AI Audit

As you reflect on the questions outlined, consider them not just as inquiries but as a pathway to uncovering the hidden efficiencies within your business. Each response is a stepping stone toward a comprehensive understanding of your operational landscape, revealing opportunities where AI can seamlessly integrate to enhance productivity, streamline processes, and drive innovation. This audit is more than an assessment; it’s an invitation to envision the transformative potential of technology tailored specifically to your unique challenges and aspirations, paving the way for a future where your business can truly thrive.

Purpose: Understand business model, scale, and owner priorities before diving into AI usage.

1. Can you describe your business and what you sell or provide?
2. How many employees or team members do you currently have?
3. What are your top three business goals for the next year?
4. What are the biggest challenges or bottlenecks in achieving those goals?
5. Are there any areas of your business you believe could benefit from automation or AI?

AI insight: Establishes baseline for recommendations — e.g., AI adoption in operations vs marketing, capacity constraints, ROI expectations.

Purpose: Map out systems, integrations, and data sources that determine where AI could integrate safely.

1. What key software or systems do you use today (Office 365, Google Workspace, accounting, CRM, ERP, project management, etc.)?
2. Do these systems communicate with each other, or do you re-enter data manually?
3. Are any of your workflows currently automated (e.g., through Zapier, n8n, or custom scripts)?
4. Do you maintain a central database or dashboard for key business information?
5. Who currently manages or supports your IT systems — in-house, external consultant, or self-managed?

AI insight: Identifies integration points, low-hanging automation opportunities, and whether technical capacity exists internally.

Purpose: Assess readiness for responsible AI adoption and data-driven decision making.

1. Where do you store customer or operational data (cloud, local, spreadsheets, software)?
2. Do you have policies for data privacy, access, and retention?
3. How is sensitive information (customer, financial, HR) protected today?
4. Do you track or back up data regularly?
5. Are you subject to any regulatory or industry compliance standards (PIPA, HIPAA, GDPR, etc.)?

AI insight: Helps classify data maturity level and risk exposure. Determines whether privacy or security gaps exist before introducing AI.

Purpose: Measure current adoption, usage awareness, and ROI of existing AI tools.

1. Are you or your team currently using any AI tools (e.g., ChatGPT, Copilot, Jasper, Midjourney)?
2. How often are these tools used — daily, weekly, or occasionally?
3. For what types of tasks are these tools being used (content creation, customer service, analytics, etc.)?
4. Have you noticed measurable improvements or issues from using these tools?
5. Are there any concerns about data security or accuracy when using AI tools?

AI insight: Establishes baseline maturity and perception of AI value; detects shadow-AI usage risks.

Purpose: Identify operational workflows that could benefit most from AI or automation.

1. What are the most repetitive or time-consuming tasks in your business?
2. Which processes are most prone to delays or human error?
3. Do you use standard operating procedures (SOPs) or documented workflows?
4. How do you track progress or measure productivity?
5. Where do you feel your team spends time on “low-value” work?

AI insight: Enables mapping of automation ROI by department (operations, admin, sales, etc.).

Purpose: Evaluate customer journey and marketing systems where AI personalization or analytics could help.

1. How do new customers typically find you (ads, referrals, website, social media, etc.)?
2. Do you collect customer feedback or reviews systematically?
3. Do you maintain an email list or CRM with client interaction history?
4. Are marketing activities tracked or measured (leads, conversion rates, etc.)?
5. Do you use any marketing automation or analytics tools?

AI insight: Identifies opportunities for AI-driven insights, predictive analytics, and content generation.

Purpose: Determine internal readiness for AI training and adoption.

1. How comfortable is your team with using new technologies or AI tools?
2. Have you provided any formal digital or AI training to staff?
3. Are there any roles in your company that you think could evolve with AI support?
4. Who is responsible for technology decisions in your organization?
5. How do you handle change management or training for new systems?

AI insight: Assesses change readiness and whether AI adoption will need training or coaching support.

Purpose: Ensure safe and compliant AI usage.

1. Do you have policies about employee use of AI tools or data sharing?
2. How do you verify the accuracy of AI-generated outputs before using them?
3. Are you concerned about intellectual property, bias, or data leakage risks?
4. Do you have clients or regulators that restrict AI usage?
5. Would you prefer AI systems to run fully in-house, or are you comfortable with cloud-based solutions?

AI insight: Informs whether to recommend private models, data governance improvements, or internal compliance training.

Purpose: Transition from audit → roadmap creation.

1. If AI could take over 3 tasks tomorrow, which would you choose?
2. What kind of information or reports would help you make better decisions?
3. Are there customer experiences or internal communications you’d like to improve?
4. Are there services you’ve considered offering but can’t due to time or staffing limits?
5. What’s your appetite for experimenting with AI over the next 6–12 months (low, medium, high)?

AI insight: Used to prioritize the AI roadmap and quantify potential ROI areas.