Rule-based workflow
Fixed sequences with clear conditions — quick to implement, fully traceable.
What can be automated with AI
Classic process automation often failed on unstructured input: free-text emails, PDFs with changing layouts, phone notes, images. That is exactly where AI comes in. Language models and document recognition understand content, classify it and hand structured data to the next steps.
This brings processes within reach that were considered “too individual” — from the incoming-invoice workflow through quote creation to handling customer enquiries in service.
From workflow to AI agent
Not every process needs an agent. For each use case we choose the degree of automation that best balances benefit, risk and operating effort.
AI-supported step
A single step uses AI, e.g. classification, extraction or a text draft; the rest stays rule-based.
Assisted process
AI prepares decisions, a person checks and approves — human in the loop as standard.
AI agent
The agent plans and executes multi-step tasks, accesses systems and flags defined cases for review.
Process analysis as the starting point
In the Use Case Discovery we document your processes with those involved: triggers, steps, systems, exceptions, monthly volume and the points where things get stuck. Modelling in BPMN 2.0 makes effort and benefit comparable and is at the same time the specification for implementation.
The analysis yields a process map with management, core and support processes — and an evaluation matrix showing which use cases should be implemented first.
Integration into your system landscape
Automation only takes effect when embedded in ERP, CRM, DMS and mail system. We design interfaces, define data flows and set guardrails: what may the system do itself, what is presented for review, what is logged?
Whether operation is in the cloud, on premise or hybrid is decided by the TCO assessment together with data protection and security requirements.
- Connection via existing APIs, connectors or middleware
- Roles, permissions and approvals from your company are carried over
- Complete logging for traceability and audits
- Transparency obligations under Art. 50 EU AI Act considered for customer contact
Making benefit measurable
Every use case gets KPIs that are measured before and after automation: lead time, handling effort, error rate, response time. The TCO-based business case sets these effects against the running costs for models, operation and maintenance. Automation stays not a promise but a verifiable result.