Finance

Razorpay Payment Failure Rescue

Recover revenue before it disappears.

Turns failed Razorpay payments into an actionable recovery queue for finance, support, and sales.

Best forEcommerceSaaS

Agents7 required

Duration5-10 minutes

Groups failed payments by reason, value, and customer context, then recommends retry, support, or outreach actions for recoverable revenue.

How it runs

Multi-agent orchestration — here's the flow, step by step.

Call verslay_recall to retrieve prior Razorpay failure rate baselines, top failure reason codes, and recovery success rates from memory. Connect to Razorpay to pull all failed payments for the specified date range: payment IDs, error codes (BAD_REQUEST_ERROR, GATEWAY_ERROR, SERVER_ERROR), payment methods (UPI, card, netbanking, wallet, EMI), amounts, and customer IDs. Produce a structured failure dataset as Phase 1 output.

payment scanner

Consume Phase 1 failure dataset. Group failures by Razorpay error code and payment method. Calculate failure rates per method and identify the top 3 failure reason clusters. Distinguish retryable failures (network timeout, insufficient funds) from non-retryable ones (fraud block, card expired). Flag high-value failures above the user-specified threshold as priority recovery cases. Produce a segmented failure analysis for Phase 4.

razorpay payment operations analyst

In parallel with razorpay-payment-operations-analyst, call verslay_news_search targeting 'Razorpay payment failure UPI decline 2026 India' and 'Indian payment gateway retry optimization' to surface current failure trends and platform advisories. Call verslay_web_search for Razorpay error code documentation and recommended retry windows per error type. Call verslay_rss_fetch on Razorpay's status page RSS to identify any ongoing gateway incidents. Produce an Indian payments failure context package for Phase 4.

web researcher

Consume Phase 2 failure analysis and Phase 2 context package. Calculate expected recovery yield by segment: failure method × error type × amount band. Apply recommended retry windows from Phase 2 to estimate optimal retry timing per cluster. Call verslay_chart_create to generate a failure-reason distribution bar chart and a recovery-potential chart by payment method. Produce a prioritized recovery list for Phase 5.

data analyst

Consume Phase 3 prioritized recovery list and Phase 2 failure context. Draft personalized payment rescue emails per failure segment: UPI failure recovery (retry with UPI or switch to card), card decline recovery (update card details), high-value VIP rescue (personal tone with direct payment link). Apply best-practice tone from Indian payments context. Produce ready-to-send email drafts.

email writer

Consume Phase 3 charts and recovery analysis, Phase 4 email drafts, and Phase 2 failure analysis. Write a payment rescue operations brief: total failed payment exposure, failure breakdown by method and error code, expected recovery yield, smart retry recommendations aligned to Razorpay error codes, and a summary of rescue emails prepared. Call verslay_memorize to store the current period's failure rates, top error codes, and recovery yield estimates as baseline. Pass to distributor.

executive briefing writer

Receive the payment rescue brief and email drafts from executive-briefing-writer. Distribute the brief to the configured Slack channel or email. Confirm delivery and log the send timestamp.

distributor

Required Agents

payment-scanner
razorpay-payment-operations-analyst
web-researcher
data-analyst
email-writer
executive-briefing-writer
distributor

Connections

Required

razorpay

What it does

Failure reason clustering
Recoverable value ranking
Retry recommendations
Customer outreach drafts
Support handoff notes

Example prompt

Review failed Razorpay payments from the last 7 days. Prioritize recoverable revenue and draft customer recovery messages.

Ready to deploy Razorpay Payment Failure Rescue?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Finance

Razorpay Payment Failure Rescue

Recover revenue before it disappears.

Turns failed Razorpay payments into an actionable recovery queue for finance, support, and sales.

Best forEcommerceSaaS

Agents7 required

Duration5-10 minutes

Groups failed payments by reason, value, and customer context, then recommends retry, support, or outreach actions for recoverable revenue.

How it runs

Multi-agent orchestration — here's the flow, step by step.

Call verslay_recall to retrieve prior Razorpay failure rate baselines, top failure reason codes, and recovery success rates from memory. Connect to Razorpay to pull all failed payments for the specified date range: payment IDs, error codes (BAD_REQUEST_ERROR, GATEWAY_ERROR, SERVER_ERROR), payment methods (UPI, card, netbanking, wallet, EMI), amounts, and customer IDs. Produce a structured failure dataset as Phase 1 output.

payment scanner

Consume Phase 1 failure dataset. Group failures by Razorpay error code and payment method. Calculate failure rates per method and identify the top 3 failure reason clusters. Distinguish retryable failures (network timeout, insufficient funds) from non-retryable ones (fraud block, card expired). Flag high-value failures above the user-specified threshold as priority recovery cases. Produce a segmented failure analysis for Phase 4.

razorpay payment operations analyst

In parallel with razorpay-payment-operations-analyst, call verslay_news_search targeting 'Razorpay payment failure UPI decline 2026 India' and 'Indian payment gateway retry optimization' to surface current failure trends and platform advisories. Call verslay_web_search for Razorpay error code documentation and recommended retry windows per error type. Call verslay_rss_fetch on Razorpay's status page RSS to identify any ongoing gateway incidents. Produce an Indian payments failure context package for Phase 4.

web researcher

Consume Phase 2 failure analysis and Phase 2 context package. Calculate expected recovery yield by segment: failure method × error type × amount band. Apply recommended retry windows from Phase 2 to estimate optimal retry timing per cluster. Call verslay_chart_create to generate a failure-reason distribution bar chart and a recovery-potential chart by payment method. Produce a prioritized recovery list for Phase 5.

data analyst

Consume Phase 3 prioritized recovery list and Phase 2 failure context. Draft personalized payment rescue emails per failure segment: UPI failure recovery (retry with UPI or switch to card), card decline recovery (update card details), high-value VIP rescue (personal tone with direct payment link). Apply best-practice tone from Indian payments context. Produce ready-to-send email drafts.

email writer

Consume Phase 3 charts and recovery analysis, Phase 4 email drafts, and Phase 2 failure analysis. Write a payment rescue operations brief: total failed payment exposure, failure breakdown by method and error code, expected recovery yield, smart retry recommendations aligned to Razorpay error codes, and a summary of rescue emails prepared. Call verslay_memorize to store the current period's failure rates, top error codes, and recovery yield estimates as baseline. Pass to distributor.

executive briefing writer

Receive the payment rescue brief and email drafts from executive-briefing-writer. Distribute the brief to the configured Slack channel or email. Confirm delivery and log the send timestamp.

distributor

Required Agents

payment-scanner
razorpay-payment-operations-analyst
web-researcher
data-analyst
email-writer
executive-briefing-writer
distributor

Connections

Required

razorpay

What it does

Failure reason clustering
Recoverable value ranking
Retry recommendations
Customer outreach drafts
Support handoff notes

Example prompt

Review failed Razorpay payments from the last 7 days. Prioritize recoverable revenue and draft customer recovery messages.

Ready to deploy Razorpay Payment Failure Rescue?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Finance

Razorpay Payment Failure Rescue

Recover revenue before it disappears.

Turns failed Razorpay payments into an actionable recovery queue for finance, support, and sales.

Best forEcommerceSaaS

Agents7 required

Duration5-10 minutes

Groups failed payments by reason, value, and customer context, then recommends retry, support, or outreach actions for recoverable revenue.

How it runs

Multi-agent orchestration — here's the flow, step by step.

Call verslay_recall to retrieve prior Razorpay failure rate baselines, top failure reason codes, and recovery success rates from memory. Connect to Razorpay to pull all failed payments for the specified date range: payment IDs, error codes (BAD_REQUEST_ERROR, GATEWAY_ERROR, SERVER_ERROR), payment methods (UPI, card, netbanking, wallet, EMI), amounts, and customer IDs. Produce a structured failure dataset as Phase 1 output.

payment scanner

Consume Phase 1 failure dataset. Group failures by Razorpay error code and payment method. Calculate failure rates per method and identify the top 3 failure reason clusters. Distinguish retryable failures (network timeout, insufficient funds) from non-retryable ones (fraud block, card expired). Flag high-value failures above the user-specified threshold as priority recovery cases. Produce a segmented failure analysis for Phase 4.

razorpay payment operations analyst

In parallel with razorpay-payment-operations-analyst, call verslay_news_search targeting 'Razorpay payment failure UPI decline 2026 India' and 'Indian payment gateway retry optimization' to surface current failure trends and platform advisories. Call verslay_web_search for Razorpay error code documentation and recommended retry windows per error type. Call verslay_rss_fetch on Razorpay's status page RSS to identify any ongoing gateway incidents. Produce an Indian payments failure context package for Phase 4.

web researcher

Consume Phase 2 failure analysis and Phase 2 context package. Calculate expected recovery yield by segment: failure method × error type × amount band. Apply recommended retry windows from Phase 2 to estimate optimal retry timing per cluster. Call verslay_chart_create to generate a failure-reason distribution bar chart and a recovery-potential chart by payment method. Produce a prioritized recovery list for Phase 5.

data analyst

Consume Phase 3 prioritized recovery list and Phase 2 failure context. Draft personalized payment rescue emails per failure segment: UPI failure recovery (retry with UPI or switch to card), card decline recovery (update card details), high-value VIP rescue (personal tone with direct payment link). Apply best-practice tone from Indian payments context. Produce ready-to-send email drafts.

email writer

Consume Phase 3 charts and recovery analysis, Phase 4 email drafts, and Phase 2 failure analysis. Write a payment rescue operations brief: total failed payment exposure, failure breakdown by method and error code, expected recovery yield, smart retry recommendations aligned to Razorpay error codes, and a summary of rescue emails prepared. Call verslay_memorize to store the current period's failure rates, top error codes, and recovery yield estimates as baseline. Pass to distributor.

executive briefing writer

Receive the payment rescue brief and email drafts from executive-briefing-writer. Distribute the brief to the configured Slack channel or email. Confirm delivery and log the send timestamp.

distributor

Required Agents

payment-scanner
razorpay-payment-operations-analyst
web-researcher
data-analyst
email-writer
executive-briefing-writer
distributor

Connections

Required

razorpay

What it does

Failure reason clustering
Recoverable value ranking
Retry recommendations
Customer outreach drafts
Support handoff notes

Example prompt

Review failed Razorpay payments from the last 7 days. Prioritize recoverable revenue and draft customer recovery messages.

Ready to deploy Razorpay Payment Failure Rescue?

Start free. One click, full agent orchestration.

Get Started Free →