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
B2B Textile Distribution
6 weeks AI Automation PipelinesCatalogue Automation for a European Textile Distributor
Measured result
3 days -> 14 min per supplier cycle
Delivered system
Production pipeline with ERP handoff, exception queue, and operator runbook.
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.
What the client received
- Supplier feed ingestion across PDF, CSV, and API sources
- FR/EN translation and category enrichment flow
- Human QA gate for edge cases before ERP push
- Daily exception review workflow and handover documentation
Aviation Training, North America
8 weeks AI Automation Pipelines + Production Agent SystemsCourse Content Pipeline for an Aviation Training School
Measured result
4-6 hrs -> instructor approval review
Delivered system
Document-to-course pipeline with instructor approval gates and module consistency checks.
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.
What the client received
- Regulatory document extraction and lesson draft generator
- Instructor approval interface before publication
- Course formatting rules for consistent modules
- Backlog clearing plan and content QA checklist
Ecommerce Operations
10 weeks + ongoing AI-Led Operations + Production Agent SystemsAI Operating System for a Multi-Store Ecommerce Operator
Measured result
15 -> 150 content pages per week
Delivered system
Multi-agent operating layer with publishing gates, daily brief, and escalation routing.
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.
What the client received
- Content agents for each store and product family
- Human QA gate before SEO, payment, or publishing changes
- Daily operations brief with blockers and decisions
- Monitoring dashboard and escalation rules
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