Speed up onboarding with an AI agent on WhatsApp — collect documents, follow up, resolve issues, and securely organize everything in your preferred storage.
Hey, I’m Akhil Thomas. I’ve been around the block with product launches — cheering from the sidelines, shipping quietly in the background, clapping for others. But somehow, I never made it to the “Maker” badge. Until today. After countless launches (and a few launch fails), here I am… officially a Maker on Product Hunt for the very first time.
Over the past two years, our team has focused on tackling use cases where conversion rates have historically remained in the low single digits — often because it's simply not feasible for humans to follow up with hundreds of thousands of customers manually.
We’ve been deploying voice, text, and hybrid AI agents to run multiple experiments in parallel — testing whether intelligent agents, automation, and workflows can significantly improve outcomes.
And we realized we could use this hybrid approach to solve some of the long-standing problems that have created operational chaos across fintech, banks, NBFCs, and consumer companies.
Today, we're launching one such hybrid solution — document collection.
Our document collection agent can:
Request and collect documents from customers
Answer their questions in real time
Check if the submitted documents meet your criteria
Ask for a re-upload if needed — and explain why
Follow up via call or WhatsApp if a customer becomes inactive
We’d love to hear your thoughts on document collection and what other use cases you think a hybrid approach could solve
@oyeakhil Huge congratulations on becoming a maker — and an even bigger congrats on launching your product! It’s no small feat to bring an idea to life, and you’ve officially made it happen. Wishing you all the success as you take this exciting next step!
This sounds like an incredibly powerful tool! The ability for the AI agent to follow up in real time on WhatsApp, check if documents meet criteria, and even explain why a re-upload is necessary, is a game-changer. How the AI handles edge cases where customers might not understand the specific document requirements or where documents might be unclear?
Case 1: You can ask any number of clarification questions, and the AI agent will respond accordingly. We'll also aim to send sample documents as part of the response.
Case 2: If the documents are not clear, it will immediately respond with: "The documents are not clear. Please upload clearer ones."
Currently sitting at the tata motors service centre, it's been atleast 4 times since I have shared the docs and files for insurance claim and havnt gotten the customer support I need.
I feel this product has some crazy potential for these issues.
@muhammed_ibrahim2 Thanks for sharing. This is exactly the kind of problem we’re aiming to solve. In high-volume environments like service centers, documents often get misplaced or follow-ups are missed—leading to frustrating delays like the one you're facing.
Our product helps automate and streamline the entire document collection and follow-up process, ensuring nothing slips through the cracks. Really appreciate your support—your experience reinforces why we built this in the first place. 🙌
Replies
Document collection by Superdash
Hey, I’m Akhil Thomas. I’ve been around the block with product launches — cheering from the sidelines, shipping quietly in the background, clapping for others. But somehow, I never made it to the “Maker” badge. Until today. After countless launches (and a few launch fails), here I am… officially a Maker on Product Hunt for the very first time.
Over the past two years, our team has focused on tackling use cases where conversion rates have historically remained in the low single digits — often because it's simply not feasible for humans to follow up with hundreds of thousands of customers manually.
We’ve been deploying voice, text, and hybrid AI agents to run multiple experiments in parallel — testing whether intelligent agents, automation, and workflows can significantly improve outcomes.
And we realized we could use this hybrid approach to solve some of the long-standing problems that have created operational chaos across fintech, banks, NBFCs, and consumer companies.
Today, we're launching one such hybrid solution — document collection.
Our document collection agent can:
Request and collect documents from customers
Answer their questions in real time
Check if the submitted documents meet your criteria
Ask for a re-upload if needed — and explain why
Follow up via call or WhatsApp if a customer becomes inactive
We’d love to hear your thoughts on document collection and what other use cases you think a hybrid approach could solve
Please leave your comments below.
Happycapy
@oyeakhil Congratulations on becoming a maker, and congratulations on the product launch！
Document collection by Superdash
@ninaaaa0913 Thank you Nina.
Happycapy
@oyeakhil Huge congratulations on becoming a maker — and an even bigger congrats on launching your product! It’s no small feat to bring an idea to life, and you’ve officially made it happen. Wishing you all the success as you take this exciting next step!
Document collection by Superdash
@min_zhou Thank you Min :)
Happycapy
Congrats! It sounds promising!!
Document collection by Superdash
@victoria_wu Thanks Victoria.
This sounds like an incredibly powerful tool! The ability for the AI agent to follow up in real time on WhatsApp, check if documents meet criteria, and even explain why a re-upload is necessary, is a game-changer. How the AI handles edge cases where customers might not understand the specific document requirements or where documents might be unclear?
Document collection by Superdash
@evgenii_zaitsev1 Pretty good question here.
It handles both cases:
Case 1: You can ask any number of clarification questions, and the AI agent will respond accordingly. We'll also aim to send sample documents as part of the response.
Case 2: If the documents are not clear, it will immediately respond with: "The documents are not clear. Please upload clearer ones."
Wylo
Document collection by Superdash
@muhammed_ibrahim2 Thanks for sharing. This is exactly the kind of problem we’re aiming to solve. In high-volume environments like service centers, documents often get misplaced or follow-ups are missed—leading to frustrating delays like the one you're facing.
Our product helps automate and streamline the entire document collection and follow-up process, ensuring nothing slips through the cracks. Really appreciate your support—your experience reinforces why we built this in the first place. 🙌
FinFloh : End-to-End A/R Platform
Super-cool product. Would love to give it a shot.
Document collection by Superdash
@iamartya Thank you Amartya.
FinFloh : End-to-End A/R Platform
Very useful product @oyeakhil Can't wait to try it out.
Document collection by Superdash
@srawat24 Thank you Shivam :)
Congrats @oyeakhil awesome work 👏
Document collection by Superdash
@justinchitla :)
Awesome product, congrats !
Document collection by Superdash
@angezanetti Thank you Xavier.
Document collection by Superdash
@krjsn Feel free to reach out to me in case you have any requirement or usecase.
good idea and nice product. signup already.
Document collection by Superdash
@warren_wu5 Thank you. Please let me know if you have any questions.