Develop AI agents and integrate them with your systems.
An agent becomes useful when it can work with your business information and tools. We connect it to the IT systems it needs and agree with your team how it will handle tasks, make results reviewable and pass on exceptions.
Your outcome
From a planned workflow to a working agent.
Your team can use the agent within a clearly defined workflow. Typical cases and exceptions have been tested, with access permissions and approvals documented. The introduction shows how to review results and who takes over when the agent needs support.
Implementation
How we deliver your outcome.
Set up and connect
We set up the agent and connect the systems it needs. The available integrations depend on interfaces and access permissions.
Build in rules and approvals
We define which tasks the agent handles independently, when approval is required and when it hands over to a named person.
Test and introduce
Together, we test typical cases, incomplete information and errors. Your team learns how the workflow operates and receives clear documentation.
Which IT systems can be connected?
Available interfaces, data formats and permissions are decisive. We assess ERP systems, document libraries, mailboxes and CRM in the context of the planned workflow. Integration feasibility is established for your specific systems.
How is quality checked before launch?
Using an agreed test set: valid inputs, missing information, conflicting sources, duplicate cases and technical failures. We review results and handovers with your team. A pilot starts only after the agreed acceptance criteria are met.
What determines cost and implementation scope?
The number and accessibility of systems, data quality, required approvals and testing effort. A limited first workflow makes these factors tangible. External model and running costs are considered separately from implementation.
Working together
Working together through handover.
Your team contributes real cases and subject-matter feedback. DTG connects the systems and tests the technical implementation. Together, we agree which results need approval and how exceptions are handled.