Product teams drown in research, feedback and documentation — exactly what AI can synthesise. Here’s how UK product teams can use AI in 2026. (dgm implements osFoundry as an independent partner.)
Where AI helps product
- user-research synthesis;
- feedback and support-ticket analysis at scale;
- documentation and PRD drafting;
- summarisation; and
- prototyping and copy support.
AI accelerates the research- and documentation-heavy work so product managers focus on strategy, prioritisation and decisions.
AI informs, doesn’t decide
AI can synthesise research, surface themes and draft documentation — but product strategy, prioritisation and decisions depend on judgement, user empathy and business context that stay with the team. AI is a research and drafting accelerant, not a decision-maker.
Accurate feedback analysis
AI analyses feedback accurately by grounding in your real feedback, tickets and research data, surfacing themes with traceability to the source, not the model’s general knowledge. Product managers review AI-surfaced themes before acting.
Data control
Keep user and customer data controlled (self-hosting or an EU region), minimise what AI processes, and avoid consumer tools. Research data often includes personal data under UK GDPR.
Where osFoundry and dgm fit
dgm builds data-controlled product AI on osFoundry: retrieval and analysis over your feedback and research, data control (self-hosting or an EU region — it publishes US/EU/JP regions, not a UK one), and audit.
dgm is an independent integration partner with zero integrations so far — no client claims. To scope a product AI project, book a consultation with dgm. General information only.