Keeps customer context visible
Combines aging, statements, payment promises, disputes, and recent communication before follow-up.
AI Accounts Receivable Automation
Help finance teams track overdue invoices, prepare customer statements, draft follow-ups, and escalate exceptions faster.
Business impact
- Pre-due follow-up coverage raised from roughly 30% to 90%+ of accounts
- Reminder and statement prep time cut from a full day to under an hour
- Overdue balances tracked daily instead of on a weekly or monthly cycle
- Dispute resolution time reduced from 2-3 weeks to under 7 days
The problem
AR teams spend too much time preparing customer statements, chasing overdue invoices, and deciding which follow-ups need escalation.
Accounts receivable automation is most useful when it gives finance one clear view of customer context: invoices, aging, promises, disputes, and the last follow-up. That context decides whether the next step is a gentle reminder, a statement resend, or a manager escalation.
The first version should help the team act consistently without losing judgment. AI prepares the queue and drafts the message; finance approves the communication and keeps the customer relationship intact.
- Aging data, customer notes, promises to pay, and dispute context are scattered.
- Follow-up tone and timing need human judgment.
- Customer communication often happens across email and WhatsApp.
How AI helps
Protects follow-up rhythm
Flags accounts that need reminders before due dates slip or old promises go stale.
Prepares the next action
Drafts reminders, statement notes, and escalation summaries for finance to approve.
What we build
AR follow-up queue
A daily list of customers due soon, overdue, disputed, or waiting on an internal owner.
Statement workflow
Customer statement summaries prepared from Tally, Excel, CRM, and finance exports.
Approved message drafts
Email or WhatsApp drafts that finance reviews before sending.
Escalation and response logs
A record of who was followed up, when, what they said, and what happens next.
Example workflow
Consolidate the receivables ledger
Pull invoices, statements, aging, dispute notes, and payment history from Tally, Excel, CRM, and email into one customer-level view.
Segment accounts by lifecycle stage
Group customers by aging bucket, dispute status, credit risk, and value to decide whether the next step is a statement, a dispute response, or a collections push.
Prepare statements, dispute responses, and a collections plan
Draft customer statements, dispute resolution notes, and an account-level collections strategy covering self-serve, standard, or escalated handling.
Approve, execute, and track resolution
Let finance approve outgoing communication, then track statement acknowledgment, dispute closure, and the effect on days sales outstanding.
What we need and what you get
Keep the first version practical: connect the sources, show the follow-up queue, and prepare drafts for approval.
Inputs
- Aging reports
- Invoices
- Customer statements
- Email threads
- WhatsApp notes
Outputs
- Follow-up drafts
- Escalation queue
- Customer statement
- Collection summary
Typical systems we connect around
- Tally
- Excel
- CRM
Controls before anything moves
AI prepares the work. Your team keeps approval, evidence, access, and change history visible.
- Human approval for sensitive actions
- Source links and evidence for generated outputs
- Audit logs for inputs, outputs, approvals, and changes
- Role-aware access to documents and systems
- Model flexibility based on privacy, cost, latency, and quality
FAQ
Does this cover more than payment reminders?
Yes. This workflow spans the full receivables lifecycle, customer statements, invoice re-sends, dispute handling, and collections strategy, not just the reminder cadence. For the narrower reminder and nudge workflow, see Payment Follow-up Automation.
How does it handle disputes?
Disputed invoices are flagged and held out of standard reminder flows. AI drafts a dispute summary and suggested response using order, delivery, and communication history, and finance decides how to resolve it.
Can it help decide a collections strategy across the whole portfolio?
Yes. Accounts are segmented by aging bucket, dispute status, credit risk, and value so finance can apply a consistent strategy, self-serve statement, standard reminder, or manager escalation, at the account level.
What should we measure?
Track days sales outstanding, aging mix, dispute resolution time, statement accuracy, and the share of receivables handled without manual intervention.
Make this workflow ready for real use.
We map the current process, build a working version, and keep approvals, evidence, and access controls where they belong.