AI workflow automation
Take the repetitive steps out of your processes
We automate the reading, sorting, checking and re-keying that slow your team down, using AI where it adds something and simple rules where they are enough. People stay in charge of the decisions that matter.
How it fits together
An automated workflow, with the exceptions handled
Input
Request arrives
Email, form, document or system event
AI step
Understand it
Classify the request, extract the details
Rule / check
Validate
Required fields, limits, duplicates
Human approval
Exceptions to a person
With the reason and the data attached
Output
Act and record
Update the system of record, notify, log
Clean cases flow straight through. Anything unusual is routed to a person, never guessed at.
What to automate
Processes that are good candidates
The best candidates are frequent, follow a recognisable pattern and currently depend on someone reading and re-typing.
- Supplier invoices, purchase orders and delivery notes
- Customer enquiries, orders and support requests arriving by email or form
- Applications, claims and onboarding documents
- Data moved between the CRM, ERP, spreadsheets and email
- Recurring reports pulled together from several systems
AI or rules?
Not every automation needs AI
Rules are enough when
The input is structured and predictable: a form with fixed fields, a system event, a clear threshold. Rules are cheaper, faster and fully predictable, so we use them.
AI earns its place when
The input is unstructured or varied: free-text emails, PDFs in many layouts, requests that need judgement to classify. AI handles the reading; rules still do the checking.
Integration
Connected to the applications you already use
Automations work inside your existing tools rather than adding another one for your team to learn. We connect through APIs, integration platforms or controlled exports, confirmed during discovery.
- Email and shared inboxes
- CRM and ERP systems
- Document storage and shared drives
- Spreadsheets and databases
- Messaging and notification tools
Errors, exceptions and approvals
Built around what goes wrong
Confidence thresholds
When the AI is unsure, the item goes to a person instead of moving on with a guess.
Approval steps
You decide which actions need sign-off, such as payments above a limit or messages to customers.
Retries and alerts
If a connected system is down, the workflow retries and alerts someone rather than failing silently.
Full audit trail
Each item records its input, what was decided, by whom or by what rule, and the result.
Measuring outcomes
Agree what success means before building
We set a baseline during discovery and measure the same things after launch, so results are based on your data, not on estimates.
- Time from arrival to completion
- Share of items handled without manual re-keying
- Exception and error rates
- Staff time spent on the process each week
Questions
Common questions
Will this replace people on my team?
What if our process is different every time?
Which automation tools do you use?
Which process costs your team the most time?
Tell us about the workflow, the systems involved and what a good outcome looks like. If AI is the right tool, we will show you where to start. If it is not, we will tell you.