Minimize fraud, waste and abuse

Action Halo Effects to streamline your insurance operations 

10 x
Verifiable minimum net income ROI
50 %
Lower false-positive rates
3 %
Increase in revenue - stable or improved
> 500 %
Increase in straight-through processing
What we offer

AI-powered decisions for Insurance Risk Management

AI Done Right

Daisy delivers Explainable Decisions-as-a-Service (eDaaS) for insurers that autonomously determine payability and straight-through processing potential, while detecting and avoiding fraudulent claims.

How we work

We serve numerous industries

Woman driving vehicle with male passenger
For P&C insurance, Daisy’s system identifies Halo Effects to:
 
 
Pay policyholders on time, with lower premiums
 
Identify suspicious claims, actors and networks
 
Accelerate investigations while minimizing human intervention
 
Dramatically reduce false-positives so investigators can better serve real customers
 
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For travel insurance, Daisy’s system identifies Halo Effects to:
 
 
Avoid fraudulent payments on high-volume low-value claims
 
Make autopayment decisions, increasing straight-through processing
 
Maximize the efficiency and effectiveness of investigations
 
Empower employees and minimize human intervention
 
Child with parents elbow bumping with doctor with masks
For health insurance, Daisy’s system identifies Halo Effects to:
 
 
Proactively avoid increasingly sophisticated healthcare schemes
 
Overcome pandemic related challenges 
 
Uncover previously unidentified fraud
 
Accelerate claims processing, meeting customer demand for faster service
 

Best practices

The journey to autonomous

04 Steps

1
Using AI to evaluate historical decisions
Use AI to evaluate historical decisions that have already been made, providing explanations to system users about where there were missed opportunities.
2
Parallel decision-making
Incoming claims and quotes continue to be processed as current capabilities dictate, and in parallel, the AI system makes recommendations. When insurers observe patterns that are similar to those in the validated historical cases, trust is built.
3
System pilots and explainable recommendations
Now that trust has been built, pilots in lines of business or business segments can be run to trial process changes. The AI system will provide an explanation to adjusters, examiners, investigators and underwriters as they make decisions based on system recommendations. Real business results can be observed at this stage.
4
Autonomous decision-making
The insurer now decides which types of materiality/complexity levels of claims and quotes can be completely automated, with a pre-determined level of human review (i.e., random audit). The AI system is integrated into back-end claim or RPA (Robotic Process Automation) systems to enable straight-through processing where appropriate.
Identify Risk and Avoid Fraud

Mitigate emerging fraud and risk with Halo-based AI

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Testimonials

See the value we’re delivering to our clients

Interested in our solutions?

Get in touch to see how Daisy gets AI Done Right

Give us a call!

 
 

Learn more about how we’re delivering the decisions that are beyond human ability and freeing your people to focus on what they do best at work.