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DataHive
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DH

DataHive

Analytics

DataHive eliminated 30 hours/month of manual bookkeeping with AI

30h

Saved monthly

99.2%

Invoice accuracy

0

Late payments

$22K

Annual savings

A data analytics firm automated invoice processing, expense tracking, and financial reporting, giving the finance team their weekends back.

The Challenge

DataHive's finance team consisted of one senior accountant and a part-time bookkeeper. With 200+ invoices per month, expense reports from 35 employees, and quarterly audits, month-end close was taking 5 full days of focused work.
Manual data entry errors led to reconciliation nightmares, and the accountant was spending evenings and weekends catching up during peak periods. They couldn't justify hiring another full-time finance person for a company of their size.

The Solution

DataHive hired a Botonom Bookkeeper agent with Data Extraction for invoice parsing and Email Integration for vendor communications. The agent handles:
  • Invoice scanning and data extraction from PDFs
  • Automatic categorization and GL coding
  • Expense report processing and policy compliance checks
  • Vendor payment reminders and confirmations
  • Monthly financial summary reports
The agent integrates with their accounting software via API and maintains an audit trail for every transaction it processes.

AI Employees Hired

AI

Bookkeeper

Invoice & Expense Processing

AI

Executive Secretary

Vendor Communication

Timeline: 2 months

The Results

Month-end close went from 5 days to 1 day. Invoice processing accuracy hit 99.2%, eliminating almost all reconciliation issues.
The finance team now saves 30+ hours per month on manual data entry and reconciliation. Late payments dropped to zero thanks to automated vendor payment tracking.
DataHive estimates annual savings of $22K in reduced overtime and avoided part-time hiring, while getting higher accuracy and faster reporting than before.

Our AI bookkeeper processes invoices faster than our accountant can review them. Month-end close went from 5 days to 1.

T

Tom Eriksson

CFO, DataHive

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