CASE STUDY

ATNi (Access to Nutrition initiative) is a global foundation actively challenging the food industry, investors and policymakers to shape healthier food systems. ATNi analyses and translates data into actionable insights, driving partnerships and innovations for market transformation so that all people have access to nutritious and sustainable food. ATNi publishes research and indices to provide stakeholders with the robust data and analysis they need to measure company performance, track progress, and engage in progressive dialogue with a solid evidence base.

ATNI'S CHALLENGES

• Gathering data across disparate sources and analyzing a large number of companies in a timely and efficient manner

• Limited resources and a small research team

• Ambition to cover more companies and increase research frequency to advance the organization’s mission

SOLUTION

Improvability AI worked closely with ATNI to understand their research process and sources of information used. Improvability AI provided initial and ongoing training to enable analysts to understand the most effective way of structuring prompts and utilizing various information sources.

ATNI created a structured evaluation process to assess the quality of responses topilot the technology to demonstrate accuracy and time saved versus existing manual research methods.

RESULTS AND FUTURE VISION

During the 6-month pilot, ATNi observed an increase in satisfactory output and obtained favorable results. While exact time savings were not quantified, the benefits led to plans for applying the tool to a major Index in 2025. The organization is also considering its use for marketing, communications, and additional automation of evaluation and scoring templates. Furthermore, ATNi is exploring an AI-enabled Nutrition portal to provide consumers, regulators, and policymakers with insights into healthier, more sustainable food markets.