Dash

Dash is an AI teammate that works directly inside Slack and Microsoft Teams. Instead of opening another dashboard, your team can ask Dash for help in the channels where work already happens. Dash can answer questions, use shared skills, connect with more than 3,000 tools, prepare work for review, and complete approved actions across the systems your team uses every day.

Teams can use Dash for practical work across sales, marketing, customer support, operations, and engineering. A sales leader can ask for a current pipeline summary from HubSpot. A marketing team can review Google Ads performance and prepare recommended changes. A support team can triage Zendesk tickets and draft replies. An engineering team can investigate a failing test, prepare a fix, and open a GitHub pull request after approval. The conversation stays in Slack or Microsoft Teams, while Dash handles the connected work behind it.

Dash is built around shared organizational context. Teams can create reusable skills that explain how work should be done, which systems to use, and what rules must be followed. Those skills can be shared across a workspace so every person does not have to rebuild the same prompts or explain the same process. Over time, Dash learns the team's tools, terminology, and operating patterns, which makes recurring work faster and more consistent.

Human approval is part of the workflow. Dash can research, analyze, draft, and prepare actions, but sensitive or external steps can be held for review in the channel. That lets teams use AI for real operational work without giving up visibility or control. People can see what Dash plans to do, review the output, and approve the action from the same conversation.

Dash connects to more than 3,000 tools. Common examples include HubSpot, Google Ads, Zendesk, GitHub, and the everyday systems teams already rely on. These connections let Dash move beyond answering questions. It can gather current information, combine context from multiple sources, create drafts, update systems after approval, and report the result back to the team.

Dash is designed for teams that want an AI teammate rather than another isolated chatbot. It is useful for agencies managing campaigns and client reporting, support teams handling high ticket volume, sales teams monitoring pipeline activity, operations teams coordinating repeatable work, and engineering teams maintaining software. Because Dash lives inside shared channels, the work is visible to the people who need to review it and reusable by the rest of the team.

Getting started does not require a credit card. New workspaces receive free credits, so teams can connect Dash to Slack or Microsoft Teams, add their first tools and skills, and test a real workflow before deciding how broadly to use it.

A typical workflow starts with a request in a shared channel. A teammate can ask Dash to inspect a campaign, review a customer issue, summarize a pipeline, or investigate a software problem. Dash gathers the relevant context from connected systems, shows the team what it found, and prepares the next step. If the action needs approval, the responsible person can review it in context before anything external or destructive happens. The result is then returned to the same channel, so the team has a visible record of the work.

This channel-first model also helps teams standardize how AI is used. Shared skills can carry the instructions, references, and guardrails for a process, rather than leaving every employee to invent a prompt. A skill can specify which source to trust, how to format the result, which approvals are required, and where the completed work belongs. Teams can improve that shared process once and make the better version available to everyone.

Dash comes from the team behind Process Street, with more than ten years of experience building workflow and process automation software. That background shapes the product around repeatable work, shared operating knowledge, permissions, and approvals. The goal is practical: help a team complete useful work from the collaboration tools it already uses, while keeping people in control of consequential actions.