Is your revenue organization built for AI-driven execution?
Most revenue teams have adopted AI tools, but few have built the workflows and data foundation to unlock what AI can do. This assessment evaluates where your organization stands across core workflows and gives you a directional picture of where to focus first to achieve an AI efficient GTM.
It just takes 10 mins. By the time your coffee's ready, so are your results.
What the assessment evaluates
The assessment evaluates workflow coverage and assigns an outcome based on these five core workflows: Prospect & Engage Accounts, Manage Deals, Retain & Expand, Coach & Improve, Forecast & Plan.
What your results include
Maturity stage, gap breakdown, and a clear starting point — all tied to your workflows.
What your results mean
Your results go beyond a simple score. The AI Maturity Model Assessment will reveal:
1. Your overall maturity stage
Traditional Sales Operations, Connected RevOps, Consolidated RevOps, or AI Efficient GTM — with an actionable description of what it means for your revenue org.
2. Where your gaps are
Scored across underlying drivers — showing exactly where the gaps are and which one is most likely holding your AI investment back.
3. Where to focus first
A specific starting point tied to your workflows and matched to your stage.
You'll discover how your team's current workflows and data compare across four stages of AI maturity. Whether you're just getting started or already scaling AI across your organization, you'll receive tailored guidance for moving to the next level.
An Inside Look at the AI Maturity Journey
Hear directly from an Outreach customer about what AI maturity really looks like in practice. In this guide, you'll learn how teams move beyond experimenting with AI to building scalable revenue workflows that deliver measurable impact.
FAQs
What is the Outreach AI Maturity Model?
It is a framework built on 15 years of revenue data that shows where your organization stands on the path to AI Efficient GTM. It gives you a clear, prioritized starting point for what to focus on first.
We already use AI tools – do we still need this?
Using AI and being built for AI are different things. Most teams have the tools, but very few have the workflows, data quality, and connected operating model to scale what those tools can do. Our online assessment shows you specifically where those gaps are.
Who should take this assessment?
Revenue leaders accountable for pipeline health, forecast accuracy, and go-to-market alignment — CIOs, CFOs or anyone evaluating where AI investments can make the most impact on team performance.
How much control do we give up if we start using AI agents?
You define the parameters. Most teams start with AI in a co-pilot role and expand automation deliberately as trust and data quality grow. The model helps you figure out exactly where you're ready to hand off and where you're not.
