Most sales organizations are drowning in tools and still falling short on results. The problem isn’t access to AI - it’s the lack of a clear, realistic strategy.

If your RevOps team is stuck maintaining a bloated tech stack or struggling with adoption, this guide is your roadmap. It’s time to turn automation into actual acceleration, in partnership with similarweb.

Key findings

  1. Only 1% of sales orgs have reached true AI maturity.
    Despite widespread availability, most teams underuse AI due to messy data, tool overload, and low adoption.
  2. Disconnected tech stacks are tanking efficiency.
    Sales reps use 10+ tools daily, and 66% say their tech stack feels more like a burden than a boost.
  3. Outdated CRM data = poor personalization.
    30% of CRM data becomes stale annually, undermining outreach and buyer alignment.
  4. External AI tools vs. Sales-specific AI? It's complicated.
    Public LLMs like ChatGPT are powerful but disconnected from your internal data. Sales tools are better integrated, but less evolved. The trick is aligning capabilities with your workflow and security needs.
  5. The four pillars of successful AI implementation:
      1. Strong data foundations
      2. Aligned and compatible tech stack
      3. Cross-team buy-in
      4. Clear KPIs and continuous optimization

This guide will help you:

✔️ Build a realistic, RevOps-friendly AI rollout plan
Learn how to align tools, timelines, and teams, from sales reps to execs, with structured KPIs that prove value early.

✔️ Drive adoption, not shelfware
Discover proven methods to get reps, managers, and leadership engaged and keep them accountable.

✔️ Measure what matters
From MoM usage to conversion lifts and rep feedback, learn how to quantify impact and course-correct with confidence.