Podcast Summary: Can Artificial Intelligence Give You More Capacity with Adriana Torres
Podcast: Artificial Intelligence Podcast: ChatGPT, Claude, Midjourney and all other AI Tools
Host: Jonathan Green
Guest: Adriana Torres (Process Revention, Business/AI Consultant)
Date: June 23, 2025
Main Theme & Purpose
This episode takes a practical, hands-on approach to exploring how artificial intelligence (AI) can expand organizational and individual capacity—the ability to do more, better, with fewer resources. Host Jonathan Green and process expert Adriana Torres break down what “capacity” actually means in a business context, the foundational role of processes, and how strategically integrating AI tools can unlock greater efficiency—not just at scale, but starting from the ground up.
Key Discussion Points & Insights
1. Defining "Capacity" in Business & Personal Life
[00:32-02:57]
- Capacity is often misunderstood as something to be acquired externally, but it truly refers to how well internal resources are optimized.
- Adriana: “To me, capacity is the ability to optimize and better use your resources… It’s not only about business, it’s also personally—creating that capacity for ourselves to live our purpose, to feel like a more enjoyable kind of life.” (01:47)
2. Efficiency vs. Process: The Hidden Pitfall
[02:57-04:43]
- Jonathan warns against over-prioritizing efficiency without clarity. Many jump to AI tools or new systems thinking they'll be a silver bullet, but forget the learning curve and sacrifice effectiveness.
- Key point: You can't accelerate a process you haven't defined.
- Jonathan: “You have to build a process and then accelerate. You have to build a car before you build a faster car.” (04:13)
3. How to Build Effective Processes
[04:43-11:51]
- Intentional process design is critical, especially for entrepreneurs starting to delegate.
- Steps to building a process:
- Start by recording/documenting the task as you do it.
- Reflect on what each step achieves.
- Remove inefficiencies identified during self-review.
- Adriana: “You cannot just wait until you’re ready to create the most perfect process ever. That’s never going to happen. Start where you are, answer—why are we doing this? What is the purpose? How do we get to the result?” (05:07)
- The importance of cross-training and avoiding “single points of failure.”
- Tools like value stream mapping can visualize and highlight bottlenecks and opportunities for automation.
4. Purpose over Process: Knowing What Really Matters
[11:51-17:55]
- Break down creative work into batches (research, planning, writing) to maximize focus.
- AI is effective at speeding up specific bottlenecks, not entire workflows at once.
- Jonathan: “You can’t get people to do three actions… Maximum of one. So focus on that.” (13:56)
- Every process should tie back to a clear customer need: “Voice of the customer” is critical before designing or automating any workflow.
5. Integrating AI: Best Practices and Cautions
[17:55-24:31]
- Adriana reflects on the evolution of AI—from primitive robotics to today’s robust, information-centric generative models.
- AI can help:
- Shorten diagnosis times in medicine
- Optimize marketing, branding, customer experience
- Accelerate creative and repetitive tasks
- BUT: Be wary of “efficiency for efficiency’s sake.”
- “We can be very efficient at being inefficient, if that makes sense.” (23:31)
- You must continuously check that AI outputs align with your actual business goals—“Garbage in, garbage out” still applies.
6. AI Usefulness: The Problem Must Come First
[24:31-25:40]
- Many startups and businesses fail when implementing AI for the novelty or “coolness,” not for real usefulness.
- Jonathan: “Most use cases I see with AI are clever, but not useful… Usefulness is: does this help me in a meaningful way?” (24:54)
- Plan your process and understand the problem before introducing AI tools.
Notable Quotes & Memorable Moments
-
Adriana Torres:
- “Capacity is the ability to optimize and better use your resources. It’s personal—your time, your energy, your money…” (01:47)
- “People think making improvement to a process is ‘let’s start from scratch!’ Not so much. Start small; even the small modular tweaks matter.” (10:12)
- “We can be efficient at being inefficient. So you have to ask: are you really adding value?” (23:31)
-
Jonathan Green:
- “You have to build a car before you build a faster car… If you don’t have the goal, then a person can’t self-assess.” (04:13, 07:20)
- “No one has ever liked a podcast episode so much they’ve done seven things… Maximum one. Focus on the goal.” (13:56)
- “Most examples I see are clever. Yes, that’s cool, but I’ll never use it… Usefulness is does this help me in a meaningful way?” (24:46)
Important Timestamps
- 00:30-02:57 – Defining “capacity” and moving beyond external solutions.
- 04:13-06:47 – Why processes matter; the common error of skipping foundational steps.
- 09:17-11:51 – How to self-reflect and document your own workflows.
- 11:51-13:56 – Batch processing for creative and strategic efficiency.
- 17:55-19:53 – Process design starts with customer needs (“voice of customer”).
- 19:53-24:31 – How AI fits into process improvement and what it can (and can’t) do.
- 23:31 – “Efficient at being inefficient”—the ultimate caution.
- 24:31-25:40 – Distinguishing between “cool” AI tools and useful applications.
Resources & Further Connections
- Adriana’s Contact:
- Email: themailingide@gmail.com
- LinkedIn: [Adriana C. Torres at Process Invention]
- Facebook & Instagram: [Process Invention]
- Upcoming workshop on capacity launching May (check LinkedIn for details).
Episode Takeaways
- True capacity begins with clearly defined processes designed around real needs—not just efficiency for its own sake.
- Before adopting AI, map out goals, tasks, and bottlenecks—the “secret sauce” is understanding where AI truly adds value.
- Good processes are modular, documented, and always tied back to the customer’s real problems.
- AI can help you work smarter, but only when you know what and why you want to automate or optimize.
