Insurance risk intelligence

Get risk data from global news and social media sources. Better inform your policies, services, and customer support with insurance risk intelligence in context.

Access all areas of risk intelligence

Turn a social media trend into a risk metric. Understand the reputational impact of a news story. Expand your risk awareness into ESG and brand reputation.

Become the trusted source for risk management intelligence.

Polecat gives you (and your clients) access to comprehensive media data, adding context to your models, informing the services you offer, and helping to better mitigate risks.

Insurance companies we work with:

Insurance data like no other

Focus on data

An outside-in view

Get real-time data from validated news and social media sources, in multiple languages

Daily risk signals

Stay on top of daily risks

Monitor a company’s risk score and quickly access the news stories influencing results

Risk data in context

Put risk into context

View market splits and benchmark against industry peers to understand the severity of an event’s impact

Best in class, verified results

Best-in-class results

Derive insight from an unparalleled breadth of data using Polecat’s proprietary algorithms

Weave greater intelligence into your insurance policies

Augment your data with contextualised risk intelligence. Access a breadth of data from previously untapped sources and gain new perspectives that can inform insurance decisions, policy creation and client support.

Accurate pricing

Inform corporate insurance premiums

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Pull daily media data from validated sources into actuarial models as events happen.

Respond to insurance claims

Track, monitor and assess claim events using validated external data sources.

Support your clients to manage their risk

Provide your risk managers with more comprehensive risk analysis and continuous due diligence using validated data.

See how we’ve helped leading insurers monitor and manage risk

Delivering ESG risk intelligence to customers with WTW

ESG Clarified

Understanding the risks of reputational damage with Liberty Specialty Markets

Reputational Crisis

Create a unique client portal

Insurance firms can also use Polecat's API to create their own intelligence portal, giving their clients access to real-time risk data and trends.

Empower your clients to:
  • Build awareness of risks and how they might affect their policies
  • Compare themselves against other brands and how they have responded to events in the past
  • Monitor public opinion or share price after a campaign to understand how effective it is.

Learn more about the API

Put risk into context

Explore more about how Polecat solutions support you to build resilience in today’s evolving world of corporate and insurance risk.

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Risk intelligence insights

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How to put risk, brand and market intelligence into context

How to put risk, brand and market intelligence into context

Since the dawn of time, when we first picked up a stone, humans wondered what we could do with it. We have always had questions, and a burning desire to discover more. To do this effectively, we need context. Many business intelligence, market intelligence, ESG intelligence, risk intelligence or brand intelligence tools (the list goes on) don’t work because they provide data without the right context. Or, the insights without the source data. This leaves stakeholders with doubts and uncertainty in a world where every decision has a ripple effect. Intelligence in context perfectly combines the ‘why and how’ behind each answer with the answer itself in order to deliver clarity that inspires confidence. This enables decision-makers to explore, enrich and develop any hypothesis – narrow or broad - and never leaves them with queries unanswered. Empowered with as much or as little intelligence as they require, users can finally produce actionable insights about corporate strategy. Comparing types of intelligence tools Organisations have a buffet of intelligence tools to draw upon these days. While intuition can get a well-informed expert part of the way to a solution, the key to competitive advantage is data. Here are just a few forms of intelligence organisations are leveraging: What is business intelligence? Business intelligence is the technology-driven process of gathering data, performing business analytics and presenting results through data visualisation. Simply, it’s a broad term for gathering information and digesting it to produce actionable insights that help with business decisions. Business intelligence is generally tailored to senior, non-technical, users in a user-friendly format, such as charts, graphs, dashboards, and summary reports. What is market intelligence? Market intelligence is the process of gathering data-driven insights about industry trends, competitor performance and stakeholder activity. The purpose is to inform business strategy and decision-making to gain a competitive advantage. It can be used to perform competitive analysis on your company's performance in relation to the wider market landscape. For example, it can shed light on your market share in a certain service area or on a specific topic. What is reputation intelligence? Reputation intelligence involves gathering information from many sources such as social media platforms, online publications, and stakeholder data, to gain an understanding of market perception of a company and its brands. It is used to determine both key quantitative and qualitative metrics, such as the share of voice (SOV) and sentiment driving different stakeholder opinions. This then informs reputation management strategies and senior business decision-making. Tools used to gather reputation intelligence include solutions like sentiment monitoring and analysis, social media listening, and machine learning (ML) and artificial intelligence (AI) tools, and often produce a reputation score. Read more: Reputation intelligence is 2023’s biggest competitive advantage What is brand intelligence? Brand intelligence is similar to reputation intelligence. It consists of collecting data which can help an organisation interpret what stakeholders and consumers think and feel about a brand. This involves measuring customer experience and brand perception through sentiment analysis, social media monitoring, and more to gain actionable insights. The results can help organisations shape their marketing strategy - improving brand identity and brand awareness - or build product strategies. What is materiality? The concept of materiality in business helps to inform organisational strategy and risk management. Materiality appraisal is an important strategic process and output required as part of corporate disclosure. Double materiality and dynamic materiality are approaches that enable a company to identify, prioritise and track the key material risks and issues for its business. It is a fundamental part of ESG (environmental, social and governance) strategy and management and will encompass issues that may significantly impact business performance or stakeholder perception. A materiality assessment allows organisations to identify what issues to focus on, prioritise, and how issues have changed over time. How is the use of intelligence tools evolving? The way organisations collect reputation, ESG, risk and market intelligence is always changing, because the nature of the data is always changing. As the amount of information that’s relevant and available to a single decision grows, our approach also needs to adapt. 1. The world is more dynamic Each day business leaders are asking, ‘what’s changed?’. Accentuated by globally transformational events such as the pandemic or the sudden rise of ChatGPT, people need to accelerate their market understanding. These sorts of events reframed people’s world views and demonstrated that innovation and risk can evolve quickly. To stay in tune with their stakeholders and their target audiences, organisations need a tight finger on the pulse, placed there not just by experience, but by real-time intelligence. to place their finger on the pulse much more tightly. Speed to insight is directly connected to management success. Gathering intelligence quickly allows organisations to position themselves as a leader, always one step ahead of risks, not a laggard, blind-sided by things they should have seen coming. RELATED: Why the ‘dynamic’ in materiality assessments matters today 2. Market intelligence is more nuanced Not only is the world more dynamic, but the scope of what’s considered important market intelligence is growing. Organisations need to understand vast global arenas, from the tidal changes to the gradual ripples, to be fully informed. Our world is more connected than ever. Activity in Ukraine, Taiwan or Silicon Valley impacts corporate decisions across sectors around the world. There are many digital and social media platforms where discourse in different languages may need to be understood, and a single viral post may move a market. A narrow view of your industry will no longer suffice; context from across the globe matters. 3. ESG intelligence The way societies see the world and the issues that shape our world also greatly impact how businesses use intelligence tools. In particular, ESG has become a core pillar of corporate band rand strategy – central to materiality, risk and reputation. It’s woven into the very fabric of operations, from the everyday to the big picture issues. This introduces a suite of topics, trends, stakeholders and influences that now need to be considered during any form of corporate or market research and decision-making. Read more on how ESG strategy is tied to business resilience What is intelligence in context? Why intelligence in context matters Intelligence in context matters for multiple reasons. The combination of widely available intelligence tools plus the challenges presented by multi-faceted global markets is putting competitive advantage further out of reach for all players. To truly be leaders, not laggards, organisations must have proactive access to meaningful data, which gives them actionable insight in real-time and over time. It’s not enough to have best graphs and charts in front of you: decision-makers must understand the integrity and granularity of the data to truly be confident in the quality of insight informing their strategies. If intelligence is the tip of the iceberg, intelligence in context is the wealth of high-value insight beneath the surface. How does Polecat deliver intelligence in context? Polecat’s responsible business intelligence™ platform offers unparalleled access to insight. Contextualising data from across the internet and social media, Polecat enables global companies to expertly manage reputational risk and create ESG strategies that build competitive advantage. We leverage market-leading algorithms and an unparalleled diversity and volume of data sources. Our aim is to help people make confident decisions – based on accessible and real-time topics, trend, market risk, and stakeholder context. By providing thorough onboarding modules and a constant helping hand, we facilitate your journey to independent discovery. What are the qualities of intelligence in context? Data-driven The first and most essential quality of intelligence in context will be no surprise: it must be data driven. In fact, all forms of intelligence today should be. What brings data intelligence into context is the unprecedented precision with which Polecat delivers insights from the universe of online source material. Polecat’s expansive, credible and validated list of sources covers timelines and geographies. At a click, you can uncover a world’s worth of topics. You can visualise issues over time and geography, with at-a-click benchmarking, trending and stakeholder insight. And you can consolidate the impact of material across publications, media, and individuals. Intelligence in context means not only listening to the entire conversation, but visualising it from different angles and viewpoints. This allows you to follow the ripples of impact and assess the trajectory of themes as they play out. It shows you not just the wood and the trees, but the entire root system, leaves and the lifecycle of its every seed. Because of our sources, stakeholders can then think about COP 28 through the lens of every possible geographical, sector or sub-topic context, rather than the narrow field of trending searches. Intuitive journey Often, data tools fall into two categories. One provides all the information in the world, but it’s impossible to find the answers you’re looking for. The other is too high level, providing the strategic insight but none of the underpinning detail. Either way, users are left with unanswered questions. The Polecat platform supports intelligence in context by providing a completely intuitive journey, from a question to clear insight and evidence. No matter whether your question is straightforward and specific: ‘How did my latest campaign about the new product packaging perform?’ ‘Which has more impact, Davos or Climate Week?’ Or complex and multi-faceted: ‘How has the invasion of Ukraine impacted food security conversations, and what does it mean for how fertilizers are being positioned globally?’ Polecat allows users to see the bigger picture and, if they wish to, drill down to the core ‘why’. You can easily click to navigate through additional perspectives, more detail and the ripple effects across issues to build an informed analysis or plan of action. Moreover, the platform facilitates every stage of your intelligence journey. From query, to analysis, to reporting. So, you can always continue your journey to the next question, and the next, until you find the heart of the answer. Trust Intelligence in context empowers trust in the data and therefore the decisions you make. Too many solutions are black boxes, lacking in transparency. Our platform gives users access to all the underlying data and content driving our results. By uncovering the inner workings, you have greater credibility and confidence in the accuracy of the insights. Not only does the platform provide proof in the source, but it also gives you the context behind why something has happened so you can shape your actions accordingly. Depth and breadth Intelligence in context also means catering to the context you want. Providing results from every social media platform isn’t relevant if you only want to check one tweet. Seeing the top media coverage on a topic isn’t helpful if you can only see UK results, but need a global and multi-lingual view. Polecat is very responsive in terms of the depth and breadth of intelligence it shows you. Depending on your needs, users can effortlessly switch their scope from a quick snapshot to a comprehensive analysis. It’s a Tesla and a Smart Car all in one. There’s no need to use the auto raising air suspension feature if you only want to nip to the shops. Empowering strategic decision-making The most important benefit of having intelligence in context is that decision-makers can always access any piece of information they want. No matter what topic or time period you’re looking at, for whatever reason, Polecat delivers as much or as little intelligence as you need to make a decision in real time. This gives you and your stakeholders confidence that you are leading, not looking over your shoulder. Whether you want Tolstoy or the CliffsNotes, you can have it. Here’s just a few of the ways this benefits an organisation’s strategic position: Visibility over your data taxonomies of choice Actionable intelligence at your fingertips Strategic insight over peers and market trends Competitive advantage to protect against market changes Contextualised data without the need for consultancy Reassurance of corporate reputation and resilience Use cases of market intelligence in context The possibilities for intelligence in context are limited only by your imagination. Whether you want to investigate global trends and topics, explore what your peers are doing, or analyse the progress and impact of key issues for stakeholders, Polecat can be used for a variety of use cases. Crisis management Dynamic & double materiality assessments Reputation management Issue management Peer benchmarking Market analysis and market research Brand strategy Brand analysis ESG strategy Competitor intelligence Sentiment analysis Performance benchmarking Stakeholder analysis and reporting Impact analysis Discover Polecat for... ESG Monitoring Corporate Enterprise Proxy Season Marketing, PR and Communications How will artificial intelligence affect market intelligence? Artificial intelligence (AI) and Machine learning (ML) has transformed the value of data and insight for corporate intelligence. It will continue to accelerate our abilities in these areas. So how is AI being used to empower market intelligence and corporate decision making already, and how might this evolve? Ultimately, we believe it will be a closely blended relationship. To enhance human intelligence and discovery AI starts with human intelligence. AI is the product of our wisdom and expertise, taking it to new heights with fast analysis and intelligent search and so on. This empowers greater human discovery, enabling us to make the tools like Polecat that make expert insights ever more accessible. At Polecat, we will always rely on a blend of human and artificial intelligence. We have a strong tech pedigree in our team which allows us to create and train robust algorithms, steering them in the right direction. Our users then bring critical understanding to the insights produced by these algorithms, lifting them into context of real-world decisions and impact. Honing big and diverse datasets Tools like artificial intelligence and machine learning enable people to harness more data than a human could begin to fathom. Not all content is equal, and Polecat’s proprietary algorithms help sift through big datasets to reveal what’s important. For example, Polecat’s impact metric fuses multiple different measurements together, including significance, reach and relevance, from a wealth of sources. Impact reveals what really matters, so users can instantly pick out the diamond in the rough from thousands of mentions or social posts. Learn more about our impact metric here Assurance, accuracy, quality, completeness How trustworthy are these insights? AI clearly gives a greater scale of insight than humanly possible, but how can we trust the outcomes are robust? This is why keeping humans in the loop is important. With our expertise at the starting point and your perspective throughout the intelligence journey, you can always be sure the results are reliable, relevant and actionable. A constant evolution of Polecat and AI Our team of technical experts are always exploring new processes and capabilities across our platform. We are currently using elements of machine learning to power future tools relevant to entity extraction and location identification. Going forwards, AI is something we will continually improve, train and develop to bring more human intelligence and context to our users. To discover more about what intelligence in context can do for you, get in touch to talk to our team or book a demo.

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Navigate business and market intelligence with data taxonomies

Searching for relevant risk, reputation, and market intelligence in today’s digital landscape may feel even more impossible than finding a needle in a haystack. Organisations need to understand what’s happening in their world; what’s changing, why, and when they were mentioned. But the universe of events and headlines that may impact these questions is now so incredibly vast. Organisations need to find a way to narrow it down. This is where data taxonomies come in. More intelligent and intentional than saved queries, taxonomies act as the compass to your business roadmap. They filter out what’s not important, directing decision-makers to the exact insights they need to understand their corporate reputation, performance, and influences. What is a data taxonomy? A data taxonomy is what we use to organise the vast data contained within the Polecat platform. This is the umbrella term that categorises data into meaningful collections. A taxonomy consists of a collection of topics, keywords, and signifiers surrounding a specific theme. For example, ‘ESG’ or ‘energy transition’. Why do you need taxonomies? Polecat uses AI to analyse billions of documents for reputational impact, matching with thousands of companies and stakeholders with business-critical topics every day. This is a minefield to navigate without some sort of guidance. Taxonomies are a way of focusing in on the issues, and therefore the data, that matter to you. This, however, doesn’t mean you get a narrow view. A taxonomy can encompass as many topics and keywords as are relevant to that overarching theme. These can be updated extremely simply, in seconds, by our team or yours. It fast-tracks you to the intelligence you need and, from there, you are free to dive into the specifics of each topic or headline, or zoom out to see global activity and impact. When data is attached to a taxonomy it is given clear context. Whatever trend, impact or pattern you see is a direct driver for the taxonomy you’ve created. One that directly impacts your business roadmap. Learn more about Intelligence in Context. How taxonomies are used? Taxonomies can be used to inform any area of interest, from reputational influencers to operational concerns to insured perils. There are two primary use cases where taxonomies provide valuable insight for decision-making: Thematic analysis Taxonomies can be used to give you a broad-scale view of a market theme. For example, a taxonomy about ‘Greenwashing’ would show you all the market trends, drivers and conversations happening around this theme. This view can be used for industry benchmarking or to dynamically monitor materiality for example. Issue management You can also create taxonomies on a more reactive basis. Taxonomies can be highly focused and finite to represent specific situations and their potential impact. This nuanced view can be used to track the impact of market incidents or to monitor the performance of a PR campaign for example. How we create taxonomies in Polecat Over the decades, we have been adding topics, sources and more to our platform. More importantly, we have been perfecting how to organise this unstructured data into a digestible structure: taxonomies. Here is our process: Build the taxonomy We work with both pre-curated and custom taxonomies. Our pre-existing taxonomies have been curated since the beginning of Polecat. They cover common and critical themes for most organisations, such as ‘ESG’, ‘Reputation’ and ‘Risk’. Any customer can benefit from these taxonomies immediately. However, these are not static which we discuss further down. We also curate taxonomies based on your long-term and short-term goals. Whether you have a list of topics, some preliminary research, or nothing but a theme – we can build a taxonomy that encompasses this in days. In this scenario, our team completes all the set up for you. Alternatively, users are able to build their own taxonomies or customise curated ones within the platform. Get combined search results Polecat aggregates all your searches to deliver one cohesive answer. Because the taxonomies are already packaged up for you when you come to the platform, you can go directly to the results. No need for multiple searches, you can search everything at once. Results are shown in various charts, tables, and links. You can see a complete and detailed report, or a single trend visualised, right away. Similarly, our impact score consolidates various measures, including sentiment, reach and performance, to show you the overarching effect a taxonomy is creating. Discover more about Impact Score here. You can also have as many taxonomies as you want or need. This means you can ask as many questions as you like, about anything, and at any time – with the latest and most relevant data. Evolve your taxonomy All of our taxonomies grow bigger and smarter. This happens continually. You can make additions, or ask for updates, to your taxonomy at any time, but our team is also constantly researching and adding new topics. We keep our pre-existing and your bespoke taxonomies updated on a regular basis using AI techniques (including the solutions InsideTrack, ChatGPT, and Polecat Data Science) and subject matter expertise: AI+IQ. Or if an incident occurs, we may suggest you create a new taxonomy to keep an eye on it. For example, pride backlash with retailers could be critical to your corporate reputation measures and could therefore warrant a focused view. Users also don’t need to create Boolean or iterative searches or constantly update saved searches. These updates come into immediate effect for every user and can happen up to 10 times in a single day. In short, Polecat and its taxonomies are far from static. They develop dynamically according to the world around us, without any user intervention. The benefits of taxonomies at a glance Pre-curated taxonomies are ready immediately Taxonomies can be custom-built or customised in days Search time is cut down significantly by combined search Taxonomies are continually growing and up to date Polecat performs automatic updates 10 times a day Users don’t need to invest in market research to inform taxonomies (unless they want to!) Polecat’s taxonomies turn on immediately, giving you excellent time to value Taxonomies are extremely flexible and can look at any topic Users can have as many taxonomies as they want Taxonomies can show results in any language How do I build the right taxonomy? The quick answer: you don’t need to. Because our taxonomies can easily be changed, there’s no reason you need to get things right the first time round. In fact, we would expect your taxonomy to change over time or for new ones to appear. Language changes, new topics come into existence, and new terms are formed. Covid meant nothing before the pandemic, and lab-grown diamonds is not a term that was needed until recently. Alongside our team’s research, you can use InsideTrack to identify big picture trends, new drivers, changing influences and more. Not only can you see that a new idea has emerged, but you can also see the moment, the publication, where it sparked. Either way new topics are identified, our team is always on hand to provide support and insight, so you get the most value from the platform. Taxonomies that breed intelligence Taxonomies are a lens through which you can interpret data and find intelligence. Without them, you won’t be able to find the insights you need, no matter how credible your sources or vast your data. For organisations looking to monitor their reputation, see how the market influences their position, and make actionable changes to move the needle in their direction, taxonomies are essential. Get a free trial to see how taxonomies will benefit your reputation, risk and sustainability management. We’ll guide you through using the platform for up to two months so you can see its full value.

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The Willis Towers Watson logo and the Polecat Logo

Willis Towers Watson partner with Polecat Intelligence on Emerging Risks

Willis Towers Watson (NASDAQ: WLTW), a leading global advisory, broking and solutions company, today announces a partnership with Polecat Intelligence Ltd, a leading Social Business Intelligence and Data Analytics company. Together, they are developing insurance solutions that enable organisations to respond to the rapidly changing, increasingly complex and interconnected challenges they now face. Polecat data will support Willis Towers Watson solutions in areas such as life sciences, reputational and product recall risk as well as D&O. Through this partnership Willis Towers Watson will utilise Polecat’s Artificial Intelligence and Machine Learning to provide real-time risk insight from the world of unstructured data. The partnership will support Willis Towers Watson clients in developing risk mitigation strategies and transfer mechanisms enabling them to navigate an increasingly complex world. Garret Gaughan, Head of Global Markets P&C Hub, Willis Towers Watson, said: “Information and the way that people access it to develop their perception of an organisation or situation has changed radically, for both the private and public sector. Organisations find themselves in a volatile and dangerous reputational environment. The partnership with Polecat enables Willis Towers Watson to offer Clients real-time insight to public opinion through analysis of social media. By working with a partner able to analyse unstructured data in real time we are able to design and implement risk mitigation mechanisms for our Clients.” James Lawn, co-CEO of Polecat, said, “Polecat exists to provide foresight for Corporate Boards and Executive Leadership teams to make better decisions on emerging risks and opportunities. Our partnership with Willis Towers Watson is ground-breaking bringing world-class risk transfer together with market-leading Artificial intelligence and Machine Learning to provide real-time risk insights from the world of unstructured data. Corporate Boards and Executive Leadership teams are looking for insurance and technology that enables them to manage and mitigate their emerging risks that impact their business landscape, the global economy and the world around us. In partnership with Willis Towers Watson and Polecat, we can do this.” John Ludlow, CEO, Airmic, added: “The partnership between Willis Towers Watson and Polecat, signals a new generation of innovative risk management solutions combining AI-powered data analytics, consultancy and insurance in one place. For organisations of all types, there is an increasing recognition by executives and boards of reputation as one of the greatest strategic risks, and solutions like this will be critical to protecting and maintaining intangible asset value.” About Willis Towers Watson Willis Towers Watson (NASDAQ: WLTW) is a leading global advisory, broking and solutions company that helps clients around the world turn risk into a path for growth. With roots dating to 1828, Willis Towers Watson has 45,000 employees serving more than 140 countries and markets. We design and deliver solutions that manage risk, optimize benefits, cultivate talent, and expand the power of capital to protect and strengthen institutions and individuals. Our unique perspective allows us to see the critical intersections between talent, assets and ideas — the dynamic formula that drives business performance. Together, we unlock potential. Learn more at Sarah Booker +44 (0)7917 722040 About Polecat Intelligence Polecat Intelligence is a leading technology company that equips the world’s largest companies with the tools to manage, influence and optimise their corporate reputation. Polecat is a leader in ESG and emerging risk intelligence delivering the industry, competitor and stakeholder insight that organisations need to make better decisions and ensure they are in control of their future. Polecat takes data published online to bring together critical components of conversation, both good and bad, for the appraisal and management of risks affecting corporate ESG and reputation. The Polecat Platform visualizes this data so customers can see what is important to their business on-demand and in real-time, allowing for rapid benchmarking of their ESG and reputation profile and performance against competitors and peers.

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Beazley enhances Reputational Risk offering with AI-enabled tools providing enhanced insights for policyholders

Specialist insurer Beazley has enhanced its pioneering Reputational Risk insurance policy by providing artificial intelligence-enabled tools to help policyholders control their corporate brand and reputation more effectively. Underwritten by the Custodian Consortium at Lloyd’s led by Beazley, the Reputational Risk policy protects organisations through the lifespan of a crisis. Cover includes crisis management services to minimise reputational damage, and business interruption cover that insures against the impact to profitability of a downturn in revenue. The solution now includes a subscription to reputational, economic, social & governance (ESG) and risk intelligence provider, Polecat Intelligence. The platform uses online and social data to assess an organisation’s reputational profile and performance globally, benchmarking these against competitors and peers. The Polecat platform, available 24/7 to policyholders via a web-based portal, allows companies to scan the horizon in real time for potential threats to their reputation and enables an intelligence-led approach to responding to reputational crises, ESG issues and stakeholder perception. The policy is designed for consumer-facing companies across a range of industries including leisure, hospitality, technology, manufacturing, transportation and healthcare. Subject to licencing, Reputational Risk is available to companies globally. The Custodian Consortium, renewed in January 2021, includes participants from the Lloyd’s Product Innovation Facility: RenaissanceRe, Tokio Marine Kiln, Chaucer and Talbot. George Beattie, Head of Incubation Underwriting at Beazley, said: “Rising public anger, intolerance and lower trust in authority are contributing to a more volatile reputational environment. The exposure of the public to manipulative social media content compounds the difficulty business leaders have in meeting their fiduciary responsibility to minimise balance sheet risk and to maintain stakeholder value. This solution helps companies in two key ways. Firstly, it provides executives with reputational insights at a time when many companies are the target of stakeholder action relating to perceived failures to act on emerging risks. Secondly, it helps companies to mitigate the risk to profitability posed by reputational crises by paying for loss of profit and providing immediate access to crisis consultancy services.” James Lawn, co-CEO of Polecat Intelligence, said: “Global companies and their executives are experiencing significantly more scrutiny over their conduct and risk management through both social media and growing social activism. Organisations that seek to actively manage their reputations and ESG profiles by harnessing data and market intelligence are more strongly positioned to anticipate and manage emerging threats. Access to the Polecat platform gives Beazley Reputational Risk policyholders more control over managing and appraising their corporate reputations, benchmarking objectively against their peers, and understanding the material implications of what their stakeholders are saying.” Trevor Maynard, Lloyd’s Head of Innovation, said: “Reputational risk is a fast evolving issue, and a growing priority for many businesses around the world. We launched the Lloyd’s Product Innovation Facility to support new, innovative and brave products such as this reputational risk policy and I’m thrilled to see such fantastic risk sharing collaboration in our market. By forming partnerships with our peers and Polecat, we’re able to use a blend of AI, benchmarking and industry intelligence to proactively support our customers in protecting their reputation.” Click here to visit the Beazley Reputational Risk webpage.

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