AI is like the incoming tide, advancing on the SaaS sandcastle you’ve built on the beach.

Now’s the time, if you haven’t already, to consider what a post-SaaS business looks like, removing the UI and just giving your customers the answers to their questions.

Glean provides a horizontal AI platform for your employees - providing centralised access to knowledge, data and processes across all of your enterprise systems.

In this article I take a look at the platform and when how you can determine if its valuable for your organisation.

The finance team is one of the slowest adopters of AI in many organisations.

In a recent webinar the Financial Controller at OpenAI walked through specific examples of how their team are using AI to accelerate and improve their work.

ICONIQ Capital's State of AI 2024 report has just dropped with insights around AI budgets, ROI, key use cases, model adoption and function use cases.

Read my summary and get access to the full report here.

NBCUniversal developed an AI powered Olympic Daily Recap featuring personalised clips and an AI synthesised commentary.

It provides a great example of using the knowledge and data you have access to to create new and improved value propositions for your customers.

Join this free 15 day email course helping non-technical CxOs understand the implications of AI for their businesses.

You'll learn about AI without getting bogged down in technical jargon - focusing on what to do, how to hire, and how to set your business up for the AI future.

AI is a multi-model world where companies will use multiple models across different use cases.

This differs from SaaS where you picked one platform for each use case.

Here's a simple image I use to differentiate the two concepts.

As CEOs seek to define their AI strategy they are increasingly looking to outside help to support them.

In this article I explore the role of a Chief AI Officer, why a fractional CAIO can bring diverse perspectives an internal hire would miss, and how to start measuring the success of your AI strategy.

As more of use rely on LLMs to complement our daily work - do we risk becoming 'average' as the results we receive all rely on the same few foundation models?

In this article I suggest that while AI is a helpful tool to level all of us up, it is human creativity that will be required to push into knowing what we don't know and providing solutions.

AI will change the structure of a business from the typical bottom heavy pyramid, to a more middle-heavy diamond.

CxO's then have a choice about whether to claim those efficiencies as higher margin, or redeploy them to grow faster.

AI is only valuable when you connect it to your core business processes. In four images I’ll walk you through how to think about creating business value with AI in your organisation.

AI usecases appear across your organisation and this graphic will help you think through which of your senior executives are aligned to the most game-changing opportunities you have in front of you.

At the recent AI Summit the team from Holiday Extras won AI Implementor of the Year and walked us through their change management process. Here are the five problems they faced and how they approached them.

The revenue function is ripe for disruption and the CROs that take a longer term view will set their companies up for success in the new world.

In this article we walk through the four quadrants of Gartner’s AI Opportunity Radar looking at use cases that can provide game-changing returns.

AI is a top priority for CEOs as they seek to grow revenues, increase margins and minimise risks.

Learn how Gartner guides their clients through the AI Opportunity Radar and Use Case Prisms to find and prioritise high value AI use cases.