OPSTIFY™ designed and operationalized an enterprise Data + AI roadmap across five lines of business and multiple states, extending the organization's Databricks investment from foundational data infrastructure into governed analytics, semantic intelligence, and applied AI.
Strategy to Applied AI
Data + AI Product Roadmap
From Infrastructure to Business Use
The organization had made substantial progress building its foundational Databricks environment, but ingesting data was only the beginning. The next challenge was converting technically structured data into trusted, governed intelligence that business users could actually consume.
Leadership needed to demonstrate tangible value from its platform investment while establishing a scalable strategy for the next generation of analytics and AI products.
Across five lines of business and multiple markets, differences in data structures, definitions, metadata, access requirements, and user needs created additional complexity.
Designed a multi-year roadmap spanning five lines of business, prioritizing Data + AI opportunities and aligning the appropriate intelligence experience to business needs and user personas.
Designed governed semantic and consumption structures that connected enterprise data to consistent business definitions, metrics, user personas, and downstream intelligence products.
Built and deployed a Databricks Genie Claims Assistant that enabled selected users to investigate complex claims information through natural-language questions and iterative analysis.
Established reusable architecture, semantic design patterns, governance principles, and implementation practices to accelerate future analytics and AI products as additional enterprise data became available.
Claims AI assistant surfaced and enabled users to flag a payment requiring intervention.
Business users investigated complex claims data through natural-language questions, without waiting for new reports or SQL queries.
Claims AI assistant enabled users to identify and flag an incorrect payment before funds were disbursed.
Prioritized high-value Data + AI products and consumption pathways across dashboards, conversational AI, and analytics.
The engagement extended beyond development of a single AI Assistant. OPSTIFY™ designed the broader enterprise consumption strategy across five lines of business and multiple states, accounting for differing data structures, business definitions, user personas, governance requirements, and intelligence needs.
Identify where fragmented data, manual processes, analytics bottlenecks, and emerging AI capabilities could create the greatest measurable value for your organization.
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