Workflow automation & hyperautomation

Connecting workflows, rules and AI – for faster decisions, efficient processes and true end-to-end automation.

Intelligent workflow automation for consistently smart processes

Many organizations today have digitized individual processes – but real efficiency only comes about when workflows, rules, data and intelligence are combined. This is exactly what workflow automation & hyperautomation does. With modeled workflows, rule-based decisions and AI-supported process logic, processes can be fully automated – from capture to decision.

Hyperautomation combines technologies such as business process management (BPM), decision automation, intelligent document processing (IDP) and AI agents to make processes not just digital, but intelligent. The result: faster decisions, more efficient processes and a measurably better customer experience.

End-to-end automation of workflows, checks and decisions

Faster throughput times and responsive processes

Integration of AI agents for intelligent process control

Automated validations, checks and rule decisions

High transparency and traceability thanks to modeled logic (BPMN, DMN)

Future-proof, open architecture

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 workflow automation & hyperautomation

End-to-end automation of application and verification processes

From recording to decision: Workflows, IDP and decision automation interlock. AI agents perform validations, check criteria and make preparatory decisions - quickly, comprehensibly and scalably.

Approval and release processes with decision logic

Complex checking and approval processes can be automated using combined workflow and rule models. Specialist logic, responsibilities and escalation paths remain completely transparent.

Automated document and data processing (IDP)

Incoming documents are automatically classified, information is extracted and transferred directly into workflows. This creates a continuous, seamless process flow - without manual data entry.

AI-supported process control and decision support

AI agents analyse process contexts, recognize patterns and initiate follow-up actions - e.g. prioritization of cases, risk assessments or routing decisions. This significantly improves decision quality and reaction speed.

Rule-based process and exception handling

Business rules are modeled, maintained and executed centrally via Decision Automation. This allows exceptions to be handled automatically without having to adapt or reprogram processes.

Process analysis & continuous optimization

Integrated monitoring and analysis functions make runtimes, bottlenecks and degrees of automation visible. This turns hyperautomation into a learning system that is constantly improving.

We support you in implementing automation solutions - right from the start or through targeted further development and scaling of existing approaches

Whether you are just starting out or already running your first productive workflows: We help you to take processes, decisions and data flows to the next level – through the intelligent use of AI agents, decision automation and intelligent document processing (IDP).

Our aim is to take a holistic approach to automation: from the process model to the decision-making logic and intelligent control. To this end, we develop flexible architectures that can be gradually expanded and seamlessly integrated into your existing IT landscape.

Analysis and modeling of new or existing processes (BPMN 2.0)

Implementation and expansion of workflows and decision logic (DMN)

Integration of AI agents and IDP components to automate complex processes

Development of rule-based test and release logics

Development of dashboards, monitoring and process analyses

Training, operation and continuous optimization

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

Workflow automation and hyperautomation with it-novum

We combine process knowledge, architecture expertise and AI experience to create a holistic approach to modern automation. Our solutions are based on open standards wherever possible and have a modular structure – from the workflow engine to the decision logic.