What we automate
Good candidates are tasks that happen often, follow a recognisable pattern and currently involve moving information from one place to another. Typical examples:
- Sorting and drafting replies to incoming email and web enquiries
- Turning enquiry details into a first-draft quote or proposal
- Reading invoices, delivery notes and forms, and entering the data where it belongs
- Booking, reminder and follow-up sequences
- Weekly reports pulled together from several systems
- Keeping your CRM, spreadsheet and accounting software in step
AI where it helps, plain automation where it doesn’t
Not every step needs a language model. Moving a paid order into your accounts is a job for a simple, predictable integration. Reading a messy customer email and working out what they want is where AI earns its keep. We combine the two, so you get the flexibility of AI without paying for it, or risking its mistakes, on steps that don’t need it.
If you are not sure where to begin, our guide to getting started with AI in a small business walks through how we pick a first project.
Safe by design
Automation should reduce risk, not add it. Every workflow we build includes:
- Human approval steps for anything customer-facing or financial
- Clear limits on what each agent can read and change
- Logs you can check, so you always know what happened and why
- Providers and settings that don’t train on your data, chosen with UK GDPR in mind
- Monitoring and alerts if something fails or starts behaving unusually
How a project runs
We start by mapping one process with the people who do it today and measuring how long it takes. Then we build a small pilot, run it alongside your team, and only switch over once it is reliably saving time. From there it is easy to extend to the next process, and our care plans keep everything monitored and up to date.