Struggling to unlock real business value from AI? You’re not alone — most IT leaders find the gap between AI ambition and execution wider than expected. Every new AI initiative creates questions about data quality, system integration, governance, and skills. SHI helps you answer them — fast.
You need more than a tool; you need a strategy. SHI’s AI Readiness Assessment is a two-hour, expert-led strategic workshop that benchmarks your technical and business readiness. We evaluate your current systems, data, infrastructure, and business alignment across four critical pillars: security, data, infrastructure, and business.
We identify gaps, prioritize quick wins, and deliver a tailored strategic roadmap to enterprise AI adoption — using proven frameworks and real-world experience from 100+ successful deployments at leading Fortune 1000 organizations.
Deliverables:
- AI Maturity Assessment Score across all four pillars with capability benchmarking.
- An executive summary deck to support leadership discussions, outlining recommendations for your AI transformation strategy, organizational change management, and AI initiatives roadmap.
Key benefits
Technical foundation:
- Assess emerging security threats specific to AI adoption, including model poisoning, prompt injection, and data exfiltration risks.
- Evaluate AI solution deployment architecture — cloud-first, on-premises AI infrastructure, or hybrid solutions — to align with your scalability, compliance, and performance needs.
- Document infrastructure stack requirements for AI workloads — from GPU-accelerated compute to scalable storage and high-throughput networking.
- Evaluate your organization’s AI literacy and readiness across technical and business units.
Strategic planning:
- Develop a right-sized infrastructure strategy (cloud, on-prem, hybrid) aligned with your AI use cases and scalability needs.
- Align business and data strategies to ensure AI initiatives are feasible, governed, and ROI-driven.
- Build a prioritized roadmap with high-impact, quick wins, and long-term transformation goals.
- Provide budget planning guidance for recommended infrastructure and implementation phases.
Our AI Readiness Assessment is the first step toward a more efficient, AI-powered future.
Assessment pillars
Security
AI introduces new threat vectors and amplifies existing vulnerabilities. We assess your:
- Security posture: Are your identity, access, and data protection controls AI-ready?
- AI risk management: Do you have policies for model transparency, bias mitigation, and responsible AI?
- Threat awareness: Are you monitoring AI model behavior and inputs for adversarial attacks?
We benchmark your environment against frameworks like the National Institute of Standards and Technology (NIST) AI Risk Management Framework (AI RMF) and the Cybersecurity and Infrastructure Security Agency (CISA)/National Security Agency (NSA) secure AI development guidelines.
Data
AI is only as good as the data it learns from. We evaluate:
- Data availability and quality: Is your data centralized, labeled, and accessible across business units?
- Data governance: Do you have lifecycle policies, lineage tracking, and role-based access control (RBAC) and attribute-based access control (ABAC) models in place?
- Data literacy: Can your teams build, find, and use data products effectively?
We help you move from fragmented data silos to a governed, AI-ready data architecture using validated pipeline designs.
Infrastructure
AI workloads demand a modern, scalable, and adaptable infrastructure. We assess:
- Platform strategy: Are you leveraging the right mix of cloud, on-prem, and edge resources?
- Architecture maturity: Do you have containerization, machine learning operations (MLOps), and GPU-optimized environments in place?
- Scalability: Can your infrastructure support horizontal and vertical scaling for AI models?
We provide reference architectures and configuration best practices for deploying AI at scale, including NVIDIA DGX, Azure OpenAI, and hybrid GPU clusters.
Business value
AI is a catalyst for business transformation, not just a tech upgrade. We help you:
- Define value realization: Where can AI drive measurable ROI, including customer service, operations, and research and development?
- Establish governance: Do you have an RACI model, ethical AI policies, and change management plans?
- Upskill your workforce: Are your teams ready to adopt, manage, and scale AI solutions?
We apply SHI’s field-tested framework for AI governance, workforce transformation, and use case validation.
Why SHI?
SHI brings hands-on AI experience. We've implemented it ourselves and helped hundreds of customers do the same.
- Proven scale and expertise: Our experts bring a wealth of knowledge, delivering 100+ enterprise assessments and 8 documented generative AI onboarding blueprints.
- Measurable outcomes: From $30M in productivity gains to 25% faster onboarding, we've delivered tangible value across our customer base.
- Full-stack capabilities: From advisory to infrastructure to deployment, we cover the entire AI lifecycle.
- Secure by design: All solutions are built with compliance, governance, and resilience.
- Practical roadmap: Every assessment ends with a clear implementation roadmap and success metrics.