Sales enablement is one of the most important functions in revenue. It's also one of the most manual.
What enablement actually does, why it's clunky today, and how agentic AI can support the parts that slow it down while making the human parts matter even more.
If your salespeople are the revenue engine, sales enablement is the team making sure that engine runs smoothly.
Their job is to help sellers close deals as effectively as possible. That means education, assets, coordination, and removing friction at every turn. In practice, it looks something like this:
It's a broad mandate. And when it works, it's transformational. Reps close faster, ramp quicker, and spend their time selling instead of searching. Going forward, the best enablement teams will own two things: managing the context that powers the agents, and driving the human-to-human connection that no agent can replicate.
The function is critical. The execution is often painfully manual. Two areas stand out.
Enablement teams spend enormous time gathering, packaging, and distributing information. Product updates from the product team. Competitive intel from marketing. Pricing changes from finance. New features, new objections, new positioning.
And the pace of change at some companies makes this nearly impossible to keep up with. I'd love to be a fly on the wall at a place like Anthropic right now, watching how their enablement team keeps sellers current when the product is evolving week to week. At that speed, the traditional compile-and-distribute model just can't keep up.
The Knowledge Agent
An always-on agent that ingests every product update, competitive shift, pricing change, and feature release as it happens. Connected to your internal knowledge base, product roadmap, and CRM.
During a live call, it gives the rep hints and context. After the call, it identifies where the rep lacked information and feeds those gaps to the coaching agent so training stays targeted and current.
Enablement's role shifts from content assembly line to agent architect. Your enablement work becomes designing the agent itself. Providing the context. Defining the .md files and system prompts. Encoding the skills, the messaging frameworks, the competitive positioning, the quality bar. Enablement stops packaging information for humans to distribute and starts teaching the agent how the business actually works.
Most enablement teams use tools like Gong to review calls, spot patterns, and build trainings based on what they find. Rep X struggles with objection handling. Rep Y loses deals at the pricing conversation. The team as a whole is weak on competitive differentiation.
The problem? It's reactive, slow, and generic. Someone has to listen to the calls, identify the patterns, build the training, schedule the session, and hope it lands. By the time the coaching reaches the rep, they've already lost the next three deals with the same issue.
The Coaching Agent
An agent that listens to every call, reads every deal note, and watches every pipeline movement across the team. Not to replace the enablement leader's judgment, but to surface the signal they'd never have time to find manually.
Rep struggling with a specific competitor's positioning? The agent flags it and delivers a targeted micro-training. Team-wide pattern of losing deals at the procurement stage? The agent surfaces it with data before anyone has to ask.
And here's what changes the dynamic for reps: they can use it privately, alongside the work, in real time. No waiting for a scheduled training. No admitting a gap in a team setting. The rep gets a timely signal about what to adjust before their next call, not after a quarterly review.
Agents handle data, distribution, and pattern recognition. But deals don't close on information alone. They close on trust, relationships, and the ability to navigate real organizational complexity.
Agents handle the information layer. People handle the transformation layer. The best enablement orgs will run both.
Enablement is part educator, part coordinator, part internal marketer, part cheerleader, part connector. It's one of the most important functions in any revenue org. And right now, the people doing it are spending most of their time on assembly and distribution instead of strategy and impact.
A knowledge agent handles the "where do I find the latest X" problem and gives reps real-time support on calls. A coaching agent handles the "how do I get better at Y" problem, privately, in the flow of work.
I know the provocative take. People will say: remove the sales rep. Remove enablement. Agents can do it all. And maybe someday they will. But for where companies actually are today, with enterprise procurement cycles, security reviews, org-wide change management, and the trust that only comes from a human showing up? They still need people.
The enablement team of the future has two jobs: manage the context that powers the agents and drive the human-to-human connection that closes deals. Everything else gets automated.
If you run enablement: which problem would you solve first?
The knowledge gap or the coaching gap?