To encourage employees to automate tasks, the process of creating the automation must be demonstrably easier and faster than performing the task manually. Otherwise, people will always default to the path of least resistance, which is the manual action.

Automating a sales lead follow-up process scales directly with business growth—more leads mean more value from the automation. In contrast, a personal assistant agent offers static productivity gains. To maximize long-term ROI, focus automation efforts on systems that grow in usage and impact as the business expands.

For AI initiatives to succeed, RevOps must adopt a product-oriented mindset. This means moving beyond reactively fulfilling requests for dashboards and reports to proactively building and managing systems that solve the core problems of their "customers"—the sales reps and GTM leaders.

Sales organizations can run leaner by empowering their teams to train custom AI agents. These agents handle analysis, surface risks, and automate workflows, reducing the need for a large RevOps headcount and an expensive, complex software stack.

Simply giving sales reps a tool that saves them 15 minutes per deal isn't enough. Leaders must proactively redesign the team's workflow, such as shifting from single-tasking to batch processing, to ensure the time saved is actually repurposed effectively.

To conceptualize what's possible with modern AI data tools, RevOps leaders should frame the problem at the micro level. Instead of thinking about macro data fields, they should imagine having unlimited time and resources to fix one account record. This mental model helps identify high-value, manual processes that AI can now automate at scale.

To overcome sales team resistance to an AI-powered CRM, the CMO framed it as an augmentation tool. AI handles tedious tasks like pulling email lists, freeing reps to focus on higher-value activities like relationship-building and ensuring a great customer experience.

Instead of just providing reps with AI tools for self-service research, RevOps teams should proactively use AI to automate time-consuming tasks like territory planning and account intelligence. This shifts the burden from the rep, drives adoption, and ensures consistent application of AI for efficiency gains.

Sales processes become bloated over time, killing rep productivity. Instead of asking what to add, leaders should constantly ask what can be removed to achieve the same outcome. The best way to identify this friction is to be a rep for a day and experience the workflow firsthand.