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Early access · Product validation

Vaayu Tech Solutions product

Know why your receivables are stuck.
Know what to do next.

Vaayu AR Resolution Copilot is an AI-assisted workflow that helps B2B finance teams understand why an overdue invoice is blocked, review the communication behind that reason, see who should act, and get a recommended next step.

Early access: we're validating this workflow with finance and accounts-receivable professionals, using synthetic demo data, before building toward general availability.

The problem

Most finance teams already know an invoice is overdue.

The harder, slower part is everything after that: figuring out why payment hasn't happened and what needs to happen for it to move.

  • Why is this payment actually blocked?
  • What did the customer say — and when?
  • Who on our side, or theirs, needs to act next?
  • Was a payment promised, and by when?
  • Is a document, PO, approval, or credit note missing?
  • What should happen next, and who owns it?

Vaayu AR Resolution Copilot doesn't replace a collections team or guarantee that an invoice gets paid. It's designed to help the people already doing this work spend less time reconstructing context and more time acting on it.

How it works

A simple, explainable workflow

A conceptual look at how Vaayu AR Resolution Copilot moves from an overdue invoice to a recommended next action.

  1. Overdue invoice

    An invoice passes its due date and enters the work queue.

  2. Customer communication

    Related emails and notes are gathered as context.

  3. Payment blocker identified

    The likely reason payment is stuck is surfaced for review.

  4. Supporting evidence

    The specific messages or documents behind that reason are shown.

  5. Responsible team

    A suggested owner — collections, sales, or billing — is proposed.

  6. Recommended next action

    A next step is suggested for a person to review and take.

Capabilities

Built around explainability and evidence

Every suggestion links back to the communication behind it, so a person can verify it before acting — here's what Vaayu AR Resolution Copilot currently supports.

  • Receivables work queue

    A single, prioritized view of overdue invoices instead of scattered spreadsheets and inboxes.

  • AI-assisted blocker identification

    Surfaces a likely reason an invoice is stuck, drawn from associated communication.

  • Communication evidence

    Links each suggestion back to the underlying email or note so a person can verify it.

  • Certainty & manual-review support

    Flags lower-confidence cases for human review rather than presenting every suggestion as fact.

  • Suggested responsible team

    Proposes who is best placed to act — for a person to confirm, not a system to enforce.

  • Recommended next action

    Offers a plain-language suggestion for what to do next, for a team member to decide on.

Receivables work queue — demoSynthetic demo data
AccountAmountStatusLikely blockerOwner
Acme Distribution Co.$18,40042 days overdueAwaiting signed POHigh confidenceSales
Northfield Retail Group$6,12012 days overduePayment promised by customerMedium confidenceCollections
Bluepeak Manufacturing$41,90065 days overdueDisputed invoice amountNeeds reviewBilling
Illustrative, synthetic demo interface. Company names, amounts, and statuses shown are fictional and are not derived from any real customer data.
Human review, always: Vaayu AR Resolution Copilot supports a finance team's judgment with evidence and a recommended next step — it does not take autonomous collection actions, execute payments, or change your ledger, and it does not guarantee accuracy or a reduction in DSO. It does not yet connect to a production ERP or mailbox, and today's demonstrations run on synthetic data.
Early access

We're looking for finance teams to help validate this

We're currently speaking with Finance Managers, Accounts Receivable leads, Collections Managers, Controllers, CFOs, and other finance professionals to review the working product and share feedback on the workflow.

  • No real customer or financial data is required for the demo.
  • The walkthrough runs entirely on synthetic, illustrative data.
  • Conversations typically take about 15 minutes.
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