Decide faster. Deliver what you decide.
Savi Schedule projects real completion dates from availability, workload, priority, dependencies, and time off. Then it goes further: it surfaces the portfolio decisions those dates demand, records what you decide, and measures the follow-through.
Calendar tools show you the plan someone drew. This one computes the plan, defends the date, and remembers the decisions.
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Decisions, surfaced
Kill, rescope, and reallocation candidates appear with the evidence attached. A decision queue routes each judgment call to a person, and every decision is recorded with the reason for it. Nothing waits for a quarterly review, and nothing decided goes unrecorded.
Dates you can defend
Every completion date comes out of a forward simulation over capacity, dependencies, priorities, time off, and holidays. Ask why a date is what it is and the engine answers. Nobody dragged a bar on a chart to produce it.
Key-person risk, as a number
Criticality analysis and bus-factor warnings turn the one-senior-person exposure into a ranked signal. You see where the plan breaks if a person leaves, before the day they leave and not after.
What-if without risk
Model a hire, a departure, a change in priority, or time off. Every recommendation opens as a scenario you can save and share before you commit, and the sandbox never touches the live plan.
Test a deal before you sign it
Drop an unsigned deal into the plan as a hypothetical project and watch the ripple before you commit. You see what it takes in capacity and what it pushes back, and the live book never moves while you look.
Reports that end in an action
Portfolio verdicts, strategy-to-hours alignment, and decision velocity. Every row carries its next step.
Works with your AI assistants
Savi Schedule opens its schedule to AI assistants through a connector, so the tools your team already uses can read the plan and help work it. The assistant reads what the engine computes; it never guesses who does which task.
We built Savi Schedule to run our own consultancy, replacing the tools we outgrew, and we run on it every day. You can watch it work before you commit to it.