Most Revenue Teams Are Missing Out on a Giant Opportunity to Get Ahead
Right now, there’s a door wide open for revenue teams to become AI-enabled before everyone else does.
Today, stepping through that door is optional—but the teams that choose to do it early will be rewarded.
And I want to be clear: there’s a BIG difference between being truly AI-enabled and just playing around with AI features on legacy platforms or using ChatGPT.
Becoming an AI-enabled revenue organization requires an investment—of time, people, and money—to redesign workflows around AI-first systems, automate manual processes, and fundamentally reshape how work gets done. It’s a complete evolution in how your team operates. Those who take the leap early will gain an edge as they execute more efficiently than their competition.
Most teams are just poking their heads through the door, experimenting with small AI features and assuming they’re already on the path. They’re not. Others are waiting on the sidelines, watching until the AI winners and losers have been decided—but, by then, everyone else has already stepped through.
But the companies that will win? They’re stepping through that door today.
What It Means to Be an AI-Enabled Revenue Organization
Being AI-enabled doesn’t mean doing the same things faster or with less friction—it means fundamentally changing what your revenue team spends their time doing.
Most revenue teams today still operate reactively, consumed by tasks like:
- Logging activities in the CRM
- Preparing outreach materials and decks
- Combing through LinkedIn and Apollo for leads
- Building sales reports and dashboards
- Analyzing metrics and trends in spreadsheets
- Drafting marketing content from scratch
- Sitting through hours of status meetings
While teams may rely on popular SaaS tools—and even use some built-in AI features or general LLM applications—to ease the pain, their fundamental workflow remains unchanged.
AI-enabled revenue teams, on the other hand, will restructure their entire operational model so that AI is doing the heavy lifting. As a result, they can now lean aggressively into activities that were not scalable in a pre-AI era, but are massively scalable when a strong AI foundation is in place.
So, what exactly are these high-value activities?
In truth, they’ll vary based on the needs of each organization. But, you can get an idea by asking: “what would we do to maximize our potential, if only we had unlimited resources and depth?” For most teams, this involves things like:
- Curating hyper-personalized experiences for prospects, at scale
- Strategically planning next steps, rather than repeatedly asking “what happened?”
- Anticipating and addressing barriers to growth months in advance
Becoming AI-enabled isn’t just a technological upgrade—it’s a strategic transformation. It’s about redefining how your team works and reprioritizing the actions that drive real growth.
Which leads to the obvious question… What can you do today to start becoming truly AI-enabled?
Becoming an AI-Enabled Revenue Org: Where to Start
The most important step to becoming AI-enabled is simply to start—and to start today, before your competitors define the playbook.
The easiest way to begin is to ask the question: “What activities are eating up my team’s time right now?” Then, make a list. Search for AI-first solutions that address those use cases (Perplexity is helpful for this), and try the tools.
If you’re looking for tools that can immediately reduce the most common burdens, start here:
- ✍️ Content creation at scale — Copy.ai
- 🎧 Insights from client interactions — Gong, Staircase AI
- 📊 Instant GTM analytics & answers — Maester
- 🔍 Lead research automation — Exa
The key is not perfection—it’s action. The teams that are gaining an edge by becoming AI-enabled don’t have the most resources or AI knowledge, but they are starting now and iterating.
Finally, your homework.
(AKA my recommended immediate next steps 🙂)
- Make the decision today to build an AI-enabled revenue engine
- Designate 1 person on each team in the revenue organization to be responsible for vetting and implementing tools.
- Use as many tools as you can.
- Invest in the ones that work—but stay flexible and willing to swap tools when better options emerge.
- Get the “AI owner” for each team together 1x a month to review learnings and explore synergies
- Repeat steps 3-5 monthly until your team consistently sees clear benefits (in productivity, engagement, or efficiency). Once your workflow feels stable, shift to quarterly tool reviews.
-Tim
About Maester
Maester is the AI RevOps analyst that revenue leaders trust. Connect to over 25 sales data sources to offload your ad hoc sales reporting tasks
✅ Skip the endless Slack Q&A - It can take hours and days to get a response from coworkers. Maester replies in seconds.
✅ Cancel “status update” meetings - Employees spend up to 25 hours a week in “update” meetings that don’t drive action.
✅ Ditch the spreadsheet work - Spreadsheets require excessive effort for even basic tasks – Maester will build files for you.
✅ Stop building 100s of CRM reports - Maester provides all of the ad-hoc actionable insights and answers you need, in seconds.
✅ Don’t wait to spot problems - It takes most leaders 6 months to spot a performance problem in their team.
✅ Get answers without outside help - No need to rely on others to build CRM reports or analyses – anyone can “DIY” with Maester.
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