WORKING PAPER

The Three-Pillar Framework to Implement AI on Large Enterprises

Designed for the enterprise, New Markets Advisors provides a structured framework to balance immediate AI productivity wins with the long-term capture of new markets

AI-ify the Present: Apply AI to existing operations while staying centered on customer Jobs and 360-degree system design

Become Great at Experimentation: Build organizational capabilities through disciplined, low-cost exoerments to craete ownable options and open up possibilities

Create the future: Deploy strategic foresight and escenario planning to adapt your value proposition and capture new markets int he AI age

OVERVIEW

Why companies need a structured approach to implement AI

Enterprises struggle with disruption. Their records of dealing with major disruptive technologies – such as the advent of the web, smartphone, and cloud – are generally not encouraging. Responses are often too narrow, reactive, and late. In our team’s close collaborations with the late Harvard Business School Professor Clayton Christensen and since, we’ve seen a relatively small number of enterprises rise to the challenge and capture the upside of upheaval. It isn’t easy, but a playbook does exist.

AI promises at least as much disruption as those other technologies. It carries innumerable dangers: poor quality outputs, employee alienation, new forms of competition, regulatory crackdown, and many more. But it also offers tremendous promise, such as through hyper-tailored offerings, lightning-fast responsiveness, and step-changes in costs. In our work with AI for over a decade, we’ve seen organizations reap these bounties. This playbook provides a close look at how to handle the disruption, drawing on lessons and case studies of organizations small and giant alike.

The ABC Framework: AI-ify the present, Become great at experimentation, and Create the future

This paper addresses these questions. It lays out three routes to take, and you need to take all three. You also must pursue all of them at once. Unlike with other initiatives, you won’t be able to work over distinct time horizons with different levels of urgency, because the industry’s rate of change won’t allow you that luxury. You’ll need to move at the speed of the market. We’ll show you how and give you examples.

AI-ify the Present: Improve productivity by applying AI to the way you work today

Become Great at Experimentation: Find new and better ways to use AI through bottoms-up initiatives

Create the Future: Determine how AI can fundamentally change what you do

01

AI-ify The Present: Focus on Jobs to be Done and Deploy 360-Degree Systems Thinking

02

Become Great at Experimentation: Create Optionality and Open Up Opportunities

03

Create the Future: Capture New Markets in the AI Age

04

Microsoft Aplying The ABC Framework

AI-ify The Present: Focus on Jobs to be Done and Deploy 360-Degree Systems Thinking

Much of the current writing about AI deployment in enterprises focuses on productivity enhancement. McKinsey has estimated that the potential worldwide economic gain from AI-based productivity is $2.6 - $4.4 trillion across 63 examined use cases. 75% of McKinsey’s estimate lies in four areas: customer operations, marketing and sales, software engineering, and R&D. These are huge numbers, and they warrant immediate investigation. If you aren’t pursuing these productivity gains, your competitors are.

The graveyard of failed IT initiatives is vast, but there are two key ways to avoid that fate here:

Focus on Jobs to be Done

Start with understanding the full set of Jobs that your users are trying to get done. We advocate combining Jobs with elements such as journey maps to create a holistic view. SOCi’s rapid ascent as a SaaS platform demonstrates that user empathy is the foundation of any effective tech system. Design professionals use the Jobs to be Done approach to ensure the focus remains on fundamental motivations rather than just system features.

By concentrating on Jobs to be Done before features, you create full solutions for the right problems and avoid investing in offerings that won’t get used. We have one of the leading books on this topic as well as an extensive eBook on applications of these methods to tech.

Deploy 360-Degree Systems Thinking

Look at all the stakeholders who have to be aligned for new solutions to work. What risks or adoption obstacles might each perceive? Who should your foothold users be to generate broader “pull” for AI systems rather than rely on organizational “push”? While these issues should be true for any tech system, they’re even more critical for AI given the need to think broadly about where data will come from, how it will be used, and how feedback learning will occur.

Download to explore deeper

01

AI-ify The Present: Focus on Jobs to be Done and Deploy 360-Degree Systems Thinking

02

Become Great at Experimentation: Create Optionality and Open Up Opportunities

04

Microsoft Aplying The ABC Framework

AI-ify The Present: Focus on Jobs to be Done and Deploy 360-Degree Systems Thinking

Much of the current writing about AI deployment in enterprises focuses on productivity enhancement. McKinsey has estimated that the potential worldwide economic gain from AI-based productivity is $2.6 - $4.4 trillion across 63 examined use cases. 75% of McKinsey’s estimate lies in four areas: customer operations, marketing and sales, software engineering, and R&D. These are huge numbers, and they warrant immediate investigation. If you aren’t pursuing these productivity gains, your competitors are.

The graveyard of failed IT initiatives is vast, but there are two key ways to avoid that fate here:

Focus on Jobs to be Done

Start with understanding the full set of Jobs that your users are trying to get done. We advocate combining Jobs with elements such as journey maps to create a holistic view. SOCi’s rapid ascent as a SaaS platform demonstrates that user empathy is the foundation of any effective tech system. Design professionals use the Jobs to be Done approach to ensure the focus remains on fundamental motivations rather than just system features.

By concentrating on Jobs to be Done before features, you create full solutions for the right problems and avoid investing in offerings that won’t get used. We have one of the leading books on this topic as well as an extensive eBook on applications of these methods to tech.

Deploy 360-Degree Systems Thinking

Look at all the stakeholders who have to be aligned for new solutions to work. What risks or adoption obstacles might each perceive? Who should your foothold users be to generate broader “pull” for AI systems rather than rely on organizational “push”? While these issues should be true for any tech system, they’re even more critical for AI given the need to think broadly about where data will come from, how it will be used, and how feedback learning will occur.

Download to explore deeper

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Download This Working Paper Now

WORKING PAPER

The Three-Pillar Framework to Implement AI on Large Enterprises

By Stephen Wunker

AI-ify the Present: Apply AI to existing operations while staying centered on customer Jobs and 360-degree system design

Become Great at Experimentation: Build organizational capabilities through disciplined, low-cost exoerments to craete ownable options and open up possibilities

Create the future: Deploy strategic foresight and escenario planning to adapt your value proposition and capture new markets int he AI age

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New Markets Advisors © 2025 

Our Offices

50 Franklin St

2nd Floor

Boston, MA 02110

USA

151 San Francisco St

Suite 200

San Juan, PR 00901 Puerto Rico

Rua Antónia Andrade 4

3 Direito

1170-025 Lisboa

Portugal

Privacy Policy

Terms of Service

New Markets Advisors © 2025 

Privacy Policy

Terms of Service

New Markets Advisors © 2025 

Our Offices

50 Franklin St

2nd Floor

Boston, MA 02110 USA

151 San Francisco St

Suite 200

San Juan, PR 00901 Puerto Rico

Rua Antónia Andrade 4

3 Direito

1170-025 Lisboa

Portugal

Get In Touch

+1 617 936 4035

info@newmarketsadvisors.com

Our Offices

50 Franklin St

2nd Floor

Boston, MA 02110

USA

151 San Francisco St

Suite 200

San Juan, PR 00901 Puerto Rico

Rua Antónia Andrade 4

3 Direito

1170-025 Lisboa

Portugal

Privacy Policy

Terms of Service

New Markets Advisors © 2025