Insurance fraud rarely looks spectacular — it looks like the same physiotherapist, the same hire car firm and the same witness surname repeating across ‘unrelated’ claims. Claims systems excel at policy rules; they struggle to show organised accident rings or staged burglaries that hop across adjusters. SIU analysts export CSVs, sketch on whiteboards, then lose the picture when a colleague takes over. Collusion hides in plain sight because nobody owns the network view. linkchart becomes your insurance fraud network map: claimants, vehicles, addresses, clinics, phones and loss events linked with attended, treated, witnessed and repaired at. Rings surface as clusters, and referrals to partners carry a picture worth a thousand claim notes.
Why a real link chart for insurance fraud
Most people start this work with tools that were never designed for networks. Documents narrate. Spreadsheets tabulate. Whiteboards photograph poorly and refuse to scale. A dedicated insurance fraud network map approach treats every person, place, asset and event as a node — and every meaningful connection as an edge you can label, question and revise.
That shift matters because decisions in insurance fraud are rarely about a single record. They are about patterns: who introduces whom, which address keeps appearing, which phone bridges two clusters, which event changed the shape of the network. linkchart exists so those patterns stay visible while you work, not only in the final slide.
SIU teams searching for an insurance fraud network map, claims collusion chart or staged-accident link analysis need a visual tool built for entities and repeats. linkchart.art delivers that clarity with collaborative, labelled relationship maps.
Who this map is for
SIU investigators and claims handlers detecting staged losses, recycled participants, and organised claim rings.
The signature move on the canvas: Overlay claims on shared infrastructure — clinics, tow yards, phones, addresses — so rings emerge from reuse rather than intuition.
What belongs on the map
Every insurance fraud network map gets noisy when the wrong things dominate the board. Prioritise these domain-specific anchors before decorative extras:
- Claimants, passengers, and witnesses
- Vehicles and accident events
- Clinics, garages, and attorneys
- Shared phones and addresses across claims
Sample relationship labels
Prefer short, scannable edge text. Useful starters for this domain include: claimed injury in, vehicle in collision, treated at, referred by, same phone as, witnessed for.
Your first week on this canvas
Pull a cluster of claims that already feel related and map participants first. Add the collision event as a hub card. Link medical and repair providers next — organised rings love reuse. Midweek, bring in phones and addresses that appear on more than one file. Brief a claims lead with the ring hypothesis and the single best confirmatory check still outstanding. Document why each card earned its place so the insurance fraud board does not drift into decoration. Before the week closes, freeze a viewer link for one outsider and capture their first three questions as backlog edges or notes.
What not to do
Do not accuse a clinic solely because it appears often in a busy city. Avoid mapping every soft-tissue claim in a region. Never ignore legitimate multi-car accidents while chasing rings. Do not share claimant health detail beyond need-to-know roles. If an edge cannot be explained in one plain sentence, it is not ready for a briefing view of your insurance fraud map.
What success looks like
A strong SIU map shows the recycled cast and the professional facilitators. Referral for investigation or denial strategy rests on pattern evidence, and new claims that touch the same infrastructure light up immediately. When someone new opens the insurance fraud canvas, they should grasp the live question, the strongest links, and the next check within minutes. That is the operational definition of a successful insurance fraud network map on linkchart.
How to use linkchart for insurance fraud
You do not need a special template to begin. Open the linkchart app, create a map, and build outward from the question you must answer. The workflow below is a proven path for people doing insurance fraud who want speed without losing structure.
- Create a map for the suspected ring or loss typology, not one claim alone.
- Add claimant and third-party person cards with prior claim references in notes.
- Link vehicles, repair shops and medical providers as company or address cards.
- Place collision or theft events on a timeline with participants attached.
- Capture phones used at FNOL and at clinics — reuse is a tell.
- Share viewer access with SIU leads when escalating from adjuster suspicion to investigation.
As the map grows, resist the urge to make it decorative. Beauty comes from clarity: consistent card titles, honest labels, and notes that explain uncertainty. A slightly ugly accurate chart beats a pretty misleading one every time — especially when insurance fraud work has consequences.
Entity types that shine for this use case
linkchart supports investigation-ready cards you can reuse across domains. For insurance fraud, start with these and expand only when a new type earns its place on the canvas:
Person Vehicle Address Phone Event Company
Person and organisation cards carry identity. Addresses anchor geography. Phones and communication profiles expose bridges between clusters. Events give you time. Vehicles and items capture the physical world that insurance fraud narratives often depend on. Together they form a vocabulary you can teach a teammate in minutes.
Real-world scenarios
Crash-for-cash roundabout ring
Five modest collisions share an intersection pattern and a hire vehicle supplier. Vehicle cards, claimant persons and the hire company form a star; phones used to report losses overlap more than chance allows. Event cards show claims filed within days of policy inception. The SIU briefing stops listing claim numbers and starts showing the ring geometry — which is what prosecutors and partner insurers understand immediately. SIU referrals carry a ring geometry that partner insurers and counsel recognise without rereading every FNOL note.
Staged burglary with recycled inventories
High-value watches keep appearing across claims with near-identical serial narratives. Item cards for claimed goods, address cards for loss locations and person cards for ‘visiting cousins’ reveal a repeating cast. A pawn-shop company card sits downstream of two prior claims. Denial and recovery strategies finally target the entity pattern rather than arguing each inventory line in isolation. Honest claimants who merely touched a tainted vendor stay visually separate from organised actors.
Soft-tissue clinic funnel
Independent claimants all somehow find the same clinic within forty-eight hours. Mapping persons, the clinic company, referral phones and accident events shows a tow-truck company as the introducer. What looked like medical preference becomes a commercial funnel. Negotiations with the clinic and the introducer rest on the network, not vibes. Clinic and garage name normalisation stops trading-as variants from hiding the same commercial funnel. SIU referrals carry a ring geometry that partner insurers and counsel recognise without rereading every FNOL note.
Across these scenarios the constant is the same: when insurance fraud information stays trapped in siloed files, people argue about memory. When it lives as a labelled network, people argue about evidence — which is exactly where productive work happens.
Field practices that keep maps trustworthy
- Normalise garage and clinic names — trading-as variants hide repeats.
- Track first notification channel; organised rings often share scripts and numbers.
- Keep honest claimants visible and separate when they merely touch a tainted vendor.
- Photograph-free: describe scene consistencies in event notes without storing excessive PII.
Common pitfalls
- Do not brand someone a fraudster on the map without an evidential basis — use suspected labels.
- Avoid guilt by shared postcode alone in dense urban areas.
- Never broadly share medical details beyond SIU need-to-know.
Compared with slides, whiteboards and generic diagram tools
Slide software is excellent for presenting a finished argument and poor at hosting an evolving network. Whiteboards are wonderful for a one-hour workshop and hostile to long-running insurance fraud work. Generic diagrammers can draw boxes and arrows, yet they rarely treat investigative entities as structured records with fields your team actually fills in. linkchart sits in the gap: fast enough for a working session, structured enough for a case file, visual enough for a briefing.
FAQ: Insurance fraud
Can adjusters start maps before SIU engages?
Yes. Early relationship sketches help SIU decide whether a ring exists worth escalating.
How do we handle multiple policies and insurers?
Keep policy references in notes and focus the canvas on people, vehicles and providers that bridge claims.
Does this replace fraud scoring models?
No. Scores prioritise; linkchart explains the human and commercial network behind a score.
Can we map life and health claims too?
Yes — providers, beneficiaries and event timelines map similarly with stricter privacy controls.
Related ways to use linkchart
Ready to build your own insurance fraud network map? Open linkchart, place your first cards, and let the network tell the story you have been trying to hold in your head.