When the platform needs a specialist extension
Add orchestration or document integrations for a defined requirement, without rebuilding the core workspace.
Editorial analysis and illustrative technical scenarios. They do not define the features or integrations included in a UTOMAI subscription. See Private AI On-prem pre-launch information.
Some teams need more than a configured assistant and an approved document set. They may need several systems consulted in sequence, a changing external repository or an action reviewed before it reaches a business application. Those are extension requirements around the platform.
Describe the missing capability
Write the input, desired output, systems involved and the person responsible for approving the result. Confirm which part the current UTOMAI configuration already supports. This avoids treating a new framework as a substitute for a clear requirement.
Let implementation follow the scope
Libraries and workflow tools can help implement an agreed extension, but the website should not imply that every customer needs them or that they are installed in every deployment. The delivery team selects compatible components, reviews licences and validates how they work with the shared platform.
Review the new data flows
A connection may change which documents are read, where content is processed or which credentials can perform an action. Revisit access, storage, inference and continuity choices. A Private AI installation does not make a new cloud connector local.
Syncronika can assess custom workflows, system integrations and bespoke agents through a separate proposal. The core remains UTOMAI: a private AI platform the team can already adopt. Extensions should add a specific capability with clear responsibilities and costs.
