AI Sourcing
A clinically tuned workforce intelligence engine that combines predictive forecasting, skills-based matching and policy-aware optimisation.
40%
Reduction in agency spend
Faster time-to-fill
Roster compliance rate
24/7
Automated matching
Overview
Designed specifically for clinical environments, Flexzo AI models service-level demand, specialty and skill mixes, seasonal patterns and operational constraints so planners can anticipate pressure points and act before gaps arise.
By pairing forecasts with skill-aware optimisation, it proposes allocations that respect clinical rules, local policies and staff competencies while minimising unnecessary agency usage and overtime.
The system provides explainable recommendations and ranked alternatives so managers understand trade-offs and can apply judgement where needed.

Capabilities
Granular forecasts by service, location, shift type and specialty built from historical, patient flow and seasonal signals.
Encodes trust rules (supervision ratios, training protections, pay scales) to generate operationally feasible allocations.
Ranks clinicians by competency and scope of practice to ensure safe, appropriate allocations.
Ranked recommendations, alternatives and stored rationale to support governance and manager trust.
"What-if" scenarios and KPIs (fill rate, agency reliance, schedule compliance) for decision support.
Autonomous agents proactively contact matched clinicians via preferred channels, negotiate availability and confirm bookings — reducing manual coordination to near zero.
How it works
Forecasts operate at the right granularity — by service, location, shift type and specialty — enriched with historical activity, patient flow signals and external seasonality such as elective cycles and winter demand.

Staff are scheduled to roles that align with their competencies and scope of practice. Policy-aware optimization encodes trust-specific rules such as supervision ratios, protected training time, and local pay scales.

Automation matches available clinicians from internal float pools according to priority rules, availability and predicted fit, escalating to agency options only when internal capacity is insufficient.

With continuous learning, models adapt to local patterns, improving accuracy and recommendations. Operational dashboards present root-cause insights and near-term forecasts to track improvement.

Why Flexzo AI
Prioritise internal capacity and optimise allocations before using external supply.
Predictive matching and automated escalation dramatically shorten staffing gaps.
Respect local policies and clinical safety constraints automatically.
Ranked options, cost estimates and risk indicators for quicker decisions.
Scenario testing, continuous learning and tracked improvements to KPIs.
Flexzo AI turns complex workforce variables into actionable, explainable recommendations.
Book a demo and discover how Flexzo AI can transform your workforce planning.