Editorial illustration for Ando Launches Team App Where Humans and AI Agents Work Together
Ando Launches AI Agent Team App for Slack
Ando Launches Team App Where Humans and AI Agents Work Together
Sara Du spent much of 2025 helping companies wire up MCP servers, the connective tissue that lets AI agents plug into business software. The same question kept coming up: how do you actually use these agents inside Slack, where most teams already live? The technical answer involved shuttling messages back and forth and feeding agents context without blowing through token limits. But Du kept running into a bigger snag underneath the plumbing.
Her startup, Ando, came out of stealth on Thursday with a team messaging app built for a workplace where AI agents aren't just installed like plug-ins but sit alongside human coworkers as active participants. Ando is pitching itself as a direct replacement for Slack, not an add-on to it. The bet is that the standard chat-app model, built years before agents could hold their own in a project thread, can't stretch to fit what's coming next. Du's time debugging MCP integrations convinced her the fix had to start with the platform itself, not another workaround bolted onto Slack or Teams.
An ideal system would instead let agents “participate in the shared conversations where work already gets coordinated,” Du said. “They should be able to understand why a decision was made, ask a colleague a question, build on another agent’s work, and bring in a human when judgment is needed.”
Why this matters
Slack and Teams were built for humans typing at other humans, and every AI integration since has been a workaround bolted onto that assumption, MCP servers and token budgets included. Du's bet is that agents need to be first-class citizens in the room, not guests routed through a bot API. If Ando pulls that off, it changes the calculus for founders building agent workflows: instead of engineering around Slack's limits, you'd get a platform where an agent can ask a colleague a question or pick up another agent's work without a custom integration layer.
That's a real architectural claim, not a feature bump, and it deserves scrutiny once developers can actually build on it. Coming out of stealth is the easy part. The hard part is whether Ando can convince teams already locked into Slack or Teams to migrate their entire communication stack for a promise about agent collaboration.
We'll be watching for early adopters and, more importantly, for what breaks when humans and agents are actually mixed into the same channel at scale.
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Common Questions Answered
What problem was Sara Du trying to solve when she founded Ando?
Sara Du identified a fundamental challenge with integrating AI agents into existing team workflows, specifically within Slack where most teams already coordinate their work. While technical solutions like MCP servers existed to connect agents to business software, they didn't allow agents to truly participate in shared conversations or understand the context of decisions being made by human colleagues.
How does Ando's approach to AI agents differ from traditional Slack integrations?
Ando treats AI agents as first-class citizens in team conversations rather than guests routed through a bot API, allowing them to participate directly in shared discussions where work is coordinated. This contrasts with existing AI integrations that are workarounds bolted onto Slack's human-centric design, complete with limitations around token budgets and message shuttling.
What specific capabilities does Ando aim to give AI agents in team collaboration?
According to Du, Ando's ideal system enables agents to understand why decisions were made, ask colleagues questions, build on other agents' work, and bring in humans when judgment is needed. These capabilities represent a shift from treating agents as isolated tools to enabling them as collaborative team members who can engage in the full context of team discussions.
What role do MCP servers play in connecting AI agents to business software?
MCP servers function as the connective tissue that allows AI agents to plug into various business software systems. However, while they solve the technical integration challenge, they don't address the deeper problem of how agents should participate meaningfully in team conversations and workflows.
Further Reading
- Ando Launches Agent-Native Messaging Platform, Announces $20 Million Seed - GlobeNewswire
- Ando - The modern team messaging platform - Ando
- Building effective AI agents with Model Context Protocol (MCP) - Red Hat Developer
- Generate autonomous business insights with AI agent and MCP servers - AWS Machine Learning Blog
