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Relevance AI is a platform for building and deploying autonomous AI agents and multi-agent workforces designed to scale go-to-market operations without increasing headcount. It allows GTM teams to delegate research, CRM updates, email drafting, outbound prospecting, inbound qualification, and pipeline management to AI agents that operate 24/7.
The platform offers two primary interaction modes: Copilot, where AI assists human reps by handling specific tasks on request, and Autopilot, where fully autonomous agent workforces run end-to-end workflows triggered by signals and events. Teams can start with assisted tasks and evolve toward self-driving GTM operations over time.
Agents are built using a no-code Agent Builder that requires no engineering background, or through Programmatic GTM using Claude Code and Codex for more advanced implementations. Each agent can be configured with custom prompts, connected tools, triggers, and knowledge bases. Multi-agent workforces can be assembled from prebuilt templates in the marketplace or built from scratch to cover inbound, outbound, onboarding, and expansion motions.
Relevance AI integrates with over 1,000 applications including HubSpot, Salesforce, Slack, Gmail, Apollo, Gong, LinkedIn, Notion, Airtable, and Snowflake. The platform supports agent monitoring dashboards, A/B testing, evaluations, version control with rollback, work hour controls, and multi-org management. Enterprise deployments include SOC 2 Type II compliance, GDPR, SSO with SAML, RBAC, audit logs, dedicated account management, and data residency options.
- Automate outbound prospecting by deploying a BDR agent to engage leads and book meetings around the clock.
- Qualify and route inbound leads in real time using an AI agent connected to CRM and calendar.
- Research every prospect automatically so sales reps enter every call with full account context.
- Enrich CRM records continuously by pulling data from LinkedIn, Apollo, and other sources via AI agents.
- Follow up on stalled deals by triggering personalized nudges based on pipeline signals and CRM activity.
- Automate customer support ticket resolution with an agent trained on the product knowledge base.
- Build multi-agent SDR workforces that handle outbound, enrichment, and meeting scheduling end to end.
- Monitor agent activity and costs through dashboards to track ROI and catch regressions automatically.
- Deploy content repurposing, SEO optimization, and social media agents for marketing automation workflows.
- Run A/B tests on agent prompts and playbooks to optimize performance across GTM motions.
