Data entry is the most automatable task in any accounting practice. Estimate how much an AI data-entry agent saves your firm per year — honestly, with every multiplier shown.
Estimated annual impact
$35,112
Net savings per year, after Squidgy platform cost.
Hours saved / yr
1,020
Cost saved / yr
$35,700
Squidgy cost / yr
$588
Payback
Immediate
12 hrs/wk × 2 people × 50 weeks = 1,200 total hours/yr.
Of those, ~85% of data entry & record-keeping is realistically automatable today → 1,020 hrs saved.
At $35/hr fully loaded, that's $35,700/yr in cost saved.
Squidgy platform cost is estimated from ~4,080 conversations/yr (assumed 4/hr saved). Free under 1,000/yr; $49/mo base above that.
Numbers are estimates. Real outcomes vary by workflow complexity, integration depth, and how aggressively you let the agent act. We bias conservative.
Data entry has the highest automation rate of any back-office task — around 85% — because it's structurally suited to AI: read a document, extract values, put them in the right field. There's no judgement involved, just accuracy and speed.
Practices that automate data entry don't just cut costs — they redirect qualified staff toward advisory work that clients actually value and that builds the practice's revenue per partner.
How many hours per week do your team members spend entering data from invoices, receipts, statements, and other documents?
Use the fully-loaded cost of the team doing this work — bookkeeper to junior accountant rate.
See annual hours freed, cost saved, net savings after Squidgy cost, and payback period.
Brief Squidgy's Ace agent on your document types and accounting systems. Most agents go live in a day.
Invoice processing, receipt categorisation, bank statement reconciliation, expense report extraction, and filing document data into practice management systems. Anything where a human reads a document and types values into a system.
Around 85% — data entry has the highest automation rate of any back-office task because it's high-volume, highly repetitive, and involves structured inputs. Complex judgement calls and client advisory stays human.
Squidgy agents process data in transit and don't persist client documents. You control what the agent has access to. For practices with strict data residency requirements, ask about deployment options.
Squidgy agents can be configured with tools that connect to Xero, QuickBooks, FreeAgent, and most practice management systems via their APIs. Ace (the build agent) sets this up during onboarding.
Most accounting practices have a data-entry agent configured and running in one to two days. The biggest time investment is defining what documents to process and how to categorise edge cases.