CAIM case studies
CAIM · Put your knowledge to work in context.
The Certified Artificial Intelligence Manager (CAIM) is a vendor-neutral credential aimed at people who are accountable for AI outcomes rather than for writing the models themselves: product and programme managers, team leads, consultants, and functional managers moving into AI ownership. It tests whether you can set direction and govern it, build a defensible business case, make sound decisions about data and infrastructure, run delivery across a solution's lifecycle, manage risk and regulatory obligations, organise people and change, and keep systems healthy in production. The CAIM case studies are 5 cases and about 4,046 words.
1The Insurer's Shadow AI Portfolio
Northwind Mutual is a 4,800-employee property and casualty insurer. Over 18 months, business units independently bought nine AI tools: underwriting triage, claims photo estimation, a broker chatbot, a fraud scoring add-on, and five others.
867 words, about 4 min2The Deflection Business Case That Didn't Deflect
Coastal Community Bank handles 2.1 million service contacts a year; 1.2 million are in scope for a GenAI customer assistant. The approved business case assumed 30% containment of in-scope contacts, a 6.40 average cost per contact, and 2.3 million in annual savings against 1.4 million implementation and 420,000 annual run cost.
810 words, about 4 min3RAG on a Rusty Data Foundation
Arcline Industrial makes heavy equipment and runs nine plants. Its maintenance knowledge base contains 380,000 documents accumulated over 22 years: scanned PDFs, revision-controlled manuals, service bulletins, and tribal notes in six languages.
753 words, about 4 min4Sepsis Alert at 4 a.m.
Mercy Valley Health is a four-hospital system on a single EHR. Six months ago it deployed a vendor sepsis prediction model in two ICUs and one 36-bed medical-surgical unit.
814 words, about 4 min5The Bias Audit That Arrived Late
Global retailer Meridian employs 30,000 people and receives 200,000 applications a year. Since last year it has used an AI screening tool to rank candidates for hourly roles in the US, UK, and Germany.
802 words, about 4 min