D-SAi
Case Study
Healthcare UK Dec 05,2025
MLOps at scale
We delivered MLOps for a healthcare client in the UK, achieving +12x speed. This case study highlights the problem → solution → measurable gains with stack notes and governance guardrails.
Conversion uplift
+28%
Time-to-value
8 weeks
Reliability
99.9%
Problem
Client faced slow model deployment, fragmented pipelines, and frequent manual interventions that led to delayed insights and operational overhead.
Solution
- • Built CI/CD ML-ops pipeline with CI/CD for models.
- • Automated data validation, monitoring, and retraining triggers.
- • Implemented role-based access and governance guardrails.
Impact
- • Faster deployments (12×), reduced manual tickets, and consistent model performance in production.
Tech & Stack
Governance
Role-based access, audit logs, and encrypted storage with documented retention rules.
Engagement timeline
Discovery
2 weeks
Data & Prep
3 weeks
Modelling
6 weeks
Deployment
1 week
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