Can Ivee Fix The Workplace AI Training Gap?

Each month, Lucky Saint’s London sales team have to visit over 400 pubs that serve its alcohol-free beer on draft. Until recently, planning these visits entailed manually grouping venues and plotting routes, taking at least an hour per day for each salesperson. Since they started working with London-based workplace AI training company ivee, the team have been using AI to cluster venues by location and automate their route planning. Ivee says the change has returned roughly five hours per week to each salesperson ay Lucky Saint, allowing the team to spend more time with pub managers and visit 20% more pubs each week.

Whilst this may sound modest compared to the autonomous agents and wholesale job redesign often promised by the technology industry, it also illustrates the problem ivee is trying to solve. Businesses are buying increasingly capable AI systems, then leaving employees to work out where those systems fit into their jobs.

Ivee’s answer is an AI Learning Companion that works alongside existing tools, including ChatGPT, Claude, Gemini and Copilot. It can improve and score prompts, recommend a more suitable model, build a reusable prompt library and, eventually, identify repeatable tasks that could become automations. The beta is being tested with selected companies and users, with a wider public release planned for 23rd October 2026.

Although the prompt improver is the main product, it opens the door to whether ivee can become a training layer between workers, AI models and the systems in which work actually happens.

AI Adoption Is Outpacing Employee Capability

The key issue is that simply granting access to tools does not lead to useful adoption of them. It can produce unused licences at one extreme and uncontrolled experimentation at the other, with employees repeating weak prompts, choosing unnecessarily expensive models or placing sensitive data into tools that have never passed procurement.