Every organization has a playbook. Most of them don’t work. Teams spend months defining personas, sequencing steps, and fine-tuning messages only to watch adoption fade soon after kickoff.
The numbers confirm what leaders already sense. Ninety-eight percent of go-to-market leaders say their strategy is active, yet only 10% execute it effectively. And this outcome gap appears in outside sales. The Wall Street Journal reports that while AI spending drives growth, it hasn’t delivered the productivity gains many expected.
Turn static plays into plays that learn and scale
Sales plays aim to standardize success. But in reality, most gather dust. Sellers can’t find them when they need them, or they find them too late. On top of that, plays rarely match the deal stage, persona, or region. And they don’t learn from outcomes or connect to coaching.
The result is a static snapshot detached from the current selling. And in today’s world, where buyer expectations shift daily across channels, static plays miss the mark.
That’s why traditional AI isn’t enough. Many tools analyze what happened, but don’t guide what to do next. Agentic AI goes beyond analysis to learn, adapt, and act.
Imagine you’re mid-deal with a healthcare CIO who suddenly raises concerns about data security. You search for the right response, but folders and chat threads slow you down. Or perhaps you’re managing a renewal for a key manufacturing client when the buyer suddenly goes quiet.
Now imagine an agentic tool like Highspot’s Deal Agent that instantly flags stalls. It analyzes engagement trends, marks the deal as at risk, and recommends a “next best play.” It also suggests sending a short ROI recap deck and a customer story from the same industry, complete with a ready-to-send email.
What once took hours to fix now takes just a few minutes. The seller reengages, the manager sees every action, and the Deal Agent keeps things moving.
That’s the power of agentic AI. It anticipates, assists, and acts without making things complicated.
Smarter agents. Smarter plays.
Of course, execution doesn’t stop at launch. Highspot’s purpose-built and custom agents keep learning long after deployment.
- Search Answers Agent delivers fast, permission-aware responses within search, chat, or CRM.
- Content Specialist Agent retires outdated versions and flags gaps before they cause confusion.
- Learning Specialist Agent connects play adoption to skill growth.
- Custom Agents automate priorities like product launches or regional campaigns.
Together, these agents form a feedback loop that ties plays to business realities and ensures every outcome refines the next step.
The payoff is clear. Companies using Highspot’s agentic system report a 50% boost in GTM efficiency, a 55% rise in rep confidence, and a 51% increase in buyer engagement. And organizations with unified enablement systems are 42% more likely to improve productivity, while AI-guided coaching improves win rates by 36%.
Ready to build high-performing sales plays?
Every seller deserves plays that think and adapt as fast as they do. Agentic AI turns playbooks from static documents to dynamic systems that act on every signal and improve every outcome.
Explore the AI for Sales Guide to see how agentic AI helps sellers reach their full potential.
