Free AI Assessment

Is Your Business Ready for AI? (Or Will It Just Waste Your Money?) 

Artificial Intelligence is a powerful growth lever—but only if your operations are structurally ready to sustain it. Implementing AI tools into chaotic, unstructured workflows results in expensive software bills and abandoned tools. This 10-minute assessment is designed specifically for businesses with 1 to 20 employees. It will evaluate your actual AI Need (where automation can save you 15+ hours a week) against your AI Readiness (whether your data, processes, and budget are ready for an implementation sprint). Answer the questions below to discover your AI Profile and find out if a custom AI implementation makes strategic sense for your bottom line.

Your AI Potential (Need Questions)

These questions evaluate whether the business is suffering from inefficiencies that require an outside consultant's help. Total possible points: 15.

Q1: Look at your team's weekly schedule. How many total hours are collectively lost to repetitive, manual, or highly patterned tasks? (e.g., manual data entry, copy-pasting info between apps, basic client follow-ups, scheduling)

• • Less than 5 hours per week (1 point)

  • 5 to 14 hours per week (2 points)

  • 15+ hours per week—repetitive workflows are noticeably draining our time. (3 points)

Q2: Which statement best describes your current software spend and team adoption regarding AI tools (e.g., ChatGPT Plus, Claude, or AI add-ons in your CRM)?

• • We spend little to nothing on AI tools right now. (1 point)

  • We pay for a few accounts, and the team uses them frequently and effectively. (2 points)

  • We spend $300+ per month on various AI seats/tools across the team, but overall active adoption is under 30%. (3 points)

Q3: Think of the top operational bottleneck you want to solve. Where are you stuck?

• • I’m not sure exactly which workflows can or should be automated yet. (1 point)

  • I know what I want to automate and have the technical know-how to configure the tools myself. (2 points)

  • I can name the exact manual workflow I want to fix, but I don't know which tool to pick, how to configure it securely, or how to integrate it with our existing software stack. (3 points)

Q4: What has been your experience with "Do-It-Yourself" AI experimentation so far?

• • We haven't really tried using generative AI for business-critical tasks yet. (1 point)

  • We built a few basic prompts or workflows ourselves, and they work perfectly. (2 points)

  • We tried using AI for core workflows, but the output quality was poor, inconsistent, or hallucinated. We can't tell if the issue is the AI model, our prompts, or the use case itself. (3 points)

Q5: Does the workflow you want to automate involve high-stakes elements like sensitive client data, strict regulatory compliance/legal reviews, or direct, unmonitored communication with customers?

• • No, the tasks we want to automate are entirely low-stakes, internal administrative tasks. (1 point)

  • Somewhat, but we plan to have a human review every single word manually anyway. (2 points)

  • Yes, the stakes are high. Errors, data leaks, or compliance slip-ups could harm our brand reputation or violate client trust, meaning we need expert setup. (3 points)

Your AI Infrastructure (Readiness Questions)

These questions evaluate whether the business is operationally ready to succeed in a 10,000–15,000 implementation sprint. Total possible points: 15.

Q6: Think about the manual processes you want to automate with AI. How consistent are they right now?

• • Highly chaotic. The workflow changes week-to-week or depends entirely on which employee is handling it. (1 point)

  • Mostly consistent, but the steps live entirely "in people's heads" rather than written down anywhere. (2 points)

  • Highly structured. They are repeated manual tasks with clear, step-by-step documented processes or standard operating procedures (SOPs). (3 points)

Q7: What is your team's current hands-on relationship with AI tools?

• • We are simply asking "should we use AI?" and haven't actually tested anything internally yet. (1 point)

  • A few people use it occasionally for basic writing, but no one is testing it on core business workflows. (2 points)

  • We have already run a small trial workflow with AI for at least a week to look at real data, or we have an internal "AI Champion" dedicated to testing tools like ChatGPT or Claude. (3 points)

Q8: Reviewing your financials, do you have the revenue foundation and dedicated budget to support an outside strategic partner?

• • Our annual revenue is under $300k, and we do not have a budget allocated for outside consulting. (1 points)

  • Our revenue is over $300k, but we only have a budget of under $2,000 for software and setup. (2 points)

  • Our annual revenue is $300k+, and we have a realistic budget of $5,000 to $15,000 to invest in a custom, fully integrated AI deployment sprint that generates permanent ROI. (3 points)

Q9: (Data & Governance) How organized and digitized is the information required to power your ideal AI workflow?

• • Scattered, unorganized, or locked away in physical paperwork and mismatched personal local drives. (1 point)

  • Digitized but messy. We have the data (emails, PDFs, spreadsheets), but it lacks centralized organization, and we don't have clear security controls for it. (2 points)

  • Fully digitized and centralized. Our files and data pools are clean, structured, and we can control who has access to specific folders. (3 points)

Q10: (Team & Execution) How would you describe your team's openness to changing their daily tech habits and learning new automated software systems?

• • Resistant to change. The team struggles to adopt new software updates and prefers traditional, manual methods. (1 point)

  • They are open to it, but they are completely overwhelmed with daily work and lack the time to execute a rollout or test new systems. (2 points)

  • Tech-literate, enthusiastic about automation, and fully capable of maintaining a new system once an outside expert handles the heavy lifting and training. (3 points)

Scoring and Results

Use this matrix to assess your scores. Following that is some recommendations based on results. Contact me through email for questions or a free 15 min call on the topic.

NEED BRACKETS (From Part A)

5 to 8 Points: LOW NEED. Free resources, basic ChatGPT templates, or simple DIY tools are more than enough right now.

9 to 12 Points: MEDIUM NEED. Some clear operational bottlenecks exist. AI could help, but workflows need to be isolated.

13 to 15 Points: HIGH NEED. Meeting multiple core stress signals. Losing massive time or wasting money; outside expert consulting is highly justified.

READINESS BRACKETS (From Part B)

5 to 8 Points: LOW READINESS. Operations are too chaotic or revenue/budget alignment is missing. Automating now will result in "automated chaos."

9 to 12 Points: MEDIUM READINESS. Great potential, but missing a few key pillars (e.g., processes need documentation or data needs cleanup before an AI can use it).

12 to 15 Points: HIGH READINESS. Structurally prepared. Has the necessary revenue, clean data potential, an open-minded team, and documented habits required for a successful sprint.

Profile 1: High Need & High Readiness ("The Green Light Profile")

The Blueprint: You are in the absolute sweet spot for a custom AI integration. Your business is losing vital hours to repetitive tasks and struggling with the workflow-to-tool gap, yet you possess the structural foundation—clear processes, revenue stability, and team willingness—to ensure a high ROI. Proceeding with a custom 10k–15k implementation sprint will instantly buy back your team's time and scale your throughput without expanding your headcount. Next Step: Do not spend months on frustrating DIY trial and error. Let’s map out your custom automated ecosystem. Connect with me to an AI Strategy Session to review your answers and build your implementation roadmap.

Profile 2: High Need but Low/Medium Readiness ("The Bottleneck Profile")

The Blueprint: Your business desperately needs the time-saving benefits of AI, but your internal infrastructure isn't quite ready to sustain it yet. If we build advanced AI tools on top of unstructured data or inconsistent processes, the software will fail, and your team will abandon it. You need to standardize your manual workflows and organize your data before spending money on custom builds. Next Step: Let’s protect your investment. We need to audit your workflows so you can transition to "AI-Ready." Connect with me to book an Operational Alignment Session where we will build the exact checklist you need to fulfill before deploying automation.

Profile 3: Low/Medium Need but High Readiness ("The Optimization Enthusiast")

The Blueprint: Your operations are beautifully organized, clean, and financially sound! However, you don't currently have a massive structural bottleneck or software leak that justifies a high-ticket custom consulting engagement. Bringing in outside developers right now might mean "looking for a problem to solve." Next Step: Keep doing what you're doing. You are perfectly set up to utilize simple DIY tools or native platform automations (like Zapier or built-in CRM automations) internally. If you want a quick review of your tech stack to ensure you aren't missing hidden opportunities, schedule a quick intro call with me.

Profile 4: Low Need & Low Readiness ("The Foundation Builder")

The Blueprint: Your business is likely in the early stages of growth or shifting its operational model. You do not currently face massive time drains that justify AI consulting, and your processes are not yet standardized enough to automate. Focus your energy right now on tracking your time, writing down standard operating procedures (SOPs), and driving baseline revenue. Next Step: Don't get distracted by expensive AI hype. Focus on building a strong operational foundation. Once you find your team spending 15+ hours a week repeating the exact same tasks, revisit this form!