Zodeen / Isabella, the AI project manager

An AI project manager that watches, learns and proposes. You decide.

Isabella watches every project and the rest of One Caye, learns how your team really works, and proposes fixes with the evidence. She only acts alone where you allow.

The problem

AI in most project tools is a text helper on a credit meter. It summarises, but it does not watch the plan, it does not know your people, and you cannot see why it suggests what it does.

How it works

Always watching

After every change and once a minute, Isabella checks capacity now and ahead, time off landing on open work, go-live moving, and task owners who have gone quiet.

She tells the right person

Each finding goes once to the right person’s notices (the bell in Zodeen) and, for managers, to their One Caye My list.

She learns

Each person’s pace against the plan, blended day by day, and which kinds of suggestion you approve, so the useful ones come first.

Proposals with evidence

Every suggestion says what is wrong, the numbers behind it and what it wins back: “Add Marcus to the cloud backend for three days: wins back about 5 days; go-live back to Dec 4.”

Your rules

Choose Suggest only, Act on low-risk changes, or Act and tell me, plus a switch per action, who approves, stand-up time, report day and quiet hours. Every decision is logged.

An example: A day with Isabella at Brightway

She noticed Bob at 208% and told Priya (the app launch) and Elena (the payroll migration).
She learned Bob runs at 80% of plan pace, so his capacity is planned at that pace.
She proposed moving his payroll integrations a week (the payroll plan has the slack) and adding Marcus for three days.
Low-risk nudges she sends herself, at 8:00 each person’s time. Adding people waits for Priya’s yes.

The value

A project manager that never misses a signal.
Suggestions you can check, not black-box AI.
No AI credit meter: Isabella is part of Zodeen.

In the product

Isabella’s notices: capacity, time off, go-live and quiet owners, with the evidence.
What she has learned: each person’s pace against the plan, and your decisions.
Her suggestions, ranked, each with the evidence and what it wins back.
Her settings: how much she does alone, who approves, and when she works.