AI agents that make processes productive.
We develop AI agents that don’t just support recurring business processes, but actively execute them—integrated into ERP, CRM, DMS, and existing workflows. With clear guardrails, human-in-the-loop, and measurable quality targets, we make agent automation productive and controllable.
Why agent automation
From chatbot to operational process chain
AI assistants help with analysis, research, and drafting. AI agents execute defined process steps: they use approved data, orchestrate workflows, and transfer results to ERP, CRM, or DMS—within clear guardrails.
Humans remain responsible: agents take over repetitive tasks, while departments review and decide where judgment is required.
Agent architecture – example flow
Agent
System
Human-in-the-loop
Our Services
What we build for you
From process analysis to production agent operations—all building blocks for operational AI automation.
Process analysis & agent design
Systematic identification of automatable process steps, definition of agent roles and orchestration logic—aligned with your IT landscape and governance.
Orchestration & workflow integration
Linking multiple AI agents into end-to-end process chains with defined handover points, error handling, and structured feedback.
Human-in-the-loop design
Defining where human review and approval take place. Transparent escalation paths for critical decisions and exceptional cases.
System connectivity & data integration
Structured connectivity to ERP, CRM, DMS, and other source systems via APIs and secure connectors. Agents access only defined, approved data.
Monitoring & quality control
Ongoing monitoring of agent performance: success rates, cycle times, error logs, and feedback loops for continuous improvement.
Governance & compliance integration
Embedding agent automation into existing governance structures: role concepts, audit trails, data protection policies, and EU AI Act compliance.
Typical use cases
Where agent automation delivers impact today
These process types are particularly well suited to orchestrated AI agents—because they are data-intensive, rules-based, and frequently recurring.
Finance & Controlling
Incoming invoice verification
Automatic extraction, validation, and assignment of incoming invoices—with matching against purchase order line items and an approval workflow.
Procurement & contract management
Contract data extraction
Structured analysis of supplier contracts: terms, notice periods, price clauses, and risk indicators automatically captured and categorized.
IT service & support
Ticket classification & routing
Automated categorization of incoming service tickets by urgency, topic, and responsibility—with solution suggestions and escalation logic.
HR & People Operations
Onboarding process orchestration
Orchestrating the sequence of steps in employee onboarding: system access, training planning, hardware ordering, and status tracking.
Sales & Marketing
Lead qualification & enrichment
Automatic enrichment and scoring of incoming leads based on internal and external data points—with prioritized handover to Sales.
Compliance & legal
Regulatory monitoring
Continuous monitoring of relevant regulatory changes, automatic summarization, and assignment to affected business areas.
Design principles
Why our automation is robust
AI agents are only productive when they operate within clearly defined guardrails. Our automation solutions follow four core principles that ensure reliability and controllability.
Traceability
Every agent step is logged. Decisions are traceable, results reproducible.
Controlled autonomy
Agents act within defined boundaries. Critical steps require human approval.
Modular design
Agents are developed modularly and can be extended, adapted, or replaced independently.
System integration
Agents work with your existing systems—ERP, CRM, DMS—rather than alongside them.
Delivery model
From the first process to
scalable agent operations
01
Process selection
Identifying the processes with the highest automation potential—based on effort, frequency, and data quality.
02
Agent prototype
Rapid development of a working agent for the prioritized process—with real data and defined quality targets.
03
Integration & pilot operation
Connecting source and target systems, setting up human-in-the-loop mechanisms, and running a supported pilot in the business unit.
04
Scaling & operations
Gradual rollout to additional processes, building the monitoring framework, and handover into continuous operations.
Additional AI building blocks
Agent automation in combination
Sovereign AI
AI Transformation Lab
Assess automation potential in two weeks!
Talk to us about your operational processes, existing systems, and the automation potential in your organization—we will show you a realistic entry point.
Competent Advice at Your Side
Our Expert for Your Concerns
Thomas Pietrzykowski supports organizations in not only positioning AI strategically, but also making it productively usable. His focus is on developing pragmatic AI architectures, evaluating relevant use cases, and implementing secure, scalable solutions across existing business processes.
With 25 years of experience in software engineering, enterprise architecture, cloud, DevOps, and digital transformation, he combines technological depth with operational implementation experience. He is familiar with modern AI platforms, automation tools, and integration approaches not just from consulting, but from direct practical application—from prototyping and system integration to governance, operations, and scaling.
His strength lies in translating business requirements into actionable technical solutions. In doing so, he brings international leadership experience, experience in regulated environments, and a deep understanding of data, interfaces, security, and operating models.
