Most software companies spend years protecting the product that made them successful. Outreach is taking the opposite approach. The Seattle-based revenue software company built its reputation helping sales teams automate outreach and engagement. It became one of the defining companies in the sales engagement category and earned recognition from Gartner, IDC and Forrester along the way. But internally, executives have come to a blunt conclusion: software that depends on humans doing all the work isn’t where enterprise AI is headed.
That’s why Outreach is rebuilding itself around something much bigger than sales engagement. Its long-term bet is that AI won’t simply help revenue teams work faster. It will become part of the team.
It’s a risky strategy. It also may be the company’s biggest growth opportunity.
CEO Abhijit Mitra has repeatedly described Outreach as an underdog, and it’s a label that fits. His own career didn’t follow the traditional Silicon Valley script, and neither did the company’s rise. One of Outreach’s earliest customer success managers came outside the industry, without a conventional sales software background, reinforcing a philosophy that still shapes the company’s hiring today: look for people who can learn quickly instead of checking every experience box. That thinking now extends well beyond hiring.
Mitra often talks about encouraging teams to “reach beyond your reach.” The phrase isn’t about unrealistic optimism. It’s about aiming high enough that even falling short changes what’s possible. If you’re building toward a billion dollar outcome, a $500 million result suddenly looks a lot more attainable. Inside Outreach, that mindset has become part of how the company thinks about AI and growth.
Reimagining Revenue Workflows
The bigger shift, though, is happening inside the product. For years, software companies competed by adding more features. Then AI arrived, and many vendors responded the same way: bolt a chatbot onto an existing platform and call it innovation. Outreach is betting that approach won’t last.
Instead of treating AI like another feature, the company embedded it directly into revenue workflows. The platform is designed to research accounts, summarize customer interactions, prepare meeting briefs, identify risks, and execute repetitive work inside the sales process rather than simply recommending what someone should do next. Outreach describes these AI agents as teammates that expand a seller’s capacity instead of acting as another dashboard.
Most revenue organizations don’t actually suffer from a lack of information. They already know which deals are slipping. They know which customers need attention. Their biggest constraint is time. Every hour spent updating CRM records, preparing call notes or chasing internal information is an hour not spent talking to customers. If AI can reliably remove those tasks, software starts looking less like another productivity tool and more like additional capacity.
Historically, enterprise software purchases often flowed through technology departments. AI is creating an interesting tension. IT controls infrastructure, governance and budgets, but RevOps teams understand how revenue organizations actually function. Outreach believes the opportunity resembles the early rise of CRM, when Sales Operations became powerful buyers because they understood the business problem better than the technology organization.
Looking to the right buyers, like GTM leaders, versus taking everything to IT is a subtle positioning move, but potentially an important one if AI buying decisions continue shifting toward business leaders. The company is also making another long-term bet that could prove significant.
Today, most enterprise AI conversations revolve around frontier models. Outreach believes those models will eventually become interchangeable, with routing systems automatically selecting whichever model performs best for a given task. If that happens, the competitive advantage moves somewhere else.
Mitra argues that domain expertise becomes the moat. Large language models may understand language, but they don’t automatically understand how enterprise sales organizations operate. Outreach has spent years collecting sales workflow data, customer interactions and revenue context. The company’s view is that this context layer and not the underlying model itself is what customers will ultimately pay for.
That thinking also explains why Outreach expects packaged AI agents to become the norm over the next few years.
Early adopters are building custom AI workflows today, much like companies once built custom ERP and CRM systems before standardized enterprise platforms emerged. Outreach believes AI will follow the same pattern. Businesses won’t want to maintain hundreds of hand-built agents forever. They’ll increasingly buy proven, purpose-built agents that already understand specific business functions.
Whether that vision plays out remains to be seen, but the logic is familiar. Enterprise software has repeatedly rewarded companies that simplify complexity rather than asking customers to build everything themselves.
Outreach isn’t simply launching another AI feature into an already crowded market. It’s trying to redefine what a revenue platform looks like at a time when nearly every enterprise software company is rewriting its roadmap. If the company is right that AI shifts value from software features to execution, context and autonomous workflows, it won’t just have refreshed its product portfolio.
It may have found its next growth engine before much of the market catches up.
