The Power of Gen AI and WizarD™ DocPro — Built for Secure, Scalable Document Intelligence 

Most enterprises with large document repositories—whether for compliance, product development, or internal knowledge—struggle with the same issue: 
Too much content. Too little findability. 

Even with good documentation practices, navigating to the right information can be slow and frustrating. Users either need to know exactly where the document is or the right keywords to search for it. In the age of AI, this is no longer good enough. 

 Lab-Tested: R&D Team Bottlenecks from Document Sprawl 

In Systech’s internal lab simulations, we modeled a common challenge we hear from R&D-heavy organizations in pharmaceuticals, life sciences, and materials engineering. 

A platform team supporting multiple research tracks spent increasing time responding to internal questions like: 

• “Where’s the Phase 2 study protocol for Compound Z?” 

• “What method was used in the polymer stress test trial?” 

• “Do we have any published data on toxicity pathways for X compound?” 

The process went like this: 

1. A research or regulatory stakeholder raised a query. 

1. A dedicated team member scoured internal documentation—PDFs, Confluence pages, shared folders. 

1. Minutes or hours later, the team member responded—often with a link that needed further clarification. 

1. Follow-up questions followed. Work slowed. Fatigue rose. 

Based on projections, support load would soon occupy two full-time employees, limiting the team’s ability to focus on innovation. 

 What If You Could Just Ask? 

Instead of endlessly navigating through legacy documentation, what if your internal teams could simply: 

✅ Ask a question 
✅ Get an accurate, contextual answer 
✅ See the source document and citation 

And if the GenAI assistant couldn’t answer, escalate to the right person—not just a shared inbox. 

That’s the premise behind our WizarD™ DocPro AI solution 

A Look Under the Hood 

WizarD™ DocPro AI is built on Retrieval-Augmented Generation (RAG) architecture and deployed securely within your Snowflake environment. 

It combines: 

• Snowflake-native Cortex AI Functions like EMBED_TEXT_768, VECTOR_L2_DISTANCE, and COMPLETE 

• Snowpark Container Services to manage front-end orchestration 

• Snowflake vector tables for real-time semantic search 

This architecture turns documents into intelligent assets. They don’t just sit in storage—they answer questions. 

 Benefits We Observed 

During our test runs using open-source research papers, whitepapers, and regulatory samples, WizarD™ DocPro AI: 

• Reduced response time for document-related queries by 60–80% 

• Delivered contextual answers with embedded source links 

• Adapted to user roles—giving a scientist rich technical detail, and a compliance analyst a structured summary 

The result? Fewer clarifications. Faster insights. Happier teams. 

 Where This Can Work 

The use case modeled in our lab reflects a broader trend in research-heavy enterprises: 

• Life Sciences 

• Pharma & Biotech 

• Chemicals & Materials 

• Energy Innovation Labs 

• Advanced Manufacturing 

Anywhere teams deal with large volumes of technical documentation, WizarD™ DocPro AI can help speed access, reduce support load, and enable autonomous discovery. 

 Why This Matters for IT Operations 

This isn’t about building yet another chatbot. 
This is native GenAI, embedded within your secure Snowflake stack, able to scale across business units—with governance intact. 

It’s how IT can enable: 

• Self-service documentation access 

• Reduced SME dependence 

• Operational excellence across R&D, compliance, and knowledge management 

 Ready to See It in Action? 

This case study was modeled in our labs using enterprise-ready tools. 
It reflects the real-world complexity of document overload—and how Systech’s WizarD™ DocPro AI, can solve it. 

We’re actively collaborating with early adopters ready to pilot use cases tailored to their unique data landscapes.