Nobody has had the time to read it back. Customers, orders, case notes, supporters and emails, in whatever systems and spreadsheets were to hand.
Any system, any stateNobody on your team fills anything in
Two minutes. No sign-up to see the result.
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 and supporters drift off without saying so, and nobody sees it until they have gone.
What is one regular customer, or supporter, 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 support charity, over ten years of case notes
Every support worker writes up every session. The outcomes funders ask about are all in there, written as stories, so nobody can count them without going back through everything by hand. The work is to read the whole record and turn it into numbers the team can put in front of a funder, a commissioner or the board.
Useful to the chief executive, fundraising and trustees
A grant-funded charity, years of applications
Every application is filed, and so is every outcome. Nobody has read them side by side. The work is to find the pattern in what funders rewarded, so the next application starts from evidence rather than instinct.
Useful to bid writers, fundraising and the chief executive
Work in progress So far, one charity’s notes have shown what they were never recording, and are answering funders’ questions that used to take weeks of picking through.
Four of twelve; the rest by sector: for a business · for a charity
“This is exactly something that could help us prove what we’ve done over the decade.”
“When I’m asked how many people do this, I’ve got no idea. Sometimes I’m using my own interpretation.”
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.
The detail, for whoever looks after your systems: for a business · for a charity
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? Or: when someone left, did we close their case well?
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.
