The value of an AI application depends on how it fits into everyday work. We connect the application to existing systems so that employees can use relevant information and complete a workflow without repeatedly copying data between tools.

Define what each connection can do

We review the available interfaces, authentication methods and data structure before selecting an integration approach. The scope distinguishes reading information from creating or changing records, and identifies actions that require an employee’s approval.

Typical projects include document assistance within an ERP workflow, summaries alongside customer records, draft preparation and internal search through a company portal. The final scope depends on the interfaces available in your systems.

Handle failures as part of the workflow

An integration needs to deal with more than successful requests. We define how it reports invalid data, retries interrupted operations and avoids duplicate updates. Logs and operational alerts help your team understand what happened and what needs attention.

Permissions should follow the user and the task. We use the access granted for the project and document how credentials and connected accounts are maintained.

Deliver something your team can operate

We test the complete workflow with representative records and agree on the handover process. Documentation covers the data exchanged, expected behavior and the responsibilities of each connected system.

Integrations can form part of workflow automation, a conversational assistant or a complete AI implementation.

What you receive

Working integrations with the agreed business systems
Documented permissions, data mappings and failure handling
Instructions for employees and the team operating the integration