Corporate Partner Spotlight FraudOps - July 26
- Charlotte Clarke
- Jul 17
- 4 min read
Tell us a bit about the history of your company, number of employees, when the company was founded etc:-
We spent close to four years building FraudOps quietly before bringing it to market, with the support of Zurich who were our early adopter customer, and the company was formally founded in 2025. The team is around twelve — a core engineering group building the product, supported by a panel of experienced counter-fraud and insurance advisors who shape where it goes. We are UK-based, a fully remote team, built on Microsoft Azure and backed by Toolagen Venture Studios.
What are the main services you offer your customers?
FraudOps is an AI-powered investigations workbench for insurance fraud teams.
Today most fraud investigators still work out of Excel, Outlook and a case system bent to fit the job, stitching each case together by hand across LexisNexis, Experian, DVLA, Companies House, IFB and IFR. FraudOps brings every referral, case, document, task and outcome onto a single screen, so teams spend less time hunting for information and more time closing cases.
It sits downstream of the detection tools insurers already run and turns that detection pipeline into worked cases and real savings. FraudOps doesn't detect fraud; it makes the detection and data you've already invested in useful. AI agents take on the repetitive work — reading documents, pulling out the key facts, running intelligence searches across connected data sources — while the investigator stays in control of every decision, with a full audit trail behind it.
Alongside the main workbench, our Rapid Screen product applies a consistent set of identity, voice-risk, industry-database and claims-history checks to every claim at first notification, so risk is surfaced to the handler before a case is even opened.
Describe your perfect target customer or business problem:-
Our ideal customer is a UK insurer, TPA or specialist investigation firm that already has a named fraud investigation team and detection tooling in place, but is running the actual investigations out of spreadsheets and email. Detection has largely been solved across the industry; what happens after the alert hasn't.
These teams have referrals queuing up, cycle times stretching, and no single place to manage cases, intelligence and outcomes — so legitimate claims sit in investigation too long, and some fraud settles simply because the investigator ran out of time.
That's the problem we're built for. The strongest fit has at least three investigators, an existing SIU or investigation function, and a budget owner in Claims or Fraud.
Provide some examples of recent projects/professional high points that you’ve worked on?
FraudOps is live with a number of customers including Zurich Insurance and MPL Claims.
Since launch in 2025 we have managed more than 50k settled investigations and £150m+ of suspect claims
One Tier 1 insurer has seen a 95% reduction in outstanding referrals, and investigation completion is running 25%+ faster you
For a 4 person TPA team, FraudOps delivered c. £26k pa savings through process-efficiency (before any fraud-outcome savings are counted)
We were named Technology Partner of the Year at the 2025 POST Claims & Fraud Awards
We are 2026 finalists at the British Insurance Awards, POST Claims & Fraud Awards, British Insurance Technology Awards and I Love Claims Pitch Competition.
Brief details about upcoming projects?
We're in active proof-of-concept and pilot conversations with several UK insurers, and we've started engaging with insurers in the US on the back of inbound interest.
On the product side, the near-term focus is deeper AI inside the existing workbench — including using AI to replace the traditional, dev-heavy integration work that usually holds fraud projects up. For example, loading case data from a screen capture of a legacy claims system, rather than waiting on a long API build.
A visual link-analysis capability for mapping connected parties and organised activity is also in development for later this year.
How do you hear about Camelot and the services we provide?
Camelot was referred to me via my Business Mentor, Mark Huxley who is also a Camelot Member.
Why did you choose to partner with Camelot?
I wanted to understand the insurance industry more deeply — the real challenges beyond the claims-fraud area I knew well — and to connect with claims and fraud experts I wouldn't otherwise meet.
FraudOps is creating a new category, so honest feedback from experienced people on whether the proposition lands is worth a great deal to us.
What have been the highlights / benefits of being a member of Camelot?
Two of the counter-fraud experts we met through Camelot now advise us, and they're actively shaping the direction of the product. Beyond that, we've learned a lot about how the industry really works and made some useful connections along the way.
Over the coming months we're hoping to partner with independent consultants on go-to-market, to help get FraudOps into the hands of the right customers.
Tell us one interesting fact about your company?
We're a fully remote team and completely bootstrapped — stable, revenue-positive and growing without having taken any VC funding.
Anything else you want to add?
If you run or advise a fraud investigation team and want to see how FraudOps turns a full referral queue into worked cases, we're happy to give a short walkthrough — just drop us a line. We are keen to work in partnership with the Camelot Experts to better evolve FraudOps.
ROI Calculator - https://fraudops.ai/features/automation-efficiency/#roi-calculator
Get in touch - sales@fraudops.ai
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