Start with one
useful workflow.
Find where AI can help, understand the information it needs, and choose a deployment your organization can operate.
Discuss your workflow ↗AI Workflow & Data Control Review
A focused look at one part of your business: what takes time, where knowledge lives, and what a useful result would look like.
- Map the workflow, information sources and people involved.
- Identify access, storage and processing requirements.
- Compare practical options, including improving existing tools.
- Receive a scoped recommendation, indicative costs and a next step.
The recommendation may be to defer AI or solve the problem another way. The review is a deliverable in its own right.
Turn the recommendation into a working application.
Implementation is tailored to the agreed workflow. Start with selected information sources, supported user access and clear criteria for checking the result.
Knowledge retrieval
Help staff find relevant material in internal documents, with source references and appropriate access controls.
Document workflows
Support tasks such as preparing first drafts, finding reusable proposal material or summarizing a defined collection, with human review.
Scope, dependencies, acceptance criteria and responsibilities are agreed before the build.
A practical home for the application.
A sovereign deployment: the application and its data can run on-premises or in a VM operated by your existing IT provider. Inference can be supplied separately by an agreed provider, with the data flow documented end to end.
- Installation requirements and configuration documented.
- Ownership of updates, backups and recovery agreed.
- Support access and incident escalation defined.
- Data export and eventual handoff considered from the start.
Ongoing support can be scoped separately; dedicated inference hardware is not required.
Have a task in mind?
Tell us what your team is trying to do and where the information lives. That is enough to start a useful conversation.
Contact us ↗