Applied AI across institutions and public systems

Explore our applied work across education, agriculture, small business adoption, municipal services, utilities, and independent AI assurance.

AI in education

AI in education

We apply AI in education with a focus on evidence, evaluation and responsible deployment. Our work assesses model accuracy, fairness and performance in real learning contexts before systems are taken into wider use.

Featured Implementations:
  • Independent evaluation of an oral reading fluency model
AI in agriculture

AI in agriculture

Applying AI in agriculture requires more than technical capability. It requires an understanding of farmer needs, delivery systems, data governance and the conditions for adoption. Our work spans farmer advisory, farmer-centric data governance and building the evidence base for responsible AI adoption across agrifood systems.

Featured Implementations:
  • AI advisory in agriculture, Andhra Pradesh
  • Farmer-centric data governance
AI for MSMEs

AI for MSMEs

For MSMEs, moving from AI interest to adoption requires a clear understanding of readiness, constraints and implementation requirements. Our work focuses on identifying where AI can add value and building practical pathways for adoption.

Featured Implementations:
  • Advancing AI adoption among India's MSMEs
AI for utilities

AI for utilities

For utilities, AI applications need to be assessed against real operational conditions before they are taken into procurement. Our work focuses on creating environments where AI can be tested against operational data, generating evidence to inform adoption decisions.

Featured Implementations:
  • A shared AI sandbox for water utilities
AI for public services and government

AI for public services and government

Our work focuses on applying AI within public systems, frontline decision-making and citizen-facing services. The examples span different government contexts, including citizen services, agriculture and MSME adoption.

Featured Implementations:
  • A GenAI citizen services assistant for Kampala
Monitoring, evaluation and responsible AI

Monitoring, evaluation and responsible AI

Our evaluation experience informs how we assess AI for performance, safety, fairness and impact. We build the evidence and governance needed to support responsible adoption and informed decisions on improvement and scale.

Featured Implementations:
  • An AI evidence portal for a MEL programme
  • AI across food and agriculture systems
Start a conversation

Explore how APLYD can support your institution.

From independent evaluation and system design to sovereign deployment and frontline adoption.