AI Intelligence Case Studies
Real assessments. Structured findings. Strategic clarity.
The AI Presence Assessment (AIPA) is a component of the Artificial Intelligence Identity Assessment (AIIA).
When AI Recognises Your Brand But Learns Everything About You From Someone Else
A fast-growing regional airline appeared consistently across major AI systems. Our assessment revealed that almost every citation originated from third-party sources — not from the airline itself. The organisation was visible. It was not in control.
Read Case Study →When AI Knows Your Brand But Still Recommends Your Competitors
One of the country's largest financial institutions had achieved exceptional brand recognition across every major AI system. Yet when customers asked AI which provider to choose, competitors were consistently recommended first. Recognition and recommendation are not the same thing.
Read Case Study →When Institutional Authority Does Not Translate Into AI Recommendation
A nationally recognised bank demonstrated strong institutional visibility across all assessed AI systems. The moment customers asked product-specific questions, competitors took the recommendation position. Market leadership did not transfer to AI recommendation.
Read Case Study →Why the Right Recommendation Was to Delay AI
A rapidly growing food distribution company wanted AI to reduce waste and improve forecasting. Our assessment concluded they were not yet ready. Introducing AI at this stage would have accelerated inconsistency. We recommended building the foundation first.
Read Case Study →When the Biggest Barrier to AI Was One Person
A successful wholesale distribution business wanted AI to improve customer service and reduce the owner's workload. Our assessment found that every critical decision ran through a single individual. The greatest obstacle was not technology. It was organisational dependency.
Read Case Study →Transforming a Logistics Operation From Manual Coordination to Intelligent Operations
A regional logistics company with strong physical assets and experienced leadership wanted to explore AI-driven efficiency. Our assessment found disconnected systems and manual coordination at every layer. AI was capable of creating value — but only after the digital foundation was in place.
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