01
Grounded
Base answers and decisions on shared context.
AI & Digitalization
AI that delivers genuine added value emerges from the process—not alongside it.
We combine AI with shared knowledge, business rules, systems, and human handoffs. This transforms a model into a controllable workflow.
02
Controlled
Define confidence, roles, and fallbacks for system actions.
03
Integrated
Connect AI with workflows, APIs, ERP, DMS, or ticketing systems.
04
Human hand-off
Deliberately hand over uncertain, sensitive, or valuable cases.
What AI can actually achieve in business processes
Not every task requires generative AI. We distinguish between understanding, knowledge, assistance, and controlled action.
05
Phone & Language
Identify inquiries, capture information in a structured manner, and pass it on to staff with context as needed.
06
Understanding documents
Recognize document types, extract fields, and flag uncertain values for review.
07
Interne Wissenssuche
Answer questions based on authorized knowledge sources – ideally with source references and permission checks.
08
Inbox-Assistent
Classify inquiries, extract data, prepare drafts, and launch the appropriate workflow.
09
Analysis & Preparation
Summarize business data, highlight anomalies, and prepare next steps for employees.
10
Controlled system action
Permissions, validation rules, and approvals determine what the AI is permitted to read or trigger.
A phone call can be the entry point for a structured workflow.
A voice assistant can understand recurring requests, utilize information from authorized sources, and prepare defined actions. The crucial factor is when—and with what context—a human takes over.
11
Understand the call
Capture the intention, language, and necessary references.
12
Knowledge & Systems
Use only approved information and permitted interfaces.
13
Human hand-off
In cases of uncertainty or sensitive topics, hand over directly and provide a summary.
From input to controlled action.
The technical architecture deliberately separates understanding, verifying, and acting.
14
Input
A telephone call, email, document, or structured data arrives.
15
AI processing
Intent, content, or relevant fields are recognized.
16
Validation
Confidence, permissions, and business rules are checked.
17
System action
Only permitted actions are executed via workflow, API, or RPA.
18
Person
Exceptions and critical cases are passed with context.
AI requires technical and organizational boundaries.
Generative AI should not have more privileges than necessary. Data access, logging, retention, and permissions must align with the specific use case.
19
Permissions
Least privilege for knowledge sources and target systems.
20
Logging
Make actions and handovers transparent and traceable.
21
Data Protection
Check providers, data flows, and retention before going live.
Which input requires a particularly large amount of manual work today?
We first examine the process, data sources, risks, and integrations—and then decide where AI truly makes sense.
The next step
Your process.
Our next quest.
Describe your process. Together, we will clarify the benefits, integration path, and a sensible pilot.