How to scale agent ROI without scaling costs

​Over the past 12 months, Bloom & Wild has rapidly scaled its AI maturity. From initial experimentation to empowering anyone in the organisation to build and run agents. ROI continues to improve but costs are under control.

​Getting there took careful experimentation and planning. In this session, Sam Middleton, Director of IT at Bloom & Wild, walks through the full rollout: early experiments with Gemini, ChatGPT, Gumloop, and other tools to consolidation, reining in the inevitable runaway spend, and the governance model that made org-wide access and experimentation possible.

​Hosted by Aron Korenblit, Head of Community & Education at Gumloop.

​What you'll learn

​Sam Middleton, Director of IT @ Bloom & Wild, will share the real numbers and the agents his team runs today:

• ​Where the value actually showed up when they tested Gemini, ChatGPT, and Gumloop side by side

• ​How they caught runaway agent costs in the numbers, and what they changed

• ​The governance model that decoupled ROI from spend: open source models for efficiency, with room left to experiment

• ​Live demos of agents built across the org, plus the ROI behind them

​Recording will be sent to all registrants.