Inbox and ticket triage
Classify, prioritise and route incoming email and tickets, with draft replies ready for review.
AI automation · operations
Automate the busywork with AI and keep people on the decisions
We connect AI to your inbox, documents, CRM and ERP so routine work moves on its own, and your team only steps in where judgement is needed.
In short
What is AI automation?
AI automation uses language models and machine learning to complete tasks that used to need a person reading, deciding and typing: sorting emails, extracting invoice data, drafting replies or updating records. Unlike classic RPA, it copes with messy, unstructured inputs, and a person can approve any step before it runs.
What we automate
High-volume workflows with a fast payback
Document processing
Pull data from invoices, purchase orders, contracts and forms straight into your systems.
Finance operations
Match payments, reconcile accounts and flag exceptions instead of checking every line by hand.
Sales operations
Enrich leads, log activity to your CRM and generate follow-ups and proposals from templates.
Order and inventory sync
Keep stores, NetSuite and warehouses aligned automatically, with alerts when something breaks.
Reporting
Weekly summaries written from your data, sent to the people who need them.
Our approach
Automation you can trust from day one
- Step 1
Find the hours
We measure where your team's time goes and rank workflows by volume, risk and payback.
- Step 2
Design with approvals
Every automation has clear inputs, outputs and the human checkpoints you want.
- Step 3
Build and integrate
We connect to your existing tools by API, so nobody has to change how they work.
- Step 4
Monitor and improve
Dashboards show volume, accuracy and time saved; we tune what underperforms.
Choosing a tool
AI automation vs RPA vs low-code
| Criteria | RPA | Low-code | AI automation |
|---|---|---|---|
| Unstructured inputs (emails, PDFs) | Poor | Limited | Strong |
| Breaks when screens change | Often | Sometimes | Rarely (API-based) |
| Handles judgement calls | No | No | Yes, with approval |
| Best for | Stable, repetitive clicks | Simple internal apps | Messy, high-volume work |
FAQ
AI automation questions
Which workflow should we automate first?
Pick something high in volume, low in risk and well understood, such as ticket triage or invoice data entry. It pays back quickly and builds trust for the next one.
Do we need to replace our current software?
No. We integrate with the tools you already use through their APIs, including helpdesks, CRMs, NetSuite, Shopify, Magento, Google Workspace and Microsoft 365.
How do you keep automated decisions accurate?
We test against real historical cases, set confidence thresholds, route uncertain items to a person, and monitor accuracy after launch.
Is our data used to train AI models?
No. We use providers and settings that do not train on your data, and can deploy inside your own cloud environment.
Read more
Guides on AI automation
AI automation
AI Automation vs RPA vs Low-Code: Which Should You Use?
Compare AI automation, robotic process automation and low-code platforms: what each does best, their limits, and how to choose for your workflows.
2 min read
AI automation
AI Chatbot and Agent Development Cost: A Complete Guide
What AI chatbots and agents cost to build and run, the factors that move the price, and the use cases that pay back fastest.
2 min read
AI automation
AI Customer Support Automation: Build a 24/7 Support Agent
How to automate customer support with AI: what to automate first, how agents hand off to humans, and what it costs to run support around the clock.
3 min read
Give us one workflow. We'll show you the hours it hides.
A short call is enough to estimate what AI automation could take off your team's plate, and what it would take to build.