Salesforce today announced that it has been recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for Conversational AI Platforms — the company’s first time named in this report.
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Conversational AI built around the customer
Across two years and millions of resolved conversations, our customers have taught us that conversational AI succeeds or fails on outcomes. We believe that’s why Salesforce is a Leader in this report. Delivering those outcomes at enterprise scale requires the right conversational AI platform: one that grounds every agent in live customer context, governs how agents execute, reaches customers on every channel, and improves with every outcome. Salesforce built that platform by unifying five enterprise systems, context, work, insight, agency, and engagement, into a single architecture for building the conversational AI agents our customers need.
Here’s how that architecture delivers today:
- Build Agentforce agents headlessly, then scale with a complete lifecycle — Agentforce empowers organizations to build AI agents across the customer experience. Powered by the Headless 360 platform, a complete self-optimizing agent development lifecycle (ADLC), and built-in guardrails – enterprises have a complete foundation for building, governing and scaling conversational AI agents.
- Data 360 – a unified system of context for accurate conversational AI. A context graph, zero-copy access, and 270+ connectors let agents reason over live customer data instead of stale exports or siloed systems.
- Built on Customer 360, and Optimized for Industry Adoption — More than 300 prebuilt subagents and actions and 20+ industry clouds plug agents directly into the workflows and case data teams already run on, not a layer bolted on top.
- Agent Script – deterministic control over agent behavior. Pairs required business logic with LLM reasoning so that critical steps always execute in order while the LLM handles nuance and variation.
- One agent. Any channel. Text or speech. One runtime — Agentforce Voice brings the same agent, reasoning, and customer context to the phone, the channel where trust is won or lost, and Agentforce Contact Center unifies voice, digital, and human agents in one place. Customers never re-explain themselves, and service teams never juggle disconnected systems.
- Agents and employees, working together in Slack — Slack brings agents, employees, and their platforms into one shared conversational layer where work happens, with Slackbot as the contextual employee agent helping people get more done.
- Pay for outcomes — Build a Help Agent in minutes through a guided setup, deploy it across every channel, and pay only when it resolves an issue autonomously, start to finish. Escalation or an unhappy customer? No charge.
From our team
“Everything we’ve learned about conversational AI, we’ve learned alongside our customers. They told us it breaks down at enterprise scale when it’s not built on real customer data, can’t take action using their workflows, and can’t be trusted to follow the rules of the business. We built Agentforce to solve those challenges, and we believe being named a Leader in our first year in this Gartner Magic Quadrant validates the direction we’ve taken together.”
— Ryan Peterson, SVP, Agentforce Voice
Our customers are seeing it work
“We did not approach Agentforce Voice as a call-deflection tool. We approached it as a way to redesign the service model responsibly, using AI for routine questions, preserving human capacity for higher-value conversations and building the guardrails needed to scale with trust.”
— Ashley Falls, Chief Information Technology Officer, Florida Prepaid
“Agentforce has completely changed the way our recruiters connect with top talent around the world, saving as much as 15 minutes per interview. This has allowed us to go from a 10% prescreening rate, to reaching 100% of our candidates. It’s truly been a game changer.”
— Niki Turner-Harding, Senior Vice President and Country Head, Adecco UK and Ireland
“What makes this especially powerful is the seamless integration across our digital experience, call center, and backend platforms.”
— Zing Health
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Gartner and Magic Quadrant are a trademark of Gartner, Inc., and/or its affiliates. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Salesforce.
Gartner, Magic Quadrant for Conversational AI Platforms, 7 July 2026, Gabriele Rigon Et Al.
