Outreach releases Omni to run revenue workflows through AI agents

Outreach added Omni and Agent Studio to push revenue tech from insights to execution, as sales engagement and RevOps tools converge around AI agents.

Outreach releases Omni to run revenue workflows through AI agents

Outreach has rolled out its Spring 2026 product release centered on Omni, a conversational interface designed to turn revenue insights into actions across the deal cycle. The update also includes Agent Studio for building and scheduling custom agents, plus a set of new and expanded AI capabilities for meeting prep, deal updates, risk alerts, conversation analysis, and coaching automation.

Alongside the product release, Outreach says it has rebranded its website to Outreach.ai, reflecting a push to position the platform as AI-native for revenue team execution and orchestration.

Short on time?

Here’s a quick look at what’s inside:

What Omni and Agent Studio add to Outreach’s platform

Omni is positioned as a universal conversational layer for revenue teams, where users can ask questions, follow up, and execute actions in the same interaction, such as sending emails to address objections or checking deal risks. Outreach says Omni is available in Slack and its mobile app, which suggests a workflow design aimed at meeting sellers where work already happens rather than pulling them into a separate UI.

Agent Studio is aimed at RevOps teams, offering a visual canvas and templates to build and schedule specialized agents. Outreach is also expanding its “Knowledge” capability so AI responses can be grounded in company-approved content, with features like Smart Account Assist and Personalization Agent referencing that source of truth.

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How AI agents are reshaping sales execution and RevOps workflows

Revenue tech is shifting from insight surfaces to execution systems. Instead of dashboards that require manual follow-up, platforms increasingly aim to detect signals, recommend next steps, and complete workflow actions with human approval. In that context, a conversational interface like Omni is less about chat and more about reducing the time between “knowing” and “doing.”

This also reflects convergence across sales engagement, conversation intelligence, and forecasting. AI Topics Explorer and Outcomes reporting point toward a model where conversation data, engagement signals, and deal attributes are tied to playbooks and coaching loops, which can standardize behaviors beyond top performers.

How Outreach competes with Salesloft, Gong, Apollo.io and Clari

Outreach competes in a crowded revenue technology landscape that spans sequencing, conversation intelligence, pipeline inspection, and forecasting. Salesloft is a direct rival in sales engagement, Gong is a well-known player in conversation intelligence, Apollo.io blends prospecting and engagement, and Clari is associated with forecasting and revenue operations.

The competitive angle in Outreach’s release is the emphasis on agentic execution: agents that can prepare for meetings, push deal field updates into Slack for approval, flag risks, and automate coaching via Smart Kaia Coach. The market question is whether buyers prefer an integrated “execution plus governance” approach in one platform, or a best-of-breed stack stitched together across engagement, CI, and forecasting tools.

What revenue and marketing leaders should prioritize in rollout

Outreach lists capabilities that can touch messaging, deal process, and coaching, so rollout decisions will influence consistency across the customer-facing team. Practical priorities to validate include:

  • Governance: which actions agents can take autonomously versus requiring approval, especially for outbound messaging.
  • Content control: how “Knowledge” is curated, updated, and enforced so personalization does not drift from approved positioning.
  • Measurement: whether Outcomes reporting and topic insights can be tied to changes in win rates, cycle time, or forecast accuracy.
  • Change management: how coaching automation is communicated to reps and managers to avoid mistrust and “shadow workflows.”

Outreach says the platform is used by thousands of revenue teams and names customers such as Databricks, SAP, Siemens, and Verizon. For evaluators, the next step is translating agent features into a clear operating model: what gets automated, what gets standardized, and what remains a human judgment call.

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