Bid and proposal teams work to tight deadlines, reusing content and drafting at speed — exactly where AI helps, with strategy and quality kept human. Here’s how UK bid teams can use AI in 2026. (dgm implements osFoundry as an independent partner.)
Where AI helps bid teams
- drafting proposal sections;
- reusing and adapting past winning content;
- compliance checking — responses against requirements;
- research — buyer and topic; and
- tender-document summarisation.
AI accelerates the drafting- and content-heavy work so the team focuses on strategy, win themes and quality.
Strategy and quality stay human
AI can draft first passes and adapt past content quickly — but winning bids depend on strategy, win themes, tailored insight and quality that stay with the team. Unedited AI content rarely wins; human judgement and tailoring are essential.
Reuse your winning content — accurately
A high-value, accurate use case: retrieving from your library of past proposals and approved content (retrieval/RAG) and adapting it — rather than generating from scratch. This keeps content accurate, on-message and consistent with what’s won before, while saving time. The team reviews and tailors the result. (See RAG explained.)
Data control
Keep commercial, client and bid data controlled (self-hosting or an EU region), minimise what AI processes, and avoid consumer tools. Bid content is commercially sensitive and may include confidential client information.
Where osFoundry and dgm fit
dgm builds data-controlled bid AI on osFoundry: retrieval over your content library, data control (self-hosting or an EU region — it publishes US/EU/JP regions, not a UK one), and audit. For public-sector bids, see our G-Cloud and selling AI to the public sector guides.
dgm is an independent integration partner with zero integrations so far — no client claims. To scope a bid AI project, book a consultation with dgm. General information only.