Gartner® Predicts Agentic AI Will Carry CMOs Across the Martech Finish Line

Insider One believes in delivering autonomous
end-to-end customer engagement

At Insider One, we believe that getting past AI hype and into practical, tangible business outcomes takes more than AI agents. Organizations will need to activate data and apply contextual decisioning to enable agentic AI to manage increasingly complex customer engagements. Marketers and customer experience professionals need more robust data management, transparent governance and reporting, and true partnership as they work to achieve business objectives.

 

In their recent publication Predicts 2026, Gartner warned that “by 2029, only 20% of [marketing workflows] will show incremental ROI beyond the pilot stage”, and “legacy systems and insufficient data governance will remain the main obstacles to achieving measurable ROI at scale.”

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Insider One is building the next operating model for customer engagement. One where intelligent systems and multiple agents do not just inform decisions, they own them. When agents operate in an architecture that breaks data silos and determines the next best action in real time, the result is autonomous, AI-driven revenue generation.

"At Insider One, we are building the multi-agent future of customer engagement. AI is no longer a feature within the martech stack; it is now the operating layer, and agents are the operators. This also means decision ownership is shifting from humans to systems. The quality of AI decisioning will ultimately be defined by data ownership, identity, and rich contextual graphs, and that will draw the line between the winners and losers. When agents can reason over that depth of context, customer engagement becomes truly autonomous, delivering better outcomes for marketing and customer engagement teams, and ultimately for consumers.”

 

Hande Çilingir

Co-Founder and CEO at Insider One

Download the report and get key insights into:

Why most AI pilots fail to scale, and what’s really holding teams back.​

The data, governance, and operating foundations you need to unlock durable, compounding value from AI.​
Guidance you can use to stress-test your current AI roadmap and prioritize what to fix or build next.

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