Real Examples of AI in Sales: How Teams Increase Pipeline and Win Rates

ServiceNow expanded prospect outreach. SolarWinds improved outbound performance with AI-powered win-back campaigns. These are real results from sales teams using AI agents today, and they point to a broader shift in how GTM teams get revenue work done. 

For sales leaders evaluating AI in sales examples, the question has moved past "should we adopt AI?" to "where do we start and what results can we expect?" In this article, we’ll break down seven proven use cases from enterprise rollouts, including measurable customer outcomes at ServiceNow and SolarWinds.

These examples come from customer interviews shared during our annual customer conference Unleash 2026, where ServiceNow and SolarWinds discussed their AI journeys alongside Nithya Lakshmanan, Chief Product Officer at Outreach.

What is AI in sales?

Sales AI is a category of technology where AI agents, systems that can take actions and complete tasks independently rather than only responding to direct prompts, execute revenue work on behalf of sellers. That work spans research and outreach to deal updates and risk monitoring. 

Previous technology waves changed specific parts of the sales process: CRM changed how teams track deals, sales engagement changed how teams reach buyers, and conversation intelligence enabled teams to capture customer interactions. 

That move from advising to acting is the next phase of agentic AI in revenue. 

As Nithya noted during: "What AI is bringing to the industry today is not just another progression. It is a transformation moment."

Why AI in sales matters: the measurable impact

Sellers spend a significant share of their time on activities that support selling but are distinct from selling itself: researching accounts, preparing for meetings, gathering context, chasing next steps, updating CRM, and following up after calls. As Nithya put it, "That is a lot of work, but most of it is not selling."

The payoff from handing that work to agents is measurable. In his keynote during the conference, Outreach CEO Abhijit Mitra cited customers reclaiming up to 10 hours per rep per month, and the Outreach Insights Group's Agent Productivity Impact Report found AI cuts meeting prep by 50 percent. 

Customer stories show the revenue impact directly: Renaissance reached a 93 percent conversion rate from meetings to opportunities, and Workato saw a 68 percent increase in identifying expansion opportunities. Across Outreach customers, the pattern holds: a 60 percent increase in seller productivity and a 26 percent increase in win rates.

7 real-world AI in sales examples driving revenue results

These AI in sales examples come directly from ServiceNow and SolarWinds rollouts, with outcomes shared by their executives.

Example 1: Prospect outreach acceleration

ServiceNow rolled out AI agents to help sales executives systematically reach more contacts within target accounts. They shared early results including an increase in the number of accounts contacted by sales executives and an increase in prospects contacted within those accounts. This is what’s possible when execution friction is reduced.

Example 2: Win-back campaigns for closed-lost opportunities

SolarWinds built a win-back motion targeting closed-lost opportunities where sellers had not been following up. Agents identify which accounts to re-engage closed-lost, conduct account research, personalize messaging, and automate outreach. 

The result: reply rates get to nearly double the company's standard outbound sequences. Hamish expressed excitement at how they’ve been able to use agents to identify and do account research, determine which accounts to go back after, personalize the message, and then automate that message.

Example 3: BDR motion automation

The BDR motion at SolarWinds previously required cross-functional time across sales, marketing, and data teams to pull data, design the motion, assign accounts, and personalize outreach. AI agents now handle account identification, research, personalization, and sequence enrollment, dramatically reducing the manual effort part of this process.

Example 4: Meeting preparation and context gathering

The Meeting Prep Agent delivers attendees, talking points, and conversation context to sellers automatically before meetings. Sellers enter every conversation informed, with full context from prior interactions, without spending time manually reviewing notes or searching across systems.

Example 5: Automated deal updates and CRM hygiene

Agents capture signals directly from conversations and surface recommended CRM updates for review. Leaders get more accurate forecasts grounded in real-world activity, and sellers save time on administrative data entry.

Example 6: Retention risk monitoring

Agents monitor every account for churn signals: a manager change mentioned on a call, a budget concern in an email thread, a shift in engagement patterns. As Nithya described, "Our agents monitor every account and surface those risks in time so your teams can make sure the renewal stays on track." This expands account management coverage without asking sellers to manually inspect every account.

Example 7: Underserved account coverage

Both organizations began by deploying AI agents in areas where seller capacity was limited. This approach helped create market penetration without additional headcount.

What makes these results repeatable

These outcomes are not one-off wins. Outreach, the only agentic AI platform for revenue teams, is the first revenue orchestration platform to launch an MCP client, connecting agents to knowledge across the tools these teams already use, which is what lets the examples above run on real, current data rather than stale CRM fields.

The rollout pattern is consistent too. Both companies started where humans lacked capacity, underserved accounts and closed-lost follow-up, then measured results before expanding into higher-stakes motions. 

That phased approach, a two-speed rollout measured against clear metrics, anchors the sales leader framework for implementing AI agents.

Putting these AI sales examples to work

AI in sales has moved from experimentation to production, with companies like ServiceNow and SolarWinds achieving gains in pipeline coverage, outbound performance, and seller productivity. 

The common thread across these AI in sales examples: success comes from treating AI agents as teammates, putting them where they can act autonomously, and letting humans focus on relationships and judgment. 

"AI has gone beyond experimentation. It is actually driving productivity, driving results." - Nithya Lakshmanan, CPO Outreach

Frequently asked questions about AI in sales examples

What is AI in sales?

AI in sales is a category of technology where AI agents, systems that can take actions and complete tasks independently rather than only responding to direct prompts, execute revenue work on behalf of sellers. That work spans prospect research and outreach to deal updates, CRM hygiene, and risk monitoring.

Where should a sales team start with AI?

The strongest first use cases are motions where human capacity is already limited: underserved accounts and long-tail territories, closed-lost re-engagement campaigns, and repetitive tasks like meeting prep and follow-up emails. Both ServiceNow and SolarWinds started in these low-risk, high-visibility motions before expanding AI into higher-stakes workflows.

How does AI improve win rates in sales?

AI improves win rates by eliminating the administrative work that keeps sellers away from customers, providing more relevant outreach through personalization at scale, surfacing deal risk signals earlier, and enabling managers to coach based on patterns across all conversations rather than a handful of manually reviewed calls. Across Outreach customers, AI agents have driven a 26% increase in win rates.

What results have companies seen from AI in sales?

Results from enterprise AI in sales rollouts include: ServiceNow reaching 330% more prospects within target accounts, SolarWinds achieving roughly 45% reply rates on AI win-back campaigns (nearly double standard outbound), Renaissance reaching 93% meeting-to-opportunity conversion, Workato seeing 68% more expansion opportunities identified, and Outreach customers overall reporting 60% higher seller productivity.

‍