Accountants manually reviewed nearly every transaction. Now, AI categorizes spend, shifting staff to exception-based oversight.
A full-service finance and accounting firm providing fractional CFO services to over 400 venture-backed startups.
A fragmented financial stack forced the firm to scale headcount linearly to manage manual data transfers between isolated systems for ledgers, bill...
“It wasn't complexity. It was volume and friction. Manually reviewing transactions in the month-end close, coding inconsistencies, chasing down receipts.”
Fractional CFO and strategic accounting services for venture-backed startups.
Corporate cards, expense management, and business banking platform.
Related implementations across industries and use cases
Auditors spent 2-4 hours per engagement manually inputting bank deposits. Automated extraction frees them to focus on high-risk areas.
Staff manually verified printed financials with red pencils and calculators. Now, AI extracts PDF data and cross-checks footings.
Finance teams managed 1.5M transactions via scattered spreadsheets. Now, AI agents extract data and route journal entries in seconds.
Auditors spent 2-4 hours per engagement manually inputting bank deposits. Automated extraction frees them to focus on high-risk areas.
Manual ticking and tying bottlenecked audits. Now, data extraction tools instantly cross-reference documents, freeing staff for analysis.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Auditors lost hours manually recalculating financial statements. Now, AI verifies math and consistency so teams can analyze exceptions.
Finance teams managed 1.5M transactions via scattered spreadsheets. Now, AI agents extract data and route journal entries in seconds.
Retrieving non-standard data took days of back-office requests. Executives now query AI in plain English for answers in seconds.
Accountants manually reviewed nearly every transaction. Now, AI categorizes spend, shifting staff to exception-based oversight.
A full-service finance and accounting firm providing fractional CFO services to over 400 venture-backed startups.
A fragmented financial stack forced the firm to scale headcount linearly to manage manual data transfers between isolated systems for ledgers, bill...
“It wasn't complexity. It was volume and friction. Manually reviewing transactions in the month-end close, coding inconsistencies, chasing down receipts.”
Fractional CFO and strategic accounting services for venture-backed startups.
Corporate cards, expense management, and business banking platform.
Related implementations across industries and use cases
Auditors spent 2-4 hours per engagement manually inputting bank deposits. Automated extraction frees them to focus on high-risk areas.
Staff manually verified printed financials with red pencils and calculators. Now, AI extracts PDF data and cross-checks footings.
Finance teams managed 1.5M transactions via scattered spreadsheets. Now, AI agents extract data and route journal entries in seconds.
Auditors spent 2-4 hours per engagement manually inputting bank deposits. Automated extraction frees them to focus on high-risk areas.
Manual ticking and tying bottlenecked audits. Now, data extraction tools instantly cross-reference documents, freeing staff for analysis.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Auditors lost hours manually recalculating financial statements. Now, AI verifies math and consistency so teams can analyze exceptions.
Finance teams managed 1.5M transactions via scattered spreadsheets. Now, AI agents extract data and route journal entries in seconds.
Retrieving non-standard data took days of back-office requests. Executives now query AI in plain English for answers in seconds.