QUESTIONS, ANSWERED PLAINLY.

We find the repetitive work that eats into your team's week: typing the same details into different systems, chasing people for replies, booking and confirming, building the same report every month. We put a pound figure on what that work costs you, then build systems that do it instead.

Most of what we build is automation that connects the tools you already use, with AI added where it genuinely helps, such as reading a document or drafting a first reply.

Not at all. You don't need to understand how it works, in the same way you don't need to understand email servers to send an email. Your part is telling us how your business runs. Ours is working out what can come off your team's plate, explaining it in plain English, and building it. Nothing gets built that you haven't agreed to first.

If you'd like to try it yourself first, start with our eight free prompts.

Automation follows fixed rules. When a form comes in, it adds the details to your system and sends a confirmation, the same way every time.

AI handles the parts that need some judgement, like reading an email to work out what the person is asking for, or pulling the key details out of a letter. Most useful systems are mostly automation, with a little AI where the fixed rules run out.

Yes, and anyone who tells you otherwise is selling something. AI can give an answer that sounds confident and is wrong. So we use it for sorting, reading and drafting, we keep a person checking anything that goes to a client, and we use plain automation wherever a fixed rule will do the job, because a rule can't make things up.

We build it to take the repetitive work off the people you already have, so their time goes on clients, cases and sales. At the law firm we worked with, that came to roughly six hours a week back for every lawyer. What you do with the time is your decision.

No technical knowledge needed. We start with the tools you already pay for and only suggest new software where it clearly pays for itself. When we do, we set it up around the way your business already works.

It's thirty minutes and it's free. We ask what your week looks like, what your team dreads doing, and what gets copied by hand from one system to another. You leave knowing whether there is anything worth doing. If there isn't, we'll say so.

We map how work actually moves through your business, step by step, including the handoffs that break and the places where work sits waiting. Then we put a monthly figure on what those gaps cost, using your numbers.

Within 72 hours of the mapping session you get a report with your processes drawn out, the cost of leaving them as they are, a ranked list of what to fix first, and a phased roadmap.

The first call is free. The audit is £1,500, credited in full against the build if you go ahead within 30 days. Builds start from £4,000 and are priced by what the audit finds.

We only propose a build that pays for itself within twelve months, and we aim for under six.

The audit report comes back within 72 hours of the mapping session. How long the build takes depends on what the audit finds, and the roadmap gives you a timeline for each phase before you commit to anything. We build in phases, starting with whatever pays back fastest, so you see something working early.

Most of it comes at the start. We need time with the people who actually do the work during the mapping session, because they know where things break. After that it's a short check-in at each phase, and someone to try each piece before it goes live.

We train your team to run it, so you are never dependent on us to use your own systems. After that we can stay on to maintain it, fix anything that breaks, and add to it as the business changes.

No. You own what we build and the accounts it runs on, it's documented, and your team is trained to use it. If you ever want someone else to look after it, they can pick it up.

It can be, when it's set up properly, and setting it up properly is a big part of the job. We use business versions of AI tools covered by a proper data processing agreement, never free consumer tools that may learn from whatever you type into them. Each system only gets access to the data it needs for its job.

Before anything is built, we list every tool that will touch your data, where it's hosted, and what contract covers it, and you see that list. If a tool stores data outside the UK, we tell you and make sure the right transfer terms are in place. We choose tools whose terms don't allow your data to be used to train their AI.

We split your systems into zones. Most of the value sits in the everyday business layer: enquiries, scheduling, reminders, invoicing and reporting. That's where we work.

Anything holding sensitive personal data, such as case files, medical information or detailed financial records, is out of bounds by default. We only go near it with a data protection impact assessment, sign-off from your own compliance lead, and your written instruction.

Decisions that matter stay with people. We design every system so that anything with real consequences for a client, like advice, eligibility, or anything legal or financial, is made or checked by a person and never left to the system alone.

Your business stays responsible for how it treats its clients, just as it is for the work of any member of staff, which is exactly why we keep a person in the loop. The systems keep a record of what they did, so if something looks wrong you can see what happened and when.

No. Our founder trained in law and legal technology, so we design with UK GDPR and your regulator's rules in mind, and we'll flag problems early. But we are not your lawyer or your data protection officer. Sign-off on how regulated data is handled stays with your own adviser.

AI governance means knowing four things: which AI tools your business uses, what each one is allowed to do, what data it can see, and who checks its work.

A small business doesn't need a policy manual. It does need those four answers written down, because clients, insurers and regulators are starting to ask. We hand them over with every system we build.

If AI is processing your clients' personal data, UK data protection law expects you to be open about it, which usually means your privacy notice says so. If a system ever made a significant decision about someone with no person involved, they would have specific rights under UK GDPR.

We design so that doesn't happen, and we'll point out where your privacy notice may need updating. The final wording is for you and your adviser.

For most businesses, the rules that matter day to day are UK GDPR and the Data Protection Act 2018 for anything involving personal data, the duty of confidentiality you already owe your clients, and whatever your own regulator says, such as the SRA for solicitors.

The government's approach so far has been to ask existing regulators to apply five principles to AI: safety, transparency, fairness, accountability, and a way to challenge outcomes. We build with all of it in mind.