AIAUTOMATION
Automate today. Scale tomorrow.
The copying, checking, chasing and re-typing that eats your week — mapped, automated across the tools you already pay for, and monitored so you find out when it breaks before your customer does.
Less manual work, more possibilities
Every team has a handful of processes held together by one person, a spreadsheet and a habit. They are invisible until that person is on holiday. Those are the ones worth automating first.
We start by timing the work — how often it runs, how long it takes, where it goes wrong — and automate in order of hours returned. Deterministic steps stay deterministic; AI is used only where the input is genuinely messy, like reading an invoice, sorting a mailbox or summarising a call.
Nothing is left as a black box. Each automation gets logging, retries, a failure alert to a real human, and a documented manual path for the day an upstream API changes.
Everything on the poster, in plain English
- 01
AI Automation
Language models placed exactly where the input is unstructured, and nowhere it is not needed.
- 02
AI Workflow Automation
Multi-step flows across your apps with branching, retries, approvals and a full run history.
- 03
Business Process Automation
Onboarding, approvals, invoicing, reporting and handovers, mapped end to end and then taken off your desk.
- 04
Tool Integrations
CRM, helpdesk, billing, storage, sheets and internal APIs, connected once so data stops being re-keyed.
- 05
Data Processing
Extraction from PDFs, emails and forms; cleaning, validation and enrichment into a shape you can query.
- 06
Task Automation
Scheduled and event-driven jobs for the repeated small things — reports, reminders, syncs, backups.
- 07
Custom AI Solutions
When no off-the-shelf tool fits the process, a purpose-built one that does — and only does — your job.
- 08
Efficiency & Scalability
The same process holding at ten times the volume, with the cost per run measured rather than hoped for.
Four steps, no mystery
- 01
Audit and time it
A week of mapping: which processes, how often, how long, where they fail, and what each hour is worth.
- 02
Rank by hours returned
A prioritised backlog, highest-return and lowest-risk first, so the first automation pays for the audit.
- 03
Build and run in parallel
The automation runs alongside the manual process until its output matches, then the manual one retires.
- 04
Monitor and extend
Alerts, run logs and a monthly review — with the next process from the backlog queued up.
Deliverables
- Process map of the current workflow
- Live automations with run history
- Failure alerting and retry handling
- Hours-saved and cost-per-run reporting
- Documented manual fallback path
- Prioritised backlog of what is next
Tools & stack
- n8n
- Make
- Zapier
- Python
- Claude
- OpenAI
- Airtable
- Google Workspace
- Webhooks
Chosen per project, not per habit — if something in your estate fits better, we use that instead.
Asked before you ask
Where should we start?
With whatever is done weekly, takes more than an hour, and follows rules a new hire could learn. That is almost always the fastest payback.
Do we need to replace our current tools?
No. Most of this work connects what you already use. Replacing a tool is a separate decision, and we will only raise it if the tool is the bottleneck.
What if an automation fails at 2am?
It retries, then alerts a named person with the failing run attached, and the documented manual path covers the gap. Silent failure is the thing we design hardest against.
Is this about cutting headcount?
In our experience it moves people off re-typing and onto the work they were hired for. We report hours returned, and what you do with them is your call.
FROM CONCEPT TO IMPACT
What is eating your week?
Tell us the process everyone dreads. We will map it and show you what it looks like automated.