A Life Sciences Organization in the U.S. Adopts AI Labs as a Service for Donor Intelligence
Client Overview
A global nonprofit leader in regenerative medicine, the client delivers life sciences solutions supporting thousands of transplants and hundreds of thousands of tissue implants annually. Focused on advancing next-generation therapies for biomedical researchers, they faced extensive manual reviews and fragmented business knowledge. Donor assessments were taking longer, delaying critical decisions.
Disconnected Information, Delayed Decisions
A wealth of enterprise knowledge was already available. Its value was harder to access in the flow of daily work.
01
Scattered Knowledge
Business knowledge lived in Power BI reports, SharePoint repositories, and SQL databases. Important business decisions had to draw on information held in different systems.
02
Limited Substitution Visibility
Product substitution options were not easy to assess. This made it harder to identify suitable alternatives during fulfillment.
03
No Unified Interface
There was no single interface for asking business questions. Questions had to be resolved through separate information sources.
04
Delayed Access
Clinical, donor, inventory, and product insights were not readily accessible when needed.
05
Manual Donor Review
Donor charts, PDFs, selection guides, medical-social history, and enzyme genotype required extensive manual review. The process placed a heavy review burden on donor assessment.
AI LaaS for Connected Business Knowledge
We partnered with the client to establish AI Labs as a Service (AI LaaS) as the foundation for building an AI knowledge layer and creating a secure path to production.
01
Unified Knowledge Layer
Structured and unstructured enterprise data from different healthcare systems was brought into a single AI-powered knowledge layer.
02
Secure AI Architecture
A secure enterprise AI architecture was implemented with governance built into the path to production.
03
Conversational AI Access
A conversational AI interface was enabled for rapid access to enterprise knowledge through business questions.
Turning AI Capabilities into Business Results
Four AI agents support donor intelligence, knowledge retrieval, product substitution, and donor screening. Each combines relevant enterprise data with AI capabilities suited to the workflow.
The Change Comes with Results
The shift translated into tangible gains, showing up in operational performance and customer experience.
Donor Intelligence Agent 50% Faster Donor Validation
Donor validation takes half the time. Now, there is more capacity for higher-value operational work.
Life Sciences & Sales Agent 30% Product Matching Gain
Better product matching gives teams stronger inputs for fulfillment and order decisions.
Donor Screening Agent 100% Call Answer Rate
Complete call coverage keeps customer requests from being missed and removes gaps in service.
Production Substitution Agent Reduced Backorders
Identifies suitable product substitutes to support fulfillment decisions and customer confidence.
Digital Backbone
The Groundwork Set the Way Forward
The agents may be the most visible part of the solution, but they weren't where the work started. First came the discovery of the client’s data, systems, documents, and workflows. AI LaaS then established the knowledge layer and enterprise AI architecture needed to take these use cases into production. Only then did the individual agents take shape, each connected to the data and business rules relevant to its workflow.