It happens every day
Enquiries, orders, forms or tickets arrive in volume and are handled the same way each time.
Workflow automation services for small and mid-sized businesses. We build AI workflows around one task at a time, connect them to the systems you already use, and send uncertain cases to a person.
The best first workflow is frequent, follows a recognisable pattern, and currently depends on someone copying, checking or routing information by hand.
Enquiries, orders, forms or tickets arrive in volume and are handled the same way each time.
Information is read in one place and typed into another: email to CRM, PDF to spreadsheet.
Most cases are routine, a few need judgement. Those few go to a person.
Illustrative examples. Scope and feasibility are assessed before implementation.
An intake workflow reads enquiry emails and web forms, creates or updates the CRM record, assigns an owner and flags missing details before follow-up.
A document workflow extracts the required fields from orders, invoices or applications, checks completeness and queues anything ambiguous for a person.
A support assistant drafts replies from your help content, cites the source, and routes anything it cannot answer to the right person.
A workflow matches incoming documents to records, prepares exceptions for review and drafts reminders for a person to approve.
Document how the work happens today and how long it takes.
You receive: a workflow map and a baseline to measure against.
Build the automation around the specific task.
You receive: a working workflow tested against agreed acceptance criteria.
Make results land where your team works.
You receive: an integrated workflow with errors logged and handled.
Support the workflow after it goes live.
You receive: a review process with regular findings and fixes.
Tools such as Zapier, Make or n8n suit simple, rule-based steps your team can maintain. A done-for-you AI automation service suits workflows that read unstructured content, need judgement on exceptions, or touch several systems.
Read the guide: AI workflow automation, tools or done for you? ↗
Information arrives in the CRM, spreadsheet or document already filled in and checked.
Routine enquiries and requests are sorted and drafted as they arrive.
Unusual cases are flagged with the reason, instead of being missed.
What the workflow did and what a person changed is logged for review.
Every automation project starts with a written agreement on what we can see and do.
Designing, building and supporting workflows where AI reads, extracts, drafts or routes information, connected to your existing systems, with people handling the exceptions.
Traditional automation follows fixed rules on structured data. AI workflow automation can also handle emails, documents and free text, which is where most manual work in small businesses sits.
The aim is to remove retyping and routine checking, so your team spends time on the cases that need judgement. Every workflow keeps people on the exceptions.
Uncertain or incomplete cases go to a review queue for a named person. The rules for what gets flagged are agreed before launch.
The pilot timeline is set in the proposal after the AI Opportunity Review.
Yes, where fixed rules are the better answer. The review recommends the simplest approach that works.
Tell us the process you want to improve. We’ll help define the automation and what it needs.
Book an AI Opportunity Review