Services

One decision engine,
many enterprise problems.

Veradiant sits upstream of existing reward, outreach and operational systems — putting every engagement dollar where it can create the greatest incremental value.

Decision engine selecting the highest-value actions from many possible members
First wedge: healthcare

Starting where the pain is clear.

Healthcare organizations already have data, programs, channels and operational systems. The harder question is how to use them intelligently — member by member, action by action.

First use case

Rewards optimization

Who + action + reward + channel + timing. Veradiant doesn't replace the rewards platform or member experience — it decides where those capabilities create the most value.

Rewards optimization view matching members to the smallest effective reward
  • Avoid paying people who were likely to complete the action anyway.
  • Use small rewards when a small reward is enough.
  • Reserve larger rewards for people whose behavior is more likely to change.
  • Use low-cost digital outreach when it is sufficient.
  • Reserve live support for cases where human engagement adds enough value.
  • Stop spending when the next intervention no longer meets the required ROI.
Same engine, more decisions

Use cases

Star Ratings improving
Healthcare

Star Ratings

Prioritize members, gaps and interventions where action is most likely to improve measurable outcomes.

Nurse on a video call with an older patient
Healthcare

Care management

Allocate scarce nurse, care-manager and outreach capacity to the people most likely to benefit.

Care routed from hospital to home
Healthcare

Utilization

Choose interventions most likely to reduce avoidable utilization while respecting clinical and operational rules.

Claims documents sorted into the right lanes
Operations

Claims & operations

Support routing, prioritization, review and resource-allocation decisions.

Persuadable customers highlighted within a group
Engagement

Retention

Identify persuadable customers and choose the most appropriate offer or channel.

Financial services decision network
Regulated industries

Financial services

Apply the same decision logic to complex, regulated allocation and engagement problems.

How it works

What every engagement includes

Incremental prediction

Estimate baseline behavior and incremental response — who changes because of an intervention, not just who is likely to act.

Constrained optimization

Choose the highest-value portfolio of actions under real budget, capacity and business-rule constraints.

Integration with existing systems

Approved decisions flow into the reward, outreach and operational workflows you already run.

Causal measurement & audit trail

Outcomes compared with controls to prove lift, cost and ROI — with a transparent, auditable decision trail.

Have a constrained decision problem?

Tell us where budget, capacity or outreach is stretched.

Talk to us →