Accounts payable · Production

Ramp's Accounting Agent automates transaction coding, accruals, and real-time ERP reconciliation

The problem

Accounting teams spend a full workday each month manually coding hundreds of transactions, while rules-based automation breaks on spend permutations it was never configured to handle — a hotel stay for a client dinner miscodes under a general travel rule — leaving teams chasing missing details at month-end close.

First attempt

Rules-based 'automation' tools failed because they could not anticipate every permutation of spend, breaking whenever a familiar vendor appeared in an unexpected context and forcing teams to keep rewriting rules and manually re-coding transactions.

Workflow diagram · grounded in source
1
Transaction triggers auto-coding
trigger
“Every transaction is auto-coded the moment it happens”
2
AI codes spend with context and history
ai_action
“Ramp codes spend automatically using transaction context and your team's historical patterns, so you're not chasing employees for details or re-coding their submissions”
3
Agent pre-reviews before accountant logs in
ai_action
“It checks submission completeness, coding certainty, and vendor history automatically”
4
Routine spend auto-syncs to accounting system
output
“Low-risk transactions — a $17 Uber ride, for example — now post to your accounting system automatically. Ramp codes the expense, runs your required checks, and syncs it with a full audit trail”
5
Accountant reviews flagged items
human_review
“You review only what matters, with the context needed to decide what to sync, fix, or flag”
6
Month-end accruals for stragglers
ai_action
“Ramp accrues what isn't ready to sync so the spend lands in the right period, then reverses the accrual next month”
7
Real-time ERP reconciliation
integration
“Ramp also reconciles with your ERP in real time, flagging any missing, duplicate, or mismatched transactions”
8
Learns from corrections
feedback_loop
“Ramp learns from the change and the explanation, so the same issues don't keep coming back for review”
Reported outcome

Teams using Ramp's Accounting Agent see 3.5x more transactions coded automatically compared to legacy tools, 98% accuracy on auto-synced transactions, 70% fewer corrections in the first month, and a 3x faster monthly close.

Reported metrics
Transactions coded automatically vs legacy tools3.5x more
Corrections reduction in first month70% fewer
Monthly close speed improvement3x faster
Customer auto-sync trust rate98%
Show all 5 reported metrics
transactions coded automatically vs legacy tools3.5x more
corrections reduction in first month70% fewer
monthly close speed improvement3x faster
customer auto-sync trust rate98%
monthly transactions manually coded (baseline)320-plus
Reported stack
RampERP
Source
https://ramp.com/blog/accounting-agent-launch
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Teams using Ramp's Accounting Agent see 3.5x more transactions coded automatically compared to legacy tools, 98% accuracy on auto-synced transactions, 70% fewer corrections in the first month, and a 3x faster monthly…

What tools did this team use?

Ramp, ERP.

What results were reported?

Transactions coded automatically vs legacy tools: 3.5x more; Corrections reduction in first month: 70% fewer; Monthly close speed improvement: 3x faster; Customer auto-sync trust rate: 98% (source-reported, not independently verified).

What failed first in this deployment?

Rules-based 'automation' tools failed because they could not anticipate every permutation of spend, breaking whenever a familiar vendor appeared in an unexpected context and forcing teams to keep rewriting rules and m…

How is this accounts payable AI workflow structured?

Transaction triggers auto-coding → AI codes spend with context and history → Agent pre-reviews before accountant logs in → Routine spend auto-syncs to accounting system → Accountant reviews flagged items → Month-end accruals for stragglers → Real-time ERP reconciliation → Learns from corrections.

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