Data entry automation: type it once, not three times
Re-keying is one of the biggest hidden costs in a small business. A new customer goes into the CRM, then the job system, then the accounts package. Each copy is a chance for a typo, and each one takes time nobody budgeted for.
Sound familiar?
- The same customer or job details live in several systems that don't talk to each other
- Someone exports a spreadsheet from one tool and pastes it into another
- Errors creep in between systems and take time to find
- You're thinking about hiring an administrator mainly to keep up with data entry
What we build
- Connections between the tools you already use, rather than replacing them
- AI to tidy up messy input such as free-text emails, notes and web forms before it's passed on
- Checks that flag duplicates and mismatches before they spread
- A simple log so you can see what moved where, and when
Where it fits
Data entry automation means details are captured once, then copied, checked and passed on by software instead of a person. For most small businesses that starts with connecting the systems you already have, so a new customer or job flows from one to the next on its own.
AI helps where the input is messy: an enquiry written as a free-text email, notes from a site visit, or a spreadsheet laid out differently every month. It's often a better answer than outsourcing data entry, because the work stays inside your business and the errors that creep in with every retype go away.
What it can look like
A service business taking enquiries by web form and email. Each enquiry is cleaned up, checked against existing customers and created once in the CRM and job system, with the details a person would otherwise have retyped.
An illustrative scenario showing the shape of the work, not a specific client.
When it isn't an AI job
A lot of re-entry problems are solved by a straightforward integration with no AI involved. That's often the first thing we'll recommend, because it's cheaper and more predictable.
What it costs
We don't publish prices, because every job is different. Before any build you get a one-page cost check for your data entry: what it costs you now, what you'd save once your team is only checking the work, and what it would cost to run for the next 12 to 24 months, including if AI prices rise. If it doesn't pay back, we'll tell you not to build it.
How the cost check works →Questions we get asked
Is this the same as outsourcing data entry?
No. Outsourcing moves the typing to someone else. Automating it means the typing doesn't need doing at all, and your data stays in your own systems.
Can you automate data entry from Excel spreadsheets?
Yes. Spreadsheets are one of the most common sources we work with. If the layout changes from month to month, AI can map the columns before the data moves on. If it never changes, a simple rule is cheaper, and that's what we'll use.
Do we need to replace our existing software?
Almost never. We connect the tools you already pay for. Replacing systems is expensive and disruptive, and it's rarely the fix.
What happens when the data doesn't match?
The system flags duplicates and mismatches for a person to sort out instead of guessing. You also get a simple log of what moved where.
Talk to us about data entry.
Describe how it works today and what's frustrating about it. We'll come back with an honest view on whether it's worth automating, and how.