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Summarise long documents, identify differences, and surface open questions.
AI assistants
An AI assistant helps your team write, summarise, and work with documents. We set up a familiar chat interface and, where useful, connect selected knowledge sources with appropriate access controls and a hosting model that fits.
Illustrative workflow. Access and sources are defined for your project.
Summarise long documents, identify differences, and surface open questions.
Draft a response for customers or colleagues using approved information, ready for review.
Search selected policies or product documents and see sources to consult.
Example question
What information do we need before setting up a new supplier?
Possible assistance
The assistant prepares a checklist from approved purchasing documents, points to its sources, and flags missing information. Your team checks the answer; decisions and approvals stay with the responsible people.
Fictional example, not a client reference. Source references support checking; they do not guarantee a correct answer.
Start with selected model services. We review data flows, terms of use, and expected costs with you.
A dedicated hosting environment or your own infrastructure. Models, computing capacity, and operations are selected for the workload.
You do not need your own GPUs to get started. Where self-hosting fits, Open WebUI and vLLM can form part of the solution. We evaluate model quality on your tasks and plan document permissions, updates, and deletion.
Where useful, we connect the assistant to your processes. A reviewed draft could be added to the CRM after approval, for example. Access and permitted actions are explicitly limited.
We agree the objective, stakeholders, and requirements, then propose a scope and estimated effort.
A focused pilot tests whether the solution helps in practice. We review results and exceptions together.
Documentation, training, and clear responsibilities support rollout. Ongoing support is agreed around your needs.