By Gertrude G. Van Horn, SVP & CIO at Cien.ai

“The leaders are giving AI a seat at the table – an invitation for an AI Agent to become part of the fabric of their businesses, helping to identify, explore, and not only improve process and efficiency but influence outcomes. This is the evolution from AI Agent to AI Colleague.” 

– Gertrude Van Horn, SVP & CIO, Cien.ai

The Experimentation Trap

Most organizations today are stuck in a cycle of “AI experimentation.” We treat AI as a science project—something to be tested in a silo but rarely integrated into the heart of the business. Meanwhile, RevOps teams are struggling with “The Maintenance Loop,” spending 80% of their time on manual data maintenance tasks, including cleaning CRM entries, reconciling spreadsheets, and fixing broken reporting logic.

While executives seek strategic growth insights, their human talent is often overshadowed by administrative debt. We’ve reached a threshold where the volume and complexity of GTM data have outpaced the capacity of human-only teams. If we continue to view AI as just a better “calculator,” we will remain stuck in this loop.

Agents in the Org Chart

At Cien.ai, I have the enviable position of being in an immersive, AI-native environment where pushing the envelope is part of our DNA. This unique vantage point has shown me that the major shift on the horizon isn’t just about “using” a tool—it’s about restructuring our teams and embracing AI Agents as Colleagues.

It’s clear that we need a mindset shift to stop treating AI as a software purchase and start treating it as a talent strategy. We are moving toward the Post-AI Org Chart, where AI Agents are part of the Org Chart.

By using Cien.ai’s GTM platform, companies can rapidly offload the manual operational burden to AI Agents that are “always on.” The agents aren’t just driving automation and efficiency; they are brilliant AI Colleagues that:

• Remediate data in real-time – fast – but with the guardrails of “Human in the Loop” philosophy
• Identify GTM friction before it impacts your quarterly numbers.
• Double down on data-driven results, ending the guesswork.
• Uncover patterns, performance, and hidden issues for true resolution and strategic insight. 

The Shift: From Tool to Teammate

Nvidia’s Jensen Huang famously said, “You’re not going to lose your job to an AI, but you’re going to lose your job to someone who uses AI.”   While many view AI as a simple productivity tool—like a better spreadsheet—that view is shortsighted. In 2026, I believe success is pushing us to evolve. This year will mark the transition where AI is elevated to a brilliant colleague who is undeterred, relentlessly focused on success, efficiency. The leaders in this new era will be those who see AI as a Colleague and strategic partner.

What Does Success Look Like?

Success is a “Strategic Growth Multiplier” effect. When AI Agents automate the heavy lifting of data remediation and pipeline analysis, your human talent is freed to focus on high-value, complex problem-solving. The RevOps lead moves from being a “data hygienist” for messy CRM data to a “strategic partner” using GTM Suite to leverage opportunities and drive growth. By anchoring your organization on Cien.ai’s data-driven insights, the friction between data and action is eliminated, and growth patterns and forecasting become predictable. The end result is better data, stronger insights, shorter sales cycles, higher propensity targets, and cleaner pipelines.

The question for 2026 is no longer whether you will use AI, but whether you are brave enough to invite AI to be a Colleague, and give it a seat at the table.

About The Data Exec Series

This article is part of our Data Exec Series, inspired by our work with B2B business leaders, transformation consultants, and PE operating partners. These articles focus on the strategic and operational realities of becoming a truly data-driven executive—ready for the AI revolution. If you’re interested in improving GTM performance and data, check out our Growth Essentials Series and Practical RevOps Analysis Series as well.