AI & Document Intelligence

Enterprise Data Platform and AI-Powered Document Search for State Government Transport Authority

The Situation

A major state government transport authority had a board-endorsed data strategy but no capability to execute it. Data was fragmented across on-premise systems, manual processes were creating single points of failure, and the organization had no cloud platform, no data governance framework, and no AI foundation. Specific operational problems included:

  • Track condition survey processing taking hours of manual work per analyst per week
  • Weekly CCTV availability reporting requiring multi-person, multi-step manual exports and email chains
  • Thousands of engineering drawings held in a document system with no way to search their content
  • Operational train data with no real-time visibility and incomplete historical records
  • A traditional waterfall delivery culture with no Agile capability

What We Did

Won a formal government competitive tender following a Proof of Value phase testing the platform against six real use cases

  • Built the full enterprise data platform foundation including security hardening, role-based access controls, and architecture review board endorsement
  • Introduced and ran Agile/Scrum delivery from scratch within the client's environment, including all sprint ceremonies for the first six to seven months
  • Delivered seven use cases in Year 1, including automated track condition survey processing using event-driven pipelines and Snowpark Python; full CCTV availability reporting automation across approximately 10,000 cameras; real-time operational train data capture with historical recovery back to 2011; and a natural language AI search engine for all engineering drawings using Snowflake Cortex Document Intelligence, Cortex Search, Cortex Analyst, and Cortex Agents
  • Successfully navigated the WA Government AI Assurance Framework, becoming one of the first Snowflake Intelligence deployments approved in a WA government production environment
  • Built reusable Snowflake-native engineering frameworks available across all InterWorks Snowflake accounts
  • Coached and upskilled client data engineers throughout delivery as a deliberate programme output

Results

  • 5+ hours per week returned to each analyst in the track condition monitoring team
  • Survey processing time reduced from hours to 2-5 minutes
  • Weekly CCTV reporting fully automated, eliminating a multi-person manual process
  • Full operational train history recovered to 2011 with real-time data capture now active
  • AI-powered natural language search over engineering drawings live in production
  • Seven use cases delivered in Year 1, with nine or more additional workstreams in development across the organization
  • Demand for platform access is now coming organically from business units across the authority

What This Unlocks

For government agencies or large regulated organizations sitting on significant volumes of unstructured documents or fragmented operational data, this engagement demonstrates what a full Snowflake Intelligence deployment looks like in a production environment that has passed formal AI assurance review. The AI document search architecture, government assurance pathway, and citizen developer patterns are all reusable for future public sector or regulated industry engagements.

Team

Led by two delivery leads managing programme governance and client relationships, supported by a solutions director, a senior solution architect responsible for platform security and infrastructure, a data architect specializing in role-based access controls, an enterprise data warehouse architect, and multiple data engineers delivering individual use cases including the AI and real-time data workstreams.

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Snowflake IntelligenceCortex Document IntelligenceCortex SearchCortex Analystenterprise data platformgovernmentpublic sectorAI assurancedata engineeringAPACreal-time dataSnowpark Python

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40213 Düsseldorf
Germany
Geschäftsführer: Mel Stephenson

Kontaktaufnahme: markus@interworks.eu
Telefon: +49 (0)211 5408 5301

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UstldNr: DE 313 353 072

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