About Emerald Isle Consulting
Built by practitioners.
Focused on outcomes.
Emerald Isle Consulting was founded by senior data architects and AI engineers who spent years inside large healthcare and property & casualty insurance organizations, watching AI initiatives stall not because of weak models, but because of weak foundations.
That pattern drove us to build a firm focused on the question most consultants skip: can your data actually support the AI you've been asked to deliver? We grade the systems your use cases depend on, tell you exactly what to fix first, and help get the first use case into production.
We don't hand off slideware. Every grade is backed by evidence from your own systems, and the roadmap is yours to act on, with or without us.
We've been inside the problem.
Most AI projects don't fail because the models are wrong. They fail because the data underneath them is inconsistent, ungoverned, or too fragmented to trust. We've seen this firsthand, sitting inside healthcare systems and property & casualty insurance carriers, building pipelines and watching promising initiatives stall at the foundation.
That's what Emerald Isle was built to fix. With clients across North America, South America, Europe, and Asia, we've seen this problem at scale: across industries, regulatory environments, and data ecosystems.
We don't parachute in with a generic maturity model. We interview the people who know your systems, profile real extracts, and grade what we find, so the roadmap reflects your environment, not a template.
Every assessment ends with something durable: a scorecard leadership can act on, a gap list tied to the use cases they funded, and a sequenced roadmap to the first use case in production. The engineering that follows can be done by your team, by us, or by our partners.
Senior-led, start to finish.
Every engagement is led by a principal architect with more than 20 years building enterprise data platforms in healthcare and property & casualty insurance, on four continents. The person who scopes your assessment runs the interviews, does the profiling, and presents the read-out.
Where We Work
Two industries. Deep, not wide.
We focus on regulated, claims-heavy businesses, where the quality of the data decides whether AI pays off. These are the AI use cases we assess data for.
Healthcare
Payers, providers, and government health programs.
- Claims integrity and fraud, waste & abuse models
- FHIR and HL7 interoperability data
- Claims data from 837 EDI feeds
- Lineage for regulatory and quality reporting
Property & Casualty Insurance
Carriers, MGAs, and claims organizations.
- FNOL triage and severity prediction
- Claims document intelligence and entity resolution
- Claims fraud: staged losses, inflated repairs, organized rings
- Underwriting knowledge search
Track Record
We grade data platforms because we've built them.
Two platform engagements, anonymized. The same hands-on experience is behind every grade on an assessment scorecard.
Underwriting knowledge search
The problem
Decades of underwriting documents were effectively unsearchable, slowing the agents who depended on them.
What we built
A retrieval-augmented (RAG) search engine on Azure and OpenSearch with OpenAI models, making the full underwriting archive instantly searchable.
Claims data platform with AI anomaly detection
The problem
Claims reporting lagged operations by 10 days, too slow for claims-integrity teams to act on.
What we built
A governed data lake on Azure (Synapse and Databricks) integrating 837 EDI claims data, with AI-powered anomaly detection for claims integrity.
Client details anonymized.
To transform enterprise data into predictive operational intelligence, enabling organizations to anticipate risk, guide intervention, and prove measurable outcomes at scale.
How We Think
Architecture First
Predictive intelligence platforms succeed when the data architecture beneath them is strong: governed, scalable, and engineered for continuous model feedback.
Tool Agnostic
Our recommendations are vendor-neutral, so your roadmap points to the best available tools, not whoever locked you in first.
Guidance Over Slideware
We work from evidence, not opinion: interviews plus profiling on real extracts. The result is a graded scorecard and a roadmap, not a deck.
Compliance by Design
Regulated industries demand data that is auditable, lineage-traced, and reconcilable. We build compliance into the architecture from the start, not as an afterthought.
What Clients and Colleagues Say
David is one of the strongest data and AI architecture leaders I have worked with.
Enterprise Technology Executive
David and the Emerald Isle team bring rare depth across strategy, platform design, and production delivery.
Client Program Sponsor
Emerald Isle delivered a platform that moved us from reactive reporting to real-time operational intelligence.
Delivery Executive
Know before you fund the pilot.
Six weeks and a fixed fee, scoped by the number of systems your use case depends on.
See exactly what's included