Digitate announced the general availability of ignio™ Flamingo, featuring a suite of AI-driven capabilities to further the vision of an autonomous enterprise.

At the core of the Flamingo release are Digitate’s integrated unified observability offering, enhanced generative AI (GenAI)-powered AI Assist, the transformation to ticketless operations, and greater sustainability achievements. By combining real-time observability, AI-powered insights, and closed-loop automation, customers can proactively find and resolve issues across IT and business operations before they impact business resilience and user experience.

The new Flamingo release enhances observability by aggregating diverse data sources and applying artificial intelligence (AI), providing a unified, comprehensive view of the entire business and IT workflows in real-time with full-stack observability, including horizontal observability, vertical observability, and adaptative observability. Combining the unified observability approach, AI-powered insights, and closed-loop automation capabilities, enterprises can predict and resolve issues proactively, often before they impact critical operations, closing the loop from insights to action.

“Our customers continue to reimagine their IT operations by combining AI and automation as they evolve towards an autonomous enterprise,” said Rahul Kelkar, Chief Product Officer, Digitate. “By unifying observability across IT and business operations, we're helping CIOs adopt a more strategic, predictive approach. Flamingo's innovations move us towards a ticketless, self-healing IT environment, bridging the gap between business operations and IT infrastructure. This comprehensive solution empowers organizations to enhance business continuity and drive digital transformation.”

In addition, Digitate introduces a new integrated GenAI-powered agent, ignio AI Assist. Trained on Digitate’s extensive knowledge database, it’s designed to offer intelligent conversation for faster diagnosis and resolutions, propelling IT to transition towards a more technology-first approach. With advanced analytics and predictive recommendations, ignio AI Assist delivers contextual and actionable insights that significantly reduce time-to-resolution, essentially serving as an expert to optimize cost, performance, and capacity for autonomous actions.

By combining enhanced observability, AI-driven insights, automated resolution, and AI Assist, customers have the capability to move towards a fully autonomous enterprise rapidly.

Flamingo’s new capabilities enable enterprises to achieve the following:

- Transform to a “Ticketless Enterprise” – Advanced AI and machine learning, combined with powerful elimination and prediction engines, minimize the need for manual ticketing and enable proactive issue resolution. Leveraging capabilities like change impact prediction, configuration impact forecasting, and root cause remediation to achieve a true "shift left," allowing potential issues to be addressed proactively, before they manifest and generate IT tickets.

- Enhance unified observability – This new feature breaks down silos of observability to achieve real-time, deeper insights into complex IT architecture with horizontal observability, full-stack visibility with vertical observability, and data-driven decision with adaptive observability. Combined with closed-loop automation and GenAI, Flamingo provides comprehensive insights, identifies issues, and leverages machine learning to close the loop. GenAI acts as the predictive expert agent for ignio™, enabling fast issue resolution and making the enterprise truly autonomous.

- Accelerate time to value – New GenAI agents for support, product queries, insights, and code generation/conversion to streamline operations and accelerate time-to-value.

- Deliver adaptive event management – AI-based semantic search that auto-suppresses irrelevant alerts, drastically improving noise filtering. Its human-in-the-loop approach increases control and accuracy.

- Achieve sustainability goals – Addresses environmental concerns by monitoring and reporting energy consumption trends in Digital workspace services, enhancing resource utilization, and minimizing the environmental footprint of IT operations.