AI-powered chatbots elevate your customer’s experience from the early stages of identifying a problem to solve, through to being a happy repeat customer.

In this article you’ll think through the stages of the buying journey and how you can bring your best people’s knowledge and experience to life.

I had three lovely and valid conversations with developers this week who said they’d never trust AI to write their code.

It had me thinking about how I’d approach it in their situation, and here are my thoughts.

Here’s a 20 page guide to help you get started with using AI for work.

It includes some product suggestions, ways to think about the work that you do, and some of my learnings from writing effective prompts.

Here is the exact process I followed to go from idea to production app in under three hours.

I show you my exact playbook and link to my AI Development Guide so you can follow along.

There has never been a better time to start building your own tools and applications - even if you have no development experience.

In this free guide I walk you through the process of getting started and bringing your first proof of concept to life.

I’m launching a new series of 101 videos that give you a beginner’s guide to using ChatGPT, Claude and NotebookLM.

Ideal for a light business user that wants to learn more about how to use the tools and ensure you have the correct licence and security in place.

Grab this facilitator guide which will help you to run your own prompt hackathons in your company.

Give your people the inspiration and a safe space to learn and test their ideas, before watching AI tools like Claude and ChatGPT become dependable co-workers for your people.

ChatGPT Tasks just launched - and they allow you to schedule prompts to run in the future.

In this article I show you a couple of examples with a live video demo.

AI Inspiration Briefings are 60 minute live sessions designed to inspire and embed AI thinking in your business teams.

Using publicly available tools we’ll walk through live examples to push the boundaries of how your people use tools like ChatGPT and Claude in their daily work.

AI frameworks abstract you away from the underlying LLMs which can seem like a faster way to start building more complex AI workflows and agentic systems.

In this article I highlight what OpenAI and Anthropic recommend when it comes to considering your approach.

As more of my work focuses on helping companies adopt AI across their organisation, today I’m renaming RevOpsCharlie to charliecowan.ai.

In this article I explain the reasons and introduce the AI Adoption Accelerator, a 12 week program to help you win with AI in 2025.

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.