AI Enterprise Build for a Global Pharmaceutical Company (Sanofi)

Client Overview

A global pharmaceutical leader with 100,000+ employees needed to modernize internal operations, improve booking systems, and create an AI layer that reduces manual workflows across labs, engineering, IT, and administrative teams.

Challenge

The organization faced challenges across multiple departments:

  • Manual booking of labs, clean rooms, and scientific equipment
  • Delays in approving training records
  • Outdated dashboards that required manual data uploads
  • Disconnected systems (SAP, training LMS, ServiceNow, internal databases)
  • Slow retrieval of SOPs and safety documentation
  • No unified AI assistant to answer internal questions
  • Large amounts of unstructured data (PDFs, training logs, spreadsheets)

Solution: ImplementAI Enterprise AI Infrastructure

We deployed a full enterprise AI architecture, including:

1. AI Booking & Scheduling Platform

Integrated with internal systems such as:

  • SAP S/4HANA
  • ServiceNow
  • Laboratory scheduling tools
  • Office & room management systems

The AI automatically:

  • Books equipment
  • Assigns rooms
  • Validates user credentials
  • Checks training completion
  • Sends reminders & confirmations

2. AI Memory + Knowledge Engine

Ingested thousands of documents:

  • SOPs
  • Validation documents
  • Equipment manuals
  • Safety documents
  • Policies

Scientists and employees now ask:

“What is the approved sterilization method for X device?”
“Am I trained to use instrument Y?”
“Book me into Lab 4, Thursday at 10am.”

And AI responds instantly with citations.

3. Central Data Lake + Dashboard Layer

We built real-time dashboards showing:

  • Equipment utilization
  • Lab booking metrics
  • Safety document updates
  • Training compliance
  • R&D productivity KPIs
  • AI usage analytics

Data sources were merged into one unified architecture.

4. Enterprise AI Integrations

  • Microsoft Graph
  • SAP
  • ServiceNow
  • SharePoint
  • Outlook
  • Custom APIs
  • Internal lab systems

5. Governance & Security

  • SOC2-level logging
  • Full audit trails
  • Role-based access
  • Tokenized data pipelines
  • Zero-trust permissions

Results

  • 62% reduction in booking conflicts
  • 37% faster R&D workflows
  • 83% less time spent searching for SOPs
  • Full visibility into equipment, training, and rooms
  • AI completed 9,000+ tasks independently within 90 days

Client Testimonial:

“This is the first scalable AI layer we’ve ever implemented globally — and it’s already transforming how our scientists work.”

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