Unify fragmented AI and DataAccelerate insurance renewalsActivate workflow intelligence with NeoStats
What insurance CIOs and CTOs are dealing with
Fragmented customer data
Customer data is split across policy, billing, claims, and CRM systems, making a single unified view impossible without manual reconciliation.
Disconnected churn prediction
Churn prediction exists as a static report. It does not reach the frontline renewal team in time to actually save the policy.
Reactive fraud detection
Fraud signals are generated long after the claim is processed, rather than intercepting risk during the live customer interaction.
Slow platform refresh
The underlying data platform cannot refresh fast enough to support the reporting and operational intelligence the business demands.
Turning data strategy into
production outcomes
Closing the gap between prediction and agent action
Most churn models end as reports. NeoStats integrates propensity scores and 'next-best-action' triggers directly into the agent desktop, allowing retention teams to act while the policy is still active.
Accelerate time-to-value with insurance-native patterns
Battle-tested modules built to solve specific data fragmented and interaction challenges in modern insurance environments.
RM360
“Our agents have the data, but not the insight to act during the call.”
Unifies policy, claims, and interaction history into a single 'next-best-action' desktop for renewal and service teams.
- Unified interaction history
- Next-best-action triggers
- Azure / CRM integrated
Call Center AI
“We only audit 2% of calls. We are missing 98% of our customer intelligence.”
Transcribes and analyzes 100% of interactions to identify sentiment trends, churn signals, and training gaps automatically.
- 100% call transcription & analysis
- Sentiment trend detection
- Automated training signals
Felcix AI
“Fraud detection happens after the payment. We need it during the interaction.”
Deploys real-time risk scoring and anomaly detection into FNOL and underwriting workflows to intercept fraud at the source.
- Real-time risk scoring
- FNOL workflow integration
- Anomaly detection engines
Turning fragmented policy data into
measurable platform outcomes
Featured insurance clients
Enterprise Group
Leadway Assurance
LivaFeatured case study
Fabric Platform Modernisation for a Gulf Insurance Group
50% faster data discovery and 3× data handling on a unified analytics platform.
A Gulf insurance group operated multiple fragmented data stores with slow refresh cycles, manual reporting processes, and no unified governance framework - preventing the analytics team from delivering timely insights to the business.
Read insurance case studyInsurance requires more than capability It requires delivery trust
Every NeoStats engagement comes with delivery discipline, security posture, governance depth, and a partner that understands what it means to operate in a regulated environment.
Fabric-native delivery
NeoStats builds on Azure and Microsoft Fabric - the platform most insurers are already invested in. No forced migrations, no unfamiliar stack.
Governance built in
Data ownership, quality monitoring, lifecycle management, metadata, classification, and responsible AI are part of the delivery model - not an afterthought.
ISO 27001 aligned delivery
Secure-by-design architecture, access controls, and audit-ready delivery across all engagements - aligned to regulated-sector security requirements.
Senior-led execution
Leadership with direct insurance and financial services background stays close to delivery, governance, and stakeholder alignment - not just sales.