Agent Collaboration Platform via Kanban board
I’m Rahul, building Mazori.
The product that finally clicked for me: put AI agents on the same kanban board your team uses. Every lead, every campaign, every piece of content is a card. Agents move cards through columns, leave comments, request review, hand off to humans. Humans drag cards back, edit the work, or kick something into a different lane. There’s no separate “AI dashboard” — it’s the same board, the same workflow language your team already speaks.
This gives you three things AI agent products usually skip:
Real human-in-the-loop. The kanban is the audit trail. Every move is logged, every comment shows who did what, every label change is replayable. If an agent does something wrong, you can see exactly where and roll it back the same way you would for a human teammate.
Trust by construction. We put the high-stakes writes (CRM, email send, work-item state) behind a centralized policy server with end-to-end audit. The LLM decides on the easy stuff — copy, scoring, summaries — and code decides on the things that touch your brand, your money, or your data. Governance isn’t a compliance feature; it’s the architecture.
Real data, not vibes. The agents are wired to industry-grade data partners — Bombora for buying-intent signals on millions of companies, Prospeo for B2B firmographics + hiring data, Hunter for verified email resolution. The reason AI outbound gets a 1% reply rate is the underlying lead data is garbage. Fix the data layer and the same model writes copy that lands.
30+ agents shipped across sales, marketing, operations, support and research. They don’t run as 30 disconnected chatbots — they coordinate through the shared board, hand off to each other, escalate to a human when they hit a state they don’t have authority for.
Free Standard tier is live: 100 credits/month, no card, no trial expiry. Run the agents, see the moves on the board.
→ mazori.ai
Genuinely curious to hear from this crowd:
How are you handling human-in-the-loop for autonomous agents in production? Slack approvals, web UIs, something else?
Anyone else putting agent activity into the existing work management surface (Jira/Linear/Asana) vs. building their own?
What’s working for grounding AI outbound in real intent data beyond surface-level enrichment?