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Sector specialisms

See how leaders across banking, insurance, financing and public bodies defend against fraud with collective intelligence and proactive controls. 

Banking and Finance

Detect financial crime and fraud risk before it harms your business.

APP scams, money muling and synthetic IDs are rising fast and legacy tools can’t keep up. Synectics helps MLROs, fraud heads and risk leaders detect threats earlier, reduce losses and make real-time decisions that meet both customer and regulatory expectations.

Insurance

Accelerate good customer journeys without compromising fraud defences.

Fraud is becoming more complex while customers expect faster claims and explainable outcomes. With accurate intelligence, explainable AI and flexible orchestration, Synectics helps insurers make faster decisions for good customers while stopping more fraud at the front door. 

Telecoms

Fortify defences against evolving fraud.

From deepfakes to no-intent-to-pay scams, complex fraud is targeting every part of the telecoms lifecycle. Synectics enables telcos to spot intent early, reduce bad debt and automate high-volume decisions without eroding customer trust or operational agility.

Motor Finance and Leasing

Prevent more fraud and give good customers a smooth experience.

Today’s lenders must strike a careful balance between preventing more fraud and delivering fast, smooth applicant journeys. Synectics helps motor finance providers protect portfolios with a combination of collective intelligence and real-time, automated orchestration tools. 

Public Sector

Strengthen trust. Detect fraud and error with precision.

Public Sector risk leaders must protect funds, ensure transparency, and deliver greater value with fewer resources. Synectics connects data across organisations and sectors to uncover hidden anomalies, reduce losses and support confident, auditable decision-making.

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.