Your team gets names and reasons from your own records. Nobody buys a list.
It has been going in for years. Reading it back was never anybody’s job, and your team has a day job.
“It’s been sitting there for eighteen months, building this bank of knowledge that we haven’t done anything with.”
“We haven’t had chance to look.”
Someone exports and counts. Someone else noted it differently. Meanwhile customers drift off without saying so, and nobody sees it until they have gone.
What is one regular customer worth to you a year?
“I’ve got no flipping idea.”
“All these unconnected systems with information nobody realised they needed.”
“Everything’s in my laptop, in my head.”
Real projects this year, described without names.
A trade printer, years of order history
Customers rarely announce that they are leaving. Their orders get smaller, the gaps between them get longer, and by the time anyone notices, they have gone. Years of order history show that pattern forming months before it finishes, in time to pick up the phone.
Useful to account managers and the owner
A law firm, twenty years of matters
Referrals arrive through people the partners know, and everyone has a feel for who sends the most. Nobody can say for certain, so the same people are invited to everything out of habit. The work is to trace which relationships produce fees and which have gone quiet.
Useful to partners and business development
“We’ve spoken to her twenty-eight times this year. How much work did we get from her?”
A median salary of £58,743, before National Insurance and pension.
ONS, Annual Survey of Hours and Earnings 2026 (provisional), full-time median, sales accounts and business development managers
A salary, plus National Insurance and a pension, every month.
On cold calls, 5.4% of dials reach someone.
Gong Labs with 30MPC, 2024; over 300 million cold calls, global
A monthly retainer or a price per meeting, for as long as it runs.
In a 2024 mystery shop of 170 UK adviser firms, almost a quarter never replied to a web enquiry.
DSL AdviserResponse Benchmark 2024, reported by International Adviser, July 2024; 170 UK adviser firms
Names and reasons from your own records. The people on it already know you.
From £750 + VAT, a written answer either way, usually within days.
“They’re very warm contacts. We know there’s a lot of them, but we don’t know who they are.”
Your team
Nobody on your team fills anything in
Your time
About an hour of your time to get access
Your data
Hand it over in whatever state it’s in
“So it’s not another thing for them to do.”
“You can’t be ars*d to fill out a CRM system, and they’ve all gone, yeah, that’s great.”
Jackson Howell · Founder, Riselabs
Background
The method
I work with AI to process data.*Where your records hold personal or sensitive details, they can be anonymised or filtered by script before any AI tool sees them. Agreed with you before anything is provided. I check what it finds against your records, and we work out together what it means and what to do next.
From £750 + VAT to start
From £750 + VAT
A written answer either way
On a portion of your data
With what to do next, presented in person
You decide at each stage with the last one’s result in hand.
Two minutes. No sign-up to see the result.
You can, if you know your data is sound and what to ask. If not, the first stage finds out before you pay for a full run on thin data.
A hundred real notes vs ten thousand bare rows
A dashboard shows what is happening and leaves the rest to you. One client asked me for a dashboard before anything else, and I said it would not give them the answers they need. They needed answers in writing, with something to do about each.
It usually is, and sensitive data is the normal case. Outdated contacts and notes in free text are the normal starting point, and working through them is part of the job. What can’t be fixed is data that was never recorded, and the first stage finds that out.
Where your records hold personal or sensitive details, they can be anonymised or filtered by script before any AI tool sees them.
For example: A property company’s occupier list turned out to hold twenty-seven leases ending inside the year and a dozen tenants who no longer existed.
For example: One charity’s partner list turned out to name the wrong person at most of the organisations on it.
About an hour to get me access. Nobody fills anything in; the reading is done on what’s already written, and the first stage says whether it can answer your question.
No. Working out the right questions is part of the first stage.
For example: A first question can be as plain as: who used to buy from us and stopped?
If someone on your team has a few clear weeks, they can. This is for when nobody has, and you want someone who does this all day. I do the first reading with AI and tools built for your data, and every finding is checked against your records before it reaches you.
Two minutes. No sign-up to see the result.
