Case Study: AI Enterprise Knowledge System for Servier

Client Overview

Servier required an AI system to unify scientific documentation, automate support workflows, and support global medical, R&D, and IT teams.

Challenge

  • Millions of pages of scientific documents
  • Slow access to research data
  • Manual workflows across departments
  • Thousands of repetitive IT tickets
  • Long onboarding cycles for new scientists

Solution: ImplementAI Knowledge & Workflow Automation Platform

1. AI Knowledge Assistant

AI ingested:

  • R&D documents
  • Clinical trial summaries
  • Chemical and compound datasets
  • Safety data sheets
  • SOPs

Employees ask:

“Show me all studies using compound S-140.”
“Compare findings from the last 5 years.”
“Summarize this PDF for me.”

2. AI Workflow Automation

Automated processes:

  • Ticket triage
  • Research request routing
  • Compliance checks
  • Training validation
  • Data extraction

3. Role-Based AI Experiences

Custom AI dashboards for:

  • Scientists
  • IT teams
  • Manufacturing
  • Compliance officers
  • QA managers

4. Global Deployment

AI is deployed across 17 countries with multi-language support.


Results

  • 55% faster access to scientific knowledge
  • 30% reduction in IT ticket volume
  • Unified research memory system

AI used by 4,000+ employees in 90 days

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