Transform your business with AI.
Custom AI systems, built inside the software you already run, that take whole workflows off your team, start to finish. No generic tool that does half the job. No 18-month project. No migration.
Designed, built and run by David and Graham.
The problem
Manual work is holding your business back.
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01
Manual processes.
Your people retype the same details between email, spreadsheets and systems every day, and hours go with it.
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02
Convoluted integrations.
Tools that don’t talk to each other, patched together with exports, copy and paste and workarounds that break.
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03
Growth means hiring.
More work means more people doing the same manual steps, and the cost grows with it.
The solution
We don’t automate tasks. We transform whole workflows.
We build an AI system around one whole piece of work, from the moment it arrives to the moment it lands in your systems. It reads, checks against your records and rules, and prepares the result, holding anything unusual with the reason. Your person approves.
- Less manual workThe reading, retyping and checking between systems is done for your people, not by them.
- Faster turnaroundWork that waited in a queue for someone’s time is ready in minutes, with anything unusual held and explained.
- Growth without hiringThe same team handles more, and spends its time on the judgment only people can bring.
With us: one system does the busywork
- Gmail
- Excel
- PDFs
- QuickBooks
- Salesforce
- Slack
Logos are trademarks of their owners and show commonly connected tools.
How it works
Four steps, one workflow at a time.
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Audit
We map how the work really moves and rank where time is lost.
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Design
We design the system around your tools and test it on your past work.
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Go live
It runs inside the software you already use. Nothing new to learn.
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Improve
We watch the results, tune it and take on the next workflow.
Client results
Results our clients got back.
Every number is what the client’s team got back.
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20× faster design turnaround
Engineering
A global semiconductor company
Teams of AI agents design and verify chip blocks, and an engineer signs off every result.
- 95% less engineer time on the automated steps (estimate)
- Every result verified before an engineer sees it
- Design changes drafted from an engineer’s goal
View case study : Chip design automation View demo : Chip design automation
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1 day a week back for every agent Estimate
Real estate
A residential estate agency, about 50 agents
Leads, listings, deals, compliance and commission in one system, with an AI assistant.
- About 20,600 hours a year back across the agency (estimate)
- Agents working in it four months after the first build
- Commission paid only after two approvals
View case study : One system for an estate agency View demo : One system for an estate agency
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3 h → 20 min for each client investment review Estimate
Finance
A wealth management group with four regulated businesses
One client record across four businesses, with documents and reviews prepared for people to approve.
- About 4,300 hours a year back across the group (estimate)
- Built in four months, with 278,000 rows moved across
- Every document checked before compliance sees it
View case study : Client operations for a wealth group View demo : Client operations for a wealth group
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5½ h a week back for every clinician Estimate
Healthcare
An outpatient clinic with three offices
The visit note, patient summary and letters are drafted during the visit, for the clinician to sign.
- Drafts ready one to two minutes after the visit
- Eight kinds of document from one visit
- Nothing leaves the office computer
View case study : Clinical notes and letters, written during the visit View demo : Clinical notes and letters, written during the visit
Reference clients will take your call. Estimates are marked, with the arithmetic on each case study.
You work with the people who build it.
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David Peyton
Runs Brightwork Digital
Ran IT for a healthcare group, with systems used by 3,200+ providers in a Henry Ford Health program.
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Graham Peyton, PhD
Engineering and AI automation
Architect of a multi-team system that designs and verifies microchips. PhD, Imperial College London.
Straight answers.
For your security team: security, on one page.
What happens on the discovery call?
Thirty minutes with one of the two people who would build it. You tell us where the work piles up; we tell you plainly whether a build would pay for itself, which systems it would touch and how long it would take. If it wouldn’t pay, we say so.
How long until something is live?
The audit takes two weeks. A first build usually goes live six to ten weeks after that, depending on the systems involved.
How much of our team’s time does it take?
Mostly during the two weeks: time with the people who do the work, so we see it as it really happens, and a named owner who agrees the target. After launch, a person approves what the system prepares, which they would have checked anyway.
Consultancy or software company?
A consultancy hands you a plan and a platform hands you a tool. We do the two weeks of finding the work, then build and run the software that does it. The plan exists to price the build.
Will this replace our people?
That is your decision, and it is not what we build for. We measure hours taken off the team, not jobs. What those hours go to is yours to choose: more volume without hiring, faster turnaround, or the work that has been waiting.
Which steps stay with a person?
Anything that commits money, a customer, a patient or a policy, and anything the software is unsure of. It prepares; a person approves. Routine items are approved in a batch, unusual ones arrive with the reason, and if anything fails, work drops back to your team’s normal process.
Should IT or the business own it?
The business owns the result and IT owns the access. The department head agrees the target, and their team approves the work. IT reviews it before granting access, controls the accounts it runs on, and can switch it off.
Do we need to clean up our data first?
No. We work with your systems as they are. The audit notes where messy data will cost accuracy, and the build checks what it prepares against your records and holds what doesn’t match.
Which AI handles our data, and where?
That is named in the audit, with every system the work touches and the access each one needs. It runs in your cloud, under your access controls, read-only wherever possible. Your data is never used to train AI. We sign an NDA first, and every action is logged. The security summary has the detail.
What happens when AI models change?
Each piece of work is tested against your past cases. When a model is retired or a better one arrives, we switch it, run the tests again and you approve the release. That is part of support.
What does it cost, and when does it pay back?
A first engagement is typically $20,000 to $30,000 up front, then $2,000 to $5,000 a month for support. The audit is a fixed fee, credited toward the build. The build is a fixed price, quoted once the audit has measured the work and sized at a fraction of the first year’s value, typically 10 to 30 percent of it, so you see the price and the payback together. The target is measured within 90 days of launch.
What counts as missing the target?
The target is one measurable result, agreed in writing before the build starts: for example, the share of invoices matched with no retyping. If it isn’t hit within 90 days of launch, the build fee is refunded.
What does it look like six months in?
Support is month to month from a named person, one of the two who built it, with automated monitoring around the clock and a one-hour response if the work stops flowing. You own the code and its documentation, and if you ever leave there is a 30-day handover plan.
Are the case-study figures measured?
Some are, such as the 20× faster design turnaround and the records moved. Others are estimates modeled from each client’s own volumes and roles. Those are marked, and each case study shows its arithmetic so you can test it with your own figures.