The Pedowitz Group AI Readiness Assessment is a free, 15–20 minute diagnostic that evaluates marketing and revenue operations organizations across seven capability dimensions — Strategic Alignment, Data Readiness, Technology & Infrastructure, Process & Governance, People & Skills, Culture & Mindset, and AI Use Case Maturity — each scored on a 1.0–4.0 numeric scale across four maturity stages: Ad-hoc, Emerging, Scaling, and Leading. Upon completion, participants receive a personalized PDF report with an executive summary, dimension-level scores, a composite overall score, capability gap analysis, and a prioritized AI adoption roadmap — giving CMOs, Marketing Operations leaders, and Revenue Operations teams a clear, evidence-based starting point for AI strategy, budget allocation, and vendor selection.
AI Readiness Assessment for Marketing & Revenue Operations
Evaluate your organization's readiness to adopt, implement, and scale AI across seven capability dimensions. Complete the free assessment and receive a personalized AI adoption roadmap from The Pedowitz Group.
What Is an AI Readiness Assessment?
- AI Readiness Assessment
- An AI Readiness Assessment is a structured diagnostic tool that evaluates an organization's current capability to adopt, deploy, and scale artificial intelligence across marketing, sales, and revenue operations functions. The Pedowitz Group's assessment measures readiness across seven capability dimensions — Strategic Alignment, Data Readiness, Technology & Infrastructure, Process & Governance, People & Skills, Culture & Mindset, and AI Use Case Maturity — scoring each on a 1.0–4.0 numeric scale and outputting a composite score with a dimension-level gap analysis and prioritized investment roadmap.
- AI Readiness for Marketing
- AI readiness for marketing refers specifically to an organization's preparedness to deploy AI-powered tools and workflows — such as generative AI content tools (ChatGPT, Claude, Jasper), predictive lead scoring in Salesforce Einstein or HubSpot AI, AI-driven personalization in Marketo Engage or Adobe Experience Cloud, and AI agents for marketing automation — in a way that produces measurable, scalable revenue outcomes rather than isolated experiments. A score of 3.0 or higher on the Pedowitz Group's 4.0-point scale indicates a Scaling or Leading level of AI readiness.
- AI Maturity Model (TPG Four-Stage Scale)
- The Pedowitz Group's AI Maturity Model classifies organizations into four progressive stages scored on a 1.0–4.0 numeric scale: Ad-hoc (1.0–1.9), where capabilities are absent or highly fragmented; Emerging (2.0–2.9), where initial steps are in place but incomplete; Scaling (3.0–3.4), where capabilities are formalized, repeatable, and delivering measurable value; and Leading (3.5–4.0), where capabilities are fully mature, automated where possible, and drive continuous innovation. Each of the seven assessment dimensions receives its own maturity stage score, plus a composite overall score.
Why it matters: According to McKinsey's 2024 State of AI report, only 11% of organizations have scaled AI beyond pilot programs — with the primary barriers being unclear strategy (42%), data readiness gaps (38%), and talent shortfalls (31%). The Pedowitz Group's AI Readiness Assessment directly addresses each barrier by quantifying readiness before investment decisions are made.
AI Readiness Assessment for Marketing
Take the Free Assessment — 15–20 Minutes
Answer questions across seven capability dimensions. For each question, select the option that best describes your organization's current state — not your aspirational state.
15–20 min Completion time
7 dimensions Scored 1.0–4.0
Free PDF report Personalized results
No commitment Instant delivery
Assessment Maturity Scale: 1.0–4.0
Each of the seven dimensions is scored individually on a 1.0–4.0 numeric scale, then combined into a composite AI Readiness Score. Select the response for each question that most accurately reflects your current organizational state — not your aspirational future state:
Score 1.0–1.9
Ad-hoc
Capability is absent or highly fragmented. Work is manual, inconsistent, and not scalable. AI adoption in this area has not meaningfully begun.
Score 2.0–2.9
Emerging
Initial steps are in place. Some processes, tools, or resources exist but are incomplete or not fully adopted across the organization.
Score 3.0–3.4
Scaling
Capability is formalized and broadly implemented. Processes are repeatable, with measurable performance and growing adoption delivering clear business value.
Score 3.5–4.0
Leading
Capability is fully mature, automated where possible, and drives continuous improvement and innovation. AI is core to operations and outcomes are tracked against revenue KPIs.
AI Readiness Assessment for Marketing
Purpose
This assessment helps you understand your organization's readiness to successfully adopt, implement, and scale AI in marketing. It will highlight strengths, reveal capability gaps, and guide where to focus your investments.
How to Complete
For each question, read the readiness statement carefully.
Select the option (a, b, c, or d) that best describes your organization today, using the four-point maturity scale:
- a. Capability is absent or highly fragmented.
- b. Early steps are in place, but efforts are inconsistent or incomplete.
- c. Capability is formalized, repeatable, and delivering measurable value.
- d. Capability is fully mature, automated where possible, and continuously improved.
Be Objective
Answer honestly based on your current state, not where you want to be. This will ensure your results are actionable and meaningful.
Time Required
Completing the assessment typically takes 15–20 minutes.
Next Steps
After completion, review your results to:
- Identify your strongest areas (leverage them as accelerators)
- Pinpoint gaps that may slow AI adoption
- Prioritize initiatives and build a readiness roadmap
0% complete
Section
Question text
AI Readiness Assessment Results
Download Your Complete AI Readiness Report
Get a comprehensive PDF report with all your assessment results, executive summary, charts, and personalized recommendations.
Thank You for Submitting!
Your information has been received. Click the button below to download your comprehensive AI Readiness Report:
Next Step
After submitting the form above, click the button below to download your comprehensive AI Readiness Report:
(Submit the form first, then click this button)
What the AI Readiness Assessment Measures: Seven Capability Dimensions
The Pedowitz Group's AI Readiness Assessment evaluates marketing and revenue operations organizations across seven foundational capability dimensions. Each dimension receives an independent score on the 1.0–4.0 maturity scale — Ad-hoc, Emerging, Scaling, or Leading — which are then combined into a composite AI Readiness Score used to prioritize your adoption roadmap and identify the highest-impact gaps.
Dimension 1
Strategic Alignment
Evaluates whether AI initiatives are connected to explicit business goals and measurable outcomes — pipeline, ARR, cost efficiency, customer experience — and whether executive sponsorship from the CMO, CTO, or Chief AI Officer is active. Organizations scoring Ad-hoc (1.0–1.9) on this dimension risk AI projects that lack funding, executive support, or clear success criteria. Priority actions include building a simple AI business case with expected ROI and identifying 1–2 business outcomes where AI could have measurable impact within 90 days.
Signals assessed: AI strategy tied to revenue KPIs; executive sponsor identified; pilot funding secured; AI goals in team OKRs
Dimension 2
Data Readiness
Assesses the availability, quality, accessibility, and governance of data required to train, fine-tune, and operate AI models — including CRM data completeness in Salesforce or HubSpot, first-party data strategy, integration coverage, and the presence of automated quality monitoring. Organizations scoring Scaling (3.0–3.4) on this dimension typically have a strong foundation and should focus on closing remaining integration gaps, automating quality checks, and moving toward unified real-time data access via a customer data platform (CDP) such as Segment, Tealium, or Adobe Real-Time CDP.
Signals assessed: CRM data completeness %; CDP deployed; real-time data access; automated quality monitoring; first-party data governance policy
Dimension 3
Technology & Infrastructure
Evaluates whether the marketing technology stack — including Salesforce Marketing Cloud, HubSpot, Marketo Engage, Adobe Experience Cloud, and 6sense — has AI capabilities activated and integrated into live workflows. Organizations scoring Emerging (2.0–2.9) typically have basic integrations in place but face scalability gaps. Priority actions include connecting core systems (MAP, CRM, analytics), experimenting with low-risk AI tools and features, and creating an AI experimentation sandbox environment to test use cases without disrupting production systems.
Signals assessed: MAP-CRM-analytics integration; Salesforce Einstein or HubSpot AI activated; AI experimentation environment; reporting dashboards live
Dimension 4
Process & Governance
Measures whether formal processes exist for piloting AI, reviewing AI outputs, and governing AI use across the organization — including human-in-the-loop review workflows, cross-functional AI working groups, and ethical AI guidelines. Organizations scoring Emerging (2.0–2.9) on this dimension face risk of inconsistent AI adoption and compliance exposure, particularly for data privacy regulations like GDPR and CCPA when using tools such as ChatGPT Enterprise, Claude for Work, or Microsoft Copilot without documented acceptable use policies.
Signals assessed: AI pilot criteria and success metrics defined; human-in-the-loop review process; AI working group active; ethical AI guidelines published; GDPR/CCPA compliance reviewed
Dimension 5
People & Skills
Assesses whether marketing and revenue operations teams have the skills, training programs, and organizational structures to operate AI tools effectively — including prompt engineering capability, data literacy, AI tool adoption rates, and whether a formal AI Center of Excellence (CoE) exists. Organizations scoring Scaling (3.0–3.4) on this dimension have a strong talent base and should focus on upskilling teams on advanced AI tools, forming a dedicated AI CoE, and rotating talent through AI projects to build institutional capability.
Signals assessed: AI training program active; prompt engineering skills present; AI CoE or working group established; AI skills in hiring criteria; innovation time allocated
Dimension 6
Culture & Mindset
Evaluates the degree to which AI adoption is embedded in organizational culture — including leadership's comfort with AI experimentation, the presence of a safe-to-fail environment for AI pilots, whether AI goals are included in team objectives, and whether early wins are actively celebrated and shared. Organizations scoring Emerging (2.0–2.9) face risk of AI remaining experimental rather than becoming core to marketing operations. Priority actions include allocating dedicated budgets for AI pilots, including AI goals in team OKRs, and creating visible recognition for AI-driven wins.
Signals assessed: AI wins celebrated and shared; AI pilot budgets allocated; AI goals in team objectives; safe-to-fail culture established; leadership champions AI publicly
Dimension 7
AI Use Case Maturity
Evaluates whether a structured, living AI use case roadmap exists — with a prioritized backlog, scoring framework (effort vs. business impact), and direct connection to GTM strategy, pipeline targets, and revenue KPIs. This is typically the strongest dimension for organizations that have been experimenting with AI tools. Organizations scoring Leading (3.5–4.0) on this dimension should focus on maintaining a living AI roadmap with strategic focus, continuously adding innovative use cases, measuring comprehensive portfolio ROI, and pioneering new AI applications for competitive advantage. The Pedowitz Group's AI Project Prioritization tool complements this dimension.
Signals assessed: AI use case backlog documented; effort-vs-value prioritization framework applied; use cases tied to pipeline or revenue KPIs; portfolio ROI tracked; living AI roadmap maintained quarterly
What You Receive After Completing the Assessment
Upon completing the assessment and submitting the form, participants receive a free, comprehensive AI Readiness Report delivered as a PDF. The report includes:
Composite AI Readiness Score
A single composite score on the 1.0–4.0 scale reflecting your organization's overall AI readiness stage — Ad-hoc (1.0–1.9), Emerging (2.0–2.9), Scaling (3.0–3.4), or Leading (3.5–4.0) — with context on what that score means for your company, your team, your individual role, and your customers.
Dimension-Level Maturity Scores
Individual 1.0–4.0 scores for all seven capability dimensions — Strategic Alignment, Data Readiness, Technology & Infrastructure, Process & Governance, People & Skills, Culture & Mindset, and AI Use Case Maturity — displayed as a performance chart identifying your strongest dimension and biggest opportunity area.
Prioritized AI Adoption Roadmap
A phased AI adoption roadmap with specific recommended actions for each dimension gap, sorted by business impact and implementation effort — so you know exactly where to focus first to advance from your current maturity stage toward Scaling or Leading.
Top 3 Capability Gaps
The three highest-priority gaps identified from your assessment responses, with specific, actionable recommendations for addressing each — including tool suggestions (e.g., Segment for data, 6sense for intent, Claude for Work for content) and process changes.
Quick Win Recommendations
Two to four AI use cases your organization can activate within 30–60 days using your existing martech stack — such as enabling Salesforce Einstein lead scoring, activating HubSpot AI content tools, or deploying a Marketo AI-powered behavioral scoring model.
Executive Summary
A one-page executive summary suitable for sharing with the CMO, CTO, or Board — framing current AI readiness, the business case for investment, and the three most impactful next steps with estimated timelines.
Who Should Take the AI Readiness Assessment?
The assessment is designed for B2B marketing, sales, and operations leaders who are evaluating, planning, or scaling AI adoption — particularly those responsible for budget, strategy, or technology decisions.
Chief Marketing Officers (CMOs)
Use the assessment to understand organizational AI readiness before committing budget, and to build the business case for AI investment with the CEO and Board.
VP / Director of Marketing Operations
Use the assessment to audit data quality, technology stack AI activation, and process readiness — and to identify which martech platforms (HubSpot, Marketo, Salesforce) have underutilized AI features.
Revenue Operations (RevOps) Leaders
Use the assessment to evaluate AI readiness across the full revenue cycle — from lead scoring and pipeline forecasting to customer health scoring in Gainsight and expansion signal detection.
Chief Technology Officers (CTOs) & IT Leaders
Use the assessment to evaluate data infrastructure readiness, integration architecture gaps, and governance policy completeness before deploying AI tools like ChatGPT Enterprise, Claude for Work, or Microsoft Copilot.
Demand Generation & Digital Marketing Leaders
Use the assessment to identify where AI can accelerate campaign performance — including intent data activation via 6sense or Bombora, AI-driven content personalization, and predictive audience segmentation.
Marketing Technology Consultants & Agency Leaders
Use the assessment to benchmark client AI readiness at the start of an engagement — establishing a baseline, identifying quick wins, and building a phased AI roadmap as part of a Revenue Marketing transformation program.
15–20
Minutes to complete
7
Capability dimensions assessed
1.0–4.0
Scoring scale per dimension
Free
No cost, no commitment
Typical AI Readiness Findings: What Most B2B Organizations Discover
Based on The Pedowitz Group's AI assessments and transformation engagements across B2B technology, financial services, manufacturing, and healthcare organizations, the following patterns appear consistently:
| Capability Dimension | Typical Score Range | Primary Gap Found | Priority Action |
|---|---|---|---|
| Strategic Alignment | 1.0–1.5 (Ad-hoc) — most commonly the lowest-scoring dimension | AI initiatives lack business focus; no executive sponsor; no connection to revenue KPIs or pipeline targets | Build a simple AI business case with expected ROI; identify 1–2 outcomes where AI could have measurable impact; secure pilot funding from leadership |
| Data Readiness | 2.4–2.8 (Emerging to Scaling) | CRM records in Salesforce or HubSpot have completeness gaps; no CDP deployed; data quality is manual, not automated | Close integration gaps; automate quality checks and remediation; move toward unified real-time data access via Segment, Tealium, or Adobe Real-Time CDP |
| Technology & Infrastructure | 1.8–2.2 (Emerging) | AI features in Salesforce Einstein, HubSpot AI, or Marketo Engage are licensed but not configured or integrated into active workflows | Integrate core systems (MAP, CRM, analytics); experiment with low-risk AI features; implement basic reporting dashboards; create AI sandbox environment |
| Process & Governance | 1.8–2.2 (Emerging) | Basic processes exist but lack formalization; no AI acceptable use policy; teams using ChatGPT or Claude without data handling guidelines | Develop pilot criteria and success metrics; create human-in-the-loop review workflows; build cross-functional AI working group; implement ethical AI guidelines |
| People & Skills | 2.3–2.7 (Emerging to Scaling) | No formal AI training program; prompt engineering skills absent from Marketing Ops and demand gen teams; no AI Center of Excellence | Upskill teams on advanced AI tools; form a dedicated AI Center of Excellence; create innovation time for AI experimentation; rotate talent through AI projects |
| Culture & Mindset | 1.8–2.2 (Emerging) | AI is growing in acceptance but not embedded; risk of remaining experimental rather than operational; no AI goals in team objectives | Celebrate early wins and share lessons; allocate budgets for AI pilots; include AI goals in team OKRs; create safe-to-fail environment for experimentation |
| AI Use Case Maturity | 3.0–3.4 (Scaling to Leading) — most commonly the highest-scoring dimension | Use cases exist and are being tested, but lack a living roadmap, portfolio ROI tracking, or connection to competitive strategy | Maintain a living AI roadmap with strategic focus; continuously add innovative use cases; measure comprehensive portfolio ROI; use TPG's AI Project Prioritization tool |
Client Snapshot: From Emerging to Scaling Across Four Dimensions in 90 Days
A mid-market B2B SaaS company completed The Pedowitz Group's AI Readiness Assessment and received a composite score of 2.27 — placing them at the Emerging/Scaling boundary — with Strategic Alignment flagged as the critical gap at 1.0 (Ad-hoc) and AI Use Case Maturity as their strongest dimension at 3.2 (Scaling). Their marketing team of 12 was actively using AI tools including ChatGPT, Jasper, Salesforce Einstein, and a third-party intent data platform, but without a shared strategy, governance policy, or any connection to pipeline reporting in Salesforce.
Following the assessment, TPG designed a 90-day AI readiness sprint targeting the four lowest-scoring dimensions: Strategic Alignment, Technology & Infrastructure, Process & Governance, and Culture & Mindset. Deliverables included a documented AI business case tied to pipeline KPIs, activation of dormant Salesforce Einstein lead scoring, an AI acceptable use policy, and a prompt engineering workshop for the marketing ops team. By Day 90, three dimensions had advanced from Emerging to Scaling, and AI-influenced pipeline was visible for the first time in the Salesforce revenue dashboard.
2.27
Starting composite score (Emerging/Scaling)
3 of 7
Dimensions advanced to Scaling in 90 days
Day 90
AI-influenced pipeline visible in Salesforce
Frequently Asked Questions: AI Readiness Assessment
What is the Pedowitz Group AI Readiness Assessment?
The Pedowitz Group AI Readiness Assessment is a free, 15-to-20-minute diagnostic tool that evaluates marketing and revenue operations organizations across seven capability dimensions: Strategic Alignment, Data Readiness, Technology and Infrastructure, Process and Governance, People and Skills, Culture and Mindset, and AI Use Case Maturity. Each dimension is scored on a 1.0–4.0 numeric scale across four maturity stages — Ad-hoc (1.0–1.9), Emerging (2.0–2.9), Scaling (3.0–3.4), and Leading (3.5–4.0) — and participants receive a personalized PDF report with a composite score, dimension-level analysis, priority actions, and an AI adoption roadmap.
How long does the AI Readiness Assessment take to complete?
The assessment typically takes 15 to 20 minutes to complete. It covers seven capability dimensions. For each question, participants select the response that most accurately describes their organization's current state — not aspirational future state — using the four maturity stages: Ad-hoc, Emerging, Scaling, and Leading, scored on a 1.0–4.0 numeric scale.
What capability dimensions does the AI Readiness Assessment evaluate?
The assessment evaluates seven capability dimensions: (1) Strategic Alignment — whether AI initiatives are connected to revenue KPIs and have executive sponsorship; (2) Data Readiness — CRM data completeness, CDP deployment, and data quality automation; (3) Technology and Infrastructure — whether AI features in Salesforce Einstein, HubSpot AI, Marketo Engage, and Adobe Experience Cloud are actively configured and in use; (4) Process and Governance — pilot criteria, human-in-the-loop review, and ethical AI guidelines; (5) People and Skills — prompt engineering capability, AI training programs, and Center of Excellence existence; (6) Culture and Mindset — leadership's embrace of AI experimentation and whether AI goals are embedded in team objectives; and (7) AI Use Case Maturity — whether a living AI roadmap with prioritized backlog and portfolio ROI tracking exists and is connected to GTM strategy.
What do I receive after completing the AI Readiness Assessment?
After submitting the assessment, participants receive a free PDF report that includes: a composite AI Readiness Score on the 1.0–4.0 scale with maturity stage (Ad-hoc, Emerging, Scaling, or Leading); individual scores for all seven capability dimensions showing the strongest dimension and biggest opportunity; implications and priority actions for each dimension; personalized recommendations for what AI readiness means for the company, the individual, their team, and their customers; and an executive summary suitable for sharing with the CMO, CTO, or Board.
Who should complete the AI Readiness Assessment?
The assessment is designed for B2B marketing, sales, and operations leaders including CMOs, VP or Director of Marketing Operations, Revenue Operations leaders, CTOs, demand generation directors, and marketing technology consultants. It is most valuable for organizations currently evaluating AI investment decisions, planning a formal AI strategy, or attempting to scale AI use cases beyond initial pilots — particularly those using Salesforce, HubSpot, Marketo Engage, Adobe Experience Cloud, or similar enterprise martech platforms.
What is the difference between AI readiness and AI maturity?
AI readiness refers to an organization's preparedness to begin or expand AI adoption — assessing whether the foundations of strategy, data, technology, talent, and governance are sufficiently in place to deploy AI successfully. AI maturity refers to how far along an organization already is in its AI adoption journey — from initial experimentation through scaled, automated operations. The Pedowitz Group's AI Readiness Assessment measures both simultaneously: it identifies current maturity level per dimension while diagnosing specific readiness gaps that would block the next stage of adoption.
Does completing the assessment commit me to working with The Pedowitz Group?
No. The AI Readiness Assessment is completely free and carries no obligation to engage with The Pedowitz Group. The PDF report and personalized recommendations are provided at no cost as a resource for marketing and revenue operations leaders making AI investment decisions. If organizations want support acting on the assessment findings — through TPG's AI Roadmap Accelerator, AI Agents and Automation services, or Revenue Marketing transformation engagements — those options are available but entirely optional.
Know Exactly Where You Stand Before You Invest in AI
The Pedowitz Group's free AI Readiness Assessment takes 15–20 minutes and delivers a personalized report with your composite score, dimension-level gaps, quick wins, and a phased AI adoption roadmap.
Related AI Resources from The Pedowitz Group
Get in touch with a revenue marketing expert.
Contact us or schedule time with a consultant to explore partnering with The Pedowitz Group.