How it works
The process stays, the effort goes
AI plus automation take over the manual work between intake and result. Workflows complete routine tasks. Complex tasks go to the AI agent. Existing systems, tools and processes stay in place — manual effort is replaced.
Starting point
Your processes work — but they are expensive and slow
Cases arrive by email, phone or Teams. Data and documents live in SharePoint, file stores and business systems. People read, check, transfer and trigger the next step.
Target state
The process stays. Workflow and AI take over the handling
Tasks come in by email, phone or chat. AI analyses the input. Routine tasks with defined steps and rules are completed by workflows. Complex tasks go to AI agents. Both use the tools and systems you already have. Your people monitor the process and its results and step in when needed.
The building blocks
Three layers connect systems, workflow and AI
A reliable data foundation, integration into workflows and systems, and the involvement of AI agents form the basis of every solution.
- DAS Agent Layer
- Connects the company's AI agents (e.g. Claude, ChatGPT, Copilot) to cases, data and tools.
- DAS Operator
- Controls intake, rules, checks, approvals, handoffs and access to systems and tools.
- DAS Storage Layer
- Manages data storage and access, links and validates data from different sources.
Setup and administration
DAS Operator Studio
The admin interface for configuration and operations. Designed to be used with AI agents. Set up via chat — no manual, no frustration.
Microsoft 365
Working with the tools you know
Requests arrive by email or Teams. Documents live in SharePoint or OneDrive. Cases and results are reflected in your existing systems.
- Outlook and Microsoft Teams
- Capture cases, ask questions and deliver results.
- SharePoint and OneDrive
- Read, file and update documents.
- Business systems and interfaces
- Check data, write entries and trigger work.
Operations
More than software
Success is measured by the effort saved. Processing times and results are tracked in day-to-day operations. If the savings don't clearly show, we adjust.
Where do we start?
Volumes, effort and exceptions show where automation pays off. Let's find the biggest lever!
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