creates real added value – to measurably improve efficiency, transparency and customer experience.

We support you in setting up new AI-supported processes as well as in expanding existing automation solutions – for example with intelligent document processing, AI agents or decision automation.

Analysis of processes and identification of potential AI applications

Development and integration of AI agents in workflows and decision logics

Automation of document-based processes with IDP

Development of data- and rule-based decision-making mechanisms (DMN + AI)

Monitoring, performance analyses and continuous optimization

Governance and empowerment for the responsible use of AI

Analysis of processes and identification of potential AI applications

Development and integration of AI agents in workflows and decision logics

Automation of document-based processes with IDP

Development of data- and rule-based decision-making mechanisms (DMN + AI)

Monitoring, performance analyses and continuous optimization

Governance and empowerment for the responsible use of AI

Why AI-supported process automation with it-novum?

We combine process automation and artificial intelligence into an integrated approach. As a partner for workflow, decision and AI technologies, we help you to use the potential of AI in a targeted and responsible manner – not as an end in itself, but as an amplifier of your process strategy.

Combination of workflow, decision-making and AI expertise

Integration of AI agents and IDP into existing systems

Explainable, comprehensible AI models instead of "black boxes"

Scalable, open architecture based on proven standards

Demonstrable added value through higher speed and quality

Improved service and customer experience through intelligent automation

Combination of workflow, decision-making and AI expertise

Integration of AI agents and IDP into existing systems

Explainable, comprehensible AI models instead of "black boxes"

Scalable, open architecture based on proven standards

Demonstrable added value through higher speed and quality

Improved service and customer experience through intelligent automation

Drei Open Source Workflow Engines im Vergleich

Welche Engine passt zu Ihrem Anwendungsfall: Activiti, Camunda, Flowable

Stehen Sie vor der Herausforderung, die richtige Technologie für Ihre Prozessautomatisierung zu wählen? Feature-Listen allein helfen hier selten weiter – entscheidend ist Ihr konkreter Anwendungsfall.

Im Webinar am 05. März 2026, 10:00 – 10:45 Uhr

präsentieren wir Ihnen ein praxisnahes Entscheidungsmodell, mit dem Sie:

  • Open-Source-Engines systematisch einordnen,
  • teure Fehlentscheidungen und Architekturfehler vermeiden
  • und die drei Technologien Activiti, Camunda und Flowable fundiert vergleichen können.
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