AI Agents Revolutionize Revenue Operations for Market Success

Revenue operations (RevOps) is experiencing a seismic shift, driven by the rise of agentic AI—autonomous and semi-autonomous AI agents. These agents are not just automating tasks but are designed to perceive, reason, and act autonomously to achieve business goals, redefining how RevOps teams drive go-to-market (GTM) success.

The Shift from Manual to Autonomous Analytics

Gartner predicts that 75% of RevOps tasks—including workflow management, data stewardship, and revenue analytics—will be executed by AI agents by 2028. Historically, RevOps teams have been hindered by manual data preparation and report generation. While generative AI assistants have alleviated some burdens, agentic AI goes further by autonomously collecting, integrating, and analyzing data from CRMs, marketing platforms, and data warehouses. This enables faster, more reliable insights and empowers GTM teams to make data-driven decisions with agility.

RevOps’ Expanding Role in Data Governance

AI agents are transforming RevOps into stewards of unified, AI-ready commercial data. Data steward agents handle tasks like merging duplicates, correcting errors, and enriching records while improving through feedback. This shift allows RevOps to lead data governance for generative and agentic AI across GTM functions, ensuring compliance and data quality. With AI agents managing routine tasks, RevOps teams can focus on strategic insights and operational improvements.

AI in Revenue Technology Administration

Agentic AI is also streamlining the management of complex revenue technology stacks. Traditionally, RevOps teams faced manual administrative work across sales, marketing, and support systems. Now, AI agents automate integrations, workflows, and interoperability, reducing inefficiencies and freeing RevOps to prioritize strategic initiatives. As AI features flood the market, RevOps leaders must discern true capabilities from hype and align AI adoption with business goals.

Building an AI-Driven RevOps Roadmap

To integrate agentic AI effectively, organizations should:

• Audit their revenue tech stack for data interoperability.
• Assess AI-readiness of customer data (accuracy, consistency, completeness, timeliness, tagging).
• Define a long-term AI-first roadmap for sales organizations.
• Identify high-impact AI-assisted analytics use cases aligned with GTM priorities.
• Set clear goals for AI agents and oversee their performance.

The rise of agentic AI marks a turning point for RevOps, positioning teams as architects of GTM strategy. Organizations embracing this transformation will gain agility, smarter decision-making, and a competitive edge.

Steve Rietberg, Daniel O’Sullivan, and Alan Lopez are Gartner experts in Sales, Customer Service, and Marketing Practices.