The client managed vast volumes of unstructured clinical notes, billing data, and operational records. Identifying actionable insights from these siloed datasets was time-consuming and error-prone — delaying decisions, reimbursement timelines, and patient outcomes.
They needed a unified AI approach to streamline operations, surface critical patterns, and train their staff to use the tools responsibly and effectively.
Solution
Seawolf AI launched Health CareIQ, a comprehensive initiative to embed intelligent systems into the client’s care and operations pipeline. The project was built on three pillars:
LLM-powered insight agents for parsing clinical documentation, surfacing anomalies, and recommending billing or treatment actions
Neural data harmonization, connecting medical codes, provider notes, and patient histories into a searchable knowledge graph
Upskilling programs for data teams, enabling internal developers to fine-tune and orchestrate AI workflows themselves
Results
✅ Reduced claims processing time by 38% ✅ Flagged documentation inconsistencies before audit, improving compliance ✅ Enabled internal teams to deploy 12+ custom AI workflows in 3 months ✅ Laid the groundwork for future AI governance and automation strategy
What Made It Different
Health CareIQ wasn’t just automation. It was a transformation of how decisions are made — with AI that understands context, aligns with regulation, and empowers internal talent.
“This wasn’t just AI enablement — it was AI maturity. Seawolf helped us build the muscle, not just the model.” — VP of Operations, Client (Healthcare)
