AI systems, designed and built.
We find where AI moves your money. Then we build it and run it.
Not slide decks. Working software that reads your real data, does real work, and keeps running after we hand it over. Built for contractors, distributors, professional services firms and manufacturers.
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01
Read the inbox3,000 email conversations → 945 facts
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02
Apply the block listCompetitors and opt-outs removed before scoring
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03
Score every account out of 10083 opportunities in three priority tiers
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04
Draft in the owner’s voiceEach one names the properties that manager controls
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05
Owner approvalApprove, edit or hold every message
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06
Send and verifyEvery sent message checked against what was approved
From case 01, a commercial landscaping company. Live and running every week. Read it
The problem
The problem is usually the same.
You know AI matters. What’s missing is someone who can see where it actually moves your money, and then build it into the business.
Quoting is slow.
Prices go out late, or not at all, because one person holds the numbers.
How we fix itMap where the time goes, rank it by dollar impact, and prove the fix on your own data.
Follow-up leaks.
A quote with no reply gets written off as lost. Usually it’s an open opportunity.
Built and liveA system that ranks who to chase and drafts the message in your voice.
Admin keeps growing.
The office cost climbs faster than revenue, and the next hire is another admin.
How we fix itAn Assessment that prescribes the tools to win back 5–10 hours a week.
The core runs on spreadsheets and memory.
The customer record lives in a spreadsheet and one person’s memory. It held at the old size. Every new customer and hire breaks it a little more.
What we buildOne production system that runs the process on your real data. One build turned a 33-row spreadsheet into 120+ mapped contacts.
The work · Case 01 · Commercial landscaping
The next contract was already in the inbox.
Live · running every weekYears of property-manager relationships sat in two email accounts. The customer list was a 33-row spreadsheet. Nobody could say who was still warm, or who to call first on Monday.
- Old relationships reopened and turned into booked meetings
- Quote requests coming back from accounts that had gone silent
- A weekly outreach campaign that runs without the owner doing any admin
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~3,000Conversations
It read the archive. Three and a half years of email with property managers: every quote, reply, meeting and outcome.
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945Clear facts
It turned them into facts, each one traceable back to the email it came from. A quote with no reply counts as an open opportunity, not a lost deal.
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83Ranked accounts
It scored every account out of 100 and ranked the opportunities in three priority tiers. Competitor-linked firms and opt-outs were blocked before scoring.
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120+Contacts mapped
It rebuilt the customer list from 33 contacts to over 120: which properties each manager controls, when they were last contacted, what was quoted.
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OwnerApproves every message
It writes like the owner, modelled on his own past emails. He approves, edits or holds every message. The system cannot send on its own, and every sent message is checked against what he approved.
Selected work
Five builds, and what each one produced.
Each one with the problem, the result, and how it was built and checked.
Old relationships turned back into booked meetings
A customer list rebuilt from 33 contacts to over 120, straight from the owner’s inbox. Outreach every week, approved by him.
Read the caseGrowth playbooks with the actual words and numbers
1,745 source documents turned into 26 playbooks, then audited by fifteen independent reviewers.
Read the caseOutreach that leads with something useful, not a pitch
Finds and researches each prospect, then opens with something about their business. It cannot send the same message twice.
Read the caseThe audit that answered the question he hadn’t asked
It showed one revenue target couldn’t be reached on that model, before he spent money on the build.
Read the caseWebsites that get found and qualify the lead
No subscription, no plugins, nothing to update. Readable by search engines and AI assistants.
Read the caseThe receipts
Real systems. Real numbers.
Every figure here comes from delivered work, and each one links to the job behind it.
clear facts pulled from three and a half years of email, each one traceable to the message it came from.
Case 01 · Landscaping →contacts in a customer list, rebuilt from the owner’s own email history.
Case 01 · Landscaping →words read and turned into 26 operational growth playbooks, audited against the source.
Case 02 · Playbooks →the runtime, for a worse result. That’s why we test cheaper options before choosing a model.
How we control cost →Ways to work with us
Start small. Climb when it pays.
You don’t need to know which AI tools you want. Bring the business problem. Growing companies usually start with an Assessment; established ones with an Audit.
Know where the money is.
Before you spend on a build, find out which jobs are worth automating, and prove one.
- AI Tools Assessment$1,000one-off
- AI Opportunity Audit
One system. One outcome.
A production AI system built around one job in your business, and deployed where your team works.
- Custom AI Build
Keep it working.
We host, run and tune the system, work alongside your team, or lead your whole AI function.
- Managed AI Digital Employee
- AI Concierge
- Fractional Head of AI
The Assessment has one fixed price. Everything else is scoped with you on a call and agreed in writing before work starts. Book a call to talk it through.
How we work
Checking isn’t an extra. It’s how the work gets built.
AI that touches your customers, your money or your reputation has to be right, not just impressive in a demo.
A person approves what goes out
Systems that act for you find, score and draft. You approve before anything leaves the building.
Nothing checks its own work
A second pass reviews the first without seeing its conclusions. Flags are re-tested by separate reviewers.
You’ll get a negative answer if that’s the answer
One validation programme we ran came back “don’t build it.” That recommendation was accepted.
You pay for the result, not the fanciest model
We test the options against the actual job, including cheaper ones, and measure exactly what’s lost.
Your data stays yours
Systems run on credentials you issue and can switch off. Your data is never sold, shared or used to train anything.
We name the failure modes first
Before a job starts, we list the ways it could fail and build the check for each one into the process.
Talk to us
Something here sound like your business? Start with a short call.
No slide deck and no hard sell. If AI isn’t the right tool for your problem, you’ll hear that on the call.
- What you’re trying to fix
- Whether AI is genuinely the right tool for it
- What it would take