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Fraud screening at the point of credit

Built for speed, visibility and control

Finance providers operate at the sharp end of credit decisioning. Whether approving thousands of low‑value applications in seconds or progressing a small number of high‑value lending deals, the pressure is constant: make fast decisions without writing hidden risk onto the book.

Fraud signals often appear elsewhere first

Lenders face a constant balancing act.

Tighten fraud prevention rules too aggressively and referral rates rise. Relax those rules to write more business and fraud slips through onto the book.

The challenge is that fraud rarely exists in isolation.  Organised fraud increasingly spans identities, documents, organisations and sectors, leaving signals across multiple touchpoints before a finance application is ever submitted.

When those signals remain disconnected, lenders are forced to make decisions with only part of the picture, increasing operational effort and adding friction for genuine customers. 

Connected intelligence helps lenders identify suspicious activity earlier, reduce the resource impact of unnecessary referrals and make more confident decisions.

The more of the fraud picture you can see, the easier it becomes to reduce fraud losses without increasing friction. 

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Motor Finance

Clarity across complex supply chains

Motor finance combines high‑speed lending with complex dealer and broker networks. Fraud often repeats across lenders and channels. Synectics applies shared fraud intelligence in real time, enabling:

  • Sub‑second screening at application 

  • Earlier detection of repeat and organised behaviour

  • Consistent decisions across dealer and broker networks

  • Reduced reliance on costly, time-consuming downstream investigations 

The result is cleaner books, more confident pricing and fewer surprises after approval.

 

Retail Finance

Fast approvals without blind spots

Retail finance demands instant decisions at scale. Fraud exploits the same speed, hiding in repeat applications, synthetic identities and later‑stage losses. Synectics delivers sub‑second screening using shared intelligence, helping lenders:

  • Approve genuine customers faster

  • Reduce over‑lending driven by multi‑lender exposure

  • Uncover fraud hidden in defaults and arrears

  • Keep expected credit loss under control without adding friction.

Here, speed isn’t optional. The advantage comes from seeing more at the moment of decision, not slowing the journey.

Buy Now Pay Later (BNPL)

Confident credit approvals

BNPL operates at extreme volume with minimal friction. In this model, fraud rarely looks suspicious in isolation. Risk emerges through velocity, repetition and network behaviour.

Synectics helps BNPL providers:

  • Detect repeat behaviour across lenders in real time

  • Identify synthetic and manipulated identities earlier

  • Apply proportionate controls that protect conversion

  • Turn instant approvals into informed approvals.

When speed defines the customer experience, shared fraud intelligence is the critical enabler.

 

Bridging & Development Finance

Confidence for high value, time critical lending

Bridging and development lending presents a different risk profile - fewer deals but significantly higher exposure. Here, the challenge is not scale, it is visibility. Risk hides in undisclosed connections, misrepresented identity and limited insight beyond the immediate transaction.

Synectics supports bridging and development lenders by providing:

  • Pre‑screening of applicants and associated entities

  • Visibility of links across directors, addresses and counterparties

  • Earlier identification of identity fraud and misrepresentation

  • Risk insight that supports speed without undermining confidence.

Endorsed by the BDLA, our approach strengthens due diligence while keeping deals moving.

 

Got a challenge or a question?

Got a challenge or a question?

Get in touch to see how we can work together to prevent fraud and reinforce your defences against emerging threats.

We’d love to hear from you.