Real companies. Real results.

Anonymized case studies from early Hugiin engagements. Names are changed. The operating problems and results are not.

Automotive Interior Supplier

No systematic AI presence in a margin-squeezed market

A European Tier-2 automotive interior supplier faced the classic squeeze: OEMs demanding cost-downs, competitors consolidating, and no internal capability to evaluate where AI could create leverage. Leadership knew they needed to move but had no benchmark and no playbook.

Starting Point
L1, 18/80
Process

AI maturity assessment (MIURA-KO) → ExO 3.0 diagnostic → pitch architecture → prospect pipeline

Result

Delivered board-ready transformation architecture, ExO 3.0 scorecard, and a structured AI services pipeline for their customer base. From no AI presence to a credible AI-native offering in three weeks.

Approach

Started with a full AI maturity assessment using the MIURA-KO framework and a DRIVE/SHAPE scorecard. Identified three workflows where AI would create the most operating leverage. Built a pitch playbook and qualified prospect pipeline for AI-native transformation services — enabling the supplier to offer AI-augmented manufacturing to their own OEM customers.

Timeline

Assessment to pitch playbook: 3 weeks.

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Worker Accommodation

Manual booking consumed all founder time

A husband-wife team rents worker accommodation in the Ruhr region. Booking was eating 90% of their time. Every inquiry meant a phone call, a calendar check, and a manual invoice.

Starting Point
L0, 12/80
Process

Booking engine: email, availability, pricing, invoicing

Result

Response time fell from hours to minutes. Availability checks and invoicing now run automatically.

Approach

Agent cluster: inbox watcher, router, availability engine, pricer, escalator. Direct Mode, no middle management.

Timeline

7 days from discovery to code scaffold.

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Communications Agency

Founder bandwidth capped growth at 16 employees

A Düsseldorf communications agency had a strong reputation and very manual operations. With 16 employees, growth was still limited by founder bandwidth. Every pitch needed the CEO's personal touch.

Starting Point
L1, 19/80
Process

Pitch methodology: from brief to presentation

Result

Pitch architecture is now systematized. The first AI-assisted client pitch has shipped.

Approach

Edge Twin for pitch development. REWRITE phase: ASSESS & PREPARE. The backcasting workshop is complete.

Timeline

Discovery to Backcasting Workshop: 2 weeks.

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Food-Processing Manufacturer

Production readiness depended on disconnected files and manual coordination

A food-processing manufacturer was moving production information across legacy software, Excel workbooks, paper records, and verbal handoffs. The immediate question was not which AI tool to buy, but whether the underlying process and documents could support a safe, reliable operating layer.

Starting Point
Assess & Prepare
Process

REWRITE extraction → evidence review → one-order trace → Diagnose & Strip

Result

Produced a controlled evidence inventory, an order-readiness workflow map, and a bounded future concept: a read-only assistant that flags Ready, Blocked, or Human Check Required. The diagnostic remains in progress; no production decisions are automated.

Approach

Mapped the production-information flow from customer order and incoming goods through BOM readiness, production, quality, labels, shipping, and exceptions. We also separated current-state evidence from the future design: imperfect manual documents may need to be consolidated, redesigned, or replaced before automation.

Timeline

Ongoing diagnostic engagement.

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