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White papers, checklists, and tools from Maple Quanta Inc. on AI governance, technical risk, and emerging technology adoption. All downloads are free.
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White paper · PDF · Version 1.0, August 2026
A framework for determining whether AI performance claims can be trusted. It sets out seven evaluation dimensions, the E0–E4 evidence hierarchy, Evaluation Confidence Levels, the Production Evaluation Gap between laboratory and operational capability, and the Maximum Credible Evaluation Failure.
Download the white paper About the assurance serviceExecutive guide · PDF · August 2026
A short executive guide for anyone about to approve a purchase, a pilot, or a production deployment on the strength of a benchmark score. Ten questions, what a good answer looks like, and what each weak answer should change about the decision.
Download the executive guideWhite paper · PDF · Version 1.1, August 2026
A practical framework for measuring control over autonomous AI systems. It sets out six containment dimensions, the Agentic Exposure Profile, Maximum Credible Agent Impact, and the Intervention Time / Damage Time comparison that decides whether oversight is operationally meaningful.
Download the white paper About the assurance serviceWhite paper · PDF
From AI Hype to Executive Control: a practical governance framework for responsible AI adoption, written for executives and the teams that support them.
Download the white paperCompany profile · PDF
A concise overview of Maple Quanta Inc.'s advisory capabilities in artificial intelligence, data science, quantum technology, governance, and technical risk.
Download the capability statementIn development
These resources are being prepared for publication. If one would help a decision you are facing now, get in touch — we can often share working material directly.
Short, decision-focused checklists for executives: questions to ask before approving an AI initiative, signing a vendor contract, or deploying a model into operations.
Self-assessment tools that help organizations understand their AI governance maturity before commissioning a full assessment.
About the AI Readiness AssessmentPlain-language briefings on quantum computing, sensing, and post-quantum cryptography for non-specialist leadership audiences.
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