AI transformation
Your AI transformation should leave your team stronger after we leave
We help B2B sales and marketing teams use AI to win more of the right deals. We call it augmentation rather than transformation because the aim is a team that works better with AI on its own, long after the project ends, with the skills, the story and the workflows staying inside your business.
Why most AI transformation stalls
The figure most buyers have already seen comes from MIT. Its 2025 study of generative AI in business, known as the GenAI Divide report, found that about 95% of corporate AI pilots produced no measurable impact on profit. Most leadership teams we speak to recognise the pattern from their own budgets.
Our view is that three habits explain most of it. Pilots are done to teams rather than with them, so the people expected to use the tools had no hand in shaping them. The tools arrive before the story, so AI produces more content faster on a message nobody has agreed. And the gains leave with the consultants, because the know-how sat in their heads and their slides rather than in your team.
Augment your business
Augmentation means your own people do more of their best work with AI beside them. Your sellers, marketers and leaders keep the judgement and the relationships, and AI takes on the research, drafting and checking that used to fill their weeks. In practice that changes four things:
- Research that used to take weeks takes days, with customer and lost-deal interviews transcribed, coded and summarised while the findings are still fresh.
- One sales story sits behind every AI tool and every seller, so a proposal written late on a Thursday sounds like the one your best person would write.
- Content and pages are produced to that story, so marketing output grows without drifting off message.
- Agents do the repetitive work overnight, with a person approving everything that goes out.
This is why we prefer augmentation to transformation: when we leave, the capability stays with you and your team keeps getting better.
What AI augmentation looks like in a sales and marketing team
These are the kinds of changes we make, described without client names.
Lost-deal research in days. A sales team losing late-stage deals interviews 10 buyers who walked away and 10 who signed. AI transcribes and codes every conversation, and the leadership team reads the pattern within days rather than waiting a quarter for a report.
One story in every tool. A firm whose sellers each describe the business differently agrees one sales story, then loads it into the AI assistants the team already uses, so proposals, emails and call notes all start from the same message.
A small marketing team with a bigger reach. A marketing team of three publishes case studies, landing pages and LinkedIn posts drafted by AI to the agreed story, with a person checking each one before it goes out.
Dan Ilett's own marketing department. Dan rebuilt his own marketing with AI agents that check every site overnight, build and test pages and report to him each morning, and nothing goes live without his yes. This page was drafted and checked that way.
How we work with your team
- Start with the story. You cannot automate a message nobody agrees on, so we begin with customer evidence in The Mirror and agree the one sales story your team and your AI tools will use in The Message.
- Then the workflows. We pick the repetitive work that eats your team's week and build AI workflows and agents around it in The Engine, with a person approving what goes out.
- Then training, so the skills stay. Your people learn to run and improve the workflows themselves. For leaders, A morning with Claude from The Executive Summary is a hands-on half day that gets you using AI on your own work before lunch.
- Then you run it yourselves. We hand over a team that keeps improving the system after we leave, which is the whole point of augmenting your business.
Is this right for you?
It fits B2B firms with a sales team, a story that has drifted over time and leaders who want AI to make the team better rather than smaller.
It will suit you less if your main aim for AI is cutting headcount, if you have no sales team yet or if you want a tool installed without any change to how your team works. In those cases we will say so early and point you somewhere better suited.
Questions you ask about AI in sales and marketing
What is the difference between AI transformation and AI augmentation?
AI transformation usually describes a programme that changes systems and processes, often run by outside consultants. AI augmentation puts the focus on your people: they do more of their best work with AI beside them, and the skills stay in your team after the project ends, so the gains keep growing.
How long does an AI transformation take for a sales and marketing team?
Most teams see the first useful changes within weeks, starting with faster customer research and one agreed sales story. Building the workflows and training the team usually runs alongside the next sales cycle, a few months in all, after which your own people run and improve the system themselves.
Do you need to change your tools?
In most cases you keep them. We start with the AI assistant, CRM and content tools your team already uses and make each of them work from the same sales story. New tools come in only where they save real time and your team agrees they are worth learning.
Will AI replace your sales team?
Our aim is to make your sales team stronger. AI takes on the research, drafting and admin that crowd out selling, so your people spend more time with buyers and on the judgement calls that win deals. The firms that gain most from AI in sales tend to be the ones that make their best people better.
Where should you start with AI in sales and marketing?
Start with your sales story, because if your sellers describe the business in different ways AI will repeat that confusion faster. Agree one story from customer evidence first, then point your AI tools at it and automate the repetitive work around it. The Growth Story Score shows you where you stand.