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Global Pharmaceuticals

Scaling Enterprise GenAI

Helping teams create, configure and reuse Al agents across departments through a scalable internal platform.
Agentic AI
LangGraph
Reusable Platform
MCPTooling

Reusable AI Delivery at Scale

A global pharmaceutical client wanted to accelerate GenAl adoption, but avoid every department building separate Al tools from scratch. Teams needed agents for different workflows, data sources and knowledge bases, while the organisation needed a more consistent way to build, govern and scale them.

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Hybrid Mind helped develop a reusable agentic Al platform that provides common architecture, reusable components and configurable workflows. The platform brings together LangGraph orchestration, MCP tooling, RAG agents, image extraction, knowledge-base integration and reusable service patterns into one modular delivery framework.

‍

This shifted GenAl delivery away from fragmented, one-off builds towards a standardised enterprise model. New service foundations that previously took around 8 weeks can now be stood up in around 1 day, with reusable components supporting multiple business groups and hundreds of users

Hybrid Mind Delivered

Impact: Hybrid Mind helped the client reduce duplication, accelerate new Al builds andcreate a more controlled route to production Al across departments.

DELIVERY SPEED
8 weeks -> 1 day
GenAl service setup
REUSABILITY
5-6
Reusable Al components
USER IMPACT
500+
Users supported

Reusable AI at Scale

Hybrid Mind helped a global pharmaceutical client replace one- off Al builds with a reusable GenAl platform, giving teams a faster, more consistent way to launch Al services across departments.
01
The client problem
Teams across the organisation were building similar GenAl and RAG services separately, creating duplicated effort, inconsistent delivery patterns and slower routes to production.
02
The Hybrid Mind solution
Hybrid Mind built a reusable agentic Al platform with shared architecture, configurable workflows, LangGraph orchestration, MCP tooling and reusable Al components.
03
The business outcome
New GenAl service foundations can now be stood up in around 1 day, compared with approximately 8 weeks previously, with reusable capabilities supporting multiple business groups and hundreds of users.

What this enabled

Faster setup of new GenAl services.
Reduced duplication across teams building similar Al tools.
Reusable agent workflows across multiple business use cases.
More consistent delivery standards across departments.
Shared components for common GenAl needs.
Easier integration with internal knowledge bases and data sources.
Configurable agents for different workflows and teams.
Stronger foundation for scaling production Al.
More flexibility across models, tools and data sources.
Support for hundreds of users across multiple business groups.

Delivery components

Reusable GenAl platform I Agentic Al workflows I LangGraph orchestration I MCP tooling I RAG agents I Image extraction I Knowledge-base integration I Text-to-SQL I Text-to-Cypher I Semantic caching I Multi-LLM support I Multi-language support I Conversation management I Analytics and metrics I API orchestration I AWS Bedrock I PostgreSQL I OpenSearch I Ne04j I Configurable repository setup

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