AI Agents for Finance.
Finance teams operate in a high-stakes, high-compliance environment — which is exactly why automation needs to be precise, auditable, and built to work within your risk posture, not around it. We build agents that handle the structured, repetitive work so your analysts focus on judgment calls.
Audit posture: Every agent action is logged with timestamp, input, output, and decision rationale — making agent workflows auditable by design. We architect around your existing controls: SOC 2, SOX, AML, and relevant regulatory frameworks. No agent takes irreversible financial action without a human approval gate in the workflow.
Four structured workflows where agents beat spreadsheets.
High-volume, rules-based, time-sensitive — exactly where automation wins.
Automated reconciliation agent
The problemMonth-end reconciliation in mid-market finance teams still involves exporting CSVs, pasting into spreadsheets, and manually matching transactions across systems. It takes days, creates errors, and blocks reporting.
The agentThe agent pulls data from your accounting system, bank feeds, and payment processors via API, matches transactions using configurable rules, flags unmatched items with context, and generates a reconciliation report ready for review. What took 3 days takes 3 hours — and the agent runs on schedule, not when someone remembers.
Regulatory monitoring agent
The problemCompliance teams spend enormous time manually monitoring transaction patterns for AML flags, reviewing alerts from rules-based systems with high false-positive rates, and filing SARs under time pressure.
The agentAn agent layer sits above your existing transaction monitoring system. It re-scores alerts using contextual reasoning, de-prioritizes clear false positives with documented rationale, and surfaces genuinely suspicious patterns with a pre-drafted narrative for analyst review. The analyst reviews conclusions, not raw data.
Automated client report generation
The problemWealth managers and fund administrators spend 20–40% of their time producing periodic client reports — pulling data, formatting it, writing commentary, and sending it. It's high-effort, low-differentiation work.
The agentThe agent pulls portfolio data, benchmark comparisons, and transaction history from your custodian or portfolio management system, generates a structured report in your house format, and drafts the portfolio commentary based on the period's performance. Advisor reviews, personalizes, and sends. Production time drops from hours to minutes.
KYC document collection agent
The problemClient onboarding at most financial firms is a back-and-forth email chain collecting documents, following up on missing items, and manually checking completion. It delays account opening and frustrates clients.
The agentThe agent manages the document collection workflow: sends the initial checklist, tracks what's been received, sends targeted follow-ups for specific missing items (not generic "please complete your application" emails), validates document quality on receipt, and routes complete files to the compliance queue automatically.
What the agent layer changes in a finance operation.
Month-end close time compresses when reconciliation runs automatically on schedule rather than when a team member has bandwidth to start.
Alert quality in compliance workflows improves when an agent filters and contextualizes before human analysts engage.
Client onboarding cycle shortens when document follow-up is targeted and automated rather than batched and generic.
Advisor and analyst time shifts to high-value client interaction when reporting and monitoring run without manual assembly.