SCALING GENERATIVE AI�WITH AI READY
NOVEMBER 7, 2024
Agenda
8
THE PROBLEM
The Problem – Siloed Perspectives
10
SECURITY
IT
C-SUITE
BUSINESS
Another Problem – Forgetting The Basics
11
Proof of Concept
Implementation Project
THE APPROACH
Back To Basics
13
PEOPLE
TECHNOLOGY
PROCESS
BUSINESS
READINESS
Defining Gen AI Readiness
14
PEOPLE
TECHNOLOGY
PROCESS
BUSINESS
READINESS
WORKFORCE
TECHNOLOGY
GOVERNANCE
GEN AI
READINESS
AI IS A COMPLEX ISSUE
LEGAL, COMPLIANCE, IP, ETHICS, STRATEGY
MOST ORGS SUCK AT DATA VENDORS RUSHING FOR $’s (AI WASHING)
The Gen AI Organizational Readiness Model
15
PROCESS
TECH
PEOPLE
Scope & Complexity
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Type of AI Project | Description | Change Management Complexity | Project Risks |
Proof of Concept (Experiments) | PoC projects in AI are experimental endeavors exploring the potential of GenAI technologies. Typically, these are small-scale projects validating the feasibility and effectiveness of AI solutions in a controlled environment. | Limited in scope and impact, focusing on learning about AI capabilities. Lower readiness requirements but foundational. | Risks include underestimating resources needed, overestimating technology capabilities, and lack of integration with existing systems. |
Quick Wins (Employee Tasks) | Implementation of GenAI solutions to enhance specific employee tasks, like using ChatGPT for draft copywriting. Aims to streamline workflows and increase efficiency in targeted areas. | Requires focused training and user adoption as they directly affect daily tasks of employees. | Risks involve resistance to change, integration challenges with existing systems, and disruptions during transition. |
Changes (Single Department Processes) | Implementing GenAI to transform processes within a single department, like deploying chatbots in customer service. Aims to enhance departmental efficiency and effectiveness. | Significantly alters workflows, requiring substantial training and adaptation from the department. | Risks include resistance from employees, disruptions to operations, and continuous adjustments for AI evolution. |
Cross-Functional (Multi-Department Processes) | Broader scope projects impacting end-to-end processes across multiple departments, like AI-driven supply chain optimization. | Demands comprehensive change management encompassing multiple departments with varied needs. | Risks include misalignment between departments, complex integration issues, and potential for large-scale operational disruptions. |
Transformational (New Business) | Projects that create new lines of business or capabilities, like entering music production in a book publishing business. | Requires a fundamental rethinking of business models, extensive training, and potentially a cultural shift within the organization. | Risks are substantial, including strategic misalignment, significant financial investment with uncertain returns, and managing extensive change. |
LET’S TRY IT
APPLYING THE MODEL (ONE OR MANY)
18
List Your Initiatives (Or a Single One)
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Type of AI Project | Description | Change Management Complexity | Project Risks |
Proof of Concept (Experiments) | PoC projects in AI are experimental endeavors exploring the potential of GenAI technologies. Typically, these are small-scale projects validating the feasibility and effectiveness of AI solutions in a controlled environment. | Limited in scope and impact, focusing on learning about AI capabilities. Lower readiness requirements but foundational. | Risks include underestimating resources needed, overestimating technology capabilities, and lack of integration with existing systems. |
Quick Wins (Employee Tasks) | Implementation of GenAI solutions to enhance specific employee tasks, like using ChatGPT for draft copywriting. Aims to streamline workflows and increase efficiency in targeted areas. | Requires focused training and user adoption as they directly affect daily tasks of employees. | Risks involve resistance to change, integration challenges with existing systems, and disruptions during transition. |
Changes (Single Department Processes) | Implementing GenAI to transform processes within a single department, like deploying chatbots in customer service. Aims to enhance departmental efficiency and effectiveness. | Significantly alters workflows, requiring substantial training and adaptation from the department. | Risks include resistance from employees, disruptions to operations, and continuous adjustments for AI evolution. |
Cross-Functional (Multi-Department Processes) | Broader scope projects impacting end-to-end processes across multiple departments, like AI-driven supply chain optimization. | Demands comprehensive change management encompassing multiple departments with varied needs. | Risks include misalignment between departments, complex integration issues, and potential for large-scale operational disruptions. |
Transformational (New Business) | Projects that create new lines of business or capabilities, like entering music production in a book publishing business. | Requires a fundamental rethinking of business models, extensive training, and potentially a cultural shift within the organization. | Risks are substantial, including strategic misalignment, significant financial investment with uncertain returns, and managing extensive change. |
Apply The Model Yourself
20
PROCESS
TECH
PEOPLE
Now Let’s Chat
21
PROCESS
TECH
PEOPLE
Amazon.com - Just search “AI Ready”
𝗧𝗼 𝗺𝗮𝘅𝗶𝗺𝗶𝘇𝗲 GPT 𝘃𝗮𝗹𝘂𝗲:
1. Read "AI Ready" first to familiarize yourself with the terminology and concepts
2. Sign up for a free ChatGPT account if you haven't already
3. Go to Explore GPTs and search for "AI Ready Tony"
4. When using the GPT, reference the book by saying "according to the book" in your prompts to get the most targeted results
THANK YOU!
NOVEMBER 7, 2024