AI ROI & Workflow Impact Analysis
Financial and operational metrics for AI in healthcare. We quantify time savings, cost-per-case improvements, and throughput gains to build a clear business case for your AI investment.
Who is this for?
Finance Directors
You need robust financial evidence to justify AI expenditure, demonstrate return on investment, and support budget allocation decisions.
Operations Managers
You want to understand how AI affects operational throughput, staffing efficiency, and workflow bottlenecks across your department.
Trust Boards
You require clear, evidence-based business cases that quantify the financial and operational impact of AI initiatives for governance and strategy decisions.
Innovation Teams
You need measurable outcomes to support funding applications, demonstrate value to stakeholders, and build the case for scaling AI programmes.
Our process
Baseline Economics
We establish current-state financial and operational metrics including cost-per-case, reporting turnaround times, staffing costs, and departmental throughput before AI assessment.
Workflow Mapping
Detailed mapping of clinical workflows to identify where AI creates time savings, reduces manual steps, or introduces new efficiencies across the care pathway.
Impact Measurement
Structured data collection and analysis during the evaluation period, quantifying changes in cost-per-case, time savings, throughput, and resource utilisation attributable to AI.
ROI Report
Delivery of a comprehensive ROI and workflow impact report with financial modelling, operational metrics, and a clear business case suitable for board-level presentation.
What you receive
ROI Analysis Report
Comprehensive financial analysis including return on investment calculations, payback period, and projected long-term value of AI deployment.
Cost-Per-Case Comparison
Detailed comparison of cost-per-case with and without AI, broken down by case type, complexity, and workflow stage.
Time Savings Quantification
Measured reductions in reporting turnaround time, time-to-diagnosis, and clinician interaction time, translated into operational and financial impact.
Business Case Documentation
Board-ready business case document with executive summary, methodology, financial projections, and recommendations for continued AI investment.
Common questions
How do you calculate ROI for AI in healthcare?
We measure ROI by comparing baseline operational costs against AI-assisted workflow costs. This includes direct savings such as reduced reporting time and increased throughput, as well as indirect benefits like earlier diagnosis and reduced repeat imaging. All calculations use your actual operational data, not vendor estimates.
What financial data do you need from us?
We typically require departmental cost data including staffing costs, case volumes, and current reporting turnaround times. We work with your finance and operations teams to gather the necessary baseline data during the scoping phase and can adapt to whatever financial reporting structures you use.
Can this analysis support a funding application or business case?
Yes. Our ROI reports are specifically designed to support business cases for continued AI investment, funding applications, and board-level governance decisions. The documentation includes executive summaries, detailed methodology, and financial projections in formats suitable for NHS trust boards.
How long does an ROI and workflow analysis take?
A typical engagement runs over 6 to 12 weeks, depending on data availability and the scope of workflows being assessed. The initial baseline economics phase takes two to three weeks, with the remainder dedicated to impact measurement and reporting.
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Let's find out what your AI is really doing
Whether you need a full evaluation, a vendor readiness check, or just want to explore your options, we'll start with a conversation, not a sales pitch.
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