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Intlexl

AI for resource managers

See over-allocation before the month starts.

Resource managers answer staffing questions that depend on data spread across every programme: who is free, who is overloaded, and whether the next phase can start on time with the people available.

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The recurring work

Rebuilding allocation spreadsheets to answer a question that changes again as soon as a plan moves.

  • Seeing who is over-allocated

    Owners carry percentage allocations. The resource manager totals them per person, per week, and flags anyone above capacity.

  • Knowing who has done what

    The Resource Profiler builds a directory of people and their expertise from the tasks they are assigned.

    Resource ProfilerCan use AI

  • Seeing a person's timeline beside their load

    The Schedule and Capacity view lists a person's tasks on a timeline next to their weekly utilisation.

  • Catching conflicts created by a schedule change

    Change a date and the resource manager recomputes, and the over-allocated and bench widgets on a dashboard update with it.

Ask Intlexl

What a resource manager asks in a week.

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

  • Who is over-allocated in October, and who has room?

  • Which people have worked on data migration?

  • Show me weekly utilisation for the next twelve weeks.

FAQ

Questions people ask.

Resource managers answer staffing questions that depend on data spread across every programme: who is free, who is overloaded, and whether the next phase can start on time with the people available. Intlexl covers the recurring parts: seeing who is over-allocated, knowing who has done what, seeing a person's timeline beside their load.

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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