AtomHub 2.0
    Aviation & MRO — Sector Case Study

    From paper-heavy to
    precision-fast

    We helped a tier-one aviation/MRO operation turn scattered tech pubs and manual binder prep into a fast, searchable, and audit-ready flow across planning, hangar, and QA.

    Sub-Second Search
    50k+ Files/Batch
    Audit-Ready
    Executive Summary

    At a glance

    Doc intake at scale

    50k+ files / ~100 GB per batch windows

    OCR/document AI throughput

    Bulk sets processed in under an hour

    Search @ TB-scale

    Median sub-second answers across multi-year libraries

    Binder automation

    Work-order → exact docs assembled automatically, with human-in-the-loop when needed

    Situation (Before)

    The challenges

    Scattered tech pubs

    Tech pubs spread across file servers, legacy DMS, and vendor portals

    Slow retrieval

    Engineers and technicians hunting through inconsistent folder taxonomies

    Manual binder prep

    Binder/packet creation for a single work-order took hours and varied by person

    Compliance gaps

    Compliance teams lacked clean chain of custody from work-order → referenced document → revision

    Business mandate

    Reduce ground time, standardize binder prep, and make audits boring.

    Objectives

    What we set out to achieve

    1

    Single source of searchable truth

    For technical publications and forms

    2

    Deterministic binder assembly

    Tied to the specific work-order and aircraft configuration

    3

    Measurable speed-ups

    In planning and on-floor execution—without compromising compliance

    4

    Full traceability

    "Why this page, from which revision, for this tail number"

    What We Built

    Solution components (high level)

    High-throughput intake pipeline

    For PDFs, images, and mixed archives (50k+ files / ~100 GB batches)

    OCR + document AI

    Normalize scans, extract entities (task, ATA, effectivity), and fix noisy inputs

    Unified publications index

    Combining vector search + full-text for precision and recall

    Work-order linker

    Maps job cards to exactly-required manuals, bulletins, forms, and revision ranges

    Delivery-binder automation

    Assembles print-ready or tablet-ready packets with covers, stamps, and checklists

    Operator console

    For planners/QA to review, override, and approve in seconds—with audit logs

    Observability & SLAs

    Freshness, queue time, binder build time, and search latency tracked and alerted

    Architecture

    Architecture at a glance

    Connectors (DMS, S3/NAS, vendor portals) → Ingest & normalize (checksum, de-dupe, versioning) → OCR/Doc-AI workers (page quality, layout, entity tagging) → Search fabric (hybrid vector + full-text; facet filters for ATA/task/revision) → Rules/Linker (work-order → doc set) → Binder service (assembly, stamps, watermarks) → Operator console (review, approve, export) → Audit & lineage (who/what/when; doc → work-order chain)

    Before → After

    What changed

    Planner

    Before

    Manual hunt across folders; copy-paste lists into spreadsheets

    After

    Type work-order → see required docs, revisions, effectivity in one view; one-click binder build

    Technician

    Before

    Arrives at bay with outdated or incomplete print packs

    After

    Current, complete packet (paper or tablet) with clear checklists; fewer pauses and back-and-forths

    QA/Compliance

    Before

    Reconstructs references after the fact; time-consuming audits

    After

    Tamper-evident trail from work-order → doc revision; exportable audit pack in minutes

    Quantified Outcomes

    The results (anonymized)

    ~100 GB in < 60 min

    Document velocity

    Continuous intake windows supported

    Sub-second (p50)

    Search latency

    Across TB-scale mixed-quality tech pubs

    Hours → Minutes

    Binder prep time

    For standard jobs (human review retained for edge cases)

    Measurable drop

    Operational consistency

    Standardized packet structure; reduced rework and on-floor interruptions

    Why It Mattered

    Business lens

    Faster turnarounds

    Less time lost to document hunting and ad-hoc validation

    Fewer misses

    Deterministic inclusion of the right revision for the right tail number

    Audit-ready by default

    Every binder is reproducible with provenance

    Happier crews

    Planners and technicians spend time executing, not searching

    Lessons Learned

    Key insights

    Hybrid search wins

    Hybrid search (vector and full-text) beats either alone for noisy, scanned manuals

    Entity tagging matters

    Entity tagging (ATA, effectivity, task IDs) is the difference between "close" and "exact"

    Human-in-the-loop

    Keep humans-in-the-loop at approval: it builds trust and catches rare edge cases

    Track lead indicators

    Track binder build time, search latency, and "override rate" as health indicators

    What's Next

    Future roadmap

    Mobile/tablet-first

    Binder experience with offline sync

    Predictive prompts

    Suggest likely follow-on docs based on aircraft history

    Digital signatures

    Tighter integration with maintenance/records systems

    Ready to transform your aviation operations?

    Download the detailed case study with architecture, metrics, and playbooks

    All metrics and results presented are anonymized and represent aggregated outcomes across engagements in the aviation/MRO domain.