Small business
Start with one process.
One repetitive process — quotes, bookings, support e-mails — automated with proven AI tools, set up properly and handed over. Weeks, not months, and a running cost you can predict.
Solutions
Start from what you want to build.
Some companies come to us for senior engineers. Others arrive with something specific in mind: AI in the business, an app, two systems that should talk to each other. These are the projects we are asked for most — and every one of them runs the same way.
01 · Applied AI
We help your business put AI to work.
Not a chatbot bolted onto the website. AI built into the work your people already do, connected to the data and systems you already run, and measured against the hours or the money it was meant to save.
Your competitors are already trying it. The difference is whether it is set up properly: on the right problem, with your data protected, and with a number that shows it worked.
Usually starts withDiscovery sessions →
Where it pays off
Six places AI earns its keep.
- 01
Answers from your own knowledge
Assistants that answer from your documents, policies, contracts and data — with the source beside every answer, and only what the person asking is allowed to see.
- 02
Paperwork that does itself
Invoices, orders, claims and e-mails read, checked and entered into your systems, with a person approving the exceptions instead of typing the rest.
- 03
AI inside your product
Search that understands the question, summaries, drafting and recommendations — features your customers use, running on your platform.
- 04
Agents across your systems
Work that spans your ERP, CRM and back office, carried out step by step, logged, and stopped for a person wherever a decision matters.
- 05
Insight from the data you have
Forecasts, anomalies and plain-language reporting on data that already exists, without a data-science department to run it.
- 06
The right model at the right cost
Which model, which vendor, what it will cost at your volume, and where your data is allowed to go — decided before anything is built.
For businesses of every size
Small, mid-sized or enterprise. The first step fits the business.
Mid-sized company
Connect AI to your systems.
Assistants and automations wired into your ERP, CRM and documents, with access rules, logging and a person in the loop, so the results can be trusted and checked.
Enterprise
Make it safe at scale.
The architecture and governance to run many AI use cases instead of one pilot: data protection, model and vendor choices, evaluation, cost control and security review.
Proven on your data first
Every AI engagement starts small: one use case, tested on your own data, against a number agreed up front — hours saved, errors avoided, questions answered. Only when it beats that number is anything bigger committed.
What we don't do with AI
- We don't send your data anywhere you haven't approved.
- We don't promise an accuracy we haven't measured on your data.
- We don't build AI where a simpler tool does the job — and we tell you when that is the case.
02 · Apps
An app in your customers' hands — or your team's.
Customer apps for ordering, booking and self-service; field, sales and warehouse apps for the people who keep the business running. Native or cross-platform, connected to the systems you already run, and still working when the signal drops.
Usually starts withDiscovery sessions →
What we build
- Customer apps for ordering, bookings and self-service
- Field-service, sales and warehouse apps
- Mobile access to ERP, CRM and legacy back ends
- Offline-first data and synchronisation
- App store release, distribution and updates
03 · Connected systems
Systems that finally talk to each other.
Orders typed twice, spreadsheets in between, reports that never agree. We connect ERP, CRM, commerce and legacy systems — SAP, Microsoft Dynamics 365, Salesforce and the ones nobody else wants to touch — so data is entered once and arrives everywhere it is needed.
Usually starts withArchitecture & foundations →
What we build
- ERP, CRM and commerce integration
- SAP, Microsoft Dynamics 365 and Salesforce
- Event-driven and real-time data flows
- A modern API in front of a legacy system
- Monitoring, so a failed sync is noticed before a customer notices it
04 · Modernisation
Move off the system everyone is afraid to touch.
It still runs the business, but every change takes months and the people who understood it are leaving. We map it, keep it running, and replace it piece by piece — no big-bang rewrite, no weekend of downtime, no knowledge lost on the way.
Usually starts withDiscovery sessions →
What we build
- An honest assessment of what you have
- A migration plan in stages, each one shippable
- Knowledge captured before it walks out of the door
- Cloud migration and a review of what it costs to run
- Old and new running side by side until the new one is proven
05 · New products
From an idea to a first release that can scale.
A new product, portal or platform, built on an architecture that will still hold when the users arrive: the stack, the foundations, the first release, and a team ready to carry it forward — yours, ours, or both.
Usually starts withArchitecture & foundations →
What we build
- Scope, risks and a realistic size before the build
- Architecture and stack selection
- A first release on real foundations
- Web platforms, portals and APIs
- A hand-over to the team that carries it on
Whatever brings you here
Different ways in. One way of working.
The entry point changes; what happens next does not. The same free call, the same written proposal, the same one-page statement of work, and reviews with you until the hand-over.
- 01
The call
Thirty minutes, free, with a founding engineer. You tell us what you want to achieve; we tell you honestly whether we can help.
- 02
Consultation
We look at the process, the data and the systems involved — in a discovery session when the problem needs one — and find where the value really is.
- 03
The plan
Architecture, stages, risks and a realistic size, written down before money is committed.
- 04
The proposal
The people, the mode, the rate and the expected duration, in plain language, usually within a few days.
- 05
Contract and SOW
A Master Services Agreement signed once, and a one-page statement of work for this project. A change is a two-line amendment.
- 06
The work
Engineers in your repositories, your tools and your hours. You see who worked, on what, and for how long.
- 07
Review with you
Working software shown at every stage, decisions taken together, course corrected early rather than late.
- 08
Hand-over
Code, documentation and accounts in your name. Keep us for support, take it in-house, or bring in someone else.
Have something specific in mind?
Bring the idea, the process or the problem. After thirty minutes with a founding engineer you will know whether it is worth building, and roughly what it would take.
Start here
Start with a conversation.
Thirty minutes, free, no pitch deck. Tell us where the complexity is and we'll tell you honestly whether we're the right people to help.
- 30 minutes
- One call, at a time that suits you
- Free
- No obligation, no proposal unless you want one
- A founding engineer
- No sales team on the other end