Scale GTM results, without scaling headcount
Relevance AI is a low-code AI platform designed to build an “AI Workforce” of autonomous agents that automate complex business workflows across sales, marketing, and operations. It enables teams to create multi-agent systems, integrate with 2,000+ tools, and run signal-driven automation, improving efficiency, decision-making, and scalable workflow execution without heavy engineering effort.
Relevance AI is a low-code AI platform designed to build an “AI Workforce” of autonomous agents that automate complex business workflows across sales, marketing, and operations. It enables teams to create multi-agent systems, integrate with 2,000+ tools, and run signal-driven automation, improving efficiency, decision-making, and scalable workflow execution without heavy engineering effort.
Relevance AI is a low-code platform designed to build and manage an “AI Workforce” of autonomous agents that can automate complex business workflows across sales, marketing, research, and operations. It enables users to create single or multi-agent systems that collaborate to complete tasks such as lead enrichment, content generation, and data analysis without coding. The platform offers features like visual workflow builders, pre-built templates, and integrations with external tools to streamline end-to-end automation. AI agents can be triggered by signals, interact with multiple data sources, and continuously optimize workflows. Common use cases include outbound automation, market research, customer support, and operational efficiency. By combining AI agents, integrations, and automation workflows, Relevance AI helps teams reduce manual work, improve decision-making, and scale intelligent operations efficiently.
Relevance AI is built for B2B SaaS teams, operations leaders, growth marketers, and product teams at startups to enterprise companies. It fits automation-first, data-driven organizations seeking to deploy AI agents, streamline workflows, and scale operations across sales, marketing, and support without heavy engineering resources.
What's included
What's included
What's included
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Vendor credits are prepaid AI usage credits that cover costs when agents generate outputs, process data, or run LLM-based tasks. They are separate from actions, giving clear visibility into AI costs and can be replaced by connecting your own API keys. :contentReference[oaicite:0]{index=0}
Relevance AI provides pre-built agent templates, including BDR agents, which can be used or customized within the platform. Availability depends on how you configure agents, rather than being restricted to a single plan.
Companies interested in enterprise plans can contact the Relevance AI sales team to access custom pricing, dedicated onboarding, advanced security controls, and tailored implementation for scaling AI workforce operations.
Yes, Relevance AI offers a free plan that allows users to build and test AI agents without entering a credit card, making it easy to explore workflows and platform capabilities before upgrading.
Relevance AI uses encryption for data in transit and at rest, follows SOC 2 compliance standards, and restricts access to sensitive data through strict internal controls, ensuring secure handling of customer and workflow data. :contentReference[oaicite:1]{index=1}
Actions represent units of work performed by agents, such as running workflows or tasks, while vendor credits cover the underlying AI model usage. This separation helps teams track execution and AI costs independently. :contentReference[oaicite:2]{index=2}
Teams can purchase additional credits or upgrade to higher plans to continue running workflows. Credit usage can also be monitored and optimized based on agent activity and automation needs. :contentReference[oaicite:3]{index=3}
Relevance AI agents can automate workflows such as lead enrichment, outbound sales, customer support, research, and data processing by combining multiple tools and actions into a single automated system.
Yes, Relevance AI supports multiple LLM providers like OpenAI, Anthropic, and Cohere, allowing teams to switch models or use multiple providers within the same workflows for flexibility and cost optimization. :contentReference[oaicite:4]{index=4}
The platform provides usage tracking, activity monitoring, and cost visibility at both organization and agent levels, helping teams analyze performance, optimize workflows, and control automation costs effectively. :contentReference[oaicite:5]{index=5}
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