AI in 2026: Why Agentic AI and Outcome-as-Agentic Solutions Will Drive Business Growth

In 2026, AI moves beyond tools to autonomous outcome delivery. Discover why agentic AI and OaAS are shaping business transformation and ROI.

Monica Battaglia, Marketing & Communication Manager, Eudata

1/16/2026

In 2026, we’re witnessing a paradigm shift in how companies adopt artificial intelligence — not as experimental tools, but as autonomous systems engineered to deliver concrete business outcomes. This shift — known as Outcome-as-Agentic Solution (OaAS) — redefines enterprise AI, moving from traditional software to intelligent agents that execute complex workflows autonomously.

What OaAS Means for Business

Unlike legacy SaaS models where customers access tools and hope for value, OaAS embeds AI agents that operate independently to achieve results, substantially shortening time to value. Analysts predict that a significant proportion of enterprise applications will feature such agentic capabilities by 2026, signaling a mature phase of AI adoption.

Business Benefits You Can’t Ignore

Organizations integrating agentic AI are seeing measurable improvements in:

  • Operational cost efficiency through autonomous task execution;

  • Decision quality, with intelligent systems synthesizing data and recommending actions;

  • Customer and employee experience, as AI agents support and automate workflows end-to-end.

Senior leaders should treat OaAS not as a technology trend but as a strategic lever for growth and competitive differentiation.

Strategic Requirements for Success

To make OaAS work, companies need:

  • Strong AI governance and data strategy

  • Seamless integration with core business systems

  • Contracting models focused on outcomes rather than usage metrics

This is where AI adoption transcends experimentation and becomes a driver of scalable value.

Platforms Powering the Shift

No-code/low-code platforms that can orchestrate multiple AI agents (Generative AI, virtual assistants, automation bots) are accelerating this transition, helping businesses scale AI beyond narrow use cases.

Conclusion

2026 marks the moment when AI moves from novelty to execution engine. Businesses that embrace agentic AI with a clear strategy and governance framework will unlock measurable ROI and outpace competitors in efficiency, innovation, and customer experience.