Okou

Okou is a cross-functional AI teammate that lives in team channels, connects to 3,000+ tools and delivers finished work such as sites, decks, reports, tickets and scheduled digests, with human approval on key actions.

Okou is an AI teammate built for teams that want work completed rather than merely suggested. Instead of a chat window that returns text, it sits inside team channels, takes a request from a colleague, reaches into the tools the team already uses, and returns a finished result: a published web page, a drafted email, a rebuilt slide deck, a set of tickets or a scored list of leads. The homepage frames this as giving the assistant a job and a role, not a prompt. The examples shown on the site make the pattern concrete. In a launch channel, a marketer asks for a hotel one-pager and Okou reads the brand brief, publishes the page and leaves a launch note drafted in Gmail for a human to send. In a paid acquisition channel it explains where ad spend is drifting, prepares a budget shift as a draft in Meta Ads and pushes it live only after a teammate approves. Other scenarios include grouping a night of Sentry errors by root cause and opening GitHub issues for the serious ones, writing a product spec from customer feedback with linked Linear issues, scoring inbound leads into a sheet and HubSpot, and compiling a weekly team digest on a schedule. A board deck can even rebuild itself before each meeting from a finance sheet. Connectivity is the other half of the pitch. Okou advertises more than 3,000 connectors to common business tools, its own APIs and a model picker that spans several AI providers. Context is shared across the team, so what one person teaches the assistant becomes available to everyone. Okou fits between general chat assistants and traditional automation builders. It is aimed at cross-functional groups in marketing, sales, engineering, product and operations that want agent-style execution with human approval at key steps, without hiring more people. Buyers comparing it with coding agents or workflow platforms should weigh how much of the actual setup happens through conversation, and test it on one recurring task first.