90 days of Fast Discovery: an AI roadmap ready to fund
Global engineered-textiles manufacturer · production and innovation hub in Asia. Client anonymized under NDA.
The case at a glance
The situation, what we did, and the result.
The challenge
Slow quality feedback, siloed data and reactive maintenance, with no clear place to start with AI.
Our work
- On-site and remote Fast Discovery across quality, production, warehouse and maintenance
- 28 opportunities mapped and ranked, 5 ready for pilot
- A roadmap and business case, then the design of a technology center
What the client got
Client anonymized under NDA. Figures are the potential identified during the discovery.
How the engagement created value
From the challenge to outputs, impact and next steps.
On-site immersion, remote analysis, interviews across functions, and business-case validation.
Quality, production, warehouse and maintenance, plus traceability and process-control opportunities.
Opportunity inventory, prioritization logic, delivery roadmap and the technology center foundation.
Up to 50% quality improvement potential identified in the highest-value areas.
20 to 30% ROI identified when scaled, to support the executive business-case discussion.
The engagement turned operational pain points into fundable next steps, not a static report.
A practical bridge from operational diagnosis to prioritized execution.
In detail
Five pilot-ready opportunities from one 90-day discovery
The engagement did not stop at assessment. It laid the foundation of a technology center, ranked the pilot candidates and set a practical path to industrialization.
Why it mattered for the client- One discovery turned operational pain points into five ranked execution lanes.
- Value levers were sized early, to support executive alignment and business-case validation.
- The path from discovery to pilot and scale was set from the start.
Digital QC app
Real-time defect capture and digital traceability for inspectors and supervisors.
Real-time impregnation quality monitoring
Sensor-led monitoring that shows process deviations earlier and stabilizes output.
Central digital batch record
Digital batch release, documentation and audit-trail automation.
RFID and barcode automation
Real-time stock tracking and reconciliation across inventory movements.
Smart maintenance scheduler
Predictive maintenance planning to optimize uptime and extend machine life.
4 to 8 weeks of IAC effort over about 3 months. About 14 days of your team’s time. One decision per initiative, backed by a business case.
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