Stop suspicious pre-authorizations before payment.
By the time fraud is spotted after payment, it’s usually too late.
Recovery is slow and costly. Traditional rules either flood you with false alarms or miss organized networks entirely.
Post-payment detection
By the time a suspicious claim is flagged, the money is gone — and recovering it takes months.
Alert fatigue
Static rules bury your team in false alarms, and real cases get lost in the queue.
Invisible networks
Organized links between providers, physicians and members can’t be seen by reviewing claims one at a time.
Three steps, no changes to your existing systems.
InsurGraphAI reads your data, flags the risks and leaves the decision to your team.
Connect
Load your claims and pre-authorization data from Oracle, SQL Server, PostgreSQL, MySQL or CSV.
- Only changed records are transferred
- Secure API for pre-authorization
Detect
A rules engine, self-improving machine learning and graph analysis score every transaction.
- Warn / Stop at pre-authorization
- Hidden network and bridge detection
Decide
AI prepares a plain-language summary and recommendation for every case; the analyst always approves.
- Explainable scores
- Complete audit trail
Screens your teams will use every day
Screens shown use synthetic data.
Decisions at pre-authorization
Every pre-authorization request runs through your rules in under a second. Choose “Warn” or “Stop” per rule; a stopped request waits in your own system until an analyst decides.
- Warn / Stop per rule
- Signed decision notification
- Test in shadow mode before going live
See hidden networks
Community detection and bridge analysis compare every provider, physician and member with their peers. Use the time slider to watch the network grow day by day.
- Community and bridge detection
- Fair peer-group comparison
- Go back in time to see how the network formed
A plain summary for every case
The AI agent reads the case, explains the factors driving the score and recommends a decision. Nothing is recorded until an analyst approves.
- Readable case summary
- Score rationale, factor by factor
- Interviews, recoveries and evidence in one file
Ask, and get answers instantly
Managers ask by typing or speaking; answers come through an isolated, read-only connection. No waiting for SQL or reports.
- Typed and voice questions
- Answers in 8 languages
- Read-only connection that can’t alter data
See where risk is concentrated
Drill down from country to region, region to provider, provider to physician. Each is measured against its own volume, so bigger doesn’t unfairly stand out.
- Region → provider → physician
- Alert rate, suspicious amount, risk score
- No misleading results on small samples
How much of your portfolio is at risk?
Enter your own figures; you set the rate.
The calculation is based solely on the values you enter; it is not a commitment to savings from InsurGraphAI.
Annual amount at risk
One platform, from detection to recovery
Pre-Authorization Check NEW
Rules run at pre-authorization, Warn / Stop per rule, signed decision notification.
Rules Engine
No-code rules; AI generates rules from plain text, with review before activation.
Self-Improving Model
Every analyst decision becomes training data; retrain on your own decisions in one click.
Graph AI
Community detection, bridge analysis, time travel and a risk heat map.
Case Management
From first alert to recovery: interview log, evidence files, timeline, one-click report.
Five AI Agents
Rule generation, case decisions, executive summaries, bridge analysis and administration — human-approved by default.
Your data stays in-house. You choose the AI.
Built for insurers and public institutions: control, traceability and full data ownership.
On-premise or cloud
On your own servers; automated installation on Windows Server or Ubuntu.
Personal data masked
Names and ID numbers are masked before leaving your organization; analysts see the full data.
Works offline
With the on-premise model option, runs on air-gapped networks — no GPU required.
Complete audit trail
Who did what, and when — searchable, exportable, tamper-proof.
How ready are you for fraud?
Answer five questions and see your readiness score.
“We built InsurGraphAI because we saw that fraud is usually discovered only after payment. Our goal isn’t to replace analysts with AI — it’s to bring them the right case, with its rationale, at the right time. Your data stays in-house, and the final decision is always your team’s.”
A 30-minute walkthrough, tailored to your processes.
Not a generic pitch — a live tour built around your products and your fraud scenarios.
Prefer email to a form? info@insurgraph.ai · LinkedIn
Questions you may have
Do we need to share our real data for the demo?
No. The demo runs entirely on synthetic data. During the pilot, your data is processed only on your own servers.
Do we need to change our existing claims and pre-authorization system?
No. InsurGraphAI reads your data; a single secure API call from your system is all pre-authorization checks require.
Is personal data sent to an AI service?
Fields such as names and ID numbers are masked before leaving your organization. If you prefer, you can use a fully on-premise model or turn AI features off.
Does the AI make decisions on its own?
No. By default, every recommendation requires analyst approval. Bulk automated assessment runs only if you turn it on.
How is it installed, and how long does it take?
Installation runs on Windows Server or Ubuntu with automated scripts. Timing depends on the scope of your data integration; in the demo we’ll map out a clear plan for your environment.
How is pricing determined?
Pricing depends on the deployment model and scope. After the demo, we’ll send a written proposal based on your needs.
Who should attend the demo?
Ideally, one person from your fraud/SIU team and one from IT. We can also run a short version for executives.
Let’s talk before the next suspicious pre-authorization gets paid.
30 minutes, synthetic data, your scenarios.
Request a demo →