Analytics for Insurers

Turn Claims Data Into
Fraud Alerts Before Payout

AskEnola delivers real-time fraud alerts and prioritized claim watchlists that surface suspicious claims, linked entities, and false-positive outliers before SIU gets overloaded and leakage grows.
Enola Logo

Your High-Risk Auto Cluster Watchlist

Leaders like you get instant fraud signals and actionable investigation lists from fragmented claims, policy, external fraud, and SIU data. No more waiting for monthly reports or guessing which referrals deserve escalation.

Leading Companies Love Our Proprietary Analytics Framework

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From fraud claims chaos to
structured investigations &
lower loss ratios

You’re toggling between ClaimCenter, SIU notes, fraud scores, CLUE/ISO history, and Excel lists, only catching suspicious claims after payment when the case is already deep in the queue.

Your Question:

Which auto claims in the last 30 days have repair costs above regional averages and claimant patterns suggesting prior similar claims?

AskEnola's High‑Risk Auto Cluster Watchlist:

12 claims at 1 repair shop have repair costs 2.5× median, 8 of the claimants have 2+ prior BI‑type claims across different policies, and 4 are flagged in CLUE for prior suspicious activity. Prioritize these 5 for SIU review before payment.

Your Question:

What's driving our false‑positive investigation workload in the last quarter?

AskEnola's False‑Positive Breakdown Report:

40% of high‑score referrals trace back to 3 legacy rules that disproportionately flag elderly claimants with low‑value glass‑labor claims. 25% of SIU referrals show no external CLUE/ClaimSearch indicators and minimal internal red flags. Deprecate these 2 rules and refine scoring logic.

The AskEnola Outcome

No more margin erosion from uncaptured fraud rings or sunk‑cost SIU hours. AskEnola surfaces the exact claims, providers, and networks creating risk, and the rules clogging your pipeline, so you can adjust triage, retrain models, and protect your bottom line.

How AskEnola Works

How it works?

For mid‑market insurers living in legacy systems but needing modern analytics

01

Connect Your Stack

Securely link AskEnola to your data sources (Snowflake, BigQuery) and core tools (ClaimCenter, FRISS, Shift, SAS, Guidewire Fraud & Claims Analytics, CLUE, ClaimSearch, SIU tools). Your data stays in your warehouse; AskEnola only runs governed queries, no exports.

02

Ask in Plain English

Ask questions like "Which claims in the last 60 days have multiple claimants sharing the same address and a high external fraud indicator?" and instantly get prioritized watchlists—not just dashboards.

03

Get Decision-Ready Insights

Receive root‑cause analysis, fraud‑ring patterns, and false‑positive diagnoses tied to your fraud‑scoring framework and KPIs, so you can adjust triage, refine rules, and retrain models faster.

AskEnola handles all
your claims‑fraud battles

01

Fraud‑Ring Radar (Daily)

Clusters of claims linked by shared addresses, phone numbers, repair shops, or brokers with at least one member showing high external fraud scores. Saves 3–5 days of manual cross‑carrier lookups per week → 30 minutes of review.

02

False‑Positive Watchlist (Weekly)

High‑score referrals that show no external CLUE/ClaimSearch indicators and minimal internal anomalies. Reduces "dead‑end" SIU cases by up to 30–40% in pilot deployments.

03

High‑Risk Provider Spotlight (Real‑time)

Shop X has 8x more severe‑BI claims than peers, 60% of which involve the same tow‑operator and same medical provider. Investigate partnership dynamics and pricing. Gives you concrete, evidence‑based narratives for SIU and field‑investigation planning.

04

SIU‑On‑Ramp Synopsis (Per Referral)

One‑click case summary for each SIU referral:

  • Claimant's prior claims and external CLUE/ClaimSearch indicators.
  • Key anomalies (coverage‑change‑before‑loss, repeated similar losses, inconsistent narratives).
  • Related entities (addresses, phones, vehicles, brokers, providers).

Reduces case‑build time from hours to minutes.

Built to Make Your Data Work For You

Everyone loves BADIR™

Enola's responses and reports put business goals first because her Framework Agent is powered by BADIR™, our proprietary framework that puts business logic front and center.

Patrick S.

Patrick S.

CFO, Win Reality

Listened to our data team, leadership team, and stakeholders from different departments to create a solution that matched our growth stage.

Sonia M.

Sonia M.

VP - Operations, FCTI

Their collaborative approach went beyond just providing a solution, as they ensured the transfer of knowledge to our staff and executives, fostering a deeper understanding of our business and its intricacies.

Nicholas G.

Nicholas G.

Director, Product & Marketing Analytics, Life360

Helped us design campaign experiments and rework data to allow for more intricate analysis, leading to specific business outcomes.

Christopher H.

Christopher H.

CTO, Spreedly

Offered a common-sense approach that took the mystery out of big data and AI, which was refreshing.

Patrick S.

Patrick S.

CFO, Win Reality

Listened to our data team, leadership team, and stakeholders from different departments to create a solution that matched our growth stage.

Sonia M.

Sonia M.

VP - Operations, FCTI

Their collaborative approach went beyond just providing a solution, as they ensured the transfer of knowledge to our staff and executives, fostering a deeper understanding of our business and its intricacies.

Nicholas G.

Nicholas G.

Director, Product & Marketing Analytics, Life360

Helped us design campaign experiments and rework data to allow for more intricate analysis, leading to specific business outcomes.

Christopher H.

Christopher H.

CTO, Spreedly

Offered a common-sense approach that took the mystery out of big data and AI, which was refreshing.

Patrick S.

Patrick S.

CFO, Win Reality

Listened to our data team, leadership team, and stakeholders from different departments to create a solution that matched our growth stage.

Sonia M.

Sonia M.

VP - Operations, FCTI

Their collaborative approach went beyond just providing a solution, as they ensured the transfer of knowledge to our staff and executives, fostering a deeper understanding of our business and its intricacies.

Nicholas G.

Nicholas G.

Director, Product & Marketing Analytics, Life360

Helped us design campaign experiments and rework data to allow for more intricate analysis, leading to specific business outcomes.

Christopher H.

Christopher H.

CTO, Spreedly

Offered a common-sense approach that took the mystery out of big data and AI, which was refreshing.

Patrick S.

Patrick S.

CFO, Win Reality

Listened to our data team, leadership team, and stakeholders from different departments to create a solution that matched our growth stage.

Sonia M.

Sonia M.

VP - Operations, FCTI

Their collaborative approach went beyond just providing a solution, as they ensured the transfer of knowledge to our staff and executives, fostering a deeper understanding of our business and its intricacies.

Nicholas G.

Nicholas G.

Director, Product & Marketing Analytics, Life360

Helped us design campaign experiments and rework data to allow for more intricate analysis, leading to specific business outcomes.

Christopher H.

Christopher H.

CTO, Spreedly

Offered a common-sense approach that took the mystery out of big data and AI, which was refreshing.

Bonnie S.

Bonnie S.

General Manager, Inside Real Estate

They exceeded our expectations in a meaningful way. Their depth of experience and expertise played a critical role in shaping our data architecture to address complex business questions effectively.

Randy G.

Randy G.

Chief Product Officer, Spreedly

Their expertise and ability to challenge assumptions helped identify key trends and deliver actionable recommendations aligned with our business goals.

James B.

James B.

Engineering, IMVU Inc

They provided strategic guidance that strengthened our data infrastructure and analytics, enabling better decisions across the organization.

Bob B.

Bob B.

CEO, DPS Telecom

The workshop delivered highly actionable insights that aligned stakeholders from the start. The structured approach translated business goals into clear actions, making complex priorities easier to execute..

Bonnie S.

Bonnie S.

General Manager, Inside Real Estate

They exceeded our expectations in a meaningful way. Their depth of experience and expertise played a critical role in shaping our data architecture to address complex business questions effectively.

Randy G.

Randy G.

Chief Product Officer, Spreedly

Their expertise and ability to challenge assumptions helped identify key trends and deliver actionable recommendations aligned with our business goals.

James B.

James B.

Engineering, IMVU Inc

They provided strategic guidance that strengthened our data infrastructure and analytics, enabling better decisions across the organization.

Bob B.

Bob B.

CEO, DPS Telecom

The workshop delivered highly actionable insights that aligned stakeholders from the start. The structured approach translated business goals into clear actions, making complex priorities easier to execute..

Bonnie S.

Bonnie S.

General Manager, Inside Real Estate

They exceeded our expectations in a meaningful way. Their depth of experience and expertise played a critical role in shaping our data architecture to address complex business questions effectively.

Randy G.

Randy G.

Chief Product Officer, Spreedly

Their expertise and ability to challenge assumptions helped identify key trends and deliver actionable recommendations aligned with our business goals.

James B.

James B.

Engineering, IMVU Inc

They provided strategic guidance that strengthened our data infrastructure and analytics, enabling better decisions across the organization.

Bob B.

Bob B.

CEO, DPS Telecom

The workshop delivered highly actionable insights that aligned stakeholders from the start. The structured approach translated business goals into clear actions, making complex priorities easier to execute..

Bonnie S.

Bonnie S.

General Manager, Inside Real Estate

They exceeded our expectations in a meaningful way. Their depth of experience and expertise played a critical role in shaping our data architecture to address complex business questions effectively.

Randy G.

Randy G.

Chief Product Officer, Spreedly

Their expertise and ability to challenge assumptions helped identify key trends and deliver actionable recommendations aligned with our business goals.

James B.

James B.

Engineering, IMVU Inc

They provided strategic guidance that strengthened our data infrastructure and analytics, enabling better decisions across the organization.

Bob B.

Bob B.

CEO, DPS Telecom

The workshop delivered highly actionable insights that aligned stakeholders from the start. The structured approach translated business goals into clear actions, making complex priorities easier to execute..

How AskEnola Works

Secure, fast, and reliable

Built for mid‑market insurers with lean analytics teams

01

Quick Implementation

Up and running with your first "At‑Risk" watchlist in as little as 2–3 weeks. Pre‑built patterns for auto, property, and medical‑related fraud rings, false‑positive diagnosis, and provider‑fraud screening.

02

Best-in-Class Security

Enterprise‑grade encryption and access controls. Your data stays in your warehouse and your core systems; AskEnola executes read‑only, governed queries. No unauthorized AI‑tool uploads or data‑extraction outside your governance framework.

03

100% Business‑Logic Anchored

Zero hallucinations. AskEnola surfaces patterns and rankings based on your fraud‑scoring logic, CLUE/ClaimSearch signals, and internal rules. Every recommended priority or hypothesis links back to your specific KPIs: loss ratio, fraud ratio, fraud‑to‑SIU‑case ratio, and false‑positive rate.

Ready to stop fraud firefighting 
and start planning?

Stop the internal debates over which rules to keep and which tools are underused. Let mid‑market insurers scale their fraud detection with a conversational analytics layer that respects your existing scorecards and data ecosystem.

Get started immediately