Modernizing a Legacy R&D Platform with GenAI-Driven Workflow and Reporting Automation
Key Highlights
At a global life-sciences R&D software provider (maker of a widely used ELN), scientists were spending 6–8 hours manually compiling experiment reports; embedding GenAI auto-reporting inside the legacy platform cut this to under 30 minutes.
Workflow creation used to drag on for ~6 months; a natural-language workflow builder delivered as GenAI microservices now gets this done in a few days, without any platform re-architecture.
Non-standard, fragmented metadata was blocking discovery and reuse; automated metadata standardization made the data significantly more discoverable across the platform.
A complex, compliance-heavy stack resisted change; we embedded GenAI-powered microservices into the existing architecture for rapid, low-risk deployment and lower adoption friction.
Teams lacked intuitive ways to plan and report; new AI-assisted features—including an AI chat that automates cell-line grouping - improved UX and made the product more relevant for early-stage discovery.
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