Government
Public accountability, Canadian institutional context, records, accessibility and governed decision support.
Explore →Industries
Institutional AI enablement changes with the institution.
A model, agent or GPU can appear in many sectors. The laws, information, institutional responsibilities, risk tolerances and human consequences around them can be completely different.
Sector architecture
Start with the institution, then choose the intelligence environment
AFA does not sell one AI architecture to every sector. We begin with what the organization must protect, understand, decide and deliver.
Higher Education
Research IP, student/faculty use, institutional knowledge, teaching and commercialization.
Explore →Healthcare
Sensitive information, trusted knowledge, human authority and Canadian healthcare context.
Explore →Research
Unpublished findings, emerging IP, datasets, sponsored work and secure AI environments.
Explore →K–12 Education
AI literacy, educator capability, safe use and age-appropriate institutional governance.
Explore →Enterprise
Proprietary knowledge, workflows, agents, private AI and competitive capability.
Explore →Manufacturing & Infrastructure
Physical AI, robotics, simulation, inspection, operations and workforce knowledge.
Explore →Energy & Critical Infrastructure
Resilience, sensitive operational information, edge systems and bounded AI authority.
Explore →Financial Services
Information protection, model/agent governance, auditability and regulated workflows.
Explore →Common foundation
One AFA architecture, different sector emphasis
Strategy, sovereignty, models, knowledge, agents, people and human authority are shared layers. Each industry page emphasizes the dimensions that matter most to its real obligations rather than repeating a generic technology pitch.
Continue the journey
Related pathways
Tell us what your institution is responsible for.
AFA can help translate those responsibilities into a practical AI starting point.
Discuss Your Sector