AI Collections Agent
An agent that follows up on overdue invoices so your team handles the hard ones.
We build AI collections agents that prioritise overdue accounts, send tone-appropriate reminders on WhatsApp and email, log promises to pay, share invoice copies and escalate disputes to your team with context.
- Prioritised follow-up
- WhatsApp and email
- Promise tracking
Free 30-minute call with a senior specialist. Reply within one business day. Based in Jaipur, working with businesses across India.
- Discovery callFree 30 minutes with a senior specialist
- Scoped first phaseWritten scope, timeline and fixed price
- Build with weekly demosWorking software you can see every week
- Launch and supportGo-live with your team ready, then ongoing support
What is an AI collections agent?
An AI collections agent reads your receivables, decides who to remind and when, sends approved reminders on WhatsApp or email, captures promises to pay and escalates disputes to a person. Stack18 builds it with approval rules, tone controls and a full audit trail, linked to your accounts.
Last reviewed 31 October 2026 by the Stack18 delivery team in Jaipur. Security and AI governance · Pricing · About Stack18
| What it covers | Prioritisation; Reminders; Promises and payments; Disputes and escalation; Governance. |
|---|---|
| Typical first step | Discovery Sprint: 2 weeks; fixed price. |
| Ready-made route | FinOps OS Launch: launch edition, live in weeks; from ₹2.4L, one-time, no per-user fees. |
| Long-term option | Transformation Pod: 12–36 months; annual contract. |
| Measured by | Days sales outstanding; Overdue over 60 days; Promise-keeping rate; Hours spent chasing. Each against an agreed baseline. |
| Governance | Human approval at 5 governance gates, every AI agent action logged, NDA available on request. |
| Delivery team | Based in Jaipur, India. A senior specialist replies within one business day. |
You need this when…
Tap the ones that apply to you.
AI Collections Agent, end to end.
Each capability is delivered by the same team on the Agentic SDLC, with your approval at every critical step.
Prioritisation
Overdue invoices are ranked by ageing, risk and customer history, so effort goes to the accounts that matter most.
- Ageing and risk ranking
- Customer history
- Promise status
Reminders
Approved WhatsApp and email templates with tone and schedule rules send consistent, polite reminders with invoice copies.
- WhatsApp and email templates
- Tone and schedule rules
- Invoice copy sharing
Promises and payments
Promises to pay are logged and checked, payment links are shared and receipts update status automatically.
- Promise-to-pay log
- Payment link sharing
- Auto-update on receipt
Disputes and escalation
Disputes are captured with reasons and escalated to the owner, with credit-hold suggestions for repeat issues.
- Dispute capture with reason
- Escalation to owner
- Credit-hold suggestions
Governance
Approval before first send, do-not-contact lists and a full action log keep the programme inside your rules.
- Approval before first send
- Do-not-contact lists
- Action log
A typical engagement, step by step.
Senior people lead every phase. Specialised AI agents on the Agentic SDLC handle the repetitive work, and nothing ships without your approval.
Discovery
We map today's process, systems and data for prioritisation; reminders; and promises and payments, talk to the people who run it and agree the baseline for days sales outstanding and overdue over 60 days so progress is measured from week one.
Design
We design the flows, roles, approvals and integrations for prioritisation and reminders, and review a clickable prototype with the people who will use it before anything is built.
Build in weekly demos
We build in weekly demos, starting with prioritisation, then reminders and promises and payments. Each release is tested on your own data and passes a human approval gate before the next begins.
Launch and support
We migrate data, train your team and support go-live. After 30 days we review days sales outstanding, overdue over 60 days and promise-keeping rate against the baseline and agree what to extend next.
Start small. Scale when it works.
Every engagement begins with a short, fixed-price step so you can judge the fit before committing further. See pricing.
Discovery Sprint
Teams deciding which of prioritisation; reminders; and promises and payments to build first, and what it should cost.
- Duration
- 2 weeks
- Pricing
- Fixed price
- Scoped plan and timeline
- Team and fixed price
- Process map or prototype
FinOps OS Launch
Teams that want a proven, ready-made base for AI collections agent that goes live fast and can be extended later.
- Duration
- Launch edition, live in weeks
- Pricing
- From ₹2.4L, one-time, no per-user fees
- Pre-built modules to configure
- Data migration and training
- Extend with custom work later
Transformation Pod
Organisations running AI collections agent across several teams, sites or systems over years.
- Duration
- 12–36 months
- Pricing
- Annual contract
- Dedicated cross-functional team
- Quarterly business reviews
- One accountable partner
What we have shipped, and what a typical engagement looks like.
Delivered projects link to the full case study. Illustrative scenarios describe typical engagements and are not named client results.
B2B distributor
- Challenge
- Reminders sent irregularly; promises not tracked.
- What we do
- Prioritised reminders with a promise log and escalation of disputes.
- We would measure
- days sales outstanding, overdue over 60 days and promise-keeping rate, against a baseline agreed in week one.
Pilot in weeks
Free collections follow-up review
Tell us where collections follow-up hurts most. We map what to fix first, whether ready-made or custom fits, and a realistic first step.
- Where to start and why
- Ready-made vs custom view
- Indicative timeline
We agree targets before we start.
Every engagement has a baseline and a target on the measures that matter to you, reported at every read-out.
AI Collections Agent questions.
Will it send messages without approval?
Only inside rules you set. You can require approval for first sends, high-value accounts or any message type.
Is it aggressive?
No. Tone is set by you, and relationship-sensitive accounts can be excluded.
What data does it need?
Receivables, contact details and invoice copies from your ERP or Tally.
Does it work with Indian payment methods?
Yes. It can share UPI and payment links and record receipts.
How do we measure success?
Against your baseline: days outstanding, promise-keeping and hours spent on chasing. We agree the baseline in week one and report against it at each weekly demo and at a 30-day review.
How much does AI collections agent cost?
Every engagement starts with a fixed-price Discovery Sprint that produces scope, a plan and a quote. FinOps OS Launch is available from ₹2.4L, one-time, no per-user fees, excluding GST. Changes are agreed in writing before they are built, so the price you approve is the price you pay.
What should we prepare before the first call?
Bring a short description of how AI collections agent works today, examples of the documents or screens your team uses, and the three numbers that matter most to you. A senior specialist will use them to outline a first step and a fixed price.
Often combined with.
FinOps OS
29 modules from ₹2.4L.
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Read →Let's scope your AI Collections Agent project.
Tell us where you are and where you want to be. A senior specialist will reply within one business day with next steps.
- Free 30-minute consultation
- Indicative estimate after the call
- NDA available on request