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Intlexl

AI for PMO directors

Know what is at risk before the steering meeting.

A PMO director answers the same questions on a cycle: what is at risk, where capacity is short, what leadership needs to see. The answers exist somewhere in the project data; assembling them is the job that never shrinks.

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The recurring work

Consolidating project data into one report, then doing it again next cycle because the underlying data moved.

  • Answering the same questions every week

    Dashboards and cross-sheet reports read live from the plans, and the Standup and Status Report agent writes the daily brief.

    Standup and Status ReportAutomated

  • Seeing risk before the steering meeting

    The Forecasting agent flags plans likely to slip, and the Risk and RAID agent logs detected risks to your register.

    Risk and RAIDAutomated

  • Knowing where capacity is actually short

    The resource manager turns owners and dates into weekly utilisation per person, with over-allocation flagged in the heatmap.

  • Keeping governance intact while agents act

    Each agent runs at Observe, Propose or Act, every output is marked AI or Automated, and every change is in the activity log with role-based access applied.

Ask Intlexl

What a PMO director asks in a week.

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

  • Which projects are at risk and why?

  • Who is over-allocated next month?

  • Show me the overdue actions across every plan.

FAQ

Questions people ask.

A PMO director answers the same questions on a cycle: what is at risk, where capacity is short, what leadership needs to see. The answers exist somewhere in the project data; assembling them is the job that never shrinks. Intlexl covers the recurring parts: answering the same questions every week, seeing risk before the steering meeting, knowing where capacity is actually short.

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.

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