AI agents allow teams to automate actions with little oversight. Here are some examples of workflows where that’s particularly useful.
See delivery risk before it breaks a milestone
Unito connects the context between your PM, dev, and ITSM tools, so AI agents can flag slipping deadlines, stuck work, and broken dependencies before a milestone breaks.
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AI can't flag risk it can't see
- Cross-tool dependencies stay invisible. An agent that sees one tool can't reason about the work happening next to it.
- Status reports are out of date the moment you pull them. By the time anyone reads one, the deadline it should have warned you about has already slipped.
- Keeping everyone updated becomes the job. Standups, exports, and Slack pings are all there to make up for tools that don't talk to each other.
What AI agents gain from a shared context layer
Unito centralizes work data from your CRM, ITSM, dev tools, and PM tools into the work graph of the work management platform where your AI agents already live. Whether that's Asana AI Teammates, Atlassian Rovo, or monday.com Sidekick, they reason on curated, live context and flag risk with confidence.
Talk to salesFeeds the context layer where agents live
Sync live status, blockers, and dates from your dev, ITSM, and PM tools into the work graph of Asana, Atlassian, monday.com, and other platforms, so their AI catches risk on current cross-tool state instead of last night's snapshot.
Only the context that matters
Feed agents the fields, records, and context they actually need to reason about risk. Filter out the noise, keep sensitive data where it belongs, and cut the token cost of scavenging every connected tool.
Built for humans and agents together
AI flags what's at risk. Your team decides what to escalate, deprioritize, or accept. Agents take the tracking busywork so your leads focus on the judgment calls that matter.
Full delivery visibility with one Unito flow
See how teams succeed with Unito
The context layer for AI risk flagging
Real-time cross-tool status sync
Every status change, blocker, and due-date shift propagates in seconds so agents catch a slipping date the moment it moves.
Deep field mappings for risk signals
Story points, priority, severity, and custom risk indicators carry over. Agents reason with the same signals your teams use.
Curated cross-tool context
Choose which fields flow in each direction and what stays behind. Control what context reaches AI, down to the individual field.