AI in Sales: From hype to revenue - What we covered
We hosted our first AI in Sales webinar and the conversation was a good one. Here's a summary for those who joined us, and those who didn't (but wish they had).
Let's start with the uncomfortable truth
AI tools are everywhere right now. And yet most businesses are still struggling with the same sales problems they had two years ago. Poor qualification, inconsistent processes, pipelines built on hope rather than data.
Here's the thing: AI doesn't fix any of that. It amplifies it.
If your foundations aren't solid, if your CRM is a graveyard, your positioning is unclear, or your sales process exists more in theory than practice then AI is just going to make those problems louder. The businesses seeing genuine results from AI are the ones who did the hard work first.
Sound familiar? It should. It's the same principle we talk about when we talk about sales transformation. You can't build a growth plan on a house of cards.
Reducing friction, not replacing sales
One thing I was keen to establish early on: AI is not coming for your sales team. At least, not in the way people fear.
What it is doing is removing friction at each stage of the funnel, from research and qualification through to proposals and reporting. And there's an important distinction to make here between automation (saving time) and augmentation (improving quality). Both have value, but augmentation is where the real long-term gains are. Anyone can save time. Not everyone uses that time to get better.
The human element, particularly in client relationships isn't going anywhere. If you're walking into a pitch and relying on AI to do your thinking for you, you're going to get found out.
What's actually working: real examples from the room
Tom Hewitson, Chief AI Officer at General Purpose, shared two implementations that caught the room's attention.
The first was a simple but brilliant AI agent built for a container shipping company. Before every client meeting, it automatically pulls together a briefing, calendar context, email history, support tickets, relevant industry news so the sales team walks in genuinely prepared rather than winging it. Simple idea, real impact.
The second was a live demo of a Pipedrive integration with Claude that analyses deal data, flags priority contacts, and suggests follow-up strategies based on how clients are actually behaving. Not generic outreach. Proper, informed next steps.
David from Agenticize showed something more ambitious — a fully automated lead intelligence system built for a global technology company that researches new leads and delivers a detailed brief within 90 seconds of that lead being created. Impressive stuff, and it sparked a good debate about the trade-off between sophistication and maintainability. The more complex the system, the more fragile it can become.
The question nobody wants to ask
Chris put his hand up and asked something that I suspect a lot of people in the room were thinking: if AI is doing all the prep, are salespeople actually understanding their clients anymore or just presenting content they haven't properly absorbed?
It's a fair challenge. AI can save you time, but it can't replace comprehension. The risk is that people start to use these tools as a shortcut rather than a support, and that shows up the moment a client takes the conversation somewhere unexpected.
The answer isn't to avoid the tools. It's to stay close to the output and take ownership of it. Think of it the way Tom put it — AI is like an enthusiastic intern. Brilliant in the right hands, dangerous if you let them loose without supervision.
What does serious AI investment actually look like?
For those thinking about budgets: organisations genuinely committed to AI adoption are spending around £250 per person per month. Most are spending around £20. That gap tells you something about the difference between dipping a toe in and actually building something that moves the needle.
Tom's advice and I'd echo it, is to resist the pull of tool bloat. Most effective implementations involve connecting one or two tools to your existing systems, your CRM above all else, rather than accumulating a stack of platforms that don't talk to each other. More tools is not the answer. Better use of fewer tools is.
The bottom line
AI can make your sales process sharper, faster and more personalised. But it is not a silver bullet and I'll keep saying that until it sticks. It works best when it sits on top of strong positioning, clean data, proper qualification, and a team that actually understands what they're doing.
Get those things right first. Then let AI do what it's good at.
Watch the replay: https://youtu.be/8BaOGjXA1AU
Want to talk about where AI fits into your sales process? Book a call with me to discuss https://calendly.com/gray-matters