Reuse knowledge
Find references and approaches in project material selected for the workspace.
Consulting and IT services
Project knowledge, beyond a single team.
Methods, documentation and project knowledge in a shared AI space. Configure assistants for defined tasks, with selected sources and access.
All sectors
Illustrative image generated with AI.
The context
Your knowledge, in context.
Every project produces knowledge that can remain isolated in separate folders. UTOMAI helps teams consult approved material, reuse methods and prepare documents, keeping different clients' information appropriately separated.
- Methods and procedures
- Project documentation
- Internal guides and knowledge
Practical applications
Where you can start.
Three examples to assess against your documents and chosen configuration.
Support onboarding
Make procedures, technical documentation and approved methods available to new colleagues.
Prepare project documents
Create outlines, summaries and initial drafts with a configured assistant, retaining team review.
Illustrative examples, not customer results. Features, models and supported formats are confirmed in the offer; integrations and bespoke work have a separate scope.
One platform. Your choice of infrastructure.
In the cloud.
Or in your company.
Workspace, knowledge, agents and automations. Choose the deployment around your data, your team and how you want to operate.
Continuity policies and approved fallback routes are defined for each Cloud configuration. Cloud locations, models and continuity
A few practical questions
Before you start.
Start with approved sources: Methods and procedures, Project documentation, Internal guides and knowledge. Selection, supported formats, updates and permissions are confirmed for the chosen configuration.
Connections to project tools, ticketing and repositories can be assessed separately. Interfaces, access, data flows and costs are checked before an integration is included in the offer. This does not mean every connector is already available or included in the fee.
Both are private AI deployment modes. Dedicated Cloud uses dedicated servers in Italy; On-premise uses a dedicated machine at the customer site with local model execution. The choice depends on data, access, workload and operations; backups, external services and sector requirements need assessment within the agreed scope. Deployment alone does not establish regulatory compliance.
Explore other sectors.
Start with your documents and your team.
Together, we assess the first useful application, access requirements and the deployment that fits your organisation.