Data teams handle queries, analysis and documentation at volume — and set the data-governance bar. Here’s how UK data and analytics teams can use AI in 2026. (dgm implements osFoundry as an independent partner.)
Where AI helps data teams
- query and code assistance (SQL, Python);
- analysis support;
- documentation and data dictionaries;
- report narrative generation; and
- answering questions about data.
AI accelerates routine analytics and documentation so data professionals focus on modelling, interpretation and decisions.
Interpretation stays human
AI can write and explain queries, draft narratives and surface patterns — but interpretation, statistical rigour and decisions stay with data professionals. AI can produce plausible but wrong analysis, so verify outputs and ground them in real, well-understood data.
Govern AI’s data access
Control which datasets AI can access (least privilege), keep sensitive data in your environment (self-hosting or an EU region), apply access controls and audit, and prevent data going to ungoverned consumer tools. AI access should follow the same controls as any data access. (See AI governance.)
Where osFoundry and dgm fit
dgm builds data-controlled analytics AI on osFoundry: access controls and SSO, data control (self-hosting or an EU region — it publishes US/EU/JP regions, not a UK one), bring-your-own-key, and audit. Datasets may contain personal data under UK GDPR, so we design for minimisation and control.
dgm is an independent integration partner with zero integrations so far — no client claims. To scope a data-team AI project, book a consultation with dgm. General information only.