QAD deployed Enterprise AI search to maximize global workforce productivity.
Pythian helped supply chain leader QAD build a generative AI solution using Vertex AI Search and Conversation.
Restrictive keyword searches across internal portals created an information bottleneck for the global workforce. To resolve this, Pythian deployed an Agent Search application to index internal HTML content within secure cloud storage. This shift empowers over 1,700 employees to instantly surface cross-departmental answers using natural language. Freed from manual sorting, the workforce now focuses entirely on high-value operations and accelerating supply chain service delivery.
We wanted to leverage Vertex AI and they (Pythian) knew that we didn't have the in-house skills and expertise. They came in to help us overcome those challenges, and that's really why they were a great partner for us, and have been for 15 years."
Jim Josey
Vice President Information Technology Services, QAD
1700+
Employees empowered via natural language search
100+
Countries benefiting from accelerated service delivery
5
Internal Google Sites leveraged to prove value
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Restrictive search indexing limited global information velocity
The legacy enterprise framework relied on exact keyword matching, causing employees to overlook critical corporate resources.
Lack of in-house generative AI development expertise
Deploying advanced machine learning systems safely required proven technical architects to protect enterprise data privacy.
Fragmented unstructured content across core corporate portals
Vital documentation sat isolated within separate HTML site structures, stalling cross-functional data synthesis.
Lost productivity from extended information gathering cycles
Staff spent high volumes of manual effort tracking down routine guidelines instead of executing core logistics goals.
Pythian built a custom application to seamlessly index and aggregate enterprise HTML data.
Pythian’s engineers designed a cloud-native framework that ingested exported Google Sites content via secure Google Cloud Storage buckets. This out-of-the-box engine transformed static pages into interactive knowledge pools without breaking established corporate access controls.
The smart search architecture automatically unifies isolated corporate data repositories.
The platform intelligently maps out relationships between disparate corporate networks. For instance, a single query can now smoothly blend technical answers from the IT help desk with matching guidelines from Human Resources.
Workers query complex backend ecosystems using simple, conversational human prompts.
The intuitive interface allows users to ask follow-up questions, request contextual summaries, and execute multimodal searches. This eliminated tedious folder navigation and replaced it with a direct, conversational answer engine.
Hands-on education sessions maximized workforce tool adoption and prompt accuracy.
Pythian experts led customized technical workshops to ensure full operational confidence across business departments. Employees learned how to correctly structure prompts, utilize advanced query functions, and maximize engine performance.
Accelerate enterprise search and drive workforce productivity.
Maximize the value of the Google Cloud Ecosystem
As a premier Google Cloud Partner, Pythian integrates the Gemini Enterprise Agent Platform (formerly Vertex AI) to solve complex enterprise scale challenges.
Our comprehensive Google Cloud consulting frameworks outline proven methodologies for data ingestion, model tuning, and prompt engineering to safely scale experimental AI into production-ready deployments. By exploring these enterprise services, technical leaders can establish a practical blueprint to minimize operational search friction and unlock value across legacy systems.
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