AI Assurance Consulting for SMBs

Get independent AI Assurance that proves your systems are safe, compliant, and value-generating—so boards, regulators, and customers can trust what you ship.

Are these AI questions keeping you up at night?

  • What are my employees sharing with ChatGPT?
  • Is my IP and data secure with AI?
  • What penalties could we face for AI compliance issues?
  • How prevalent is Shadow AI in my organization?
  • How do I stack up to my competitors in using AI?
  • Can we defend AI-driven decisions if a regulator, auditor, or customer challenges them?

Is Your Business Ready for AI?

Take our free 15-minute assessment to discover your AI readiness score, assurance gaps, and hidden risks.

Start Your AI Assurance Reality Check →

AI Assurance Quick Start Services

Why Choose Boxwood Strategy Group

Our Value-First Method™ ensures you see results before committing to large-scale engagements:

  • Anticipatory Governance — We predict and resolve regulatory risks before they become liabilities through future-state regulatory mapping and automated compliance monitoring.
  • People-Centric Design — AI adoption fails without human buy-in. We prioritize behavioral impact assessment, intuitive interfaces, and change management that drives real adoption.
  • Process Integrity — Build stakeholder trust with transparent, auditable, bias-mitigated systems including end-to-end documentation and explainable AI implementation
  • SMB-Focused Expertise — Enterprise-grade governance scaled for mid-market budgets and timelines.
  • Rapid Time-to-Value — Start with a 5-day sprint or lite assessment before committing to larger programs.
  • Measurable ROI — Clear deliverables with quantifiable business impact (40% reduction in compliance incidents in year one).

Customer Success Services (AI-Enhanced)

  • CSM audits and strategic assessments
  • Customer onboarding optimization
  • Health scoring and churn reduction programs
  • QBR facilitation and playbook development
  • Customer lifetime value maximization

AI Assurance Consulting Services

  • AI Governance Maturity Assessment Roadmap (4-6 weeks) – Delivers current state assessment, governance maturity scorecard, and 12-month implementation roadmap. Benefit: Reduce compliance incidents by 40% within first year.
  • AI Ethics Policy Development (6-8 weeks) – Provides AI ethics charter, operational policies, risk frameworks, and team training materials. Benefit: Build stakeholder trust and ensure regulatory compliance.
  • AI Risk Management & Compliance Program (8-12 weeks) – Includes risk mitigation strategies, compliance monitoring dashboards, audit preparation, and governance processes. Benefit: Proactive risk management aligned with emerging regulations.

5-Day AI Assurance Sprints

AI Governance Assurance Sprint

Fast-Track Responsible AI Compliance

In just five days, establish the governance foundation your board demands. Walk away with a comprehensive maturity assessment, regulatory gap analysis, and a 12-month implementation roadmap that reduces compliance incidents by 40% while accelerating—not slowing—AI adoption. As a result, this is perfect for organizations facing regulatory pressure or preparing for board-level AI discussions.

Investment: 5-Day Engagement | Outcome: Board-ready governance framework and compliance roadmap

AI Assurance Readiness Sprint

Discover Your AI Opportunity Landscape

Transform uncertainty into clarity with a comprehensive evaluation of your AI readiness across technology, people, and processes. Receive a prioritized portfolio of high-impact AI use cases with 10-40% efficiency gain potential, capability gap analysis, and a practical roadmap that eliminates costly false starts. Consequently, this is ideal for organizations exploring AI investments or seeking to optimize existing initiatives.

Investment: 5-Day Engagement | Outcome: AI maturity scorecard and opportunity heat map with business cases

AI Value Assurance Sprint

Move Beyond Vendor Promises to Financial Reality

Make AI investment decisions with confidence through rigorous financial modeling that reveals true lifecycle costs and quantified business value. Receive defensible business cases with ROI, NPV, and risk-adjusted returns that accelerate executive approvals and optimize resource allocation. Therefore, this is essential for organizations evaluating significant AI investments or building business cases for board approval.

Investment: 5-Day Engagement | Outcome: Board-ready business cases with comprehensive financial models

Reviews

COO of a Fortune 500 Organization

“The AI coaching I received transformed our business strategies, making them more ethical and effective! Highly recommend for anyone looking to elevate their operations.”

VP of CSM at a start-up

“Thanks to Boxwood Strategy we were able to integrate our CSM practice with our product development team to give us greater competitive advantage.”

Contact Us

Founder and Principal: Campbell Robertson

cir@boxwood-strategy.com

FAQ

What is AI governance and why does it matter?

In brief, AI governance sets policies, controls, and accountability throughout the AI process. Therefore, it helps you reduce risk and meet rules.

How do you align AI with SOC 2, HIPAA, ISO 27001, and NIST AI RMF?

First, we map tasks to these standards. Then we create audit-ready proof in your workflow. In addition, we keep model cards and risk logs.

How do you measure ROI of AI features?

Specifically, we track how people use the AI, what it costs, and how it affects profit. Moreover, we set clear stop rules if value drops.

How do you manage AI vendor risk?

Initially, we run due diligence checks. Next, we set data use limits in contracts. Finally, we watch for unusual patterns.

How do you govern knowledge graph provenance and consent?

Basically, we label each data piece with its source and consent status. Then we only retrieve data users approved. Furthermore, we log all data use.

What is AI Assurance and how is it different from AI governance?

AI governance defines the rules and responsibilities for using AI. AI Assurance tests whether those rules actually work in practice—through assessments, audits, monitoring, and evidence that your AI is safe, compliant, and value-generating.