Five layers that build on each other, from a governed data foundation to AI agents and predictive models. Start at any layer; we make sure the foundation underneath can carry it.
We bring siloed systems, spreadsheets and documents into a central platform with data quality rules, master data and lineage, so every report and AI system reads the same numbers.
Strategy and KPI dashboards with drill-down to operations, plus governed self-service so managers answer their own questions without raising a request.
We automate approvals, document handling, notifications and handoffs between systems. Every automated action is logged.
Agents read, decide within set rules and act across email, documents and business systems. Answers cite their sources, and anything high-risk waits for a person to approve it.
Where prediction pays for itself, we train, deploy and monitor models in production, with clear explanations of what drives each score.
Both have an agreed price, timeline and deliverable before work begins.
A review of data, processes and policy. You receive a prioritised roadmap of use cases with effort, value and risk for each, and a pilot proposal.
Secure deployment of Claude or ChatGPT for staff, with usage policy, data controls, connectors to approved internal knowledge and hands-on training.
Live demonstrations, a discussion of your priorities, and a written proposal for an assessment or pilot within five working days.