
AI applications from hype to business value
AI's value goes beyond generative tools. Explore its history and practical applications, from grounded knowledge assistants to prediction, agents and edge deployments.
Applied AI, automation and intelligent engineering in regulated enterprises.
11 resources

AI's value goes beyond generative tools. Explore its history and practical applications, from grounded knowledge assistants to prediction, agents and edge deployments.

AI’s value goes beyond cost savings. Learn how to measure revenue, productive capacity, faster delivery, better decisions, quality and new opportunities.

Connecting an AI service to an enterprise ERP can create a new international data-processing chain. AO Group examines cloud regions, sub-processors, POPIA, GDPR, encryption, retention and the questions organisations should answer before clicking “Connect”.

AI may change how we build, bank, work and make decisions. But the digital future still depends on something remarkably physical: more software, more data, more infrastructure and more energy — built around human needs that have changed far less than our technology.

Automation raises the ceiling on what organisations attempt. AO Group's view on why demand for well-engineered software keeps growing.

Facephi has published research on detecting mule accounts opened with synthetic identities. AO looks at what that means architecturally: identity verification and transaction monitoring can no longer be run as two unrelated controls.

Facephi has published an analysis of the emerging Know Your Passenger model. AO looks at what happens when identity becomes part of the travel architecture rather than a checkpoint inside it, and what airlines, airports and travel platforms have to integrate to get there.

Tazama has released Version 4.0 of its open-source fraud transaction-monitoring platform, adding case management, rule and connection tooling, analytics and AI-assisted intelligence. AO looks at why transaction monitoring is becoming fraud-management infrastructure, and what that means for implementation.

AI can accelerate mapping, profiling and reconciliation in a migration — provided the accountability for correctness stays human.
A discovery session is a working conversation about scope, constraints and what a credible first release looks like.