Description
Day AI is an agentic go-to-market platform and AI-native CRM. Instead of requiring reps to log data, it builds Customer Memory automatically from every call, email, meeting, and Slack message a team has ever had, so agents know what happened, what was promised, and what to do next.
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At its core are AI agents with standing roles rather than one-off prompts. Each agent has a defined job description, persistent context, and skills that run on schedules or in response to events. Agents review pipeline every morning, flag at-risk deals, draft follow-ups, build prospect lists, and take real actions in external systems when allowed, handing back finished work for review with sources and evidence for every insight.
The platform lets teams describe their sales methodology, stages, and segments in plain English, and the pipeline updates itself from conversations with no manual logging. It includes analytics and evaluation, granular permissions and audit trails, and GTM Brain, a RevOps harness for deploying and updating agent behavior across a team. Day AI is optimized for frontier models such as Claude and runs an MCP server so tools like Claude and Cursor start with customer memory already loaded.
It integrates with Google Workspace, Zoom, Gong, Slack, Zapier, and MCP servers. Pricing is per agent rather than per seat, with a free tier for teammates plus Turbo, Professional, and Executive agent tiers. Day AI maintains a SOC 2 Type II report and encrypts data in transit and at rest.
- CategoryAI CRM Tools
- Pricing ModelFreemium
- DeploymentCloud
- PlatformsWeb
Day AI's Core Features
Customer Memory built automatically from calls, emails, and meetings
AI agents with defined jobs, skills, and schedules
Self-updating pipeline described in plain English
Plain-language questions answered across all customer history
Every insight traceable to its source conversation
Analytics, evaluation, and the GTM Brain RevOps harness
Integrations with Google Workspace, Zoom, Gong, Slack, and Zapier
MCP server to connect Claude and other AI agents
How to use Day AI?
Connect your tools: Link Gmail, Calendar, Zoom, Gong, and Slack to start building customer memory.
Describe your process: Explain your sales stages, methodology, and segments in plain English.
Deploy an agent: Give an agent a job description and the skills it should run.
Let it work: The agent reviews pipeline, flags deals, and drafts follow-ups on a schedule.
Review the output: Approve finished work and trace each insight back to its source.
Day AI's Use Cases
- Pipeline management
- Prospecting
- Follow-up automation
- Customer knowledge base
- RevOps at scale
