Case Study: Broadcom Corporate & Engineering Document Scanning

The Challenge of an Enterprise Archive

Broadcom Inc., a global leader in semiconductor and enterprise software solutions, operates one of the most document-intensive environments in the technology industry. Decades of corporate governance records, cross-functional project documentation, complex engineering manuals, and large-format technical drawings had accumulated in physical form — a critical knowledge asset locked away from Broadcom's growing AI and analytics initiatives.

As Broadcom accelerated its transformation into a data-driven, AI-powered organisation, the inability to query, cross-reference, and extract insights from physical records represented a tangible competitive gap. The mandate was clear: convert the physical archive into structured, searchable, and AI-ready digital assets — without disrupting live operations.

Project Snapshot

Client: Broadcom Inc. — Global semiconductor and enterprise software corporation

Location: Singapore operations — executed under Singapore PDPA framework

Engagement: Full-service document scanning, large-format digitisation, metadata tagging, AI-ready output packaging

Document Scope: Corporate documents, project documents, engineering manuals, engineering drawings up to A1

02 — The Challenge

Four Document Categories. One Complex Problem.

Broadcom's physical archive presented a multi-dimensional scanning challenge. No single document type shared the same format, fragility, metadata structure, or downstream use case — requiring a tailored digitisation strategy for each category.

Corporate Documents

Board resolutions, shareholder agreements, statutory filings, ACRA-regulated records, and governance correspondence requiring high-fidelity reproduction and tamper-evident metadata for legal defensibility.

Project Documents

Multi-phase programme files, vendor contracts, milestone deliverables, change order logs, and cross-functional sign-off records spanning multiple project lifecycles and product generations.

Engineering Manuals

Dense technical manuals with embedded schematics, tolerances, Bill of Materials tables, and revision histories — requiring structured OCR output compatible with downstream AI parsing pipelines.

Engineering Drawings (up to A1)

Large-format technical and architectural drawings including PCB layout diagrams, facility blueprints, and infrastructure schematics — all requiring precision flatbed scanning at publication-grade resolution.

 

— Micrographics Data Pte Ltd, Singapore

03 — The Solution

A Document Scanning Programme Built for AI Readiness

Micrographics Data — Singapore's specialist in archival digitisation since 1989 — designed and executed a structured, five-phase scanning programme aligned to Broadcom's AI transformation roadmap and Singapore enterprise compliance requirements.

Phase 1 — Document Audit & Classification

Every physical record was triaged, categorised by document type, format, and condition. Fragile or aged paper received pre-scan preparation. A master document register was established as the metadata backbone for the entire project, with fields mapped directly to Broadcom's planned AI indexing schema.

Phase 2 — Standard-Format Scanning (A4 to A3)

Corporate and project documents were scanned at a minimum 300 DPI (600 DPI for dense text) using high-throughput document scanners with automatic document feeders. PDPA-compliant chain-of-custody was maintained throughout, with batch logs generated per session for audit trail continuity.

Phase 3 — Large-Format Digitisation (up to A1)

Engineering drawings and technical schematics up to A1 size (841 × 594 mm) were captured using precision large-format flatbed scanners. Scanning resolution was calibrated per drawing type — 400 DPI minimum for line drawings, 600 DPI for drawings with fine detail or dimension annotations. Output files were delivered as both full-resolution TIFFs and compressed-delivery PDFs.

Phase 4 — OCR Processing & Structured Metadata Tagging

All scanned documents underwent multi-layer Optical Character Recognition (OCR) to produce machine-readable, AI-queryable text layers. Engineering manuals received structured metadata tagging covering document title, revision number, issue date, author, and document category — enabling AI retrieval systems to query across the entire archive by attribute.

Precision at Every Format

Document scanning is not a commodity — resolution, colour depth, file format, and metadata structure each carry downstream consequences for AI processing accuracy. Micrographics Data's technical parameters were set to meet and exceed enterprise AI ingestion thresholds.

 

Document Category	Format	Resolution	Output	AI Suitability
Corporate Documents	A4 – A3	300–600 DPI	PDF/A, TIFF	AI-Ready
Project Documents	A4 – A3	300–600 DPI	PDF/A, TIFF	AI-Ready
Engineering Manuals	A4 – A3	400–600 DPI	Searchable PDF, TIFF	AI-Ready
Engineering Drawings	A4 – A1	400–600 DPI	PDF/A, Full-res TIFF	AI-Ready
OCR Text Layer	All types	—	PDF, XML, CSV	AI-Ready

From Filing Cabinet to Data-Driven Intelligence

The strategic value of this engagement extended far beyond document storage. Broadcom's AI transformation journey depends on high-quality, structured data — and physical archives, once digitised correctly, represent one of the richest and most underutilised enterprise data sources available.

Micrographics Data's output was engineered from the outset to serve Broadcom's AI and analytics infrastructure — not just its records management system.

AI-Ready Scanning Powers Broadcom's Data Strategy

•      Engineering Knowledge Retrieval: AI models can traverse decades of engineering manuals and technical drawings to surface design precedents, component specifications, and historical tolerances — reducing duplication effort in R&D cycles.

•      Contract & Compliance Intelligence: Digitised corporate and project documents feed AI-powered contract analytics, enabling obligation extraction, deadline monitoring, and regulatory cross-referencing at scale.

•      Agentic Document Workflows: Structured OCR output and metadata schemas are compatible with agentic AI systems that autonomously classify, route, and act on document content — reducing manual processing overhead.

•      Audit-Ready AI Governance: Every scanned file carries a complete chain-of-custody log and structured metadata — enabling AI-generated outputs to be traced back to source records for regulatory defensibility under MAS TRM and Singapore PDPA.

•      Large-Format Drawing Intelligence: Digitised A1 engineering drawings can now feed computer vision and AI-assisted CAD analysis tools, unlocking facility and infrastructure planning data previously locked in physical blueprint rolls.

Measurable Results, Strategic Impact

The completed digitisation programme delivered immediate operational gains alongside long-term strategic value for Broadcom's AI data foundation.

 

Retrieval Speed Seconds Documents previously requiring manual physical search now retrievable via full-text and metadata search.

Format Coverage A4 → A1 Complete format range covered — from standard corporate papers to large-format A1 engineering drawings.

Compliance Posture PDPA+ All digitised records delivered with PDPA-compliant handling and complete audit trail documentation.

AI Readiness 100% Every output file produced with machine-readable OCR, structured metadata, and AI-compatible file formats.

 

36 Years of Archival Expertise. Built for the AI Era.

Founded in Singapore in 1989, Micrographics Data Pte Ltd has spent three and a half decades at the intersection of physical records and digital preservation. That heritage — spanning microfilm archiving, COM systems, and document management — translates directly into scanning quality and metadata rigour that generic bureau services cannot match.

Industry-Specific Expertise

Deep experience in technology sector document workflows — including semiconductor, engineering, and enterprise software environments — means Micrographics Data understands document context, not just document formats.

Large-Format Capability

Precision large-format scanning up to A1 — including technical drawings, architectural plans, and infrastructure schematics — with calibrated resolution settings per document type.

AI-Ready Output Standards

OCR, structured metadata tagging, PDF/A output, and XML/CSV manifests engineered to meet the ingestion requirements of enterprise AI, RAG pipelines, and agentic document systems.

Singapore Compliance Anchor

All engagements executed under Singapore PDPA, with chain-of-custody documentation and audit trail logs aligned to ACRA, IRAS, and MAS TRM record-keeping obligations.

Contact Micrographics Data Pte Ltd · Singapore · www.micrographicsdata.com.