Manual digging for price spikes slowed 9,000 monthly transactions. Now, an AI agent codes expenses while accountants review edge cases.
A fast-growing AI startup manages global operations, hundreds of vendors, and up to 9,000 monthly transactions with a finance team of ten and a general ledger team of one.
Rapid growth brought a massive influx of vendor subscriptions, but traditional software required manual digging to spot unusual invoices or sudden...
“Each member of our team has an outsized impact due to our focus on using high-leverage tools like Ramp.”
Perplexity is a technology company that specializes in artificial intelligence and machine learning solutions.
Spend management platform with corporate cards and accounting automation.
Perplexity's Expense management is part of this use case:
Related implementations across industries and use cases
Manual vendor reviews took days, masking duplicate subscriptions. Now, an AI agent verifies SOC 2 compliance and flags upcoming renewals.
Onboarding across four platforms required weeks of shadowing. Now, an AI assistant instantly answers Slack queries so new hires self-serve.
Manual price benchmarking consumed hours per case. AI agents now analyze costs and draft negotiation emails in seconds.
Manual multi-line coding bottlenecked a two-person firm. Now, an AI agent auto-splits line items and assigns accounts for human review.
A 16-person team hand-keyed hundreds of daily invoices. AI now extracts and routes data, freeing staff to resolve exceptions.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.
Manual spot-checks missed duplicates. AI now audits 100% of spend, catching $20k in errors and reclaiming 160 hours for analysis.
Manual digging for price spikes slowed 9,000 monthly transactions. Now, an AI agent codes expenses while accountants review edge cases.
A fast-growing AI startup manages global operations, hundreds of vendors, and up to 9,000 monthly transactions with a finance team of ten and a general ledger team of one.
Rapid growth brought a massive influx of vendor subscriptions, but traditional software required manual digging to spot unusual invoices or sudden...
“Each member of our team has an outsized impact due to our focus on using high-leverage tools like Ramp.”
Perplexity is a technology company that specializes in artificial intelligence and machine learning solutions.
Spend management platform with corporate cards and accounting automation.
Perplexity's Expense management is part of this use case:
Related implementations across industries and use cases
Manual vendor reviews took days, masking duplicate subscriptions. Now, an AI agent verifies SOC 2 compliance and flags upcoming renewals.
Onboarding across four platforms required weeks of shadowing. Now, an AI assistant instantly answers Slack queries so new hires self-serve.
Manual price benchmarking consumed hours per case. AI agents now analyze costs and draft negotiation emails in seconds.
Manual multi-line coding bottlenecked a two-person firm. Now, an AI agent auto-splits line items and assigns accounts for human review.
A 16-person team hand-keyed hundreds of daily invoices. AI now extracts and routes data, freeing staff to resolve exceptions.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.
Manual spot-checks missed duplicates. AI now audits 100% of spend, catching $20k in errors and reclaiming 160 hours for analysis.