Led by Door4 founder Leon Calverley, the Marketing Multiplier AI Lab opened with a simple idea: AI doesn’t replace ambition. It gives your marketing team more capacity to act on it.
Every marketer has a backlog. You might have 100 worthwhile things to do, but enough time and budget to tackle just 20. Used properly, AI can move that number to 30, 40 or even 50 — not by churning out more generic copy, but by turning repeatable tasks into useful workflows.
That distinction matters. Plenty of teams already use ChatGPT to answer questions, draft emails and speed up one-off jobs. The bigger opportunity is spotting the prompt you use twice a week and building it into a workflow, complete with the right context, checks and human input.
One guest described the session as a “good, immersive, practical, and pragmatic view of ways to incorporate workflows with AI and harnesses”, adding that it helped answer the awkward but important question: “How can I use AI in my business?”
That’s exactly what we set out to show.
Our in-house demo app took the room from a blank page to a coherent brand concept in roughly 30 minutes.
First, guests chose the sector and helped set the parameters. The app then researched existing competitors, assessed their tones of voice and identified a potential gap where the new brand could sit. From there, we explored naming styles, agreed a name based on research into the market and looked at visual conventions across the sector.
Next came logo styles, sample concepts and colour palettes, with the room voting as we went. We were also clear about AI’s limits: it’s useful for exploring logo directions quickly, but it isn’t especially good at producing the final logo itself. Designers can stand down from the barricades.
We then agreed on an image style and created an AI composite featuring the new brand and photographs from two guests. Finally, the app generated questions for a fictional press release, captured answers from the room and turned them into a finished draft that tied the positioning, identity and story together.
The pace was part of the point. As one attendee told us, the session was “clear — good pace, well explained for a room of people at different levels… and fun and entertaining.”
The finished brand made the demonstration tangible, but the reusable workflow was the more valuable bit.
Competitive research informed positioning. Positioning shaped the name and tone. Those decisions fed into visual assets and content. Structured questions gathered human input before AI assembled the press release. Each step passed useful context to the next, rather than starting again with another lonely prompt in a chat window.
The wider session showed how the same approach can support business development research, content production, web presence and reporting. One guest said “the business development research demo, and the presenters’ knowledge and delivery, stood out”.
Another attendee arrived as an AI novice alongside a more experienced colleague and still found the session “very insightful” and “very worthwhile”. That matters. You shouldn’t need to become an AI specialist before you can start testing practical workflows in your own team.
Execution is becoming easier and faster, and clients are understandably questioning agency headcount and traditional labour-based pricing. The useful role for an agency is shifting too: away from simply completing tactical jobs and towards helping you build the prompts, brand context, knowledge and safeguards that make automation worth using.
AI shouldn’t only help you cut costs. It should help you attempt work that has been sitting on the backlog for months because there was never enough time, budget or capacity.
Our next AI Lab will focus on e-commerce, with practical demonstrations designed to turn familiar marketing tasks into repeatable workflows.
Register your interest for The AI Lab: E-commerce edition and come and see what your team could do next.
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