Future of Agentic AI in Enterprise Applications | Mendix

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Emerging Tech: The Future of Agentic AI in Enterprise Applications

The AI revolution isn’t coming. It’s unfolding right now. And it’s happening faster than anyone predicted.

According to new Gartner® research, we’re entering an era where AI won’t just assist humans—it will work alongside us, make decisions, and transform how enterprise applications function.

The Five-Stage Evolution Has Begun

Stage 1: AI Assistants (2025)
“By the end of 2025, AI assistants will be embedded in almost every enterprise application. This isn’t the destination—it’s just the starting line.”

Stage 2: Task-Specific Agents (2026)
“By 2026, 40% of the enterprise apps will be integrated with task-specific agents” that handle complex, end-to-end tasks autonomously—freeing your teams from low-value work.

Stage 3: Collaborative Agents (2027)
Multiple AI agents will work together, each bringing different skills to solve complex problems across applications and data environments.

Stage 4: AI Agent Ecosystems (2028)
“By 2028, a third of user experiences will shift from native applications to agentic front ends”—AI will orchestrate workflows across multiple systems to achieve goals.

Stage 5: The New Normal (2029)
Half of knowledge workers will develop skills to create, work with, and govern AI agents—fundamentally changing how enterprise software works.

What This Means For You

C-level executives have a 3-6 month window to decide on strategy, investment level, and team composition to compete in the AI race.

Organizations that adapt quickly will outperform those that don’t. The question isn’t if you’ll embrace agentic AI, but how quickly you’ll move from stage to stage.

Available in these languages: English

Gartner, Emerging Tech: The Future of Agentic AI in Enterprise Applications, By Anushree Verma, Aakanksha Bansal, Alfredo Ramirez IV, Danielle Casey, 22 Jul 2025

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

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