Podcasts
Keyhole SoftwareAugust 15, 2024 · Host: Zack Gardner

Gen AI in the enterprise - how companies are actually adopting generative AI

Amir Elion joins Zack Gardner on Keyhole Software's podcast to discuss how enterprises are adopting generative AI - from strategy and use case identification to building AI-powered products, Amazon's Working Backwards methodology, and the 30x30 challenge.

AI StrategyEnterprise AIInnovationAmazonBusiness ValueGenerative AI

Originally published on Keyhole Software

What you'll learn in this episode

In this conversation, Amir Elion, CEO of Think Big Leaders and former AWS Innovation Programs lead in the Nordics, sits down with Keyhole Software's Chief Architect Zack Gardner to explore how enterprises are actually adopting generative AI in 2024.

The discussion covers Amir's experience bringing Amazon's Working Backwards innovation methodology to Nordic companies like Volvo and KONE, and how he now helps organizations build practical AI strategies through Think Big Leaders. Based in Stockholm, Sweden, Amir brings a unique perspective that blends deep innovation methodology expertise with hands-on generative AI skills. These are topics Amir regularly speaks about at conferences and corporate events across Europe.

From Amazon to AI consulting

Amir shares his journey from leading AWS training in Israel to running the Innovation Programs for the Nordics in Stockholm, and how the Working Backwards methodology he taught to enterprise customers became the foundation for his approach to AI strategy consulting. The core insight: start with the customer problem, not the technology.

The three buckets of enterprise AI value

A central theme is Amir's framework for thinking about AI value creation. Rather than chasing every new model release, enterprises should categorize their AI initiatives into three buckets: boosting productivity (doing existing work faster), creating new value (AI-enhanced products and services), and driving disruption (rethinking entire business models). Each bucket requires a different strategy, investment level, and organizational approach. This framework is a core part of Amir's keynote presentations and workshops.

AI as innovation co-pilot

One of the most practical segments covers how Amir taught ChatGPT established innovation methodologies like SCAMPER, TRIZ, and Working Backwards, turning it into a scalable innovation facilitator. This approach lets organizations run innovation processes faster and challenge assumptions in ways that weren't possible before generative AI.

The 30x30 challenge and scaling with AI

The conversation closes with Amir's 30x30 challenge, building 30 AI applications in 30 days using no-code tools, demonstrating that the barrier to building AI-powered business tools has dropped dramatically. Applications were often built in under 30 minutes, proving that the real bottleneck isn't technical capability but strategic clarity about what to build and why.

Book Amir as a speaker

Amir regularly delivers keynotes and workshops on the topics covered in this episode, including enterprise AI strategy, Working Backwards innovation, and practical generative AI adoption. He speaks at conferences, corporate leadership offsites, and industry events across Sweden, the Nordics, and Europe. Learn more about Amir's speaking topics and availability.

Key Topics Discussed

Amazon's Working Backwards methodology

How Amazon's customer-obsessed innovation process works - starting with the customer problem, writing a fictional press release, and building backwards from the desired outcome. Amir led this program for AWS in the Nordics.

Enterprise AI strategy

How organizations should approach generative AI adoption - assessing maturity, identifying use cases, and building a strategic playbook before diving into technology.

Three buckets of AI value

Amir's framework for categorizing enterprise AI value: boosting internal productivity, creating new AI-enhanced products, and driving market disruption.

AI as innovation co-pilot

Using generative AI tools like ChatGPT to teach and scale innovation methodologies - from SCAMPER ideation to Working Backwards - making AI a collaborative partner in the innovation process.

Digital twins and AI cloning

The emerging world of voice and video cloning using tools like ElevenLabs and HeyGen, and what it means when AI avatars start attending meetings on our behalf.

The 30x30 challenge

Amir's public challenge to build 30 AI applications in 30 days using no-code and low-code tools - demonstrating the speed and accessibility of generative AI for real business use cases.

Sustainability and AI innovation in the Nordics

How companies in Stockholm and the Nordics are leveraging AI for sustainability-driven innovation, and why this region is uniquely positioned for responsible AI adoption.

Natural language as programming

The shift from traditional coding to English-as-programming-language - why developers and business leaders alike need to understand prompt engineering and AI interaction patterns.

Frequently Asked Questions

What is Amazon's Working Backwards methodology?
Working Backwards is Amazon's internal innovation process where teams start with the customer problem, not the technology, and write a fictional press release envisioning the ideal outcome. This customer-obsessed approach ensures innovation leads to products people actually want, and it scales across organizations of any size.
How should enterprises start their generative AI strategy?
Start by assessing where your organization is today - maturity level, industry context, and desired outcomes. Then identify specific use cases across three value buckets: internal productivity gains, new AI-enhanced products, and potential market disruption. Build a strategic playbook before investing in technology.
What are the three buckets of AI business value?
The three buckets are: (1) boosting internal productivity, using AI to do existing work faster, (2) creating new value by building AI-enhanced products and services, and (3) driving disruption by fundamentally rethinking business models and value chains with AI.
Can generative AI be used as an innovation co-pilot?
Yes. Amir Elion demonstrated that AI tools like ChatGPT can be taught established innovation methodologies like Working Backwards, SCAMPER, and TRIZ, and serve as collaborative partners in the innovation process, helping teams ideate, challenge assumptions, and scale creative work.
What is the 30x30 AI challenge?
The 30x30 challenge was Amir Elion's public experiment of building 30 AI-powered applications in 30 days using no-code and low-code tools. Applications ranged from a hotel branding tool to a voice-of-customer analyzer to a Working Backwards PR/FAQ generator, each built in under 30 minutes.
How are Nordic companies using AI for innovation?
Companies in Stockholm and the Nordics are uniquely positioned for AI adoption, combining strong sustainability focus with innovation culture. Amir works with Nordic enterprises like Volvo and KONE on AI strategy, and delivers courses on sustainability-driven innovation that leverage AI to accelerate and scale impact.
Is generative AI going to replace human workers?
Currently, generative AI is best understood as an augmentation tool - a co-pilot that enhances human capabilities rather than replacing them. While there is potential for full automation of certain tasks and rearrangement of value chains, the most effective enterprise approach keeps humans in the loop as strategic decision-makers.
What topics does Amir Elion speak about?
Amir Elion delivers keynotes and workshops on enterprise AI strategy, Amazon's Working Backwards innovation methodology, generative AI adoption, AI agents, and innovation culture. His talks blend real-world experience from Amazon and Nordic enterprises with practical frameworks that audiences can apply immediately.
Can I book Amir Elion as a speaker for my event?
Yes. Amir speaks at corporate events, conferences, and leadership offsites across Europe and internationally. His speaking topics include AI strategy for business leaders, innovation with generative AI, and the Working Backwards methodology. Visit amirelion.com to learn more and book a session.

About Amir Elion

Amir Elion is an AI strategist, innovation consultant, and keynote speaker based in Stockholm, Sweden. As CEO of Think Big Leaders, he helps Nordic and European enterprises develop practical AI strategies, run innovation workshops, and build AI-powered products. Previously, Amir led the AWS Innovation Programs in the Nordics, bringing Amazon's Working Backwards methodology to companies like Volvo and KONE. He combines 25+ years of innovation experience with hands-on generative AI expertise.