Unlock the Potential of Customized GPTs for Your Business and Industry Leadership

This is the second part of a four part series. Make sure to read Part 1 of Lead the AI Licensing Revolution with your Own Customized GPTs if you missed it.

Continuing on...

A company's AI strategy is limited first and foremost by a company's decision making model.

In fact, based on the research by McKinsey (2019), key findings on decision-making are particularly informative in the Age of Acceleration in which we now live.

Key Findings:

1. Low Excellence in Decision Making: Only 20% of organizations are considered excellent at decision-making. (I found this quite shocking actually.)

2. Time Inefficiency: A majority report that decision-making consumes much of their time, largely ineffectively. (That makes sense if there isn't a specific model(s) being used.

3. Speed vs. Quality: Faster decisions often equate to higher quality, debunking the trade-off myth. (I've always said that the enemy of doing something now is "overthinking".)

4. Winning Organizations: Those excelling in decision-making (20% of respondents) also report better financial outcomes, making good decisions quickly and executing rapidly. (This is ultimately why we created our $100M AI Board of Advisor to nail the trifecta of winning organizational attributes.)

What Winners Do Differently:

1. Make Decisions at the Right Level: Decisions made at the right organizational level tend to be quicker and of higher quality. Organizations with fewer reporting layers do better.

2. Focus on Enterprise-Level Value: Aligning decisions with corporate strategy and focusing on high-value projects is key.

3. Commitment from Stakeholders: Effective execution is linked to stakeholder commitment, especially from those accountable for the decision.

Specific to Decision Types:

• Big Bets: Success hinges on the quality of discussion and debate.

• Cross-Cutting: Success comes from focusing on process efficiency and stakeholder coordination.

• Delegated Decisions: Empowerment and space for safe failure are crucial.

Recommendations for Improvement:

• Differentiate strategies for different decision types.

• Understand and address the root causes of decision-making pitfalls.

• Simultaneously pursue quality and speed in decision-making.

By focusing on these strategies, organizations can improve decision-making efficiency and effectiveness, leading to better overall performance.

Creating the $100M AI Board of Advisors

As part of your journey into leveraging AI, creating a tool like the $100M AI Board of Advisors can be a game-changer.

Here is what we recommend you consider and here is what we did for each of these five key variables in the creation of your own customized GPT.

1. Identify the Purpose: Clearly defined the role and expected outcomes from our AI Board of Advisors. This clarity drives the customization and functionality of the tool.

2. Gather Data: Compile all necessary data, insights, and expertise that reflect the scope and depth of your business and industry. This compilation forms the basis of the board's knowledge.

3. Craft the Knowledge Set: Use the gathered data to create a comprehensive knowledge set. This acts as the core of our AI Board of Advisors, informing its advice and decisions.

4. Define Interactions: We articulated how we want the AI to interact with the problems we present. This includes details such as the advice format, decision-making scope, and communication tone to ensure it meets your business needs.

NOTE: In a previous article I describe the three pronged approach we used to guide the the $100M AI Board of Advisors GPT to think through problems to also showcase how AI thinks inside what experts refer to as AI's "black box" of neural pathways.

It really is super cool to watch AI (working as the chairperson of your Board of Advisors) think through each problem with a customized action plan unique for your company.

5. Continuous Learning and Refinement: As your business and the external environment evolve, regularly update the knowledge base and refine the decision-making processes of your AI Board of Advisors. This ensures continued relevance and value. The reality is that our customized GPT becomes even smarter over time as it builds on it's experience in helping hundreds of our clients solve their most pressing problems.

Here is our 10 step process to assist you to build your own customized GPT. This is an overview.

Stay tuned for Part 3 of our four part series, Lead the AI Licensing Revolution with Your Own Customized GPTs).

This four part series is a component of our Licensing Blueprint: The Fast Track Guide to Profiting from Your IP in the Acceleration Age.

Watch AI Iterate through your most pressing business problems with a customized plan without having to pay millions in advisory fees with your Board of Advisors.