• Class 7: AI for Real-Time Financial Oversight:Moving beyond static spreadsheets to automated bookkeeping, real-time expense tracking, and AI-categorization of transactions.
  
  • Project:“The Smart Audit” Use an AI-powered expense tool to scan receipts and automatically categorize a month of business transactions.
• Class 8: AI for Predictive Budgeting & Forecasting: Using machine learning to move from “historical” reporting to “predictive” planning based on market trends and internal data.
  
  • Project: Build a 12-month cash flow forecast using an AI financial modeling tool (e.g., Jirav or Finmark) to identify potential dry spells.
• Class 9: AI for Intelligent Accounts Receivable & Invoicing: Automating the “chase” for payments with smart reminders and using AI to predict which clients are likely to pay late.
  
  • Project: Set up an automated AI-driven dunning sequence (smart reminders) for a mock list of overdue accounts to improve collection speed.
• Class 10: AI for Fraud Detection & Risk Management: Implementing AI patterns to recognize anomalies in transactions, prevent cyber-fraud, and assess the risk of new business investments.
  
  • Project: Conduct a “Risk Simulation” Use an AI tool to analyze a dataset for anomalies or duplicate invoices that would typically go unnoticed.
• Class 11: AI for Tax Optimization & Compliance:Leveraging AI to stay updated on changing tax laws, identify missing deductions, and ensure regulatory compliance without manual research.
  
  • Project:Use an AI tax-assistant to scan business expenses and flag at least 5 potential tax-deductible items specific to your industry.
• Class 12: The AI-Driven CFO Strategy: Shifting the role of finance from “number cruncher” to “strategic advisor” by using AI to guide major investment decisions and growth scaling.
  
  • Project: Create a “Capital Allocation Plan” for your business’s next quarter based on AI-generated insights regarding ROI and overhead trends.

• Class 13: AI for Smarter Hiring: Streamlining recruitment, screening candidates, and using AI to write unbiased, high-performance job descriptions.
  • Project: Use an AI-powered resume screening tool to evaluate and rank candidates for a hypothetical key position in your company.
• Class 14: AI for Automated Onboarding & Training: Creating personalized learning paths, generating onboarding handbooks, and using AI “Mentors” to answer new hire FAQs.
  • Project: Build an “AI Onboarding Assistant” (using a custom GPT or knowledge base) that answers 10 common questions for new employees.
• Class 15: AI for Boosting Employee Engagement: Using AI for sentiment analysis in internal communications, feedback loops, and creating a proactive, positive work environment.
  • Project: Research and present an AI tool (like Lattice or Culture Amp) that uses pulse surveys to predict and prevent employee burnout.
• Class 16: AI for Dynamic Performance Management: Tracking progress in real-time, setting automated goal reminders, and using AI to draft constructive, data-backed performance reviews.
  • Project: Develop a basic framework for using AI to summarize weekly employee check-ins into a monthly performance report.
• Class 17: AI for Workforce Planning & Retention: Using predictive analytics to identify turnover risks and automating the management of remote teams and freelancers.
  • Project: Use an AI tool to map out a “Skills Gap Analysis” for your current team to identify what roles you need to hire for next.
• Class 18: The Ethics of AI in People Management: Ensuring fairness, transparency, and data privacy while maintaining a human-centric culture in an automated workplace.
  • Project: Group discussion: Designing an “AI Code of Ethics” for your business to ensure AI tools don’t introduce bias into the promotion or hiring process.

Course Description: This course focuses on how AI can revolutionize your sales pipeline, automate high-touch outreach, and provide the predictive insights needed to close complex deals faster.

Classes:

• Class 19: AI-Powered Prospecting & Lead Scoring: Using AI to move past cold-calling by identifying “high-intent” leads and automatically ranking them based on their likelihood to buy.
  • Project: Use an AI prospecting tool (like Apollo.io or LinkedIn Sales Navigator) to generate a list of 20 “Ideal Customer” leads with verified data.
• Class 20: AI for Personalized Outreach at Scale: Crafting hyper-personalized emails and LinkedIn sequences that reference specific prospect news, triggers, and pain points automatically.
  
  • Project: Create a 3-step automated “smart-sequence” using an AI writing assistant that adapts the tone based on the prospect’s industry.
• Class 21: AI as a Negotiation Co-Pilot: Using AI to role-play objections, analyze transcripts for “buying signals,” and prepare “win-win” offer structures before the meeting.
  
  • Project: Run a “Negotiation Simulation” with a custom AI bot to practice overcoming your most common sales objection (e.g., “Your price is too high”).
• Class 22: Conversational Intelligence: Leveraging AI to record, transcribe, and analyze sales calls to identify why deals stall and what top-performers are saying differently.
  • Project: Use a tool (like Gong or Fireflies.ai) to transcribe a mock sales call and have the AI identify 3 “missed opportunities” in the conversation.
• Class 23: Predictive Sales Forecasting: Moving from “gut feelings” to data-driven revenue targets by using AI to analyze pipeline health and historical win rates.
  • Project: Build a “Deal Health Dashboard” that flags which current sales opportunities are at risk based on recent engagement patterns.
• Class 24: The Future of the AI Sales Force: Integrating “Digital Workers” into your CRM to handle admin tasks so you can focus 100% on building human relationships.
  • Project: Integrate AI agents to your CRM workflows.