15 May 2026 · 4 min read
Introducing Echo, the AI employee for Slack
A teammate that lives where work happens, connects to your tools, and comes back with finished output.
Hayley · Echo
For most teams, the cost of growth is not headcount, it is context. Every new tool means new tabs, more spreadsheets, another inbox to watch. The work that matters keeps getting buried under the work it takes to coordinate the work.
We built Echo because we lived this. We wanted a coworker who could read the data, write the doc, post the update, and ship the change without making us schedule a meeting first. Not a chatbot to converse with. A teammate to delegate to.
Echo lives in Slack. It connects to the tools your team already pays for. You ask once, in plain English, and it returns finished work. A drafted reply. A reconciled report. A built page. The output card is the conversation.
There are three things we will not do. We will not train models on your data. We will not charge by the seat. We will not change external data without asking first. Trust is the product. Everything else is a feature.
If that sounds useful, add Echo to your Slack. The first $50 of work is on us.
Frequently asked questions
- What is Echo?
- Echo is an AI employee that lives in Slack, connects to the tools your team already uses, and returns finished work from a plain-English request, rather than a conversation to manage.
- How is Echo different from a chatbot?
- A chatbot talks. Echo finishes work: drafts, reports, reconciliations, and deployed pages, posted in the Slack thread where you asked. It asks before changing anything external and never trains on your data.