Framework 03

Enterprise Integration Pattern Library

6 integration patterns extracted from 4 real case studies across maritime, legal, and marketing. Filter by industry, risk level, or integration type.

6 patterns

Industry:
Risk:
Type:

Progressive Disclosure UX

Medium

PJ Ferry / McAllister

MaritimeUX/Service Design

Making complex maritime operations accessible to non-technical field operators through layered information architecture.

60% reduction in training time for field operators

12
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API-First Digital Transformation

High

PJ Ferry / McAllister

MaritimeAPI/Event-Driven

Replacing paper-based maritime operations with a unified digital platform while maintaining regulatory compliance.

80% reduction in manual data entry

34
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IoT Predictive Maintenance

High

McAllister Towing

MaritimeAI/ML

Predicting equipment failures in harsh maritime environments using sensor data and ML models.

40% reduction in unplanned downtime

13
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Multi-Tenant SaaS Platform

High

PJ Ferry / McAllister

MaritimeSaaS

Serving multiple maritime operators with shared infrastructure while maintaining data isolation and custom workflows.

6 operators onboarded with single codebase

34
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Evidence-First Investigation Case Management

High

caseload

LegalAI/ML

Securing perishable evidence during pre-trial investigation, with provenance, calibrated assertions and an append-only chain of custody shared across agency, counsel and carrier.

24 adversarial tests on cross-account access

25
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AI-Driven Marketing Orchestration

Medium

Vibe Marketing

MarketingAI/ML

Orchestrating AI-generated content across channels while maintaining brand consistency and performance optimization.

4x content output with consistent brand voice

56
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