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Page de couverture de Episode 5: Process Automation & AI

Episode 5: Process Automation & AI

Episode 5: Process Automation & AI

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Hosts: Caitlin Ferguson (COOPilots.io) and Rob Ripp (Fintelligent, Author of Finance for Founders)
are a COO-CFO duo discussing supporting founders through growth challenges.

This episode covers:

The AI Payoff

  • Goal: Double revenue without increasing headcount through operating leverage
  • For every dollar of revenue, add less than a dollar in costs
  • Labor = 40%+ of professional services revenue - AI can dramatically reduce this

When to Automate (4 Criteria)

  1. Set rules: Repeatable with predictable steps
  2. Templatized: Existing framework used regularly
  3. Jam session: Comfortable iterating with AI, human in loop
  4. Room to play: Low stakes, internal-only

MIT Study Reality Check

  • 95% of AI initiatives not hitting P&L (no ROI)
  • 5% succeeding = backend operations only
  • Problem: AI tools not learning/adapting over time
  • Greatest gains outside client delivery (big opportunity gap)

Keystone Document Solution

  • AI like "entry-level intern" with no continuity between sessions
  • Create central doc (Keystone): how you communicate, frameworks, past successful work
  • Makes AI consistent across any tool
  • Example: Proposal generation 3-5 minutes vs. 1-2+ hours

Three Types of AI

  1. Embedded: Built into systems (QuickBooks AI creates monthly summaries)
  2. Generative: Creates content (blogs, SOPs) - training matters
  3. Agentic: Autonomous, full tasks without human (87% time savings possible)

Business Model Shift

  • Time & materials breaks with AI efficiency
  • If 10-hour task takes 1 hour with AI, can't charge hourly anymore
  • Must shift to fixed-price/value-based models

Critical Implementation

  • ChatGPT Teams minimum for data privacy (not used for training)
  • Weekly AI meetings: everyone brings solved problem
  • Junior staff often lead - they expect AI as standard
  • Start with: repetitive, low-hanging fruit, unenjoyable tasks

Watch Outs

  • IP concerns: Unclear how data managed in LLMs, market tools vs. in-house risk
  • Hallucinations: Makes up facts, adds incorrectly - always need human checkpoint
  • Copyright: No clear rules yet on AI-assisted work ownership
  • Companies building in-house AI fail 2x more often

The Bigger Picture

  • AI replaces productivity (not just augments like PCs/smartphones)
  • May see first billionaire solo company within generation
  • Enterprise worried about AI-enabled startups eroding share
  • Golden age for small businesses if played right
  • Knowledge ≠ execution - AI can't replace human judgment/trust yet

Notable Quotes

  • Rob: "Could you double revenue without increasing headcount? Yes, with AI."
  • Caitlin: "95% of AI initiatives aren't hitting P&L."

Resources:

1. Deploy AI to improve your business, free your time, gain margins. Keystone Workshop - dates available in Q4.

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