

Governed Decision Engine for Enterprise Leaders in HR, Ops, Compliance and Finance
Execute defensible decisions with full governance, auditability, and plugin model control. DecisionWorks AI moves organizations beyond dashboards and predictions into executed, traceable decisions. With our application DecisionHost, you gain a plugin-based decision infrastructure that solves complex organizational prediction modeling.
"22% of companies currently use predictive AI analytics and 62% plan to implement predictive capababilities in the next 12 months".
Deliotte Apr 2025 "Maturity of Predictive Analytics usage"
See the study and details >
Models Built for Real Organizational Environments
Governance-aware by design, not retrofitted. Built modularly to fit into DecisionHost and our governed infrastructure.
Finance
Forecasting, Cost Control, and Risk Visibility
Models designed to surface financial risk before it impacts margins, liquidity, or reporting integrity. Used to forecast revenue exposure, identify cost drivers, and support scenario-based planning with clear assumptions leadership can interrogate.
Compliance
Regulatory Risk and Control Effectiveness
Models that help organizations anticipate compliance risk, detect control breakdowns, and prioritize remediation before audit findings or regulatory exposure occur. Designed for regulated environments where explainability and documentation matter as much as accuracy.
HR
Workforce Risk and Talent Decisions
Models that identify where attrition, performance drift, or staffing constraints will materially impact service delivery or cost. Built to support workforce planning, compensation strategy, and retention decisions with explainable, governance-ready outputs.
Operations
Capacity, Efficiency, and Failure Risk
Operational models that surface bottlenecks, capacity constraints, and failure risk across systems and workflows. Used to evaluate tradeoffs, reduce operational drag, and support decisions that balance efficiency with resilience.
Each model is scoped to a specific decision, risk threshold, and operating context. We do not deliver generic AI artifacts.
Learn about our 6 stage Decision-Grade Framework
View Models
Our models for enterprise leaders in HR, Finance, Operations and Compliance and built specifically with their challenges in mind. As a group of experts from the fields, we know your challenges and have created models that address your specific needs.
Capital Allocation Effectiveness Model
Purpose:
Evaluates whether capital investments actually delivered returns.
Inputs:
CapEx, OpEx, performance deltas, timing.
Outputs:
Realized vs expected ROITime-to-valueReallocation recommendations
Compliance Failure Probability Model
Purpose:
Predicts likelihood of audit findings, violations, or reportable incidents.
Inputs:
Control maturity, training coverage, system access, past issues.
Outputs:
Failure probability, Severity-weighted exposure, Control gap prioritization
Revenue At Risk Model
Purpose:
Evaluates whether capital investments actually delivered returns.
Inputs:
CapEx, OpEx, performance deltas, timing.
Outputs:
Realized vs expected ROITime-to-valueReallocation recommendations
HR Programs ROI Model
Purpose:
Evaluates programs for measurable business value relative to their total cost.
Inputs:
Program costs, participation data, workforce outcomes, and financial outcomes
Outputs:
Total value created, net ROI, payback period, and scale or terminate recommendations.
Predictive Workforce Planning Model
Purpose:
Organizations cannot reliably align future workforce capacity to demand as attrition, hiring friction, skill gaps and productivity assumptions change.
Inputs:
Headcount, attrition and tenure patterns, hiring velocity, productivity signals, demand forecasts, labor costs, and explicit planning assumptions.
Outputs:
Forward-looking capacity projections, role-level gaps or surpluses, scenario-based cost impact, and ranked actions to mitigate workforce risk.
Testimonials
What Our Clients Say
Our clients appreciate our commitment to quality and innovation. Here are some of their experiences with DecisionWorks AI.