We surveyed RevOps leaders and operators to understand how they’re navigating and adapting to the age of AI.
In doing so, we uncovered their projects, concerns, and what they see as the biggest opportunities going forward.
Get an inside look into where businesses are spending time (versus which activities really drive revenue), where priorities align and diverge, and most importantly, how to build the foundation you need to unlock AI’s full potential.
“In my opionion, the real challenge is that without clean, reliable data, AI can amplify problems instead of solving them.”
RevOps leaders and operators are struggling with a disconnect between the activities that consume the most time and those that are actually most critical to revenue.
Both sides understand the tasks that move the needle forward, but manual execution is consuming bandwidth and preventing a more strategic focus.
Until a CRM’s data is clean, both leaders and operators will continue to be bogged down by the same repetitive, manual work.
In our survey, incomplete or missing data enrichment emerged as the biggest operational headache for both groups.
73% of operators flagged it as a top challenge, while 59% of leaders said the same.
No more inconsistent job titles, industries, or regions preventing your ability to segment, route, or prioritize leads accurately.
Normalize, standardize, and categorize records based on your business logic. With AI embedded in your flow, that means cleaner lists, smarter routing, and consistent downstream reporting, all without manual cleanup.
Use AI workflows to validate contact data in real time, flagging formatting issues, catching fake or placeholder values, and correcting common typos.
Keep your records accurate, your automation running smoothly, and stop letting placeholder phone numbers or mistyped emails block your sales efforts.
Fill in missing firmographics such as industry, revenue, employee count, and more.
Stop letting incomplete account data slow you down, and make faster decisions and more informed routing actions.
Hierarchy data often reflects legal structure, but that’s rarely how your team sells. Empower your GTM teams with custom views by region, product line, partner model, or strategic relationship.
Plus, AI built into your flows augments and aligns your hierarchies to reflect how you go to market, giving you a more complete view of the enterprise.
