Day AI

Overview

Day.ai is an AI-native go-to-market platform that deploys autonomous sales agents equipped with persistent customer memory. Unlike conventional automation that merely triggers workflows, Day.ai agents reason across the full context of every call, email, and deal — using a context graph that links all customer interactions and internal GTM decisions. The platform is designed around the idea that reps build relationships while agents handle the operational grind.

Core capabilities include a set of pre-trained, job-specific agents such as CRM Data Specialist, Sales Engineer, RevOps Analyst, Closer Coach, and Business Development Representative. These agents wake on events like meeting transcripts, move opportunities to the correct pipeline stage, cite the evidence for their actions, and either return work for approval or take real action in external systems within policy guardrails. The Agentic GTM Stack brings together memory and knowledge management, an agent platform with skills and automation, analytics and evaluation for continuous improvement, and a customizable work surface that can be managed from Claude Code.

Day.ai is built as a safe choice for enterprise AI go-to-market. It uses pre-processed memory rather than live fan-out connectors reading raw transcripts and emails, which reduces token consumption and latency while improving accuracy at scale. The platform provides granular permissions, background tasks with guardrails, and a harness that lets each seller work hands-on with agents when needed. Every agent action is measurable, so teams can evaluate both business outcomes and the quality of the underlying processes.

The practical value is straightforward: sales professionals no longer receive another to-do list of data entry, pipeline admin, or follow-up drafting. Instead, they receive finished work — updated CRM records, qualified opportunities, evaluation-ready coaching calls, and actionable RevOps insights. Day.ai turns institutional knowledge and agent automation into a revenue multiplier, helping go-to-market teams operate faster, cleaner, and more consistently.

Core capabilities

Customer Memory Graph

Captures every customer interaction and internal GTM decision, linking them so agents understand full context before acting.

Autonomous Sales Agents

Pre-trained, role-specific agents (CRM Data Specialist, Sales Engineer, RevOps Analyst, Closer Coach, BDR) that handle complex multi-step workflows.

Context-Aware CRM Management

Agents read meeting transcripts, identify the associated Opportunity, and move it to the exact earned stage with cited evidence.

Agent Scheduling & Automation

Every agent can be described in plain language, put on a schedule, and triggered by real-world events like meeting completion.

RevOps Analytics & Evaluation

Built-in reporting and continuous improvement tools measure both business results and the effectiveness of automated processes.

Granular Permissions & Guardrails

Background tasks run with strict permission controls, ensuring safe execution and preventing pipeline inflation or unauthorized actions.

Token-Efficient Runtime

Uses pre-processed memory instead of fan-out live connectors, reducing token usage, increasing speed, and improving first-try accuracy.

Harness & Work Surface

Offers a fast customizable interface for sellers, with the ability to manage the entire workspace programmatically from Claude Code.

Use cases

Automatically updating CRM pipeline stages after every customer meeting

Qualifying leads and routing follow-ups based on conversation context

Drafting and delivering sales engineering or technical follow-up content

Generating coaching insights from call transcripts for closers

Monitoring deal health and flagging stage changes with evidence

Producing RevOps reports on pipeline accuracy and process efficiency