All teams
Finding company information
Ask about selected company material, such as procedures and internal guidance, then review the source.
A starting point with references to check
AI in practice
Practical ways to put AI to work.
Examples of how AI can help find information, understand documents, prepare text and summarise material. People check the results and remain in control of decisions.
01 · Company knowledge
Find useful information and procedures.
Use selected company material to find guidance, answers and references. Sources remain available for review.
02 · Documents
Understand and compare documents.
AI can help navigate long documents, find passages and prepare a summary to check against the original.
Professional & technical teams
Understanding and comparing documents
Find passages, compare document versions and prepare a summary for review against the originals.
A document summary or comparison to review
03 · Drafting and replies
Prepare a first draft for review.
From supplied information or approved material, AI can help organise content and suggest a reply or outline. The team remains in control of sending, tone and commitments.
Customer Support
Preparing customer replies
Use approved FAQs or manuals to organise information and prepare a reply draft for review.
A draft for the team to check before sending
Sales
Preparing sales material
Turn supplied product information and notes into an explanation or proposal outline.
A first draft to verify before sharing
More examples: draft FAQs from approved material or turn notes into a communication to complete and review.
04 · Summaries and reports
Give information a useful first shape.
Summarise supplied reports, notes and documents, organise recurring themes and prepare an outline for discussion. Figures and conclusions need to be checked against their sources.
Management & Operations
Summarising reports and notes
Organise key points and recurring themes from supplied material into a draft for review.
A summary to check against its sources
A clear scope
Examples to adapt to your context.
These examples describe assistance, not guaranteed outcomes or customer case studies. Sources, formats, models, access and availability depend on the agreed configuration and deployment.
UTOMAI provides an AI workspace on dedicated cloud or on-premise infrastructure. Examples are assessed against the team’s actual work and material.
Connections to CRM, ERP or other systems, automatic sending and operational actions require a separate assessment and scope.
A few practical questions
Questions about use cases.
No. They are generic examples of tasks where AI may help; they do not describe measured customer results.
These examples show support for people, such as finding information or preparing a draft. Automation and actions in other systems are not implied and need separate assessment.
It depends on available sources, information quality, the task and the selected configuration. Important answers should be checked against their sources.
Start with a concrete, well-defined task. Together, assess the information to use, people involved, expected output and checks needed.
No. The examples describe work in the workspace using agreed sources and configuration. Connections to CRM, ERP or other systems and automated actions require separate assessment.
Start with a concrete task.
Tell us about the work you want to support. Together, we’ll assess sources, people involved, expected output and required checks.