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AI-powered Corporate Venture Building

How can you use AI-powered validation and insights to build, incubate and launch new products, businesses and services? Read more about rapid de-risking with AI!

What is corporate venture building?

To capitalize on emerging trends and moving markets, businesses need to act with agility, adaptability and foresight.

AI-powered venture building allows you to go from concept to reality by chasing down risk while iteratively making new products, services and businesses real. 

How does AI-powered venture building work?

1. Increasing successful market launches

Market launches that bring increased customer satisfaction – with engaging experiences, validated features and stress-tested business models – leading to scalable new ventures that can be ‘spun in’ to the business or ‘spun out’ as standalone ventures.

2. Faster time to market

Launches that take months not years – by working in agile sprints that are constantly prioritized and reprioritized, with iterative releases rather than a ‘big launch’ – in teams that learn to work in new ways to maximize speed without compromising quality.

3. Continuous de-risking

Continuous testing with customers based on low fidelity and high-fidelity functional prototypes – using experiments based on testing the most critical assumptions at any point in time – helping to minimize risk and prioritize investment on features that are proven to show the most customer and business value.

What are the main challenges of corporate venture building?

How can we define the value and business case of our idea?

It’s easy to fall in love with a new idea, but much harder to find the way to derive the most value from it.

Therefore, it’s crucial to define business value inherent in new ventures – and work closely with internal and external experts to identify the best way forward.

How can we decrease the time-to-market?

With complex groups of stakeholders and multiple sources of complexity, new ventures can all too easily get slowed down.

Working in small, iterative teams (or teams of teams) can reduce complexity and increase velocity.

How can I ensure my MVP is well scoped?​

Too often, new launches are overloaded with too many features that aren’t prioritized effectively.

The way forwards is to find out what is most important for the customer and the business—increasing time to market and quality through streamlined roadmaps.

What are the main challenges of corporate venture building?

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Harnessing AI for next-gen corporate ventures

How to build, incubate and launch new products, businesses and services—rapidly de-risking with AI-powered validation and insights.

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Real-world examples of corporate venture building

Creating two blockchain ventures with ING focused on making global commodity trade faster, safer and cost efficient

Expanding Loop’s product portfolio to build a quieter world

Partnering with a major global fashion retailer to transform product development with AI, increasing speed and reducing waste

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Laura Stevens

Laura Stevens

Helping organizations define their AI mission and drive strategic transformation. Focusing on balancing speed with long-term AI resilience, integrating people into AI adoption, and ensuring investments create both business value and human impact.