AI READINESS ASSESSMENT

Know exactly where you stand before investing in AI.
Get a clear, honest assessment of your organization’s readiness.

The Problem Most Companies Face

You’re hearing about AI everywhere. ChatGPT, AI agents, intelligent automation. Your competitors are exploring it. Your board is asking about it. Your team wants to know when you’re implementing it.

But here’s the reality: Most AI projects fail. Not because the technology doesn’t work, but because organizations aren’t ready for it.

You invest six figures. You hire consultants. You dedicate your best people. And six months later, you have nothing to show for it except frustrated stakeholders and wasted budget.

What You Actually Need

Before you invest in AI implementation, you need to know:

  • Is your data ready? Can you even access the data you need? Is it clean enough for AI to use?
  • Can your infrastructure handle it? Do you have the technical foundation to deploy AI systems?
  • Is your organization prepared? Does your team have the skills? Do you have executive buy-in?
  • Which use cases make sense? Where will AI actually deliver ROI vs. where it’s just hype?
  • What will it really cost? Not the vendor pitch. The actual total cost of ownership.

What You Get

Comprehensive Readiness Score

A clear 1-5 rating across five critical dimensions: data infrastructure, technical capabilities, organizational readiness, use case viability, and compliance/risk. No BS. No sugar-coating. Just honest assessment.

Detailed Gap Analysis

Specific identification of what you have, what you need, and how big the gaps are. We tell you exactly what’s missing and what it will take to close each gap—effort, timeline, and investment.

Prioritized Use Cases

A 2×2 matrix plotting your potential AI initiatives by impact and complexity. We identify the “Quick Wins” you should pursue first and the “Major Projects” that require more foundation-building.

12-Month Roadmap

A phased implementation plan: Foundation Building (months 1-3), Pilot Implementation (months 4-6), and Scaling (months 7-12). Each phase includes specific milestones, resource requirements, and investment ranges.

ROI Projections

Three-year total cost of ownership analysis with expected benefits by category. We show you break-even timelines and risk-adjusted scenarios (best case, expected, worst case) so you know what you’re really committing to.

Go/No-Go Recommendation

Sometimes the answer is “not yet.” We’ll tell you if you should proceed now, build foundation first, or reconsider entirely. This alone can save you hundreds of thousands in avoided mistakes.

Assessment Process

Step 1: Initial Questionnaire

30-45 minute online assessment covering your current state, business objectives, and AI aspirations. You complete this at your own pace.

Step 2: Stakeholder Interviews

2-hour deep-dive sessions with your key stakeholders—executives, IT leaders, and operations teams. We understand your unique challenges and constraints.

Step 3: Technical Review

Infrastructure and data assessment. We review your tech stack, data accessibility, API capabilities, and integration architecture—no fluff, just facts.

Step 4: Analysis & Report

2-3 weeks for comprehensive analysis. We deliver a 20-30 page detailed report with scores, gaps, roadmap, and recommendations.

Step 5: Presentation & Planning

2-hour presentation of findings to your executive team. We walk through the assessment, answer questions, and help you decide on next steps.

Who This Is For

This assessment is designed for:

  • CTOs and VPs of Engineering evaluating AI infrastructure requirements
  • CFOs and Budget Owners who need accurate cost projections before committing funds
  • CEOs and Founders deciding if AI investment makes strategic sense right now
  • VP of Operations exploring AI for process automation and efficiency
  • Data Leaders assessing organizational readiness for AI initiatives

Ideal company profile:

  • 50-5,000 employees
  • Considering AI investment of $100K+
  • Has existing digital infrastructure (not starting from zero)
  • Executive support for AI exploration
  • Willing to be honest about current limitations

Investment Options

Standard Assessment

$7,500

  • Complete online questionnaire
  • 2-hour stakeholder interviews
  • Technical infrastructure review
  • 20-30 page detailed report
  • 2-hour presentation of findings
  • 90-day implementation roadmap
  • 30-day follow-up call

Timeline: 2-3 weeks from kickoff

Comprehensive Assessment

$18,500

  • Everything in Standard, plus:
  • 1-2 day onsite visit
  • Multiple stakeholder interviews
  • Technical deep-dive with IT team
  • Data quality sampling and analysis
  • Process observation and workflow mapping
  • Competitive analysis
  • Detailed ROI projections by use case
  • Full 12-18 month implementation roadmap
  • Vendor shortlist with evaluation criteria
  • 60-90 day advisory support
  • Quarterly check-ins for 6 months

Timeline: 3-4 weeks from kickoff

Why Work With Me

I’m not a vendor trying to sell you AI tools. I’m a consultant who’s built data teams at six different companies and seen what works and what doesn’t.

  • 15+ years building data and ML systems at companies from Series A startups to Fortune 500
  • Former Solutions Architect at Databricks where I helped companies avoid expensive mistakes
  • Actually built AI systems in production—not just PowerPoint presentations
  • No vendor relationships—my recommendations are based solely on what’s best for you
  • Straight talk—if you’re not ready, I’ll tell you. If a use case is hype, I’ll say so.

Ready to Get Started?

Let’s have a conversation about your AI goals and whether an assessment makes sense for your organization.

SCHEDULE A CALL

No pressure. No sales pitch. Just an honest conversation about where you are and where you want to go.