Automation audit
We sit with the people who do the work, list the repetitive tasks, measure current effort and score each on the matrix above.
You receive
- Ranked automation backlog
- Baseline effort per process
- Platform recommendation
AI Automation and Business Process Automation
Copying data between tools, chasing approvals, keying in invoices, sending the same updates. We build n8n, Zapier, Make.com and custom workflows that handle it, with AI steps where the input is messy and checks where mistakes would cost you.
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Built for COOs, business owners and operations teams who want fewer manual handoffs without losing control of the process.
Choosing what to automate
How often does it happen, and how predictable is it? Frequent, rule-based work is the cheapest to automate and the safest. AI earns its place when the work is frequent but the input is unstructured: emails, PDFs, free-text forms.
How often it happens →
Frequent · judgement
Automate with an AI step
e.g. supplier invoices, inbound enquiries
Frequent · rule-based
Automate fully
e.g. order-to-CRM sync, lead routing
Rare · judgement
Keep it human
e.g. contract negotiation
Rare · rule-based
Template it
e.g. employee onboarding steps
How predictable it is →
Know your baseline
Before automating anything we measure the current effort, so you can judge the result against facts. Try it with one task your team repeats every week.
This shows your current effort only. How much of it automation can remove depends on the process, exceptions and data quality, which we assess in discovery.
Current effort
12 hrs/week
≈ 624 hrs/year
Choosing a platform
We are not tied to any platform. The right choice depends on who will maintain the workflow, how sensitive the data is, the volume, and how complex the logic gets.
| Platform | Where it runs | Best suited to | How cost scales | Who maintains it |
|---|---|---|---|---|
| n8n | Self-hosted or n8n cloud | Complex logic, code steps, AI agent nodes, data that should stay on your servers | Mostly per workflow execution on cloud; your own server costs if self-hosted | Technical teams, or with our support |
| Zapier | Zapier cloud | Quick, linear automations across a very wide range of SaaS apps | Per task, so costs rise with every step that runs | Non-technical teams can edit simple Zaps |
| Make.com | Make cloud | Visual scenarios with branches, loops and detailed data mapping | Per operation or credit, usually lower per step than Zapier | Ops teams comfortable with a visual builder |
| Custom code | Your cloud or servers | High volume, strict security, unusual systems or logic no platform handles well | Build effort up front, then hosting; no per-run platform fee | Developers, documented in your repository |
Summary for orientation only. Vendors change plans and pricing often; we check current terms against your volumes before recommending. Platform names are trademarks of their owners and do not imply a partnership. We also work with Microsoft Power Automate where Microsoft 365 is your standard.
Workflow blueprints
Illustrative blueprints, not client deployments. Each shows where the AI step sits, where rules check its work, and where a person stays involved.
Every enquiry reaches the right salesperson with context, and nothing goes cold.
1 · Trigger
Web form, email or WhatsApp enquiry
2 · AI step
Extract company, need and urgency
3 · System action
Enrich and de-duplicate in CRM
4 · Rule or check
Route by region, product and score
5 · System action
Create deal and task for owner
6 · Person
Owner follows up; reminder if idle 48h
Typical systems: HubSpot, Zoho, Salesforce, Pipedrive, Gmail or Outlook
Supplier invoices are read, matched and drafted into accounts without retyping.
1 · Trigger
Invoice arrives in a shared inbox
2 · AI step
Read PDF and extract fields
3 · Rule or check
Match to purchase order and supplier
4 · Rule or check
Confidence and totals check
5 · Person
Exceptions to review queue
6 · System action
Draft bill in accounting system
Typical systems: Gmail or Outlook, Google Drive or SharePoint, Tally, Zoho Books, QuickBooks, Xero, ERP
Orders, stock and shipping stay in sync across store, warehouse and customer updates.
1 · Trigger
New order in store
2 · System action
Reserve stock and create shipment
3 · Rule or check
Check address and fraud signals
4 · System action
Send tracking to customer
5 · Rule or check
Delay detected?
6 · AI step
Draft personalised delay message
Typical systems: Shopify, Magento, WooCommerce, shipping APIs, WhatsApp Business
A weekly summary arrives on Monday morning instead of someone building it by hand.
1 · Trigger
Schedule: Monday 7:00
2 · System action
Pull figures from CRM, store and ads
3 · Rule or check
Compare with last week and target
4 · AI step
Write plain-language summary of changes
5 · Person
Manager reviews before sending
6 · System action
Post to email or Slack
Typical systems: Google Sheets, GA4, CRM and store APIs, Slack or Teams
Agents open tickets that are already categorised, prioritised and summarised.
1 · Trigger
New ticket or email
2 · AI step
Classify topic, sentiment and language
3 · System action
Attach order and customer history
4 · Rule or check
Set priority and assign team
5 · AI step
Suggest reply from help articles
6 · Person
Agent edits and sends
Typical systems: Zendesk, Freshdesk, Gorgias, help-desk APIs
Intelligent document processing
Invoices, purchase orders, delivery notes, application forms and KYC documents all follow the same pipeline. The key design choice is the confidence threshold that decides what a person needs to see.
1. Intake
Email, upload, scan or API
2. Read
Text extraction and OCR for scans
3. Extract
AI pulls fields and line items
4. Validate
Totals, formats, PO and supplier match
5. Review
Low-confidence fields to a person
6. Post
Entry created, file archived
Threshold: 90% confidence
Fields above the threshold pass straight through. Anything below it, or any total that does not add up, stops for review. We set the threshold with your finance or ops lead and adjust it from real results.
Example document and scores are illustrative.
Result: held for review because one field is below threshold. A person checks one field, not the whole invoice.
Automation that keeps working
Building the happy path is quick. The real engineering is in what happens when an API is down, a supplier changes their invoice layout, or the person who built the Zap leaves.
A connected app is down or rate-limited
Automatic retries with back-off, a queue so nothing is lost, and an alert if it is still failing.
The same event fires twice
Duplicate checks so a customer is not emailed twice and an order is not created twice.
The AI is not sure
Confidence thresholds send the item to a review queue instead of guessing.
A form or file format changes
Input validation catches unexpected data and alerts the owner before bad records spread.
Volume suddenly spikes
Batching and limits keep platform costs and API quotas under control.
The person who built it leaves
Workflows live in your accounts, with a runbook, naming conventions and a named owner.
How we engage
We sit with the people who do the work, list the repetitive tasks, measure current effort and score each on the matrix above.
You receive
One workflow at a time, tested with real records in a safe copy before it touches live data, then switched on in stages.
You receive
We monitor runs, fix what breaks, tune AI steps and thresholds, and add the next item from the backlog when you are ready.
You receive
Need the workflow to decide its own next step? That is where an agent fits better than a fixed workflow.
Explore AI AgentsQuestions
Start with one process
Tell us what the task is, roughly how often it happens and which tools are involved. We will suggest whether it needs a simple workflow, an AI step or something more.