Case Studies
Anonymised case studies from banking, insurance, healthcare, and government engagements. Each one with the challenge, the approach, the measurable outcome, and the testimonial.
Case studies overview
Client identities below are anonymised at client request. Metrics, methodology, and outcomes are accurate. Each case represents an engagement Magnis AI led or co-led with an internal team. The pattern is consistent: regulator-grade governance from day one, measurable business outcomes inside two quarters, internal capability retained after handover.
Client profile: Tier-1 Asian bank
60+ production models, no central inventory, MAS Veritas assessment in 9 months. We built the unified model risk framework, control library, and audit pack. Veritas passed at first attempt.
Client profile: Regional general insurer
9-day claims cycle, handlers spending 70 percent of time on data entry, competitor launched 48-hour promise. We built an end-to-end IDP + LLM + RPA pipeline. Cycle time to 36 hours, handler productivity 2.4x.
Client profile: Regional health network
14 hospitals, alert fatigue from rule-based early warning scores, late deterioration detection. We built a validated deterioration prediction model, cut false positives 62 percent, detected events 4.7 hours earlier.
Client profile: National regulator
Regulator about to publish AI guidance to supervised entities, with no internal AI policy of its own. We delivered the internal policy, model inventory, generative AI guardrails, and board-level oversight.
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