Workflow and AI automation for the work nobody should retype.
- FIRST STEP
- 10 working daysOne process, mapped and shown working, with a business case and a dated plan.
- TEAM
- 3–5 peopleA dedicated team from our 50+. The people who scope it build it.
- OWNERSHIP
- YoursCode, data and accounts are yours from the first commit. No lock-in.
SIGNS YOU NEED THIS
- 01People copy details from emails and PDFs into the ERP or CRM by hand.
- 02Approvals sit in someone's inbox until somebody chases them.
- 03You run a tangle of Zapier zaps nobody fully understands, and some have quietly stopped.
- 04Skilled staff spend part of every day on work a rule could do.
- 05Retyping errors surface later as a wrong invoice, wrong stock or an unhappy customer.
- 06You have tried an AI tool, but it sits beside the work instead of inside it.
WHAT WE BUILD · WORKFLOW & AI AUTOMATION
Document and data entry automation
Invoices, purchase orders, delivery notes and forms read by AI, checked against your rules and records, and entered into the right system, with anything uncertain sent to a person.
Approval and hand-off flows
Requests that route to the right approver, send reminders, escalate when they stall and record who decided what, without anyone forwarding an email.
Email and enquiry triage
Incoming mail and form submissions sorted, tagged and routed to the right person, with draft replies prepared for your team to check and send.
Reports that build themselves
The figures leadership asks for, pulled from the source systems, assembled and sent on schedule, so nobody spends a morning on copy and paste.
Zapier, Make and n8n clean-up
We audit the automations you already run, fix the fragile ones, write down what each does, and move core flows onto something with logs, retries and alerts.
Monitoring and ownership
Every run logged, failures retried and then flagged to a named person, and a handover so your team can see, and change, what runs.
SYSTEMS AND TOOLS WE COMMONLY WORK WITH
- AUTOMATION PLATFORMS
- n8n
- Make
- Zapier
- Power Automate
- UiPath (screen-based RPA, as a last resort)
- AI MODELS
- Anthropic Claude
- OpenAI
- Google Gemini
- Azure OpenAI
- AWS Bedrock
- CUSTOM CODE
- TypeScript
- Python
- webhooks
- queues and schedulers
- PostgreSQL
- CONNECTED TO
- ERP and accounting systems
- CRM
- Microsoft 365
- Google Workspace
- Slack and Teams
We pick tools for your situation, not ours. If something you already run does the job, we keep it.
HOW IT WORKS
- 01
A 10-day first step
One process or page, mapped with the people who do the work and shown working. You leave with a business case and a dated plan, and keep everything it produced.
- 02
Build in short, visible steps
Working software every week or two on a staging site you can click, with weekly written notes on what moved and what we need from you.
- 03
Launch and hand over
Released carefully, with monitoring switched on, then a handover pack: code, docs, runbooks and a session with your team.
- 04
Look after it
Support, monitoring and improvements on terms agreed in writing before we start, with a named team who knows the work.
WHERE WE DO THIS MOST
QUESTIONS BUYERS ASK
- What should we automate first?
- Start with work that happens often, follows clear rules and moves information between two systems, such as entering supplier invoices or turning emailed orders into ERP orders. It should be easy for a person to check and cheap to get wrong while everyone learns. The 10-day first step maps one such process with the people who do it, shows the automation working on real examples, and gives you a business case before you commit to more.
- Should we use Zapier, Make or n8n, or build something custom?
- Use the platforms where they fit: simple, low-volume flows between well-known apps are cheaper on Zapier or Make, and n8n suits teams that want to host their own. Build custom when the flow is core to the business, runs at volume, needs careful error handling, or touches a system with no ready connector. Plenty of companies sensibly run both, and we set up and look after either.
- How do you keep a person in the loop?
- We agree with you which steps the automation may complete on its own and which need a person. Anything above a value you set, anything the AI is unsure about, and anything going to a customer can wait in a review queue with the source document alongside it. Approving takes one click, every decision is logged, and the thresholds can be loosened as trust is earned or tightened at any time.
- Is our data sent to AI models?
- Only the data a step needs, and only to a provider you have approved. We use providers' business and API terms, which keep your data out of model training where the provider offers that, and where it matters we run models inside your own Azure, AWS or Google Cloud account. Personal or sensitive fields can be masked before anything leaves your systems, and many steps need no AI at all.
- How are the results measured?
- We agree the measures in the first step, using your own numbers: how many items are handled, how long each takes by hand today, how often errors happen, and how many items still need a person. The automation logs every run, so volumes, exceptions and time saved sit on a simple dashboard you can check yourself, rather than taking our word for it.
- What is RPA, and do we need it?
- Robotic process automation (RPA) drives software through its screens, clicking and typing as a person would. It is useful when a system has no API, no database access and no export, but it breaks when the screens change, so we treat it as a last resort. Most work is more reliable through APIs, databases or file exchange, and we will tell you which route each process needs.
- What happens when an automation fails?
- It says so. Failed steps retry automatically, and anything that still fails goes to a named person with the record, the error and the likely fix. Nothing disappears silently, and the log of every run is kept, so any item can be traced back to the email, file or system it came from.
GUIDES
YOUR FIRST STEP
Start with one process, working in ten days.
Tell us where it slows down. We map it with your team, show it working, and hand you a business case. If the numbers do not work, you keep everything it produced.