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AI Automation in Practice

Selected engagements. Client names are anonymised — full case studies are available on request. The work is real.

Industries: B2B distribution · Aviation training · Ecommerce operations

Three metric cards showing real results: 3 days → 14 min (Catalog Sync), 4 hours → zero (Morning Brief), 15 → 150/wk (Content Output)
Abstract B2B textile distribution system — catalogue sync and supplier data automation

B2B Textile Distribution

6 weeks AI Automation Pipelines

Catalogue Automation for a European Textile Distributor

Challenge

Supplier catalogue updates — 300+ changes per day, across multiple formats — consumed 4 hours of manual ops per day and still produced data errors in the ERP.

Approach

Built an ingestion pipeline that normalizes supplier feeds (PDF, CSV, API), runs AI translation (FR↔EN), enriches with category tags, and pushes to ERP via a structured QA gate. Edge cases surface for human review; routine updates process automatically.

Outcome

Manual processing reduced to a 5-minute daily exception review. Zero data-entry errors since deployment. Ops team capacity redirected to vendor negotiation and supplier relations.

ERP integrationtranslationcatalogue managementexception handling
Aviation training content pipeline diagram — regulatory documents to structured course materials

Aviation Training, North America

8 weeks AI Automation Pipelines + Production Agent Systems

Course Content Pipeline for an Aviation Training School

Challenge

8 instructors each spending 4–6 hours producing course materials from regulatory PDFs and documentation. Inconsistent formatting across 30+ module backlog.

Approach

Built a content extraction and generation pipeline on top of regulatory document libraries. Agents draft structured lesson content and surface approved images; instructors approve via a lightweight review interface. No content goes live without instructor sign-off.

Outcome

Course material production 5× faster. Instructor time redirected to classroom delivery. Content consistency across all modules. Backlog cleared in 3 weeks.

content generationdocument processingapproval gatesaviation
Apparel catalog automation flow: product thumbnails → AI processing arrow → structured database table

Ecommerce Operations

10 weeks + ongoing AI-Led Operations + Production Agent Systems

AI Operating System for a Multi-Store Ecommerce Operator

Challenge

Running 5 niche ecommerce stores simultaneously required content, QA, and coordination that manual operations couldn't scale to — without proportional headcount costs.

Approach

Built a multi-agent operating layer: content agents per store, QA gate before publication, routing for escalations. Human gates on payment and SEO changes. Monitoring and daily brief generated automatically.

Outcome

5 stores maintained simultaneously without proportional headcount increase. Content published at scale. Payment and publishing operations fully human-gated.

multi-storecontent at scaleagent orchestrationecommerce

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