Finding a procedure, drafting a reply or processing a document: we start with a real task to identify where AI can help your team. Sources, permissions and review points are agreed from the outset.
A document assistant that helps a team find information in its procedures and documentation, with references to available sources so people can check the answer.
A workflow that extracts useful information from a request, prepares its classification and presents the details for approval before updating your business application.
Writing assistance that drafts a reply from a selected context, with human review and a data scope suited to the task.
We examine the current work with the people doing it: what they look for, the information they use and the mistakes that cost time. We also consider document quality, updates and existing permissions. This assessment may lead to conventional automation when it better meets the need.
An initial scope lets us compare expected and generated answers. Tests include representative requests, missing information and ambiguous documents. We define how the tool communicates its limits, shows sources and hands over to a person when an answer needs checking.
The solution fits into a workflow your team can use. We define source access, permitted actions and the approvals required before a business system is changed. Deployment includes the agreed tests and documentation; support and subsequent changes follow the arrangements we agree together.
Not as a prerequisite. Searching selected sources can provide useful context without training a new model. We first examine what the system needs to find or produce. Adaptation or specialised training can be considered when the task and available data justify it.
The scope is explicitly defined. We identify the necessary sources and user permissions, then design access accordingly. Adding a source must not expose its information to someone without permission. These cases are included in the planned checks.
We agree observable criteria before development: finding the right procedure, drafting a usable answer or reducing specific manual steps. The prototype is evaluated against your working situations, helping you decide whether to continue, adjust the scope or choose another solution.
Integrate AI, build an application or rethink your data architecture. Tell us about your situation and we’ll discuss the options.
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