Skan AI, the enterprise context graph company, has secured a triple recognition from Gartner in May 2026, earning an honorable mention in the Gartner Magic Quadrant for Process Intelligence Platforms, a spot as a Representative Vendor in the 2026 Gartner Market Guide for Task Mining Tools, and a feature in the Gartner Innovation Insight: AI Agent Mining Transforms Autonomous Operations and AI Agent Deployments. This simultaneous acknowledgment across three distinct Gartner publications marks a significant milestone for the company and reinforces its standing in the rapidly evolving process intelligence and agentic AI landscape.
Quick Intel
Triple Gartner Recognition Validates Skan AI's Market Position
Being recognized across three separate Gartner reports within the same month is not a common occurrence for any enterprise technology vendor. For Skan AI, the acknowledgment spans process intelligence, task mining, and AI agent deployment, three areas that the company has deliberately built its platform to address in an integrated manner. Avinash Misra, cofounder and CEO of Skan AI, framed the recognition as confirmation of a deliberate strategic direction: "By being recognized in both the Magic Quadrant for Process Intelligence Platforms and the Market Guide for Task Mining Tools, it's clear to us that we are filling a capacity gap no one else is addressing. We believe, this recognition verifies Skan AI's unique end-to-end approach to a foundational technology: continuous, screen-level observation of how complex, business-critical work actually runs across teams and systems, going beyond what logs or documents can capture, to fully ground reliable AI agents."
The recognition also positions Skan AI within the emerging discipline of AI agent mining, a field that Gartner has identified as transformative for autonomous operations. This places the company at the intersection of process intelligence and enterprise agentic AI, a convergence that is increasingly critical for organizations looking to move beyond proof-of-concept AI deployments into production-scale automation.
How Skan AI's Platform Drives Agentic Transformation
Skan AI's technology stack is structured around three sequential stages that take enterprises from understanding how work happens to deploying AI agents that can replicate and optimize that work. The first stage, Discovery, is powered by Skan AI Blueprint, which maps work across the enterprise to identify where AI can deliver the highest economic impact. This is not a static mapping exercise; it is a continuous process of observation at the screen level, capturing how business-critical workflows actually unfold across teams and systems.
The second stage, Contextualization, relies on Skan AI Intelligence, which processes billions of work telemetry observations using neurosymbolic AI. The output is operational context graphs and auditable Agentic Operating Procedures, providing a structured and verifiable record of how work is performed, including decision traces and exception-handling patterns that would otherwise remain invisible in logs or documentation.
The third stage, Deployment, brings these insights to life through the Skan AI Agents platform. Here, governed and ready-to-run agents are produced that execute complex workflows grounded in real human expertise rather than static manuals. This approach positions Skan AI as a broad foundation for context-aware AI agent deployment rather than a narrowly scoped task mining tool, functioning as what the company describes as AI for AI enablement, the context layer that converts enterprise agentic ambition into production reality.
Measurable Enterprise Impact Across Industries
The practical value of Skan AI's platform is reflected in the business outcomes reported by its customer base. The company counts 7 of the top 10 US banks and 1 in 4 Fortune 50 organizations among those currently scaling AI on its platform. Documented savings include more than $130 million for a global healthcare organization, $110 million for a top US banking institution, and $100 million for a leading insurance carrier. These figures represent a combination of process transformation, agentic AI enablement from roadmap through execution, and compliance risk mitigation, all grounded in real work execution data rather than theoretical modeling.
The breadth of industries represented, spanning banking, healthcare, and insurance, underscores the platform's applicability across regulated, high-complexity enterprise environments where accuracy, auditability, and governance are non-negotiable requirements.
Governance and Trustworthy Automation at the Core
A key differentiator in Skan AI's approach is its commitment to transparency and accountability. The company gives organizations full ownership and control over their data and agents within their own environment, ensuring that human oversight remains integral to every automated process. This philosophy is formalized in Skan AI's Agentic Process Automation Manifesto, which outlines the company's stance on responsible, trustworthy automation. As enterprises increasingly deploy AI agents in mission-critical workflows, this emphasis on human-in-the-loop governance is becoming a decisive factor in platform selection.
Skan AI's latest Gartner recognitions arrive at a moment when enterprise demand for scalable, trustworthy agentic AI infrastructure is accelerating. With a platform that spans the full journey from work discovery to agent deployment, and a customer base that includes some of the largest organizations in the world, the company is well-positioned to continue defining what responsible, production-ready process intelligence looks like for the modern enterprise.
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About Skan AI
Skan AI is an enterprise context graph company that provides a living, continuously updated operational record of how work actually happens across every system and application. Its suite of technologies span AI Blueprint, AI Intelligence and AI Agents, and provides an integrated platform designed to support every stage of an enterprise's AI and digital transformation journey, moving from initial planning to operational optimization and final automation.
It is used by the world's biggest companies to drive agentic transformation and is backed by marquee venture capital firms like Dell Technologies Capital, Cathay Innovation, Citi Ventures, Bloomberg Beta and others.
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