The Challenge

A healthcare provider needed to use clinical and operational data to support faster decisions, including triage support and documentation automation, without compromising patient safety or data protection obligations.

How SynaptekX Helped

• AI and data readiness assessment across clinical, operational, and patient data systems
• Governed data platform connecting previously siloed clinical data sources
• Clinical documentation automation with human-in-the-loop review controls
• Governance framework aligned to ISO 42001 and patient data protection obligations

Outcomes

The Challenge

A public sector organisation wanted to automate case processing and fraud detection while ensuring AI decisions remained transparent, explainable, and accountable to citizens, auditors, and oversight bodies.

How SynaptekX Helped

• AI governance framework aligned to emerging UK and EU AI regulation
• Explainable AI models for case triage and fraud detection
• Human oversight and appeal pathways built into the operating model
• Board and regulator ready documentation of model risk and decisions

Outcomes

The Challenge

A financial services firm needed to scale AI models for fraud detection and credit risk, while satisfying model risk management expectations and preparing for EU AI Act and DORA obligations.

How SynaptekX Helped

• Model risk management framework aligned to regulatory expectations
• EU AI Act risk classification and compliance roadmap
• Production grade MLOps pipeline with monitoring and drift detection
• Third-party AI vendor risk assessment framework

Outcomes

The Challenge

An infrastructure operator needed predictive maintenance and anomaly detection across converging IT and OT environments, without introducing risk to safety-critical operations.

How SynaptekX Helped

• Data platform integrating sensor, SCADA, and enterprise data sources
• Predictive maintenance models for critical asset failure prediction
• Anomaly detection tuned to operational technology environments
• AI governance framework covering safety-critical model risk

Outcomes