Agentic Workflows
Automate multi-step business processes with AI agents that connect systems autonomously.
Many processes consist of several manual steps across different systems, such as checking, matching and forwarding. Agentic workflows chain multiple AI steps with clear guardrails and escalation rules so routine processes run autonomously, while humans remain involved in critical decisions.
- Significantly shorter cycle times.
- Fewer manual handoffs between systems.
- Higher consistency in routine decisions.
Process cycle time
Time to value
Fully automated cases
Manual error corrections
Derived from process runtimes and case volume in the pilot process before and after introducing the agents.
- 01
Process selection
Select a suitable, rule-based process with clear system boundaries.
- 02
System integration
Set up interfaces to CRM, ERP or ticketing systems.
- 03
Guardrails & escalation
Define rules for autonomous steps and human approvals.
- 04
Test operation
Parallel operation with monitoring and evaluation sets.
- 05
Go-live
Gradual expansion to further process variants.
Steps
Data sources
Stakeholders
From first data access to production – every step delivers a tangible interim result.
ERP system
Order, purchase and master data.
CRM
Customer data and case history.
Ticketing systems
Request and processing status.
Process documentation
Rules and exceptions of the workflow.
API interfaces
Technical connectivity to involved systems.
Approval & audit log
Traceability of all automated decisions.
Process owners
Faster, more consistent process execution.
IT operations
Clear interfaces instead of siloed solutions.
Compliance
Traceable, auditable decision paths.
Management
Measurable efficiency gains in core processes.
Significantly shorter cycle times.
Fewer manual handoffs between systems.
Higher consistency in routine decisions.
Relief for employees to focus on complex cases.
Full traceability through audit logs.
With a solid data foundation this use case gets faster, cheaper and far more stable.
A stable API landscape is a prerequisite for reliable agents.
Central monitoring detects malfunctions early.
A unified permissions model safely limits agent autonomy.
Existing process data speed up guardrail definition.
Email & ticket triage
Triage results can be processed automatically downstream.
Meeting & minutes assistant
Identified tasks can be transferred directly into workflows.
Code & migration assistants
Recurring technical steps are executed agentically.
Internal Enterprise GPT
A company-owned chat assistant that reliably answers questions on processes, policies and expertise.
Document Chat (RAG)
Search large document sets via chat instead of manually digging through contracts and reports.
Service & Repair Assistant
Technicians get precise repair guidance on-site, drawn from manuals and ticket history.