Everything you need to know about how to unblock sales bottlenecks and improve GTM execution with the strategic application of Agentic AI
of executives expect pressure to maximize revenue to grow
of potential revenue lost to operational breakdowns
of sales rep time spent not selling
While pipeline generation remains a top priority for sales leaders, volume without velocity creates bloat. The average pipeline is three times larger than actual closed-won revenue—a signal of broken GTM execution and stalled opportunities.
The gap isn't at the top or bottom of funnel. It's the mid-funnel—where deals are won or lost, where friction builds, and where AI Agents represent the most transformative opportunity.
Why deals stall in the messy middle and how it impacts your revenue, forecasting, and strategic agility
The critical difference between chatbots, assistants, and autonomous AI agents that actually do work
How AI Agents increase both speed and quality without proportionally increasing cost
How to avoid "agent-washing" and identify solutions with real autonomous capabilities
Why Gartner recommends prebuilt agents and what to look for in vendor solutions
How to calculate time savings, capacity gains, and revenue impact from AI agent implementation
Not all "AI" delivers the same value. Here's how to distinguish between tools:
Foundation Models
Excellent for general-purpose tasks but not specialized or autonomous
OpenAI, Anthropic, Claude
Embedded Features
Good for point solutions but lack strategic impact and autonomy
Email writing, call transcripts, chatbots
Proactive Teammates
Understand context, make decisions, and deliver expert-level outputs autonomously
Work independently across sales processes
TLDR: If it needs to be told what to do, it's not an agent.
Across 50 qualified opportunities per quarter, AI agents can save 11.5-20 hours per deal. That's 500-850 hours saved per rep—equivalent to 12–21 full work weeks that can be reinvested in building pipeline, advancing deals, and closing revenue.
Why 97% of executives face mounting pressure and how operational breakdowns cost you 26% of potential revenue
The black hole of the sales cycle where deals stall and the cascading impacts on forecasting and strategic agility
The logic layer, domain expertise, and autonomous action that separates true agents from glorified chatbots
How AI agents create exponential gains by increasing speed AND quality without proportional cost increases
8 questions to ask vendors to avoid agent-washing and identify real autonomous capabilities
Gartner's guidance on build vs. buy, avoiding tool sprawl, and measuring ROI from day one
Learn how to accelerate deal velocity, improve forecast accuracy, and scale performance without proportional cost increases
Discover how to reduce operational costs, eliminate tool sprawl, and build AI systems that enhance workflows
Get the framework to distinguish real AI agents from agent-washing and evaluate vendor claims with Gartner-backed criteria
Understand how AI agents can reduce ramp time, improve rep capacity, and maintain consistent execution across teams
Get the complete framework for evaluating, implementing, and measuring AI agent success in your sales organization
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