Day AI

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.

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.

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?

1. 1

   Connect your tools: Link Gmail, Calendar, Zoom, Gong, and Slack to start building customer memory.

2. 2

   Describe your process: Explain your sales stages, methodology, and segments in plain English.

3. 3

   Deploy an agent: Give an agent a job description and the skills it should run.

4. 4

   Let it work: The agent reviews pipeline, flags deals, and drafts follow-ups on a schedule.

5. 5

   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

FAQ from Day AI

• What is Day AI?

  Day AI is an AI-native CRM and go-to-market platform where agents build shared customer memory from every call, email, and meeting, then automatically do work like pipeline review, prospecting, and follow-ups for review.

• How is Day AI different from a traditional CRM?

  Traditional CRMs make you define structure and log data first. Day AI captures what actually happened first and structures it later, so agents work from real conversations rather than manually logged entries.

• How does pricing work?

  Day AI charges per agent, not per seat or per query. There is a free tier for teammates, plus Turbo, Professional, and Executive agent tiers, with annual billing available at a discount.

• Which tools does Day AI integrate with?

  It integrates with Google Workspace, Zoom, Gong, and Slack, plus Zapier and MCP servers, and runs its own MCP server so Claude, Cursor, or other agents start with customer memory loaded.

• Can agents take real actions?

  Yes. Agents run on schedules and events, and can take real action in external systems when allowed, such as updating pipeline stages or drafting and queuing follow-up outreach for review.

• How does Day AI handle security and privacy?

  Day AI maintains a SOC 2 Type II report, encrypts data at rest and in transit, and uses scoped per-user access. Data is not used to train third-party models.