Insights
Real-world lessons, fresh analysis, and best practices to help leaders navigate AI complexity and change. Whether exploring emerging trends or seeking grounded perspectives, this content is designed to inform and inspire.
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Additional articles are on the way, so keep an eye out for fresh insights! Have suggestions for future articles or experience any issues accessing the PDFs? Please reach out to Tara Amble. Your feedback is appreciated, and we're here to help.
From Vision to Value: How to build a Strategic AI Roadmap that delivers real ROI
Unlocking real ROI from AI starts with a clear vision and a strategic roadmap. In our latest article, we break down how Business Leaders can move beyond AI hype to deliver measurable business value.
You'll discover how to assess opportunities, build compelling business cases, align AI initiatives with your organization's goals and establish governance frameworks for responsible deployment while maximizing ROI. From data readiness assessments to change management strategies, we cover the practical steps to turn AI vision into measurable business value.
Ready to turn AI ambition into tangible results? Read the full guide on building a winning AI strategy that drives growth through responsible, compliant AI deployment.
Would you Skydive without a Parachute? Why your AI needs ISO 42001 for a safe landing
ISO 42001 is a game changer. This article explains why you should make it the next step in your AI journey and how you can use it as a blueprint for AI Governance.
Many businesses are deploying powerful AI without proper governance and therefore exposing themselves to financial, operational, reputational, and legal risks. The international standard ISO 42001 provides the essential framework to manage both the promise and peril of AI.
Discover how ISO 42001 helps you:
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Navigate escalating regulatory pressures
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Build trust through transparency, accountability, and human oversight
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Demonstrate AI maturity and governance readiness to stakeholders
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Bring operational clarity to complex AI lifecycles
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Manage dynamic risks like bias, drift, and adversarial attacks
Whether you're scaling AI or just getting started, this guide provides a practical 9-step roadmap to leverage and align with ISO 42001. Don't wait for your first AI crisis to implement governance.
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Ready to future-proof your AI strategy with the right guardrails? Download the complete guide to learn how ISO 42001 can be your parachute for a safe AI landing.
The Boardroom’s AI Blindspot: Essential Questions Every Board Should Ask About AI
Directors face unprecedented pressure to govern AI effectively - but most boards are still struggling to identify hidden risks and close widening oversight gaps. As regulatory demands intensify and real-world failures spark headlines, boardroom complacency can be costly.
This exclusive whitepaper from Granite Fort Advisory gives directors the practical playbook they need to move from reactive to resilient. We break down:
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Why conventional approaches fail and what proactive boards do differently
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The critical oversight questions fast-tracking top companies to compliance and competitive advantage
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A proven roadmap for embedding AI expertise, accountability, and continuous governance at the board level.
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Whether you’re facing a shareholder challenge, anticipating new global regulations or simply striving for best-in-class risk management, this guide delivers clarity and actionable next steps.
Ready to future-proof your board’s stewardship and reputation?
Read “The Boardroom’s AI Blindspot” and equip your leadership with the tools that matter most.
Decoding the AI blackbox: Why Explainable AI is non-negotiable
AI models are black boxes delivering answers without explaining the "how" or the "why". As AI shapes high-stakes decisions, opaque models create legal, ethical and operational risk.
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Would you sign off on a financial model no one could explain?
Then why let AI make critical decisions as a black box?
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Explainable AI (XAI) bridges the gap by making AI decisions understandable and interpretable.
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Granite Fort Advisory’s new whitepaper makes the executive case for XAI. Inside, you’ll discover:
- What XAI really means (and what it is not)
- How global regulations (EU AI Act, GDPR, Colorado AI Act, FTC, ECOA, etc.) are raising the bar
- Practical methods (LIME, SHAP, XAI toolkits) to embed transparency into the AI lifecycle
- A Leader's Checklist to assess your readiness
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Bottom line: Unexplainable AI is a business risk. Explainable AI is a strategic asset.
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Don’t let opaque AI systems control your most critical decisions. Embrace XAI and make AI work for you - clearly and transparently.
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Click the button below to download the entire whitepaper on XAI.
Why So Many AI Initiatives Fail - And How to Break the Cycle
A recent MIT study concluded that despite skyrocketing investments and executive focus, most organizations still struggle to translate pilots into measurable business impact. In this ​Granite Fort Advisory insight, we discuss the structural causes behind these failures - spanning strategy, data, technology, people, and governance - and share a blueprint for sustainable AI success:
o Align AI with business strategy & measurable KPIs
o Strengthen data & technology foundations
o Embed governance & responsible AI practices
o Drive adoption through culture and change management
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The takeaway: AI success is not about isolated pilots - it’s about enterprise transformation.
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Don’t let opaque AI systems control your most critical decisions. Embrace XAI and make AI work for you - clearly and transparently.
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Click the button below to download the entire whitepaper.
Countdown to Compliance: The Comprehensive CEO & CIO Guide to the Colorado AI Act
This executive eBook provides an in-depth under-the-hood analysis of the Colorado AI Act and its implications for organizations. Colorado's AI regulation (SB 24-205) goes into force June 20, 2026. This law applies to any company that uses AI to sell goods or services or hire people in Colorado.
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Organizations must be ready or face Attorney General-led audits, injunctions, penalties, multi-million dollar exposure, lawsuits and lost trust. CEOs and CIOs can't afford to wait - failure isn't an option. The eBook provides a playbook to staying ahead. The compliance clock is ticking and so it is imperative that organizations start preparing now to turn Colorado's AI Act into a competitive advantage - not a costly mistake. ​
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Click the button below to download the full eBook.
AI Agents with Guardrails - Transforming Prior Authorization in Healthcare
For years, automation has promised to fix healthcare’s administrative bottlenecks. But nowhere is that promise more urgent than in Prior Authorization (PA) - one of the industry’s most painful, inefficient, and high-impact processes. Every day, providers spend hours gathering documentation, re-submitting requests, and waiting for payer approvals. Patients face delays in starting treatment.
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Our latest whitepaper, “AI Agents with Guardrails – Transforming Prior Authorization in Healthcare,” explores how we can enhance the Prior Authorization process with AI and the right governance guard rails.
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Click the button below to download the entire whitepaper.
How to Fire Your AI: Exit strategies when your model goes rogue
AI lock‑in isn’t a “maybe later” problem - it’s a resilience risk. This executive eBook shows how to plan for “AI divorce” before you’re trapped, with practical steps to protect derived data, avoid migration shocks and execute clean transitions without losing momentum. You’ll learn how to shift exit planning left into contracts, design abstraction layers for portability and run MLOps cutovers (shadow, canary, blue‑green) with objective metric gates and rollback clocks.
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What you’ll get:
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Contract language for artifact escrow, egress SLAs and data/IP protection
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An AI Exit Framework across contracts, architecture and transition playbooks
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A 30/60/90 plan for drills, offboarding rehearsals, and board‑ready evidence
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Vendor lock‑in lifecycle, exit paths, a sample Gantt roadmap and lots more.
Audience: CAIOs, CIOs, CISOs, General Counsel, and Boards seeking resilience, compliance, and bargaining power across AI portfolios.
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Click the button below to download the full eBook and get exit‑ready ahead of time.
AI in Healthcare Claims Clinical Editing
Traditional clinical editing engines rely on static rules to validate claims - effective for compliance, but limited in context. As coding complexity and policy changes accelerate, these systems struggle to keep pace.
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This white paper explores how AI augments rule-based editing with reasoning and pattern recognition, creating smarter, more adaptive payment integrity programs.
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The result is a shift from rigid rule enforcement to intelligent, defensible automation - reducing leakage, provider abrasion, and compliance risk while improving trust across the ecosystem.
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Click the button below to download the full whitepaper: AI in Healthcare Claims Clinical Editing
Is Human-in-the-Loop Really Working for Your High-Risk AI?
(The TRUST360™ HITL Assurance Toolkit)
In high-stakes AI applications, human oversight is critical but simply having a human-in-the-loop (HITL) is not enough. This comprehensive Technical eBook reveals the hidden risks of unstructured HITL setups, including rubber-stamping, silent bias, phantom oversight, and escalation gaps.
Learn how to transform human review from a weak link into an auditable, validated control layer with the TRUST360™ HITL Assurance Toolkit.
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Explore practical frameworks, the HITL maturity model and best practices that ensure your HITL implementation delivers true compliance, safety and accountability.
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Click the button below to download the full Technical eBook.