The client

The client is a large, diversified energy conglomerate operating across upstream, midstream, and downstream value chains. With 10,000+ employees, $1B+ in annual revenue, and operations spanning highly regulated environments, the organization manages vast volumes of technical, operational, compliance, and research documentation across departments.

As the business scaled, knowledge became increasingly siloed across shared drives, PDFs, scanned files, and legacy systems, making it difficult for teams to retrieve, validate, and synthesize information quickly. The client required a secure, enterprise-grade GenAI knowledge platform that could centralize institutional knowledge, enforce governance, and enable AI-assisted research—without compromising confidentiality, access control, or auditability.

The problem

Despite having rich institutional knowledge, the organization faced growing inefficiencies in how information was accessed, trusted, and used for decision-making.

Fragmented Knowledge & Low Discoverability

Critical documents were scattered across departments with no unified taxonomy or intelligence layer.

  • Employees spent hours manually searching, reading, and compiling information across multiple files.
  • No semantic or contextual search capability to surface insights across large document volumes.

Lack of Governance, Quality Control & Feedback Loops

Document updates, approvals, and version control were largely manual and inconsistent.

  • No structured feedback or approval workflows to ensure content accuracy and relevance.
  • Limited visibility into document history, changes, or usage patterns.

Security, Compliance & Scale Constraints

The organization required fine-grained access control for sensitive and confidential documents.

  • Role-based access, audit trails, and entitlement management were missing.
  • The platform needed to scale to 5,000+ documents and 100+ concurrent users in Phase 1, with future expansion in mind.

OUR SOLUTION

Worxwide designed and delivered a secure, enterprise-grade GenAI Knowledge Management Platform that unified document intelligence, governed access, and AI-driven research into a single, scalable system.

The solution combined vector search, OCR, large language models, and role-based workflows to transform static documents into a living, searchable, and intelligent knowledge ecosystem—purpose-built for enterprise scale, compliance, and multi-department usage.

AI-Led Knowledge Discovery & Research Intelligence

Worxwide enabled natural-language interaction across thousands of documents using semantic search and GenAI reasoning.

  • Contextual Q&A, multi-document summaries, comparisons, and insight generation using vector embeddings and LLMs.
  • Reduced dependency on manual document reading and cross-referencing for research-heavy workflows.

Governed Document Management with Enterprise-Grade Security

The platform introduced structured workflows for publishing, reviewing, and controlling content.

  • Department-level tagging, approvals, version history, audit trails, and feedback loops.
  • Granular role-based access for Admins, Department Admins, Approvers, and End Users, ensuring compliance and confidentiality.

Scalable, Cloud-Native AI Architecture

Built on a robust GCP stack to support performance, reliability, and future growth.

  • OCR-driven ingestion using Google Document AI for scanned and legacy documents.
  • Cloud-native architecture leveraging Vertex AI, pgVector, Hasura GraphQL, Cloud Functions, and Firebase Auth.

Our work in action

The Impact

Dramatically Faster Knowledge Access & Decision Support

Worxwide enabled 60–70% faster document retrieval by replacing manual research with AI-powered semantic search and synthesis—giving employees instant, contextual insights across the enterprise instead of hours spent navigating fragmented files.

Reduced Operational Effort & Improved Content Quality

Automated governance workflows delivered up to 50% reduction in manual review cycles, improving content accuracy, trust, and consistency through structured feedback, controlled updates, versioning, and audit-ready validation.

Secure, Scalable Foundation for AI-Led Enterprise Intelligence

We established a future-ready, compliant knowledge layer with role-based access, audit logs, and controlled distribution—scaling seamlessly to 5,000+ documents and 100+ concurrent users, while enabling phased expansion into advanced AI use cases.

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