Contentful's AI-Powered RevOps: 400-Person Team Results

How Enterprise Sales Teams Actually Use AI for Deal Intelligence

This session starts at 56:52 in the SaaStr AI London recording.

This session bridges the gap between AI hype and enterprise reality. Ashley from Momentum (an AI revenue intelligence platform) is joined by Ashley Blackwell from Contentful, who runs operations for their 400-person GTM organization selling to IKEA, Home Depot, and other enterprise giants.

What makes this valuable is the “money slide” approach - Blackwell shares concrete business decisions that came from AI-powered insights, the kind of data you can take back to your CEO and board. This isn’t about cool demos; it’s about what actually moves the needle for a 900-person company.

The session covers multiple use cases across the enterprise sales cycle, showing how AI can surface deal intelligence that was previously invisible or required manual digging through call transcripts and CRM data. For sales leaders wondering “where does AI fit in my stack?” this provides a realistic roadmap.

Contentful represents the ideal case study: large enough to have complexity (400 GTM people, enterprise customers), but nimble enough to adopt new technology. Their experience shows what’s possible when AI is integrated into revenue operations rather than bolted on as an afterthought.

4 Insights From Contentful on AI Revenue Operations

• Enterprise AI adoption requires showing ROI to the C-suite - focus on “money slides” with concrete business impact
• 400-person GTM teams have enough data to make AI insights genuinely valuable, but also enough complexity to make implementation challenging
• AI revenue intelligence works best when integrated into existing workflows rather than requiring behavior change
• The gap between AI capabilities and enterprise adoption is often about proving business value, not technical limitations