Diagnosing AI data maturity and deploying an intelligent agent ecosystem.

Challenge

The group, an international player in natural health, wanted to anticipate the impact of Generative AI by identifying low-value activities across the organization.

The challenge was to structure a transformation trajectory covering Marketing, E-commerce, Business Development and R&D, while assessing the maturity of the existing Data infrastructure.

AI Discovery & Agent Builder

We ran a full “Moving Up the Stack” diagnostic to move from raw data to business agents.

The work combined data maturity assessment, high-ROI use case prioritisation and the design of a multi-agent ecosystem using LLMs and n8n automation.

Impact

Operational efficiency: repetitive tasks across three key departments can be automated, freeing time for strategic analysis.

Adoption acceleration and technology roadmap: leadership and operational teams were aligned on Generative AI practices, with a target architecture to deploy future agents securely and at scale.