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Intlexl

What changed, and what needs your decision.

An executive sponsor needs to know what changed, what is at risk and what needs a decision, without sitting through the detail. The signal is in the plans; getting it in front of the right person on time is the gap.

Waiting for a report that describes last week, then asking for the answer to the one question that matters.

  • Seeing the state of every project at a glance

    A PMO dashboard shows health, budget against spend, timelines and capacity, drawn live from the plans.

  • Knowing what needs a decision

    The Agents page lists proposals awaiting a decision with what approving will do, and Approve and Dismiss beside each.

  • Getting the update without asking

    The daily digest arrives at 08:00 local time, and the Standup and Status Report agent compiles the daily report.

  • Asking a direct question

    Ask Intlexl AI which projects need attention and it answers from your plans, within your permissions.

What an executive sponsor asks in a week.

Typed into the assistant, answered from your plans, within your permissions.

  • Which projects need my attention this week?

  • What is the budget against spend across our projects?

  • What is blocked, and who needs to unblock it?

Questions people ask.

An executive sponsor needs to know what changed, what is at risk and what needs a decision, without sitting through the detail. The signal is in the plans; getting it in front of the right person on time is the gap. Intlexl covers the recurring parts: seeing the state of every project at a glance, knowing what needs a decision, getting the update without asking.

Each agent runs at Observe, Propose or Act. Observe only reports and Propose drafts an action and waits for a person, while Act carries out approved kinds of action only where an administrator has enabled it. The assistant asks before structural or destructive changes, and everything works inside the signed-in person's permissions.

Every agent output carries a mark. Automated means it came from rules applied to your data. AI means a model wrote that part, such as the wording of a message. Counts, dates and task lists are always automated.

Bring one plan. See it run.

In 30 minutes we set up a workspace like yours and show sheets, Gantt, dashboards, capacity and a PM agent at work.