Automates customer statement generation, risk analysis, PDF delivery, and secure archival.
The AI agent retrieves source data from accounting systems and CRMs, validates transactions, and computes running balances. It designs branded HTML statements, exports them as PDFs, emails them to customers, and archives copies to Google Drive. It monitors credit limits and risk, updates accounting records, and alerts the team about high-risk accounts.
End-to-end processing that covers data, documents, delivery, and risk.
Ingests data from accounting systems, CRMs, and trigger events.
Validates transactions and account details to ensure accuracy.
Calculates running balances and aging buckets (Current, 31-60, 61-90, 90+ days).
Generates branded HTML statements and converts them to PDFs.
Emails statements to customers via Gmail and archives copies to Google Drive.
Monitors credit limits and risk, and alerts the team on high-risk accounts.
This AI agent replaces fragmented, error-prone manual steps with a unified, auditable workflow. before → 1) Data silos require manual consolidation across systems. 2) Missing or mismatched transaction details cause statement errors. 3) Aging analysis is manual and slow. 4) Delivery deadlines slip, leading to late payments. 5) No real-time risk visibility or accounting updates. after → 1) All data ingested automatically with validation. 2) Aging and balances calculated accurately and consistently. 3) Statements generated, PDFs created, and emails sent on schedule. 4) Credit risk monitored in real time with alerts and dashboards. 5) Delivery, balances, and risk data synced to accounting platforms with an audit trail.
A simple 3-step flow that any user can follow.
Pull data from connected accounting and CRM sources and validate it for completeness and accuracy.
Create branded HTML statements, convert to PDF, email to customers, and archive copies in Drive.
Track aging, risk scores, and credit utilization; update accounting records and notify the team as needed.
A realistic month-end scenario.
At month-end, the AI agent ingests 350 customer transactions, validates data, generates 350 branded HTML statements, converts them to PDFs, emails them via Gmail, archives PDFs to Google Drive, updates QuickBooks with new balances and aging buckets, and flags 7 high-risk accounts for collections. The entire process completes in under 10 minutes, delivering accurate statements on time and providing risk alerts to the collections team.
Roles that gain time, accuracy, and visibility.
Requires fast, accurate statements and proactive risk alerts.
Needs audit-ready statements and seamless accounting sync.
Wants real-time aging insights and risk visibility.
Benefits from automated statement generation and delivery.
Seeks cash-flow visibility and risk monitoring at a glance.
Looks for scalable, multi-client statement processing.
Connects through key apps to automate the full flow.
Converts generated HTML statements into print-ready PDFs with preserved branding.
Emails statements to customers with PDF attachments and summaries.
Archives statements in organized folders with searchable filenames by account.
Notifies overdue and high-risk accounts to the team with risk metrics.
Syncs statement delivery, balances, and risk data for audit trails and reporting.
Pulls customer activity to trigger statements and update collections workflows.
Concrete scenarios across industries.
Practical questions about setup, security, and use.
The AI agent formats amounts in the customer’s currency, applies the correct symbol, and preserves currency-specific formatting across statements and PDFs. It can also include exchange rate context where needed for reconciliation. Data validation includes currency consistency checks to avoid cross-currency mismatches. You can configure default currency per customer and override for individual invoices. All currency handling is logged for audit purposes.
Yes. You can define aging bucket ranges (e.g., 0-15, 16-30, 31-60, 61-90, 90+ days) and adjust risk scoring weights based on payment history, aging distribution, and utilization. The system supports per-customer or per-segment rules and provides an audit trail of changes. Changes apply to new statements going forward while preserving historical calculations. You can export or review your configured model at any time.
The AI agent flags missing or invalid fields during validation and either halts generation or substitutes with approved defaults after administrator review. It logs the issue with context and notifies the appropriate channel for correction. It can request data re-submission from your ERP or CRM, or skip problematic accounts while continuing with the rest. You retain full visibility into what was skipped and why.
All data transfers use encryption in transit and at rest. Access is controlled by your existing IAM policies, and sensitive actions are auditable. The solution supports industry-standard compliance requirements relevant to financial data, including notification and retention policies. You can enable additional controls such as IP whitelisting and OAuth2-based access. Regular audit-ready logs are stored with timestamped activity.
Yes. Email templates and PDF branding can be customized to match your brand guidelines. You can specify sender details, subject lines, and personalized greetings. The AI agent supports per-segment templates and can automatically insert customer-specific data like balances and due dates. Test messages can be run before deployment to ensure consistency across your communications.
Getting started requires API credentials for your HTML-to-PDF service, Gmail OAuth2 or SMTP credentials, and access to Google Drive for archival. Optionally, provide credentials for your accounting software and CRM to enable full syncing and triggers. A starter template is provided to map your fields, defaults, and terms. After setup, you can run a dry test with sample data to verify PDFs, emails, and archiving before going live.
Yes. The AI agent is designed for batch processing and can generate, deliver, and archive statements for thousands of customers in a scheduled run. It handles parallel processing, rate limits, and error retries to ensure successful completion. You’ll receive an automated report showing success rates, failures, and any adjustments made during the run. This enables scalable, hands-off month-end processing.
Automates customer statement generation, risk analysis, PDF delivery, and secure archival.
