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Research, frameworks, and technical guides from the Fulcrum team. Free to download.

In-depth research

Whitepapers

Detailed research papers grounded in real program experience, written for teams working through hard technical and operational problems.

White Paper
Supply Chain  ·  Program Management
Stabilizing Critical Suppliers to Protect Program Schedules
A Standards-Based Framework for Supplier Recovery, Development, and Risk Mitigation in Defense, Aerospace, and Advanced Manufacturing

Defense and aerospace programs run on thousands of suppliers, and a single underperforming link can stall an entire program. When a critical supplier begins missing delivery dates or shipping nonconforming parts, the consequences cascade quickly: production lines stall, penalties loom, and rework costs mount. This paper presents a four-stage, standards-anchored recovery framework covering root-cause corrective action, AS9100/AS9102 requalification, supplier development, performance dashboards, and the financial case for structural de-risking through dual-sourcing.

Fulcrum Integrated Solutions
July 2026
DOCX  ·  11 pages
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Practical frameworks

Guides

Field-tested frameworks distilled into something you can apply directly, drawn from decades of building and scaling technology businesses.

Guide
PDF  ·  Eight pillars
Strategy  ·  Operations

The Eight Pillars of a Successful Technology Business

Our thinking on what it takes to build a durable technology business, captured in one framework: product-market fit, scalable architecture, repeatable revenue, talent and culture, go-to-market engine, operational excellence, capital efficiency, and strategic differentiation, with applications to defense and technology contexts throughout.

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Guide
PDF  ·  3 pages
AI & Technology  ·  Operations

AI Operational Excellence

Practical frameworks for integrating AI into operational workflows, from process automation and predictive analytics to AI-enabled decision support. Focused on results over hype: where AI delivers real returns, how to sequence adoption, and how to avoid the implementation failures that sink most enterprise AI initiatives.

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