Custom AI workflows on n8n, Make, Zapier or your own code that do the manual work between your tools.
Seven kinds of work, from finding what to automate to keeping it running.
How the work is done today, mapped with the people who do it and ranked by what automating each step would save.
Workflows on n8n, Make, Zapier or Power Automate, between the tools your team already uses.
Code that connects the systems no ready-made connector covers: APIs, webhooks and queues.
Models that read, sort and draft inside a workflow, with a person approving what matters.
Invoices, forms and emails read into structured data and checked against your systems.
Bots that work the screens of systems with no API, on the RPA platform you use or choose.
Every run logged, failures retried and flagged, and the workflows kept working as your tools change.
Six steps, from the work as your team does it today to a workflow that runs on its own.
The work as your team does it today, and the first workflow worth automating.
Triggers, AI steps and human checkpoints planned on the platform that fits, with an estimate that names the dates.
The workflow built and connected to your CRM, ERP and help desk.
Run on real cases beside your team, with edge cases and failures handled.
Rolled out with training and a runbook for your team.
Every run monitored, failures fixed and workflows updated as your tools change, or handed over to your team.
The work as your team does it today, and the first workflow worth automating.
Triggers, AI steps and human checkpoints planned on the platform that fits, with an estimate that names the dates.
The workflow built and connected to your CRM, ERP and help desk.
Run on real cases beside your team, with edge cases and failures handled.
Rolled out with training and a runbook for your team.
Every run monitored, failures fixed and workflows updated as your tools change, or handed over to your team.
What we build into a workflow, set for the work it runs and the systems it touches.
Runs the moment something happens, such as a new order, a form or an email, or at the times you set.
Each item goes down the right path or to the right team, by the rules your business already follows.
Each run keeps its steps, what it read and what it wrote, so anyone can see what happened to an invoice and when.
A step that fails tries again on its own. If it still fails, someone is alerted with the run and the reason, and nothing is lost.
Runs over a limit you set wait for the right person, and the log records who approved them and when.
Personal and payment details masked, or kept out of the steps that don't need them, under your compliance rules.
Run against real past cases before launch and after every change, so it holds up on the odd ones too.
Queues and workers set for peak volume, so a busy Monday doesn't back up.
Items in flight, success rate and time saved in one view, for the team and for whoever pays for it.
Starting something new with AI, or adding it to software you already have.
An AI MVP with the features that matter most, to launch and learn.
An AI product designed, built and launched in full, by one team.
AI engineers join your team, or a dedicated team runs the work.
AI built into the systems you already run, working with your data and permissions.
A demo or proof of concept made reliable, secure and measured, ready for real users.
Hosted and monitored, with models evaluated and updated as your data changes, agreed with you.
Custom software development across industries: web, mobile and AI applications, built and security-audited by one team.
We also build software for insurance (insurtech), government (govtech), energy and media. If your industry is not listed, we can still build for it.
The platform you already use, or custom code when none of them fits.
Three products of our own, built and kept running by the same team that automates for clients.
Retail · SaaS
A point-of-sale system that keeps sales, stock and receipts together on till, tablet and phone.
Travel
A travel booking app whose AI assistant finds flights, hotels and trip ideas, through to a confirmed booking.
AI
An AI assistant for customer support and sales that answers questions and guides buyers.
The ones teams ask before they automate, answered plainly.
It depends on how many workflows, the systems they touch and whether they run on a platform or in custom code. After a first call you get a written estimate with the scope, the price and the dates, before any work starts.
One workflow takes less time than a set that spans several systems. The estimate names the dates, and each workflow can go live as it is ready rather than all at the end.
The work that is repeated most, follows the same rules each time and costs the most when it goes wrong. Discovery maps how it is done today and ranks what to automate by what it saves.
Whichever fits: the platform you already pay for, n8n when you want it in your own cloud, or custom code when no connector does what the workflow needs. Often it is a mix.
Yes. Workflows connect to your CRM, ERP, helpdesk, spreadsheets and email through their APIs; where a system has no API, an RPA bot can work its screens.
Where a step needs judgement: reading an email or a document, sorting a request, drafting a reply. A person approves anything that moves money or data, and every AI step is logged.
Yes. Documents are read into structured data and checked against your systems, and anything the workflow is unsure of goes to a person.
Yes, for systems with no API — an old desktop app or a portal — on UiPath or Power Automate. Where an API exists, we connect to it instead; it breaks less.
In your own cloud, or on the platform's hosted plan, whichever suits your data and your team.
Every run is logged. A failed step retries, and if it still fails, someone is alerted with the run that broke and why, before your team notices.
