For controllers, AP/AR teams, and FP&A
Score every AI agent in your close cycle.
AgentScore reads ERP-adjacent data and scores reconciliation, invoice-triage, and FP&A agents. The dashboard identifies which agents close clean and which create rework in the next reconciliation.
The agents
What AI in a finance-ops team typically looks like.
The same eight factors apply to reconciliation, AP/AR triage, and FP&A drafting, weighted for finance operations.
Reconciliation bot
Matches transactions across bank, AR, AP, and the GL, flags exceptions, and defers to accounting overrides.
Invoice triage
Reads inbound invoices, classifies them, and routes them for approval against the approval matrix.
Anomaly scanner
Monitors GL activity for unusual patterns and surfaces items for analyst review.
FP&A copilot
Drafts variance commentary and first-cut budget-versus-actuals for analyst sign-off.
Collections assistant
Drafts dunning emails, recommends call priorities, and tracks customer responses.
The signal
What we read from your ERP, GL, and AR/AP feeds.
AgentScore connects through OAuth or CSV and reads operational metadata for accounts, vendors, and timing rather than transaction-level personal data.
Signals read
Closed-on-time rate
Agent-owned close tasks finished inside the close calendar.
Exception-discovery accuracy
Agent-flagged anomalies confirmed by an analyst.
Analyst override rate
Frequency of analyst overrides of agent output.
Days sales outstanding (DSO)
DSO on agent-owned accounts versus baseline accounts.
Manual-touch rate
Agent-handled documents requiring human follow-up.
Mid-market controller team · 4 analysts · 2 close agents
1.3 days
earlier month-end close
14%
override rate, two accounts
After two account-mapping rules were tightened, the override rate fell back under target with the time savings held and a clean audit trail.
Governance
SOC 2 in progress
Type II audit under way. Interim report on request.
Read-only data access
Write access to a CRM, jobs platform, or call data is never requested.
Algorithm-only scoring
Every score is computed by the algorithm. Manual overrides do not exist.
Anonymized at ingest
Identifiers stripped before aggregate analytics. No training on identified rows.
Score the agents in your close cycle.
Access is read-only and limited to operational metadata, with audit-friendly logs.