{ "componentChunkName": "component---src-templates-post-page-index-js", "path": "/tracemind-automating-the-chaos-of-crash-debugging/", "result": {"data":{"defaultImage":{"childImageSharp":{"fluid":{"base64":"data:image/jpeg;base64,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","aspectRatio":1.9047619047619047,"src":"/static/b9a1fa41d8a11857e973d42dc257e89d/2f1b1/blogs-default-image.jpg","srcSet":"/static/b9a1fa41d8a11857e973d42dc257e89d/fd013/blogs-default-image.jpg 200w,\n/static/b9a1fa41d8a11857e973d42dc257e89d/25252/blogs-default-image.jpg 400w,\n/static/b9a1fa41d8a11857e973d42dc257e89d/2f1b1/blogs-default-image.jpg 800w,\n/static/b9a1fa41d8a11857e973d42dc257e89d/0ff54/blogs-default-image.jpg 1200w,\n/static/b9a1fa41d8a11857e973d42dc257e89d/50fa3/blogs-default-image.jpg 1218w","sizes":"(max-width: 800px) 100vw, 800px"}}},"post":{"id":"cG9zdDoxMTQxMA==","title":"TraceMind: Automating the Chaos of Crash Debugging","content":"\n

The Debugging Dilemma: Why TraceMind?

\n\n\n\n

In a complex mobile ecosystem, debugging a single production crash is rarely a straightforward task. Historically, developers at PhonePe faced a fragmented landscape of data points. When a crash alert hit, an engineer would often spend hours—or even days of bandwidth—jumping between disparate tools to piece together the narrative of what went wrong.

\n\n\n\n

The manual investigation process typically required checking:

\n\n\n\n\n\n\n\n

This fragmentation didn’t just delay fixes, it created a cognitive load that hampered developer productivity. TraceMind was born from the need to consolidate these workflows into a single, intelligent engine.

\n\n\n\n

What is TraceMind?

\n\n\n\n

TraceMind is our internal automated debugging tool along with an accompanying dashboard designed to drastically reduce the time between crash detection and root cause identification. It serves as a “central nervous system” for production issues, automatically aggregating data from multiple sources to explain why a crash occurred, rather than just that it occurred.

\n\n\n\n
\"\"\"\"
\n\n\n\n

Operating Modes

\n\n\n\n

1. Proactive: The TraceMind Slack Bot

\n\n\n\n

The most immediate impact of TraceMind is seen in our #crash-ad-alerts Slack channels. Instead of just receiving a notification, the TraceMind bot acts as an automated first responder.

\n\n\n\n

1. Incident Detection & Slack Alerting

\n\n\n\n

Our system is designed to monitor for new crashes and regressions of existing issues, immediately dispatching notifications via a dedicated Slack bot. These incoming alerts automatically activate the TraceMind Slack bot for subsequent processing.

\n\n\n\n

2. Backend Triggering via Metadata Extraction

\n\n\n\n

Upon activation, the TraceMind Slack bot extracts the relevant crash metadata embedded within the initial alert message. This context is then forwarded directly to the TraceMind backend to initiate automated analysis.

\n\n\n\n

3. Execution of the Crash Analysis Workflow

\n\n\n\n

Receiving the payload triggers the core automated crash analysis pipeline within the TraceMind backend infrastructure.

\n\n\n\n

4. Automated Summary Generation & Bot ResponseConcluding the analysis, the TraceMind Slack bot posts a comprehensive diagnostic overview back to the channel. This response details the root cause, exact location of the failure, and outlines both immediate mitigations and long-term resolutions.

\n\n\n\n

2. Reactive: The TraceMind Dashboard

\n\n\n\n

For deep-dive investigations, developers use the TraceMind Dashboard—a powerful interface for manual analysis of both iOS and Android payment app crashes.

\n\n\n\n

Key Dashboard Capabilities:

\n\n\n\n\n\n\n\n

Beyond crash debugging, the dashboard allows engineers to visualize the complete user journey by intelligently collating data from multiple internal sources.

\n\n\n\n
\"\"\"\"
\n\n\n\n
\"\"\"\"
\n\n\n\n
\"\"\"\"
\n\n\n\n
\n
\"\"\"\"
\n
\n\n\n\n
\n
\"\"\"\"
\n
\n\n\n\n

Technical Architecture

\n\n\n\n

TraceMind’s end-to-end infrastructure comprises frontend repositories, a core workflow orchestrator, and MCP data services. It executes via a 14-node, 17-edge Directed Acyclic Graph (DAG) across three functional branches:

\n\n\n\n\n\n\n\n

The lifecycle executes sequentially through these nodes:

\n\n\n\n
\"\"\"\"
\n\n\n\n

Crash Analysis

\n\n\n\n

TraceMind standardizes crash data from different sources before analysis. It extracts key details including installation ID, device model, active screen, and exception information so every crash can be evaluated in a consistent format.

\n\n\n\n

Deployments Correlation

\n\n\n\n

TraceMind aligns crash activity with deployment history on an hourly timeline. A temporal proximity algorithm calculates a metadata score tracking the average time offset from deployment completion to the initial production crash alert spike.

\n\n\n\n

Model Architecture

\n\n\n\n

Intelligence is powered by PhonePe’s Sentinel Agent framework running GPT-5-x series models through a three-stage pipeline:

\n\n\n\n

The AI pipeline operates as follows:

\n\n\n\n\n\n\n\n

Slack Bot Mechanism

\n\n\n\n

The bot detects crash alerts in Slack, processes requests in an orderly queue, and guides each incident through a four-stage analysis:

\n\n\n\n\n\n\n\n

Finally, the bot posts a diagnostic summary and recommended actions directly to the Slack thread.

\n\n\n\n

Backend Architecture

\n\n\n\n

The backend is centered on a persistent workflow engine that coordinates data collection, analysis, and delivery. REST APIs initiate and monitor investigations, while asynchronous workers execute eligible steps in parallel and persist progress throughout the workflow.

\n\n\n\n\n\n\n\n

Frontend Architecture

\n\n\n\n

The dashboard is the control and inspection layer for the same analysis workflow used by the Slack bot. It lets engineers start investigations, follow each execution independently, and review crash trends, configuration changes, user journeys, and source context in one place.

\n\n\n\n\n\n\n\n

The Road Ahead

\n\n\n\n

We are continuously evolving TraceMind to move beyond analysis toward automated resolution:

\n\n\n\n
    \n
  1. Git Blame & Auto-MR: We are working on integrating git blame to identify the specific commit causing a crash and automatically raising a Merge Request (MR) with a fix or a revert suggestion.
    2. \n\n\n\n
  2. Auto-Revert for Remote Config Service: Integration to automatically trigger rollbacks for remote configuration keys identified as the source of crash spikes.
    3. \n\n\n\n
  3. Advanced Incident Analysis: A unified interface where developers can provide a timeframe and cohorts (device, user, version) to receive a comprehensive incident report powered by diverse data sources and traces.
    4. \n\n\n\n
  4. After automated analysis, the bot remains available for Q&A with full context (crash analysis, journey, conversation history, repository access). Each response attempts to advance root cause identification.
    5. \n
\n\n\n\n

By moving from manual investigation to automated intelligence, TraceMind ensures our engineering teams spend less time “finding” the problem and more time “solving” it.

\n\n\n\n

\n","date":"29 July, 2026","uri":"/tracemind-automating-the-chaos-of-crash-debugging/","categories":{"nodes":[{"name":"AI","slug":"ai"}]},"author":{"node":{"name":"Sampurna Mitra","slug":"sampurna","description":"Sampurna, a seasoned content creator with over 8 years of experience, excels in formulating communication plans, crafting data-driven articles, managing web communications, and contributing to PR campaigns and events at PhonePe. For all your content needs, Sampurna is your go-to expert! Join her as you explore the dynamic world of FinTech."}},"featuredImage":{"node":{"altText":"","localFile":{"childImageSharp":{"fluid":{"base64":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAANCAIAAAAmMtkJAAAACXBIWXMAAAsTAAALEwEAmpwYAAADJElEQVR42gEZA+b8AFIZhlAZhE4ZgkoYfEUYd0AXcTsWazYWZTAVXyoUWiYUVSETUB0SSxsTSBgQQhEOPA8ROgoQMwgQLwQPKQBSFoRJKYhKIIJJFnpDGHU+F3A5Fmk0FWMuFV4pFFklFVUhFVAZDEQ5R35ViKcbG0YPDzsNETcGDi0HEC4AUBaBRyiDRyB+SBd4Qxp1PRdtPB1rNxxlLxlfKBZZIhJRJhRWIBJOGxhPLURtIylVEhJBFhFEMiFoDhI8AEoXfEccfEMYdj0TbjYTZTgXZzYXZS8UXSsPVyUKUSAZT2sdnVsdjBMQQhQFPhcLQxcVSBUSRx4WUhMSQwBFGHZCF3RGHnZbNIyBTrtkOZgtEFg6Km1BTYE+gJZEmKh1Pr9QG4YXC0cjOmMmSm4WDkoVDkkWEksXEkwAPBRtTSh9rIHjvIH2xXf/j3HVT3uwUqDESrjESsTAVtPFZcTEKiZnGAlHO2qDe/LhYZS6KSpqGhBTHBNWADkYaFIygat84IhZuoFvz2ie1my00oHB15jP25PW2W7f01rKxTVojh4eVh8mWlKJo4rB40ZOjhkJUx8eYgA0FmE2GWM3HGQoD1NscrqlxeuYwNqBv9JRxMcswbshxbklv7QoeY0eJVgVCUgVC00oKGogHWMVCFIeKWgAMBVcLxVbLRRZKRFUZ2m4XqHJSpq9SqzEIsC7KcbBONDIPL/CLnuZHiBSGA9EIBxQGBBMYEmXVDuRHRpiACYUUSATSRgTQhAON2Flumuc5G6a0myiyiu9vy6xuCyUpiZ3lS5khiQiVBcPQRgUQxEUOplvyKZo5R4YWQAHDy0FDysGDywIDi87O3pERYoxKm4vM3galaEahJUlbognWHkzR28hGk4YEUMXEkINDjZvVJ+baNQSFjkABA8qCxAxERU8DBE1Cw0xDAoyEwpCJyhpK26JIkltIixbIhxRHhFKGxFHGRNEFhFBEQ87FRg8KylWDhI3AAQPKgwQMhMWQQsQNQ8ROBMTPhUSPxgSQR0QRx4OSB8PSh4RSx0TSxwTSBkSRBURQBMSPBMUOwcNLwgPMPek40up98KQAAAAAElFTkSuQmCC","aspectRatio":1.5873015873015872,"src":"/static/ce3dbe909b007cd9c8350b8b2f15046a/bc8e0/Tracemind_Icon-scaled.png","srcSet":"/static/ce3dbe909b007cd9c8350b8b2f15046a/8ac63/Tracemind_Icon-scaled.png 200w,\n/static/ce3dbe909b007cd9c8350b8b2f15046a/3891b/Tracemind_Icon-scaled.png 400w,\n/static/ce3dbe909b007cd9c8350b8b2f15046a/bc8e0/Tracemind_Icon-scaled.png 800w,\n/static/ce3dbe909b007cd9c8350b8b2f15046a/6050d/Tracemind_Icon-scaled.png 1200w,\n/static/ce3dbe909b007cd9c8350b8b2f15046a/00405/Tracemind_Icon-scaled.png 1600w,\n/static/ce3dbe909b007cd9c8350b8b2f15046a/a76e0/Tracemind_Icon-scaled.png 2560w","sizes":"(max-width: 800px) 100vw, 800px"}}}}},"subtitleAcf":{"text":"PhonePe Team"}},"moreCategoryBlogs":{"nodes":[{"id":"cG9zdDoxMTQxMA==","excerpt":"

The Debugging Dilemma: Why TraceMind? In a complex mobile ecosystem, debugging a single production crash is rarely a straightforward task. Historically, developers at PhonePe faced a fragmented landscape of data points. When a crash alert hit, an engineer would often spend hours—or even days of bandwidth—jumping between disparate tools to piece together the narrative of… Continue reading TraceMind: Automating the Chaos of Crash Debugging

\n","uri":"/tracemind-automating-the-chaos-of-crash-debugging/","date":"July 29, 2026","title":"TraceMind: Automating the Chaos of Crash Debugging","categories":{"nodes":[{"slug":"ai","id":"dGVybTo0MjE2","name":"AI"}]},"author":{"node":{"id":"dXNlcjo1OA==","name":"Sampurna Mitra"}},"featuredImage":{"node":{"altText":"","localFile":{"childImageSharp":{"fluid":{"base64":"data:image/png;base64,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","aspectRatio":1.5873015873015872,"src":"/static/ce3dbe909b007cd9c8350b8b2f15046a/bc8e0/Tracemind_Icon-scaled.png","srcSet":"/static/ce3dbe909b007cd9c8350b8b2f15046a/8ac63/Tracemind_Icon-scaled.png 200w,\n/static/ce3dbe909b007cd9c8350b8b2f15046a/3891b/Tracemind_Icon-scaled.png 400w,\n/static/ce3dbe909b007cd9c8350b8b2f15046a/bc8e0/Tracemind_Icon-scaled.png 800w,\n/static/ce3dbe909b007cd9c8350b8b2f15046a/6050d/Tracemind_Icon-scaled.png 1200w,\n/static/ce3dbe909b007cd9c8350b8b2f15046a/00405/Tracemind_Icon-scaled.png 1600w,\n/static/ce3dbe909b007cd9c8350b8b2f15046a/a76e0/Tracemind_Icon-scaled.png 2560w","sizes":"(max-width: 800px) 100vw, 800px"}}}}},"subtitleAcf":{"text":"PhonePe Team"}},{"id":"cG9zdDoxMTM4MA==","excerpt":"

India is undergoing a massive digital transformation, and at the heart of this revolution is PhonePe, enabling seamless payments and financial services for over 700 million registered users across Bharat. When you build at this kind of population scale, handling millions of transactions every single day, one thing matters above everything else: Trust. In the… Continue reading From Gatekeeper to Strategic Catalyst: How GenAI is Transforming Compliance at PhonePe

\n","uri":"/from-gatekeeper-to-strategic-catalyst-how-genai-is-transforming-compliance-at-phonepe/","date":"July 16, 2026","title":"From Gatekeeper to Strategic Catalyst: How GenAI is Transforming Compliance at PhonePe","categories":{"nodes":[{"slug":"ai","id":"dGVybTo0MjE2","name":"AI"}]},"author":{"node":{"id":"dXNlcjoyMg==","name":"Muktha Tavane"}},"featuredImage":{"node":{"altText":"","localFile":{"childImageSharp":{"fluid":{"base64":"data:image/png;base64,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","aspectRatio":1.5873015873015872,"src":"/static/a6977280a111e503accacad5691b9521/bc8e0/AI-in-compliance-blog-scaled.png","srcSet":"/static/a6977280a111e503accacad5691b9521/8ac63/AI-in-compliance-blog-scaled.png 200w,\n/static/a6977280a111e503accacad5691b9521/3891b/AI-in-compliance-blog-scaled.png 400w,\n/static/a6977280a111e503accacad5691b9521/bc8e0/AI-in-compliance-blog-scaled.png 800w,\n/static/a6977280a111e503accacad5691b9521/6050d/AI-in-compliance-blog-scaled.png 1200w,\n/static/a6977280a111e503accacad5691b9521/00405/AI-in-compliance-blog-scaled.png 1600w,\n/static/a6977280a111e503accacad5691b9521/a76e0/AI-in-compliance-blog-scaled.png 2560w","sizes":"(max-width: 800px) 100vw, 800px"}}}}},"subtitleAcf":{"text":"PhonePe Team"}},{"id":"cG9zdDoxMTM1MA==","excerpt":"

At PhonePe, we process a staggering 400 million transactions a day—amounting to over 10 billion monthly, operating at a scale that places it among the largest payment platforms globally. Managing such scale would typically require a massive customer support infrastructure for any company; however, PhonePe has consistently prioritized an automation-first approach. Today, we have achieved… Continue reading How AI-Driven Automation is Scaling PhonePe’s Customer Support Framework

\n","uri":"/how-ai-driven-automation-is-scaling-phonepes-customer-support-framework/","date":"July 13, 2026","title":"How AI-Driven Automation is Scaling PhonePe’s Customer Support Framework","categories":{"nodes":[{"slug":"ai","id":"dGVybTo0MjE2","name":"AI"}]},"author":{"node":{"id":"dXNlcjoyMg==","name":"Muktha Tavane"}},"featuredImage":{"node":{"altText":"","localFile":{"childImageSharp":{"fluid":{"base64":"data:image/png;base64,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","aspectRatio":1.5873015873015872,"src":"/static/0f2c7a1ce1a142ba3f82cd2c29c25431/bc8e0/AI-automation-in-CX-blog-icon-scaled.png","srcSet":"/static/0f2c7a1ce1a142ba3f82cd2c29c25431/8ac63/AI-automation-in-CX-blog-icon-scaled.png 200w,\n/static/0f2c7a1ce1a142ba3f82cd2c29c25431/3891b/AI-automation-in-CX-blog-icon-scaled.png 400w,\n/static/0f2c7a1ce1a142ba3f82cd2c29c25431/bc8e0/AI-automation-in-CX-blog-icon-scaled.png 800w,\n/static/0f2c7a1ce1a142ba3f82cd2c29c25431/6050d/AI-automation-in-CX-blog-icon-scaled.png 1200w,\n/static/0f2c7a1ce1a142ba3f82cd2c29c25431/00405/AI-automation-in-CX-blog-icon-scaled.png 1600w,\n/static/0f2c7a1ce1a142ba3f82cd2c29c25431/a76e0/AI-automation-in-CX-blog-icon-scaled.png 2560w","sizes":"(max-width: 800px) 100vw, 800px"}}}}},"subtitleAcf":{"text":"PhonePe Team"}},{"id":"cG9zdDoxMTMwOA==","excerpt":"

Over the past couple of years, PhonePe’s journey toward operationalizing AI began with a search for external platforms capable of automating complex, cognitive business processes. However, as we tested various AI tools for our engineering and operational requirements, we consistently encountered friction, eventually leading us to architect our own internal application layer: Agent Hub. Navigating… Continue reading Engineering Agent Hub: How PhonePe Built a Production-Grade Internal AI Platform

\n","uri":"/engineering-agent-hub-how-phonepe-built-a-production-grade-internal-ai-platform/","date":"July 07, 2026","title":"Engineering Agent Hub: How PhonePe Built a Production-Grade Internal AI Platform","categories":{"nodes":[{"slug":"ai","id":"dGVybTo0MjE2","name":"AI"}]},"author":{"node":{"id":"dXNlcjoyMg==","name":"Muktha Tavane"}},"featuredImage":{"node":{"altText":"","localFile":{"childImageSharp":{"fluid":{"base64":"data:image/png;base64,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","aspectRatio":1.5873015873015872,"src":"/static/42471d19da744bc64c7bb6fc06442382/bc8e0/Agenthub-scaled.png","srcSet":"/static/42471d19da744bc64c7bb6fc06442382/8ac63/Agenthub-scaled.png 200w,\n/static/42471d19da744bc64c7bb6fc06442382/3891b/Agenthub-scaled.png 400w,\n/static/42471d19da744bc64c7bb6fc06442382/bc8e0/Agenthub-scaled.png 800w,\n/static/42471d19da744bc64c7bb6fc06442382/6050d/Agenthub-scaled.png 1200w,\n/static/42471d19da744bc64c7bb6fc06442382/00405/Agenthub-scaled.png 1600w,\n/static/42471d19da744bc64c7bb6fc06442382/a76e0/Agenthub-scaled.png 2560w","sizes":"(max-width: 800px) 100vw, 800px"}}}}},"subtitleAcf":{"text":"PhonePe Team"}}]},"moreBlogs":{"nodes":[{"id":"cG9zdDoxMTQxMA==","excerpt":"

The Debugging Dilemma: Why TraceMind? In a complex mobile ecosystem, debugging a single production crash is rarely a straightforward task. Historically, developers at PhonePe faced a fragmented landscape of data points. When a crash alert hit, an engineer would often spend hours—or even days of bandwidth—jumping between disparate tools to piece together the narrative of… Continue reading TraceMind: Automating the Chaos of Crash Debugging

\n","uri":"/tracemind-automating-the-chaos-of-crash-debugging/","date":"July 29, 2026","title":"TraceMind: Automating the Chaos of Crash Debugging","categories":{"nodes":[{"slug":"ai","id":"dGVybTo0MjE2","name":"AI"}]},"author":{"node":{"id":"dXNlcjo1OA==","name":"Sampurna Mitra"}},"featuredImage":{"node":{"altText":"","localFile":{"childImageSharp":{"fluid":{"base64":"data:image/png;base64,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","aspectRatio":1.5873015873015872,"src":"/static/ce3dbe909b007cd9c8350b8b2f15046a/bc8e0/Tracemind_Icon-scaled.png","srcSet":"/static/ce3dbe909b007cd9c8350b8b2f15046a/8ac63/Tracemind_Icon-scaled.png 200w,\n/static/ce3dbe909b007cd9c8350b8b2f15046a/3891b/Tracemind_Icon-scaled.png 400w,\n/static/ce3dbe909b007cd9c8350b8b2f15046a/bc8e0/Tracemind_Icon-scaled.png 800w,\n/static/ce3dbe909b007cd9c8350b8b2f15046a/6050d/Tracemind_Icon-scaled.png 1200w,\n/static/ce3dbe909b007cd9c8350b8b2f15046a/00405/Tracemind_Icon-scaled.png 1600w,\n/static/ce3dbe909b007cd9c8350b8b2f15046a/a76e0/Tracemind_Icon-scaled.png 2560w","sizes":"(max-width: 800px) 100vw, 800px"}}}}},"subtitleAcf":{"text":"PhonePe Team"}},{"id":"cG9zdDoxMTM4MA==","excerpt":"

India is undergoing a massive digital transformation, and at the heart of this revolution is PhonePe, enabling seamless payments and financial services for over 700 million registered users across Bharat. When you build at this kind of population scale, handling millions of transactions every single day, one thing matters above everything else: Trust. In the… Continue reading From Gatekeeper to Strategic Catalyst: How GenAI is Transforming Compliance at PhonePe

\n","uri":"/from-gatekeeper-to-strategic-catalyst-how-genai-is-transforming-compliance-at-phonepe/","date":"July 16, 2026","title":"From Gatekeeper to Strategic Catalyst: How GenAI is Transforming Compliance at PhonePe","categories":{"nodes":[{"slug":"ai","id":"dGVybTo0MjE2","name":"AI"}]},"author":{"node":{"id":"dXNlcjoyMg==","name":"Muktha Tavane"}},"featuredImage":{"node":{"altText":"","localFile":{"childImageSharp":{"fluid":{"base64":"data:image/png;base64,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","aspectRatio":1.5873015873015872,"src":"/static/a6977280a111e503accacad5691b9521/bc8e0/AI-in-compliance-blog-scaled.png","srcSet":"/static/a6977280a111e503accacad5691b9521/8ac63/AI-in-compliance-blog-scaled.png 200w,\n/static/a6977280a111e503accacad5691b9521/3891b/AI-in-compliance-blog-scaled.png 400w,\n/static/a6977280a111e503accacad5691b9521/bc8e0/AI-in-compliance-blog-scaled.png 800w,\n/static/a6977280a111e503accacad5691b9521/6050d/AI-in-compliance-blog-scaled.png 1200w,\n/static/a6977280a111e503accacad5691b9521/00405/AI-in-compliance-blog-scaled.png 1600w,\n/static/a6977280a111e503accacad5691b9521/a76e0/AI-in-compliance-blog-scaled.png 2560w","sizes":"(max-width: 800px) 100vw, 800px"}}}}},"subtitleAcf":{"text":"PhonePe Team"}},{"id":"cG9zdDoxMTM1MA==","excerpt":"

At PhonePe, we process a staggering 400 million transactions a day—amounting to over 10 billion monthly, operating at a scale that places it among the largest payment platforms globally. Managing such scale would typically require a massive customer support infrastructure for any company; however, PhonePe has consistently prioritized an automation-first approach. Today, we have achieved… Continue reading How AI-Driven Automation is Scaling PhonePe’s Customer Support Framework

\n","uri":"/how-ai-driven-automation-is-scaling-phonepes-customer-support-framework/","date":"July 13, 2026","title":"How AI-Driven Automation is Scaling PhonePe’s Customer Support Framework","categories":{"nodes":[{"slug":"ai","id":"dGVybTo0MjE2","name":"AI"}]},"author":{"node":{"id":"dXNlcjoyMg==","name":"Muktha Tavane"}},"featuredImage":{"node":{"altText":"","localFile":{"childImageSharp":{"fluid":{"base64":"data:image/png;base64,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","aspectRatio":1.5873015873015872,"src":"/static/0f2c7a1ce1a142ba3f82cd2c29c25431/bc8e0/AI-automation-in-CX-blog-icon-scaled.png","srcSet":"/static/0f2c7a1ce1a142ba3f82cd2c29c25431/8ac63/AI-automation-in-CX-blog-icon-scaled.png 200w,\n/static/0f2c7a1ce1a142ba3f82cd2c29c25431/3891b/AI-automation-in-CX-blog-icon-scaled.png 400w,\n/static/0f2c7a1ce1a142ba3f82cd2c29c25431/bc8e0/AI-automation-in-CX-blog-icon-scaled.png 800w,\n/static/0f2c7a1ce1a142ba3f82cd2c29c25431/6050d/AI-automation-in-CX-blog-icon-scaled.png 1200w,\n/static/0f2c7a1ce1a142ba3f82cd2c29c25431/00405/AI-automation-in-CX-blog-icon-scaled.png 1600w,\n/static/0f2c7a1ce1a142ba3f82cd2c29c25431/a76e0/AI-automation-in-CX-blog-icon-scaled.png 2560w","sizes":"(max-width: 800px) 100vw, 800px"}}}}},"subtitleAcf":{"text":"PhonePe Team"}},{"id":"cG9zdDoxMTMwOA==","excerpt":"

Over the past couple of years, PhonePe’s journey toward operationalizing AI began with a search for external platforms capable of automating complex, cognitive business processes. However, as we tested various AI tools for our engineering and operational requirements, we consistently encountered friction, eventually leading us to architect our own internal application layer: Agent Hub. Navigating… Continue reading Engineering Agent Hub: How PhonePe Built a Production-Grade Internal AI Platform

\n","uri":"/engineering-agent-hub-how-phonepe-built-a-production-grade-internal-ai-platform/","date":"July 07, 2026","title":"Engineering Agent Hub: How PhonePe Built a Production-Grade Internal AI Platform","categories":{"nodes":[{"slug":"ai","id":"dGVybTo0MjE2","name":"AI"}]},"author":{"node":{"id":"dXNlcjoyMg==","name":"Muktha Tavane"}},"featuredImage":{"node":{"altText":"","localFile":{"childImageSharp":{"fluid":{"base64":"data:image/png;base64,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","aspectRatio":1.5873015873015872,"src":"/static/42471d19da744bc64c7bb6fc06442382/bc8e0/Agenthub-scaled.png","srcSet":"/static/42471d19da744bc64c7bb6fc06442382/8ac63/Agenthub-scaled.png 200w,\n/static/42471d19da744bc64c7bb6fc06442382/3891b/Agenthub-scaled.png 400w,\n/static/42471d19da744bc64c7bb6fc06442382/bc8e0/Agenthub-scaled.png 800w,\n/static/42471d19da744bc64c7bb6fc06442382/6050d/Agenthub-scaled.png 1200w,\n/static/42471d19da744bc64c7bb6fc06442382/00405/Agenthub-scaled.png 1600w,\n/static/42471d19da744bc64c7bb6fc06442382/a76e0/Agenthub-scaled.png 2560w","sizes":"(max-width: 800px) 100vw, 800px"}}}}},"subtitleAcf":{"text":"PhonePe Team"}},{"id":"cG9zdDoxMDg4Mg==","excerpt":"

When processing billions of transactions in a system as large as PhonePe, underlying databases go through constant querying, repairs and management. While a set of these tasks are automated, some are managed by human users. This leaves a potential risk of unauthorised/untracked human activities being executed in the databases. PhonePe addresses this risk with a… Continue reading Hoshō: A Database Activity Monitoring Tool

\n","uri":"/hosho-a-database-activity-monitoring-tool/","date":"May 15, 2026","title":"Hoshō: A Database Activity Monitoring Tool","categories":{"nodes":[{"slug":"engineering","id":"dGVybTo3","name":"Engineering"}]},"author":{"node":{"id":"dXNlcjoyMg==","name":"Muktha Tavane"}},"featuredImage":{"node":{"altText":"","localFile":{"childImageSharp":{"fluid":{"base64":"data:image/png;base64,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","aspectRatio":1.5873015873015872,"src":"/static/fd5350b7061977085d7c523b6f5a309f/bc8e0/Hosho-Final-Header-Icon-scaled.png","srcSet":"/static/fd5350b7061977085d7c523b6f5a309f/8ac63/Hosho-Final-Header-Icon-scaled.png 200w,\n/static/fd5350b7061977085d7c523b6f5a309f/3891b/Hosho-Final-Header-Icon-scaled.png 400w,\n/static/fd5350b7061977085d7c523b6f5a309f/bc8e0/Hosho-Final-Header-Icon-scaled.png 800w,\n/static/fd5350b7061977085d7c523b6f5a309f/6050d/Hosho-Final-Header-Icon-scaled.png 1200w,\n/static/fd5350b7061977085d7c523b6f5a309f/00405/Hosho-Final-Header-Icon-scaled.png 1600w,\n/static/fd5350b7061977085d7c523b6f5a309f/a76e0/Hosho-Final-Header-Icon-scaled.png 2560w","sizes":"(max-width: 800px) 100vw, 800px"}}}}},"subtitleAcf":{"text":"Pratik Anurag, Manisha C, Shubham Sharma, and Krishna Prasanth"}}]},"previous":null,"next":{"uri":"/from-gatekeeper-to-strategic-catalyst-how-genai-is-transforming-compliance-at-phonepe/","title":"From Gatekeeper to Strategic Catalyst: How GenAI is Transforming Compliance at PhonePe"},"categoriesData":{"nodes":[{"id":"dGVybTo0MjE2","name":"AI","count":4,"uri":"/category/ai/"},{"id":"dGVybToxOQ==","name":"Architecture","count":15,"uri":"/category/architecture/"},{"id":"dGVybTo0NDI=","name":"Cricket","count":null,"uri":"/category/sports/cricket/"},{"id":"dGVybTo3","name":"Engineering","count":15,"uri":"/category/engineering/"},{"id":"dGVybToyNQ==","name":"Mobile","count":10,"uri":"/category/mobile/"},{"id":"dGVybToyMg==","name":"Open Source","count":null,"uri":"/category/open-source/"},{"id":"dGVybToxNg==","name":"People Stories","count":3,"uri":"/category/people-stories/"},{"id":"dGVybToyOA==","name":"Product","count":3,"uri":"/category/product/"},{"id":"dGVybTo0MzM=","name":"Sports","count":null,"uri":"/category/sports/"},{"id":"dGVybTozMQ==","name":"Tech Stories","count":null,"uri":"/category/tech-stories/"},{"id":"dGVybTox","name":"Uncategorized","count":null,"uri":"/category/uncategorized/"}]},"recentPosts":{"nodes":[{"id":"cG9zdDoxMTQxMA==","title":"TraceMind: Automating the Chaos of Crash Debugging","uri":"/tracemind-automating-the-chaos-of-crash-debugging/"},{"id":"cG9zdDoxMTM4MA==","title":"From Gatekeeper to Strategic Catalyst: How GenAI is Transforming Compliance at PhonePe","uri":"/from-gatekeeper-to-strategic-catalyst-how-genai-is-transforming-compliance-at-phonepe/"},{"id":"cG9zdDoxMTM1MA==","title":"How AI-Driven Automation is Scaling PhonePe’s Customer Support Framework","uri":"/how-ai-driven-automation-is-scaling-phonepes-customer-support-framework/"},{"id":"cG9zdDoxMTMwOA==","title":"Engineering Agent Hub: How PhonePe Built a Production-Grade Internal AI Platform","uri":"/engineering-agent-hub-how-phonepe-built-a-production-grade-internal-ai-platform/"},{"id":"cG9zdDoxMDg4Mg==","title":"Hoshō: A Database Activity Monitoring Tool","uri":"/hosho-a-database-activity-monitoring-tool/"}]}},"pageContext":{"id":"cG9zdDoxMTQxMA==","categories":[{"id":"dGVybTo0MjE2","name":"AI","slug":"ai","uri":"/category/ai/","count":4},{"id":"dGVybToxOQ==","name":"Architecture","slug":"architecture","uri":"/category/architecture/","count":15},{"id":"dGVybTo3","name":"Engineering","slug":"engineering","uri":"/category/engineering/","count":15},{"id":"dGVybToyNQ==","name":"Mobile","slug":"mobile","uri":"/category/mobile/","count":10},{"id":"dGVybToxNg==","name":"People Stories","slug":"people-stories","uri":"/category/people-stories/","count":3},{"id":"dGVybToyOA==","name":"Product","slug":"product","uri":"/category/product/","count":3}],"categoryId":"dGVybTo0MjE2","previousPostId":null,"nextPostId":"cG9zdDoxMTM4MA=="}}, "staticQueryHashes": ["4132566406"]}