Driving 5× Faster Incident Resolution and 3.5× Higher Release Velocity with Agentic AI–Driven DataOps

Business need

A Fortune 100 payment card company aimed to modernize its data operations and deliver differentiated customer experiences at scale. With data at the core of millions of transactions and interactions, ensuring reliability, speed, and security was critical to sustaining business growth, customer trust, and regulatory compliance. 

However, as business demands expanded rapidly, their data operations were becoming increasingly complex and fragmented. Monitoring and troubleshooting remained largely manual, leading to reactive firefighting, delayed issue resolution, and rising operational overheads. Ensuring always-on availability, delivering data-driving insights, and maintaining strict security and compliance controls became challenging.

Key business requirements:

• Ensure always-on availability of a mission-critical data platform
• Enable real-time visibility across data pipelines, infrastructure, and platform performance
• Reduce manual effort in monitoring, triage, and incident resolution
• Accelerate onboarding of new data use cases and business teams
• Improve speed and accuracy of root cause analysis and remediation
• Strengthen enterprise-wide security, governance, and regulatory compliance
• Power large-scale platforms and products to support a vast, global customer base
• Leverage data and machine learning to deliver personalized customer experiences and drive innovation

Solution

Partnering with the client, Impetus delivered an end-to-end agentic AI-driven DataOps model, combining deep engineering expertise with intelligent automation. A unified, enterprise-grade data platform was established, enabling seamless ingestion, processing, and consumption of massive volumes of real-time and batch data. This platform supports hundreds of ingestion pipelines, large compute workloads, and petabyte-scale data processing—forming the backbone for enterprise-wide analytics and business applications.

With this foundation, Impetus built a custom, agent-driven intelligence layer that continuously monitors system signals, detects anomalies, and performs automated root cause analysis by analyzing logs at scale. Leveraging specialized agents, automation frameworks, and CI/CD & infrastructure optimization, the payment card company was able to reduce the need for manual intervention and shift from reactive, ticket-driven operations to proactive, intelligent, self-healing DataOps.

Key highlights

Always-on reliability with enterprise-grade SRE 

• Delivered 24×7 operational support ensuring continuous platform availability 
• Strengthened system resilience through vulnerability management  
• Ensured business continuity with robust disaster recovery 
• Enabled real-time business insights via centralized observability dashboards 

Unified, scalable data platform for seamless enterprise-wide access 

• Built 200+ scalable ingestion pipelines on Google Cloud and optimized these to reduce latency  
• Performed data analysis, profiling, cleansing, and metadata design across 100+ data sources 
• Modernized legacy HQL code to standardized, deployment-ready Java-Spark frameworks 
• Democratized access to business use cases across legacy and modern data environments 

Massive-scale infrastructure management and optimization 

• Managed 3,500+ on-prem virtual servers across a highly distributed ecosystem 
• Operated 50+ Hadoop clusters, 35+ Kubernetes clusters, Kafka, SQL, and multiple other platforms 
• Supported 35 TB/day real-time processing, 120 PB batch data, ~30K daily ingestions, and 1.2B monthly requests 
• Led architecture design and threat modeling for enterprise applications 

Agentic AI and GenAI-driven operational intelligence 

• Implemented specialized agents and bots for vulnerability management, incident categorization and root cause analysis
• Leveraged AI to detect unused resources and optimize infrastructure utilization
• Integrated a Slack-based chatbot with ServiceNow for efficient issue analysis, query handling, and real-time updates

Automation-led efficiency and resilience at scale 

• Reduced manual effort by 50% using Ansible and Shell scripting 
• Automated incident and alert generation via ServiceNow and Slack 
• Enabled single-click CI/CD deployments using Jenkins, SonarQube, and XL Release 

End-to-end governance with enterprise-grade security 

• Empowered organization-wide users with a unified view of business, technical, and operational data
• Implemented event- and attribute-level access controls 
• Ensured secure data transmission through powerful encryption  

Impact

Impetus helped the payment card company transition from traditional, reactive DataOps to an intelligent, autonomous, cost-efficient model that could drive operational excellence at massive scale. This foundational shift empowered business users across service lines—enhancing analytics-led decision-making and enabling personalization of customer experiences. Simultaneously the engagement reduced overall risk, strengthening compliance and governance.

Business benefits

• Always-on reliability: Achieved 99.99% availability, ensuring business continuity 
• Faster incident resolution: Enabled 400% faster incident resolution through AI-driven triage and RCA 
• Operational efficiency: Reduced manual effort by 50%, enabling teams to focus on innovation  
• Improved performance: Enabled 50%+ faster data processing and resource utilization 
• Faster time-to-market: Accelerated release deployment frequency by 250% per month 
• Stronger security posture: Achieved 99% security compliance, strengthening adherence to regulatory standards 
• SLA excellence: Delivered 100% SLA adherence for infrastructure provisioning and CI/CD operations 
• Agile delivery maturity: Enabled 100% SAFe-aligned teams and delivery processes, improving consistency and execution at scale