This is a recording of a live session from the GTM ANZ Community, featuring Nathan Clark (Enablement Practice Lead, Pointer Strategy & Founder, Upright Revenue) and Ricky Pearl (Founder, Pointer Strategy).
The Big Shift: Revenue Enablement Must Be AI-Empowered
The AI landscape changed dramatically in December 2025. A wave of model releases created an explosion of actual capability — what was weekend tinkering for tech enthusiasts is now weekday work for revenue professionals.
The models are smart enough now that prompt engineering is becoming less critical. What matters is context engineering — giving AI the right information, at the right time, in the right structure.
And that maps perfectly to enablement. Revenue enablement has always been about getting the right context to the right people at the right moment. AI just made that infinitely more scalable. Teams that don't embrace this will be left behind — as Nathan puts it, your competitors are going to run rings around you.
Building Agents That Work For You
Nathan walks through the primitives of any AI agent — whether you build it in Notion, Claude Code, Codex, or anywhere else:
Example: The IP Builder
Nathan demonstrated an agent called "Bob" (as in Bob the Builder) that runs daily at 5am. It:
The enablement implication: Every coaching conversation, product meeting, and deal review in your org could be automatically captured, distilled, and turned into reusable training content — with zero admin time.
Example: The Slack Coach Bot
In under 60 seconds on screen, Nathan built a sales coaching agent in Notion that:
The agent wrote its own instructions, set up a MEDIC checklist, and started replying in Slack — all from a single sentence prompt. With 10 minutes of proper instruction-writing and access to your company's value proposition, this becomes a genuinely useful coaching tool that scales enablement's reach.
Data-Driven Enablement at Machine Speed
Nathan showed a workflow using Codex (OpenAI's CLI agent) that:
The whole process took minutes. Previously, this kind of analysis-to-presentation workflow would take days of manual work across spreadsheets, slides, and multiple review cycles.
What Doesn't Change
Both speakers were clear: AI amplifies enablement — it doesn't replace the human layer.
"I can't imagine a version of running really high quality enablement now without this. Your competitors are gonna run rings around you." — Nathan Clark
The Accessibility Story
One of the most striking points: this isn't enterprise-only technology anymore.
For small and mid-market companies, this is where you catch up. For enterprise, the argument is: your engineering team already has security clearances to run tools locally — go fight for the same access.
Key Takeaways
Want AI-powered enablement for your team? Every Pointer placement includes 12 months of structured training. Whether you're hiring your first SDR or scaling a revenue org, we embed enablement from day one. Book a discovery call.
Your Speakers
Nathan Clark is the Enablement Practice Lead at Pointer Strategy and Founder of Upright Revenue, where he works with founders and GTM leaders to turn revenue uncertainty into repeatable performance.
Ricky Pearl is the Founder of Pointer Strategy, where he's worked with 200+ GTM teams in APAC on strategy, hiring, and implementation.
*This session is part of the weekly GTM ANZ Community series. Join free for conversations on revenue enablement, partnerships, go-to-market engineering, and AI — every Thursday.*