Customer service is high-volume and repetitive at the front, complex and human at the back — a perfect split for AI assistance. Here’s how UK customer service teams can use AI in 2026. (dgm implements osFoundry as an independent partner.)
Where AI helps customer service
- enquiry triage and routing;
- response drafting for agents;
- knowledge retrieval from your knowledge base;
- case summarisation; and
- self-service that deflects routine questions.
AI handles routine volume so agents focus on complex and sensitive cases — with a clear route to a human always available.
Keep a human route
AI can handle routine, low-risk enquiries (with grounded answers and clear escalation), but customers should always be able to reach a human, and complex/sensitive cases go to agents. The robust approach is AI-assisted agents plus carefully-scoped self-service — not fully autonomous handling. (See human in the loop.)
Accuracy through grounding
AI stays accurate by grounding answers in your real knowledge base (retrieval/RAG), ideally with sources, and keeping agents reviewing significant responses. Integrating AI with your helpdesk and knowledge base is what makes responses accurate and current rather than made-up. (See RAG explained.)
Data and transparency
Customer data is personal data under UK GDPR — keep it controlled, be transparent about AI use, and don’t paste customer data into consumer tools.
Where osFoundry and dgm fit
dgm builds data-controlled customer service AI on osFoundry: retrieval over your knowledge base, human escalation built into workflows, data control (self-hosting or an EU region — it publishes US/EU/JP regions, not a UK one), and audit. (See also our customer support teams guide.)
dgm is an independent integration partner with zero integrations so far — no client claims. To scope a customer service AI project, book a consultation with dgm. General information only.