Optimize seller performance, improve pipeline focus, and unleash faster revenue growth using AI
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Redefine Revenue Growth in an AI‑Led Sales Era
By 2027, 95% of seller tasks will involve AI
Sales is at an AI‑driven inflection point. AI is no longer optional — it’s reshaping workflows, improving decision‑making, and redefining what productivity and revenue growth look like in modern sales organizations.
The CSOs who act now will capture new growth, simplify seller work, and set the pace for the next era of commercial excellence.
Download this guide to:
- Target high‑impact AI use cases that speed pipeline creation
- Streamline selling motions to drive faster, more consistent revenue growth
- Activate AI as a teammate so sellers work smarter and deliver greater impact
Challenges slowing revenue growth in an AI‑driven sales environment
Sales organizations are facing structural pressures that traditional tactics can’t solve. These emerging challenges are reshaping how revenue is created — and why CSOs need a new model.
Manual workflows limit seller productivity and slow pipeline progress
Sellers are still spending significant time on research, prioritization, and message preparation — even as AI is reshaping how quickly this work can get done. These manual steps are creating drag across the sales cycle and interrupting pipeline momentum, slowing overall sales productivity. As selling motions become more complex, these inefficiencies are directly affecting revenue growth and making it harder for teams to keep pace with shifting expectations.
Buyer expectations are rising faster than sales teams can adapt effectively
Buyers are coming to conversations more informed, more selective, and supported by AI‑powered tools that help them make decisions quickly. Sales teams, however, are still relying on inconsistent processes that can’t match this speed. This gap is leading to slower engagement, missed moments of influence, and pressure on revenue growth.
Revenue engines built on headcount and activity no longer scale sustainably
Hiring more sellers or increasing activity targets isn’t delivering the same impact in a world where AI in sales is reshaping how capacity and coverage are built. Budget constraints, talent shortages, and rising expectations are exposing the limits of traditional growth models. Without AI‑enabled processes to expand coverage and improve consistency, organizations are struggling to support predictable revenue growth and maintain performance in a more demanding sales environment.
Revenue growth FAQs
What is revenue growth?
Revenue growth is determined by measuring the increase in a company’s sales income over a specific period of time. Tactics for driving revenue growth include acquiring new customers, increasing customer retention rates, expanding into new markets and offering new products.
What workflows are associated with revenue growth?
Businesses may define a number of different workflows that contribute to revenue growth, including:
Customer onboarding to improve customer satisfaction and the likelihood of renewal or retention
Product utilization to demonstrate the value of the product or service and create opportunities for cross- and upselling
Issue resolution to improve customer satisfaction rates
Customer feedback to gather information that helps ensure the product or service’s ongoing value and return on investment
Customer endorsement to strengthen the seller-buyer relationship and increase customer acquisition rates
Related resources on revenue growth
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Gather alongside your peers in Las Vegas to gain insight on emerging trends, receive one-on-one guidance from a Gartner expert and create a strategy to tackle your priorities head-on.
19 – 20 May 2026
Gartner CSO & Sales Leader Conference
Las Vegas, NV
Drive stronger performance on your mission-critical priorities.