See capacity as it really is
We build tools that track the detail of historical and future capacity utilisation — across people, rooms and equipment — so pressure is visible before it becomes a problem.
Data & Analytics — Capacity & Demand
We help organisations understand capacity and demand across their services — building tools that track how scarce human and infrastructure resources are really used, and predictive models that scenario-plan demand and strengthen the case for investment.
Most organisations can’t see their true capacity utilisation — so they ask for more resources before using the ones they have. We make capacity and demand visible, predictable and investable.
We build tools that track the detail of historical and future capacity utilisation — across people, rooms and equipment — so pressure is visible before it becomes a problem.
Scarce human and infrastructure resources are rarely used to their full potential. Our analytics surface the gaps between capacity and demand, so organisations can close them first.
We build accurate predictive models that forecast demand, scenario-plan around waiting-list impact, and give funders confidence that planned improvement will actually arrive.
Predictive models track actual progress against forecast as investment is made — turning investment requests from a promise into a measured, defensible business case.
Change is more likely to stick — and funding more likely to land — when two conditions are met first.
01
Organisations first build the day-to-day discipline to use the resources they already hold to their fullest — before asking for more. We make that utilisation visible and measurable.
02
A predictive model gives organisations and their funders a baseline to track actual progress against as investment is made — so improvement is measured, not assumed.
We’ve carried out this work across multiple healthcare environments to drive sustainable change where capacity matters most.
Theatre time is among the most expensive and contested resources in a hospital. We model session utilisation, turnaround and demand to protect productive theatre capacity.
Scanners and reporting time are capacity-bound. We track throughput, backlog and turnaround so imaging demand is matched to genuine available capacity.
Clinic capacity must meet referral demand without runaway waiting lists. We model clinic utilisation and future demand to keep outpatient access sustainable.
Endoscopy lists are tightly capacity-bound by room, equipment and specialist staffing. We track list utilisation, turnaround and referral backlog so session capacity is protected and demand stays sustainable.
The acute floor is where pressure is most visible and least predictable. We model attendance flow, admission and boarding to reveal where capacity is lost and how to protect front-door throughput under surge.
Lab throughput underpins diagnosis across the hospital, yet is itself capacity-bound by equipment and skilled staff. We track turnaround, batching and backlog so lab capacity keeps pace with clinical demand.
A repeatable methodology — from understanding demand to embedding the data-driven, action-focused operating rhythm that makes the insight stick. Tailored to your service and where you are today.
01
We map how demand actually flows through your service — historical patterns, seasonality, referral routes and the constraints that shape them.
02
We build tools that capture the detail of how capacity is used today, across people and infrastructure — surfacing the gap between available and actual utilisation.
03
We build predictive models that forecast future demand and scenario-plan around waiting-list impact, so you can see the effect of change before you commit.
04
We turn the model into a business case for investment — with a baseline to track actual progress against forecast, giving you and your funders real confidence.
05
Methodology comes to nothing without a managed process that turns insight into action. We embed a recurring rhythm of data-driven, action-focused meetings — every insight gets a named owner and a deadline, and interventions are tracked against the model so improvement sticks.
Real data & analytics engagements — what the challenge was, what we built and what changed as a result.

Tallaght University Hospital
From short-lived initiatives to sustained waiting list improvement — a data-driven OPD management process.

HSE Dublin and Midlands Health Region
A governed regional BI platform and analyst service giving five hospitals standardised performance visibility on a need-to-know basis.

St. James's Hospital
Procedure-level demand modelling across 16 theatres identified 115 hours a week — over 2 theatre equivalents — for transfer to a new day surgical hub.
Most of our capacity and demand engagements begin with a structured review. We look at your service, the resources under pressure and the demand you’re trying to get ahead of — then recommend where tracking and predictive modelling will make the biggest difference. It’s low-cost, practical, and gives you a clear starting point before you commit.