For the finale (well, it was after lunch) of two packed days at IIEX EU in Amsterdam, Colonel Mustard Lucy Davison brought together our expertise in insights communication with the hottest topic of the moment – AI. We teamed up with Hennieke Potman, Global Consumer and Market Insight Manager from Flora Food Group to share our research into a common question we hear when advocating for thoughtful, structured insights communication: “Why not just use AI?”

In true research fashion, we put AI to the test in a real-world experiment: could it help us communicate insights faster, better, cheaper, or more effectively? The answer: not yet. While tools like ChatGPT, Piktochart, and Synthesia showed promise, we learned that human input is still essential – for structure, storytelling, data safety – and sanity.

Our brief was to create materials that went beyond Powerpoint reports which could be shared in Flora and which should make a measurable impact.

Here’s what we found out…

Lesson 1: The short-list only gets shorter

We began by exploring the landscape of generative AI tools, testing a wide range from LLMs like ChatGPT, Gemini, and Copilot to tools like Claude and NotebookLM. We wanted to see if they could meet key criteria: data secure, low-cost, easy-to-use, time-saving, and genuinely useful. We also explored visual content generators like Custom GPTs, Vyond, Pictory, and our current favourite, Gamma, to see how they handled video and infographic production.

To ensure a fair comparison, we used the same input each time – a dense, 48-slide insights deck filled with data, charts, and infographics, on gender equality. We asked them to create videos, infographics and summaries – the materials for Flora to share.

The results? Very mixed. The tools varied widely in output, usefulness, and quality – and some offered more headaches than help.

Yes, generative AI can produce content based on your input – but that’s where the optimism ends. When we fed our insights deck into popular tools like ChatGPT, the results were underwhelming (and occasionally laughable).

Even custom GPTs designed specifically for infographic creation for example, could barely manage a bar chart. The outputs were incorrect, cluttered, or just plain bizarre – a classic case of hallucination.

And animated videos? Let’s just say the chaos on screen earned a solid laugh from the IIEX audience – but not for the right reasons.

Most of the tools we tried did not make it through the first round of testing.

Lesson 2: Trust still matters – read that data security clause!

Amongst the dozens of tools we tested, a few stood out for producing semi-decent outputs – notably Gamma, Piktochart, and Synthesia. These made our initial shortlist thanks to their ease of use and relatively polished results.

But when we looked closer at their data policies, things got murky. Scrutinising legal clauses and privacy terms quickly became a task in itself. And while many in the insights world love Gamma, its data protection terms are vague at best – offering no clear commitment that your input or output won’t be used to train their models. For this experiment, where we were working with confidential Flora research, that was a dealbreaker. Gamma had to go.

Lesson 3: It’ll take (your) time… A lot of it

AI tools love to promise the same things: faster, better, more efficient outcomes. And yes, in some cases, they delivered. For example, ChatGPT-4o (with its latest image generation update) helped us create custom visuals for our infographic. But other tools? Across the board, we found that the tools required a lot of human editing, creative judgement, and iteration – more than without using them.

Take Synthesia. It’s a platform that lets you create talking head videos using stock avatars – or even one in your own likeness, complete with your voice. Sounds futuristic, right? And on the surface, it is. The editing interface is user-friendly, and generating an avatar version of Hennieke was eerily realistic.

But things got manual, fast. We still had to write the storyboard, script the content, and manually adjust everything from tone of voice to timing and animation. After seven iterations and over five days of tweaking tone, timing, and visuals, we finally got a version we liked. Ironically, doing it the ‘old-fashioned’ way and filming Hennieke presenting, would have taken us just three. So, while Synthesia automated the avatar, the rest still relied heavily on human creative direction.

The same was true with Piktochart. It gave us a decent starting point for our infographic, based on a storyboard we fed in – but missed key insights, context, and tone. We had to fill in the gaps ourselves, then redesign fonts, colours, and layout elements to align with Flora’s brand. What began as a “smart” AI quickly became a clunky design tool. In the end, using good ol’ Adobe design platforms – with a real human at the helm – proved quicker and better for the job.

In total, the Flora and Mustard team spent over 60 hours producing all the content.

What does this mean for insights communications?

The bottom line? These tools not plug-and-play. AI can support the process – if you’re prepared to invest more time editing, refining, and steering output than you would without them.  Above all they don’t replace the creative thinking and sharp eye that only humans bring.

What is important to know is that when we shared the final materials and measured impact at Flora, the content captured attention and sparked engagement across the board – proving again the value of thinking beyond the PowerPoint report and creating insight communication campaigns that resonate.

Final lesson: AI is promising but people make it meaningful

Of course, AI isn’t the problem – it’s the expectation that it can do it all. The creativity, context, and quality control still need to come from people – AI just gives us a new set of crayons to colour with.

Experimenting with these tools reminded us just how valuable we are.

The post Faster! Further! Better? Spreading Flora’s Insights in a real-world experiment using AI appeared first on Keen as Mustard Marketing.

Research conferences are full of buzz – but sometimes it’s more noise than clarity. Amidst the AI talk and similar shiny promises at Quirk’s London, it was easy to lose sight of what really makes this industry tick.

That is why one session stood out for all the right reasons: Vodafone Business’ ‘Creating Authentic B2B Thought Leadership’. It was a timely reminder for strong thought leadership doesn’t just inform – it builds trust, proves value, and challenges decision-makers to look at their business problems in new ways – especially crucial in a progressively tech-driven market.

More than a message

What began as an internal trends report soon evolved into an outward-facing campaign, designed to offer real value to customers – not just the sales team. By addressing genuine business pain points, they transformed insight into impact.

But they didn’t always get it spot on. During their 2018–2019 ‘Future, Ready?’ campaign, Vodafone found one question kept surfacing: Who is ready? What does it actually mean to be future-ready? Businesses will always have follow-up questions, and you campaign needs to be ready to answer them. So back they went to the drawing board.

The outcome was their ‘Fit for the Future’ campaign – built on a robust framework that helps businesses assess their own readiness for what’s next. With just a short online assessment, companies can now find out how ‘fit for the future’ they are – directly addressing customer questions and creating ongoing value.

Why did it resonate? The key factor that made this work was because it didn’t just speak to customers – it supported them. The most impactful thought-leadership isn’t just about broadcasting ideas; it’s about solving real problems, offering clarity, backing it up with research, and showing up as a true partner.

Guiding principles for robust thought-leadership

So, how do you actually get started? Luckily, the team at Vodafone Business offered up some practical principles and not just theory:

• Secure internal buy-in.

Before you even begin, get your colleagues on board.  Make sure the value of the campaign is clear and aligned with your business objectives. Without internal support, it won’t gain traction.

• Offer something of real value.

Your story needs to be original, credible, and genuinely useful – something your audience won’t easily find elsewhere.

• Prove you know your stuff.

Build your narrative on research. Even small-scale desk research can go a long way in establishing authority and direction.

• Collaborate for credibility

Partner with trusted institutions to boost credibility, deepen your research and amplify your reach (Vodafone worked with the London School of Economics!).

• Get the delivery right.

Even a strong message can fall flat without strong execution. Work with the press and recognised industry voices to validate and broadcast your campaign (they worked with The Economist).

And remember: it’s not about commercialisation… yet. This is about brand positioning, building trust, and being recognised as an expert in your space. You’re playing the long game.

Vodafone Business has the stats to back that up:

• 88% of decision-makers say their respect for a business increases after engaging with thought-leadership.
• 41% of C-Suite execs have invited a company to pitch after encountering their thought-leadership.
• 45% say it directly led to choosing to work with a business.

So, the next time someone inevitably asks, “How do we commercialise this?” – that’s your answer.

Thought-leadership isn’t about the quick win. It’s about creating the kind of long-term impact that shapes how decision-makers see you, long after the campaign is done.

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In a sea of AI talk and industry buzz, Vodafone Business reminded us what real cut-through looks like. They reminded us that true impact comes from insight, integrity, and a commitment to supporting clients, not just selling to them. A big thank you to Quirk’s London for curating a programme where meaningful ideas like these could shine. It was a timely reminder that while technology may shape our future, it’s the strength of our thinking – and our ability to communicate it well – that truly drives the industry forward.

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