Atheni secures £350K to help teams use AI more effectively

2026-05-28 · Source: Tech.eu - Tech.eu · Field: Business & Management — Operations & Process Management, Corporate Strategy & Leadership · Depth: Intermediate, quick

Summary

Atheni, an AI adoption company, has secured £350,000 in funding from angel investors, including Alex Chesterman OBE, and Innovate UK, to expand its platform. The company, founded by Mackenzie Howe and Louise Ballard, developed its methodology over two years of client work, focusing on embedding AI guidance directly into daily workflows rather than relying on traditional training. Its browser-based platform, the Atheni Accelerator, provides employees with personalized, role-specific guidance for using AI tools like ChatGPT, Claude, and Copilot. This initiative aims to move organizations beyond basic AI use, addressing the challenge of achieving meaningful AI adoption despite widespread access. Atheni reports consistently achieving adoption rates above 90 percent within 90 days across sectors such as education, manufacturing, and financial services. The company is currently rolling out the platform with existing clients, with plans for a future funding round.

Key takeaway

For Directors of AI/ML or VPs of Data struggling with low AI adoption rates despite tool access, consider shifting from generic training to embedded, role-specific guidance. Your teams can achieve over 90% adoption within 90 days by integrating AI support directly into daily workflows. Focus on platforms that measure practical usage and impact on critical thinking, ensuring your organization truly uses AI's broader potential beyond basic use cases.

Key insights

Effective AI adoption stems from embedding role-specific guidance directly into daily workflows, fostering "master craftspeople."

Principles

• Embed AI guidance into workflows, not just standalone training.
• Measure practical AI adoption, not just access.
• Personalize AI guidance for specific roles.

Method

The Atheni Accelerator provides browser-based, personalized, role-specific guidance for AI tools and measures capability and adoption improvements.

In practice

• Implement in-workflow AI guidance platforms.
• Tailor AI tool usage to specific job functions.
• Monitor AI adoption rates and impact on work quality.

Topics

• AI Adoption
• In-workflow Guidance
• AI Tools
• Organizational AI Strategy
• Employee Capability
• Seed Funding

Best for: CTO, Executive, Investor, Director of AI/ML, Consultant, VP of Engineering/Data

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Editorial summary, takeaway, and curation by AIssential. Original article published by Tech.eu - Tech.eu.