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Komo is an autonomous AI operations platform designed to transform how professional teams work. Unlike traditional AI tools that simply answer questions, Komo takes action—executing complete multi-step workflows, conducting research internally and externally, managing operations, and delivering results autonomously across connected tools and infrastructure.
At the core of Komo is the Playbook feature, which converts Standard Operating Procedures into living, adaptive automations that AI agents can execute continuously. Teams can create playbooks through natural language descriptions, a structured editor, imported documentation from Notion or Confluence, or by recording a process via video. Once deployed, playbooks run autonomously triggered by emails, Slack messages, scheduled times, or external events.
Komo Search provides professionals with an AI-powered answer engine that delivers precise, cited responses sourced from web search, academic research, social sentiment, news trends, video content, and blog publications. Every claim is backed by inline citations and a Fact-Check sidebar showing direct quotes from source pages.
The platform integrates with over 100 tools including Gmail, Slack, Salesforce, HubSpot, Notion, GitHub, Jira, Snowflake, PostgreSQL, Datadog, and Stripe. Komo supports parallel execution of thousands of agents and operates 24/7, enabling teams in security, finance, customer success, sales, HR, and operations to automate high-volume workflows without scaling headcount.
- Automating compliance review workflows by extracting filings and generating summary reports for analysts
- Converting team SOPs into executable AI playbooks that run autonomously across connected business tools
- Conducting competitive intelligence research with verifiable citations from multiple web and academic sources
- Automating customer onboarding by mapping steps to Salesforce, Slack, Stripe, and Zendesk simultaneously
- Executing security incident response protocols automatically from alert triage through documentation
- Running structured batch research and data enrichment across hundreds of records simultaneously
- Monitoring pipelines and flagging exceptions 24/7 without manual oversight from operations teams
- Processing financial operations such as invoice management and month-end close across Stripe and QuickBooks
- Searching academic, social, video, and news corpora simultaneously for comprehensive professional research
- Scheduling and triggering agent playbooks based on email receipt, Slack commands, or calendar events
- Managing sales intelligence workflows including prospect research, CRM updates, and team notifications
- Analyzing documents and data rooms using AI agents to surface key findings for deal teams
