10 things we learned running rapid AI experiments
Read about what DBT's AI teams learned as they ran rapid AI experiments to improve ways of working across the department.
Read about what DBT's AI teams learned as they ran rapid AI experiments to improve ways of working across the department.
When I.AI closed their Redbox product in December 2025, DBT had already diverged substantially from that original platform. Two years of user research and iteration created something distinct, shaped by the specific needs of civil servants working with Official Sensitive material.
As use of generative AI grows, so does the opportunity to meet businesses’ quests for information. Only if DBT’s online content is designed to meet users’ needs.
Read how DDaT's Monitoring and Evaluation team designed an evaluation methodologly to capture data from a M365 Copilot trial.
How the Monitoring & Evaluation team designed tools to assess the impact of DBT's AI interventions.
How DBT used a Large Language Model to increase knowledge sharing and improve its Market Access Service
How our Redbox trial showed us how generative AI can improve our ways of working.
Impressions from the initial roll-out of the AI governance framework form.