PRODUCT 5 min read
Getting Started with MAIFlow
The fastest way to understand MAIFlow is to stop reading about it and set up a real flow — so this is the version of that walkthrough we'd give a new team on their first call with us.
Start with one flow
Pick the single queue that causes the most friction today — an on-call rotation, a client onboarding pipeline, a content calendar — and bring just that into MAIFlow first. Trying to model every team's work on day one is the most common way new users stall out before they see any value.
Add real deadlines and dependencies
The scoring engine is only as useful as the data underneath it. A queue with real relationships between tasks will always outperform a flat to-do list. At minimum, each task should carry:
- A real due date, not a placeholder
- Explicit dependency links to tasks it blocks or is blocked by
- An owner, so impact can be attributed correctly
Let the 'Now' view run before you tune it
MAIFlow re-scores continuously, so the ranking you see on day one will already look different by day three as deadlines approach and dependencies clear. Most teams' first instinct is to second-guess an early ranking; give it a short runway to reflect real state before deciding whether something needs adjusting.
Once the first flow is running, expanding is mostly mechanical: invite the rest of the team, connect any AI agents you already run through the MCP integration, and bring in the next queue that was causing friction. Teams that get the most out of MAIFlow tend to start narrow and let the tool prove itself on one real problem before scaling it across the org.
If you get stuck at any point, the fastest path is usually a real conversation rather than a documentation search — reach out through the contact form and we'll walk through your specific setup with you.