Capacity you cannot see
Who is actually free, and when, lives in someone's head or five spreadsheets. Decisions get made without the full picture.
Resources & scheduling
Put effort where it produces the most output.
Workload, capacity and schedules balanced across teams and projects as conditions change — so people are neither idle nor buried, and the schedule survives contact with the day.
Where this shows up
Allocation problems rarely look like allocation problems. They look like overtime, missed dates and a rota someone rebuilds every morning.
Schedules stale on contact
The rota is right when it is published and wrong by mid-morning. Every change ripples, and nobody has time to re-solve it.
Firefighting instead of planning
The team reacts to today because there is no reliable view of next week, so the same crunch happens again and again.
What we build for it
A live model of capacity and demand that schedules against it, and re-solves the moment something moves.
01
Live capacity model
Skills, availability and current load in one place, updated from the systems you already run rather than re-keyed by hand.
02
Constraint-aware scheduling
Shifts, tasks and projects assigned against real constraints — skills, hours, location, priority — so the schedule is feasible, not just full.
03
Rebalancing as conditions change
When demand spikes or someone drops out, the system reallocates and shows the smallest change that keeps commitments intact.
04
What-if before you commit
Model taking the extra project or shifting the deadline before you say yes, and see what it does to everything else.
What changes
Figures from engagements in this area. Yours are measured against your own baseline, agreed before we start.
23%
Higher utilisation
40%
Less overtime
98%
On-time scheduling
Representative of what we have delivered, not a guarantee. Every recommendation is logged with its predicted and realised effect, so the number is yours to verify.
Tell us the process. We will tell you what AI can do with it.
Start with a free audit. We map your processes, model the savings, and you decide from there.