The hidden AI opportunities accelerating GTM from quote-to-revenue

Join DealHub CPO Eyal Orgil at INBOUND 2025 for insights on where the real AI opportunity lives in your GTM stack.

The AI gaps hiding from RevOps leaders

AI is everywhere in sales and marketing, as chatbots, content generators, and research assistants. Yet for all these AI interfaces, most revenue teams are still struggling with the same fundamental challenges: slow deal cycles, pricing inconsistency, approval bottlenecks, poor revenue forecasting, and disconnected buyer experiences.

What if the biggest AI opportunity in your GTM stack isn’t where you think it is?

While most organizations focus AI efforts on the familiar territory of marketing and business development, there’s a massive untapped opportunity sitting in plain sight: the quote-to-revenue process. This is where deals actually get structured, priced, approved, and closed, yet it remains largely manual, fragmented, and ripe for intelligent automation.

Where real GTM transformation happens

At INBOUND 2025, DealHub Chief Product Officer Eyal Orgil will challenge conventional thinking about AI in revenue operations. His keynote, “GTM Acceleration With AI: From Quote To Revenue,” reveals why the next wave of competitive advantage lives in the processes that most revenue teams haven’t yet connected to their AI strategy.

Consider the current reality of siloed GTM intelligence. Your marketing team uses AI to generate personalized content. Your sales reps use AI to draft outreach messages. But when it comes to configuring complex and connected solutions—such as optimizing pricing strategies, managing contract risks, or predicting pipeline outcomes with absolute precision—most teams are still operating without end-to-end automation or intelligence.

The data tells the story: Gartner predicts a significant rise—up to 60%—in organizations using generative AI for research, writing, sales enablement, and market strategy development. Meanwhile, quoting, pricing, contracts, and buyer experiences will remain largely untouched by intelligent automation. This represents both a massive efficiency gap and a strategic opportunity.

Beyond automation: 4 ways to use AI as your revenue intelligence engine

Orgil’s presentation will explore how AI can transform quote-to-revenue operations across four critical dimensions:

Predective revenue intelligence Revenue Insights

Forecasts are only as good as the commercial data. Capture real-time configurations, pricing rationale, approval outcomes, and pipeline movement in a structured layer so AI models and agents can surface trends and risks through natural prompts.

Dynamic Pricing Optimization Quote Optimization

AI can’t optimize quotes without live visibility into pricing, product eligibility, configurations, margin policies, approval thresholds, and past deal performance. With that context, it recommends right-sized packages, guardrailed discounts, the shortest approval path, and next-best actions—maximizing win rates while protecting revenue.

Risk aware contract management Contract Risk Management

AI contract analysis requires contracts to be linked to their commercial context. When terms, pricing, and approvals are connected, AI flags risky language, suggests fallback clauses, and accelerates legal review.

Intelligent deal configuration Buyer Collaboration

Engage buyers directly by answering ROI questions, surfacing case studies, and summarizing key reasons to buy. It guides prospects through options, personalizes proposals, provides omni-channel interactions, delivers behavioral insights, and suggests next-best actions—all powered by the data you provide.

What RevOps leaders will gain

Revenue operations leaders attending Orgil’s keynote will walk away with a practical framework for evaluating—and activating—AI readiness across their quote-to-revenue processes. The presentation will address the fundamental question: how do you move from AI experimentation to a fully realized, AI-powered competitive advantage?

Key insights will include:

  • Where to prioritize AI efforts for the highest revenue impact
  • How to build the structure for AI success by reengineering fragmented workflows 
  • How to leverage connected GTM data for real-time, AI insights

Join the conversation at INBOUND 2025

Most companies are focusing AI efforts at the top of the funnel, but the real revenue impact comes when AI is embedded into the quote-to-revenue process. And forward thinking leaders must start developing this competitive advantage if they want to stay ahead of the pack. 

Join Eyal Orgil at INBOUND 2025 on September 4 at 10 am PT for an exploration of how AI can accelerate your quote-to-revenue engine. The session will provide both strategic insight and practical guidance for RevOps leaders ready to unlock AI’s potential for sales readiness, deal optimization, and governance.

Can’t make the keynote? Visit the DealHub team at Booth #65 in Moscone South for one-on-one discussions about how HubSpot and DealHub combine to create the most powerful AI-powered GTM platform, delivering the speed and control that your revenue operations demand.

INBOUND 2025 runs September 3-5 at the Moscone Center in San Francisco. Register here to secure your spot for this critical conversation about the future of AI-powered revenue operations.

Related Glossaries
Revenue Target Quote-to-Revenue (Q2R)
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