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 Rahul Kelkar and Rajiv Nayan presented for Digitate at AI Field Day 7 |
Powering Autonomous IT with ignio AI Agents from Digitate
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Digitate is a global provider of agentic AI platform for autonomous IT operations. Powered by ignio™, Digitate combines unified observability, AI-powered insights, and closed-loop automation to deliver resilient, agile, and self-healing IT and business operations. In this presentation, Digitate’s Chief Product Officer, Rahul Kelkar, will introduce Digitate’s vision for an autonomous enterprise, where organizations learn, adapt, and make decisions with minimal human intervention. Through a series of demos, Rahul will also showcase how Digitate’s purpose-built AI agents work seamlessly across observability, cloud operations, and IT for business to boost cloud ROI, predict delays, and ensure long-term stability. Learn more about Digitate and its ignio platform, visit: https://digitate.com/ai-agents/
At AI Field Day 7, Rahul Kelkar, Chief Product Officer at Digitate, presented on powering autonomous IT with ignio, Digitate’s agentic AI platform designed for IT operations. Kelkar began by outlining the industry’s evolution from manual IT operations and cognitive automation toward modern AIOps and agentic AI, framing the journey towards fully autonomous IT as a progression through stages of manual, task-automated, and augmented operations. He described how ignio leverages a unified three-pillar approach: unified (or business) observability for comprehensive monitoring of both technical and business processes, AI-driven insights using traditional and agentic AI including machine learning and generative models, and closed-loop automation that not only provides recommendations but executes prescriptive actions with high confidence. This architecture aims to proactively eliminate business disruptions due to IT, identify issues before they impact business productivity, and reduce incident resolution times.
Ignio operates on what Digitate calls the “Enterprise Blueprint,” essentially a digital twin or knowledge graph that captures both structural and behavioral aspects of enterprise IT. The platform integrates with common monitoring and IT management tools, ingesting metrics, events, logs, and traces to provide a layered view of health across infrastructure, application stacks, and business value streams. Observability data is enriched with AI-based noise filtering, anomaly detection, correlation, and dynamic thresholding, automatically triaging and suppressing redundant alerts. Kelkar highlighted ignio’s “composite AI” approach, combining logical reasoning (rule-based and machine learning models), analogical reasoning (using generative AI and large language models for contextualization where knowledge is incomplete), and assisted reasoning (bringing domain experts into the loop to validate and tune recommendations). The workflow encompasses agent-based management of event and incident handling, automated root cause analysis, and remediation actions, all while learning from human validation to continuously improve performance.
The platform is designed to address complex, applied use cases in large-scale, modern environments, such as event reduction, proactive incident management, observability, patch management, and cost optimization across multi-cloud and containerized workloads. ignio supports integrations through out-of-the-box adapters for 30-40 major tools (with customization for specialized environments) and specific modules for SAP applications, batch scheduling, digital workspaces, and procurement processes. Its agentic capability is extended with Ignio Studio, empowering SREs and IT operations teams to continuously extend and customize workflows. As demonstrated, ignio’s AI agents interact via conversational interfaces, notifications, and dashboards, enabling a shift to smaller, cross-functional SRE teams—supported by autonomous agents handling the bulk of monitoring, triage, and remediation, with humans focusing on governance, validation, and improvement. This supports a vision of truly autonomous, resilient IT operations that adapt rapidly to changing workloads and technologies, minimizing disruptions and keeping business-critical systems running smoothly.
Personnel: Rahul Kelkar
Incident Resolution with Digitate’s ignio AI Agent
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At AI Field Day 7, Rahul Kelkar, Chief Product Officer at Digitate, presented the capabilities of ignio, an AI-based incident resolution agent designed to automate, augment, and improve IT operations. Ignio uses a logical reasoning model for incident resolution, leveraging enterprise blueprints to understand situations in a closed loop and applying automation where possible. When a fully automated response is not viable, ignio augments human efforts through assisted resolution, supplying prioritized incident lists based on business impact, providing situational context, and capturing both historical and episodic memory about recurring issues. The product integrates with various data sources to build a formal enterprise IT model, supporting information ingestion via templates or extraction from existing documentation, and includes adapters for common ITSM systems like ServiceNow for seamless change management.
Technically, ignio’s core incident resolution operates via automated root cause analysis, performing real-time health checks across application hierarchies—such as applications running on Oracle databases hosted on Red Hat servers—and comparing the current state to baselines to isolate anomalies. It can autonomously apply prescriptive fixes, such as restarting services, and then validate remediation by rechecking stack health. In more complex scenarios, like SAP HANA environments or intricate batch job dependencies in retail order management, ignio handles non-vertical, multi-layered issues involving middleware, business processes, and interdependent bad jobs. The solution features out-of-the-box knowledge for common technologies and allows continuous augmentation with customer-specific logic. Custom operational models and atomic actions can be enhanced using Ignio Studio, and the system learns from user feedback through reinforcement learning, improving accuracy in prioritizing incidents, suggesting fixes, and predicting service level agreement (SLA) violations before they occur.
Ignio extends beyond deterministic resolution to assist engineers and SREs via conversational augmentation. For issues not resolved autonomously, ignio provides contextual insights—including previous incidents, typical resolutions, and guidance for next-steps—while collaborating via a “resolution assistant” so humans can contribute domain knowledge and validate procedure. The demo showed proactive recommendation capabilities, identifying dominant recurring SLA violations and offering actionable, prioritized problem management insights. Ignio integrates with multiple agent-based platforms for orchestrated, multi-channel incident management flows, including email, Slack, and ticketing systems, using orchestration protocols and adapters. The platform employs advanced anomaly mining and sequence analysis, allowing users to identify root causes not only within vertical stacks but also through complex temporal and conditional relationships across business functions, ultimately supporting predictive, reactive, and continuous improvement use cases in large-scale enterprise IT environments.
Personnel: Rahul Kelkar
Scaling Autonomous IT: The Real Enterprise Impact with Digitate ignio
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Discover how Digitate is transforming enterprise operations through an AI-first go-to-market strategy built for global scale and complexity. In this session, Digitate’s GM and VP, Rajiv Nayan, will dive into real-world customer success stories that showcase how Digitate is scaling innovation across industries, building multi-billion dollar business opportunities, and reshaping how businesses run in the AI era. Learn how your enterprises can scale smarter, faster, and more proactively with Digitate: https://digitate.com/ai-agents/
At AI Field Day 7, Rajiv Nayan, Vice President and General Manager of Digitate, presented “Scaling Autonomous IT: The Real Enterprise Impact with Digitate ignio.” Nayan introduced ignio as an agent-based platform designed to bring autonomy to enterprise IT operations, built from the ground up over the past decade and protected by over 110 patents. Targeting a $31 billion global market across retail, pharma, banking, and manufacturing, ignio leverages machine intelligence and agent-based automation to address repetitive, knowledge-driven IT tasks, aiming to shift enterprises from assisted or augmented operations to true autonomy. According to Nayan, the platform is used by over 250 customers worldwide and has earned a high customer satisfaction rating of 4.4 out of 5 on G2.
Nayan illustrated ignio’s capabilities through detailed customer stories. For luxury retailer Tapestry, ignio integrated with IBM Sterling order management, financial, and logistics systems to monitor and optimize the journey of orders across 37 global webfronts. The platform proactively handled issues ranging from data inconsistencies to job cycle failures, ultimately saving the company millions and managing over 100,000 orders. In another case, a large pharmaceutical company with 70 complex system interfaces used ignio to streamline their prosthetic limb supply chain, reducing critical demand planning processes from weeks to hours. A global consumer goods company also employed ignio to automate order fulfillment across SAP systems and manufacturing plants, avoiding disruptions in a high-volume direct-to-store delivery model and preventing millions in potential losses.
At scale, ignio demonstrated significant operational efficiencies for enterprises such as a major pharmaceutical distributor and a retail pharmacy chain. In the distribution environment, ignio handled over 20,000 configuration items and 220 business-critical applications, achieving 80 percent noise reduction in event management and automating 110,000 hours of annual manual work. For the retail pharmacy chain with 9,000 stores, ignio automated ticket management tied to revenue assurance for promotions, reducing mean time to resolution from nearly three days to under ten minutes and recapturing $17 million in revenue while saving $5 million in support costs. Across its deployments, ignio processed 1.2 billion events last year, achieved 87 percent noise reduction, and executed 300 million automated actions—demonstrating that agentic, autonomous IT platforms can significantly reduce business disruptions and free human talent for higher-value work.
Personnel: Rajiv Nayan