Latest news with #Appian
Yahoo
3 days ago
- Business
- Yahoo
Appian Connected Claims 2.0 Transforms Insurance Claims Management with AI
Appian is named a 'Leader' in Everest Group's 'AI-enabled Claims Management Systems for Property & Casualty (P&C) Insurance – Products PEAK Matrix®' for 2025 LONDON, June 4, 2025 /PRNewswire/ -- Appian (NASDAQ: APPN) today announced the launch of Connected Claims 2.0, an AI-powered solution designed to provide a unified claims workflow. Everest Group also named Appian a Leader in AI-enabled Claims Management Systems for Property & Casualty (P&C) Insurance – Products PEAK Matrix® Assessment 2025. Connected Claims 2.0 leverages Appian's Case Management Studio, AI agents, and data fabric to offer streamlined, data-driven, and AI-powered automated processes. Driven by rapid digital transformation, the global insurance claims services processing market is projected to reach $638.3 billion by 2032. Connected Claims 2.0 will support insurers through this growth with a unified claims workflow that accelerates processing, enhances fraud detection, combats inconsistent handling, data management issues and improves customer satisfaction. Connected Claims 2.0 offers a fully integrated, AI-powered platform with customisable workflows and a superior user experience, featuring a single pane of glass, AI-powered data insights, real-time data access, and automated regulatory compliance management. Appian's Connected Claims solution brings powerful AI-driven support to every adjuster, making it easier to manage the demands of a document-heavy claims environment. With capabilities like data classification, document summarisation, contextual chat, and next-best-action recommendations, AI accelerates work and improves decision-making. The next generation of the solution introduces the Appian AI Document Centre, enabling users to easily train models to extract data from unstructured documents. This means faster intake, more accurate data capture, and seamless handoff for tasks like fraud detection and automated triage. Over time, users can achieve high accuracy and boost straight-through processing (STP) rates—freeing human experts to focus only on the most complex cases. The result is faster, smarter claims handling with less manual work. Trusted by companies like Aon, Canada Life, and Aviva, Appian has also been named a Leader in Everest Group's AI-enabled Claims Management Systems for Property & Casualty (P&C) Insurance – Products PEAK Matrix® Assessment 2025. The assessment considered several factors, including each provider's vision and strategy, technology capabilities, deployment flexibility, customer engagement models, support services, and overall value delivered. Appian's recognition as a Leader highlights its strength in embedding AI directly into processes. This approach enables insurers to easily access powerful AI capabilities exactly when and where they're needed—with just a few clicks. "Appian's Connected Claims solution, built on its low-code platform, combines AI-driven document processing, seamless third-party integrations, and configurable accelerators to deliver rapid time-to-value for P&C insurers," said Aurindum Mukherjee, Practice Director at Everest Group. "Strong integration support across payment, risk, and fraud systems, coupled with proven success driving accelerated business value for insurers and high client satisfaction for implementation and support, underpins Appian's position as a Leader in Everest Group's AI-enabled Claims Management Systems PEAK Matrix® Assessment 2025." "We are launching Appian Connected Claims 2.0 to meet the urgent need for speed and early value realisation as the insurance industry tackles complexity, " said Jake Sloan, Global Vice President of Insurance, Appian. "Our solution drives digital-first claims innovation, aligning with core admin cloud modernisation for early value realisation. It's configurable, rapidly deployable, and leverages the latest powerful AI in Process to accelerate cycles, combat fraud, and personalise customer experiences. Connected Claims 2.0 empowers insurers to transform operations, balancing efficiency and accuracy with superior customer satisfaction, truly leading the evolution of claims management." Connected Claims 2.0 supports insurance companies, from claims adjusters, fraud detection teams, customer service representatives, regulatory compliance teams, to IT and operations teams. About Appian Appian is The Process Company. We deliver a software platform that helps organisations run better processes that reduce costs, improve customer experiences, and gain a strategic edge. Committed to client success, we serve many of the world's largest companies across various industries. For more information, visit [Nasdaq: APPN] Follow Appian: LinkedIn, X (Twitter) DisclaimerLicensed extracts taken from Everest Group's PEAK Matrix® Reports, may be used by licensed third parties for use in their own marketing and promotional activities and collateral. Selected extracts from Everest Group's PEAK Matrix® reports do not necessarily provide the full context of our research and analysis. All research and analysis conducted by Everest Group's analysts and included in Everest Group's PEAK Matrix® reports is independent and no organization has paid a fee to be featured or to influence their ranking. To access the complete research and to learn more about our methodology, please visit Everest Group PEAK Matrix® Reports. About Everest GroupEverest Group is a leading global research firm helping business leaders make confident Group's PEAK Matrix® assessments provide the analysis and insights enterprises need to make critical selection decisions about global services providers, locations, and products and solutions within various market segments. Likewise, providers of these services, products, and solutions, look to the PEAK Matrix® to gauge and calibrate their offerings against others in the industry or market. Find further details and in-depth content at View original content: SOURCE Appian Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Associated Press
3 days ago
- Business
- Associated Press
Appian Connected Claims 2.0 Transforms Insurance Claims Management with AI
Appian is named a 'Leader' in Everest Group's 'AI-enabled Claims Management Systems for Property & Casualty (P&C) Insurance – Products PEAK Matrix®' for 2025 MCLEAN, Va., June 3, 2025 /PRNewswire/ -- Appian (NASDAQ: APPN) today announced the launch of Connected Claims 2.0, an AI-powered solution designed to provide a unified claims workflow. Everest Group also named Appian a Leader in AI-enabled Claims Management Systems for Property & Casualty (P&C) Insurance – Products PEAK Matrix® Assessment 2025. Connected Claims 2.0 leverages Appian's Case Management Studio, AI agents, and data fabric to offer streamlined, data-driven, and AI-powered automated processes. Driven by rapid digital transformation, the global insurance claims services processing market is projected to reach $638.3 billion by 2032. Connected Claims 2.0 will support insurers through this growth with a unified claims workflow that accelerates processing, enhances fraud detection, combats inconsistent handling, data management issues and improves customer satisfaction. Connected Claims 2.0 offers a fully integrated, AI-powered platform with customizable workflows and a superior user experience, featuring a single pane of glass, AI-powered data insights, real-time data access, and automated regulatory compliance management. Appian's Connected Claims solution brings powerful AI-driven support to every adjuster, making it easier to manage the demands of a document-heavy claims environment. With capabilities like data classification, document summarization, contextual chat, and next-best-action recommendations, AI accelerates work and improves decision-making. The next generation of the solution introduces the Appian AI Document Center, enabling users to easily train models to extract data from unstructured documents. This means faster intake, more accurate data capture, and seamless handoff for tasks like fraud detection and automated triage. Over time, users can achieve high accuracy and boost straight-through processing (STP) rates—freeing human experts to focus only on the most complex cases. The result is faster, smarter claims handling with less manual work. T rusted by companies like Aon, Canada Life, and Aviva, Appian has also been named a Leader in Everest Group's AI-enabled Claims Management Systems for Property & Casualty (P&C) Insurance – Products PEAK Matrix® Assessment 2025. The assessment considered several factors, including each provider's vision and strategy, technology capabilities, deployment flexibility, customer engagement models, support services, and overall value delivered. Appian's recognition as a Leader highlights its strength in embedding AI directly into processes. This approach enables insurers to easily access powerful AI capabilities exactly when and where they're needed—with just a few clicks. 'Appian's Connected Claims solution, built on its low-code platform, combines AI-driven document processing, seamless third-party integrations, and configurable accelerators to deliver rapid time-to-value for P&C insurers,' said Aurindum Mukherjee, Practice Director at Everest Group. 'Strong integration support across payment, risk, and fraud systems, coupled with proven success driving accelerated business value for insurers and high client satisfaction for implementation and support, underpins Appian's position as a Leader in Everest Group's AI-enabled Claims Management Systems PEAK Matrix® Assessment 2025.' 'We are launching Appian Connected Claims 2.0 to meet the urgent need for speed and early value realization as the insurance industry tackles complexity, " said Jake Sloan, Global Vice President of Insurance, Appian. 'Our solution drives digital-first claims innovation, aligning with core admin cloud modernization for early value realization. It's configurable, rapidly deployable, and leverages the latest powerful AI in Process to accelerate cycles, combat fraud, and personalize customer experiences. Connected Claims 2.0 empowers insurers to transform operations, balancing efficiency and accuracy with superior customer satisfaction, truly leading the evolution of claims management.' Connected Claims 2.0 supports insurance companies, from claims adjusters, fraud detection teams, customer service representatives, regulatory compliance teams, to IT and operations teams. About Appian Appian is The Process Company. We deliver a software platform that helps organizations run better processes that reduce costs, improve customer experiences, and gain a strategic edge. Committed to client success, we serve many of the world's largest companies across various industries. For more information, visit [Nasdaq: APPN] Follow Appian: LinkedIn, X (Twitter) Disclaimer Licensed extracts taken from Everest Group's PEAK Matrix® Reports, may be used by licensed third parties for use in their own marketing and promotional activities and collateral. Selected extracts from Everest Group's PEAK Matrix® reports do not necessarily provide the full context of our research and analysis. All research and analysis conducted by Everest Group's analysts and included in Everest Group's PEAK Matrix® reports is independent and no organization has paid a fee to be featured or to influence their ranking. To access the complete research and to learn more about our methodology, please visit Everest Group PEAK Matrix® Reports. About Everest Group Everest Group is a leading global research firm helping business leaders make confident decisions. Everest Group's PEAK Matrix® assessments provide the analysis and insights enterprises need to make critical selection decisions about global services providers, locations, and products and solutions within various market segments. Likewise, providers of these services, products, and solutions, look to the PEAK Matrix® to gauge and calibrate their offerings against others in the industry or market. Find further details and in-depth content at View original content to download multimedia: SOURCE Appian
Yahoo
26-05-2025
- Business
- Yahoo
After the recent decline, Appian Corporation (NASDAQ:APPN) CEO Matthew Calkins' holdings have lost 4.7% of their value
Insiders appear to have a vested interest in Appian's growth, as seen by their sizeable ownership A total of 2 investors have a majority stake in the company with 51% ownership 34% of Appian is held by Institutions We've discovered 2 warning signs about Appian. View them for free. To get a sense of who is truly in control of Appian Corporation (NASDAQ:APPN), it is important to understand the ownership structure of the business. And the group that holds the biggest piece of the pie are individual insiders with 43% ownership. That is, the group stands to benefit the most if the stock rises (or lose the most if there is a downturn). As market cap fell to US$2.3b last week, insiders would have faced the highest losses than any other shareholder groups of the company. Let's take a closer look to see what the different types of shareholders can tell us about Appian. View our latest analysis for Appian Institutions typically measure themselves against a benchmark when reporting to their own investors, so they often become more enthusiastic about a stock once it's included in a major index. We would expect most companies to have some institutions on the register, especially if they are growing. Appian already has institutions on the share registry. Indeed, they own a respectable stake in the company. This implies the analysts working for those institutions have looked at the stock and they like it. But just like anyone else, they could be wrong. It is not uncommon to see a big share price drop if two large institutional investors try to sell out of a stock at the same time. So it is worth checking the past earnings trajectory of Appian, (below). Of course, keep in mind that there are other factors to consider, too. It would appear that 12% of Appian shares are controlled by hedge funds. That's interesting, because hedge funds can be quite active and activist. Many look for medium term catalysts that will drive the share price higher. The company's CEO Matthew Calkins is the largest shareholder with 39% of shares outstanding. Meanwhile, the second and third largest shareholders, hold 12% and 6.7%, of the shares outstanding, respectively. To make our study more interesting, we found that the top 2 shareholders have a majority ownership in the company, meaning that they are powerful enough to influence the decisions of the company. While it makes sense to study institutional ownership data for a company, it also makes sense to study analyst sentiments to know which way the wind is blowing. There are a reasonable number of analysts covering the stock, so it might be useful to find out their aggregate view on the future. While the precise definition of an insider can be subjective, almost everyone considers board members to be insiders. Company management run the business, but the CEO will answer to the board, even if he or she is a member of it. I generally consider insider ownership to be a good thing. However, on some occasions it makes it more difficult for other shareholders to hold the board accountable for decisions. Our information suggests that insiders maintain a significant holding in Appian Corporation. Insiders own US$979m worth of shares in the US$2.3b company. That's quite meaningful. It is good to see this level of investment. You can check here to see if those insiders have been buying recently. The general public, who are usually individual investors, hold a 11% stake in Appian. While this group can't necessarily call the shots, it can certainly have a real influence on how the company is run. While it is well worth considering the different groups that own a company, there are other factors that are even more important. To that end, you should be aware of the 2 warning signs we've spotted with Appian . Ultimately the future is most important. You can access this free report on analyst forecasts for the company. NB: Figures in this article are calculated using data from the last twelve months, which refer to the 12-month period ending on the last date of the month the financial statement is dated. This may not be consistent with full year annual report figures. Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at) article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
19-05-2025
- Business
- Yahoo
From Silos to Synergy: Agentic AI is transforming financial services
In an industry long dominated by cautious innovation and legacy constraints, Appian is helping financial services companies achieve something rare: agility without compromise. With a platform built on process orchestration, data unification, and now agentic AI, the company is helping traditional firms act more like startups, without abandoning their enterprise rigor. 'We've worked with financial services companies since the company was founded 25 years ago. They are our biggest vertical,' said Sanat Joshi, EVP - product and solutions at Appian. 'They've invested a lot in IT transformation, and we see this as a massive opportunity for them to get a big return on that investment.' Now, Appian's latest leap, Agentic AI, is poised to reshape how banks deploy automation and AI. Through Agent Studio, companies can create and deploy intelligent agents in minutes, tightly integrated into enterprise-grade processes. At this year's Appian World, Agent Studio was arguably the most talked-about release. It enables customers to build AI agents that do more than just automate, they orchestrate end-to-end processes. 'Literally in a matter of minutes, you can create a production-quality agent and deploy it,' Joshi said. 'Early customers are seeing phenomenal results.' But Appian's approach differs sharply from the industry norm. Where many vendors treat AI agents as stand-alone bots or chat tools, Appian embeds them within business workflows. The company believes this integration, AI plus process, is the unlock for exponential value. 'Business process plus agents are so much more exponentially powerful,' he added. 'That's the core difference.' To make that work, Appian provides the structure. The process engine acts as a framework for agents, offering full logging, auditability, and goal setting. The platform's data fabric supplies agents with the precise, role-secured information they need, 'data is the oxygen for agents,' Joshi noted. This foundation also enables faster development. By layering large language models (LLMs) onto existing infrastructure, teams can create and deploy intelligent systems in record time. And for financial services firms, that speed can mean real revenue. One case in point: A customer recently used Appian to launch a new crypto wallet product that integrates both fiat and digital assets. From concept to launch, it took just eight weeks and brought in $30m in customer deposits almost immediately. 'They were able to do this in eight weeks and get the product out,' he said. 'That's just one example of how fast these guys can go.' Such speed is critical in an industry where competition from fintechs, shifting regulations, and rising customer expectations are driving the need for change. Financial institutions have long been plagued by fragmented systems; transactional silos created through decades of automation projects. Appian's goal? Span those silos and unify data, process, and AI under one platform. Joshi expressed: 'That's really our uber objective or North Star, if you will.' But tech alone isn't enough. Many financial services leaders, enchanted by the ease of prototyping tools like OpenAI, assume that building production-grade AI is just as simple. 'There's a big misperception that it's easy to prototype AI, and therefore it should be easy to deploy,' he said. 'But it's not. IT raises real concerns, data security, compliance, governance. That's where we come in.' Appian addresses these concerns head-on. The platform uses private AI that respects enterprise compliance boundaries: no data is stored, all interactions are logged and audited, and models aren't trained on customer data. Appian also handles version control for models, ensuring predictable performance even as model providers evolve. Appian's AI Copilot, unlike Microsoft's similarly named tool, is model-agnostic and deeply embedded in workflows. It selects the best model for each task, balancing speed, accuracy, cost, and regulatory needs. 'Copilot is a generic term suggesting an assistant working side-by-side, without control but with delegated tasks,' the executive explained. 'Ours is based on Appian and built for enterprise-grade control.' To ensure governance, Appian offers Process HQ, a command center that oversees agent behaviour and enables continuous improvement. By marking outcomes as good or bad, organisations create a closed loop learning system. Process mining tools feed into this, identifying bottlenecks and opportunities for further optimisation. 'So yes, process mining, Process HQ, these are still very important,' Joshi emphasised. 'In fact, one would say they become exponentially more important now that agents are part of the mix.' Looking ahead, Appian plans to enhance Process HQ with generative AI-based summaries and recommendations. Instead of dashboards, business users will receive proactive insights directly helping them stay ahead of risks and opportunities. For an industry still navigating legacy constraints, this future is tantalising. 'Traditional financial institutions can stay competitive if they move fast and move smart, we give them the agility of a startup with the discipline of an enterprise.' By integrating AI deeply into processes, rather than treating it as a bolt-on Appian is helping banks and insurers not just modernise, but future-proof. And perhaps most importantly, it's helping them finally realise the value of investments made years ago. "From Silos to Synergy: Agentic AI is transforming financial services" was originally created and published by Private Banker International, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Techday NZ
16-05-2025
- Business
- Techday NZ
Exclusive: Appian's Marc Wilson on why AI needs process to deliver business value
Artificial intelligence doesn't work in a vacuum. That's the key message from Marc Wilson, founder and Chief Executive Ambassador at Appian. He believes businesses are still struggling to generate value from AI because "they're not integrating it properly into their core operations." Speaking with TechDay during a recent interview, Wilson offered a blunt assessment of the current AI landscape in enterprise. "One of the biggest misconceptions that most businesses and most organisations have about AI is that it's indistinguishable from magic - that it just shows up and solves everybody's problems," he said. According to Wilson, too many companies treat AI as an end goal rather than a tool to improve specific outcomes. "I've heard time and time again, senior leaders in organisations basically coming to us and saying, 'I have to deploy AI,' as if that's an end state. The truth is, if you don't look at AI through the lens of value, it's indistinguishable from a science experiment." Appian's core philosophy is clear: AI works best in process. Wilson emphasised that for AI to drive change, it must be "operationalised" - embedded directly into the workflows that govern how an organisation functions. "For an AI capability to affect change in a positive way, it needs to plug into one of those operational flows," he said. "A good example here in Australia is our work with Netwealth," Wilson said. "They used Appian to orchestrate how client service requests were handled, embedding AI to classify and route customer emails." "They achieved 98% accuracy - and got the project running within minutes." Wilson highlighted Hitachi's efforts to unify customer and sales data from across its hundreds of operating companies, and Queensland's National Injury Insurance Scheme, which used Appian's generative AI to extract data from documents with 100% accuracy. Appian also recently launched its new Agent Studio platform at the event, introducing what Wilson described as "agentic AI". Unlike standalone tools that execute isolated tasks, Appian's approach allows AI agents to function as structured contributors within business processes. "With our agentic studio, we're able to tie agentic AI into larger, meatier processes - tasking agents the same way you'd task people or systems," Wilson said. "We're combining multiple agents into an overall journey." That structured approach, Wilson argued, is essential to scale AI safely and effectively. Without a clear framework, he warned, AI agents risk becoming uncontrolled or ineffective. "More organisations are going to get very frustrated very quickly, because they're just going to have this agent, they expect it to do something, and they'll prod it and hope," he said. "If it's not tied into a structure, there's a lot that can go wrong." Governance, he added, must be built in from the start. "Governance and structure are going to become increasingly synonymous," he said. "This is what processes you're allowed to call, what data you're allowed to see, and the limits of your actions. I've created a circle that within it, the AI can do lots of things, but I've constrained the inputs and outputs." Another critical piece is data. AI's performance depends on access to high-quality, integrated information - but that's a challenge when data is spread across disconnected systems. "One of the problems that most organisations have today is that a lot of their data is siloed," Wilson said. "Those silos stop really good AI development and learning." Appian's solution is its patented data fabric, which allows data to be accessed and written across disparate systems without physically moving it. "It creates a virtualised database, allowing you to consolidate customer data and write back to systems," Wilson said. "The AI capabilities come along with that." Wilson is clear about the risks of poorly integrated AI. There's the obvious threat of rogue agents making unauthorised decisions, but there's also the quieter failure mode - when organisations fail to realise any return at all. "If you can't integrate it effectively, if you can't bring it to your processes that matter, it's going to be something that people look at in a year or two and say, 'Yeah, that was a lot of hype, and it really didn't deliver.'" For companies still waiting to see ROI, Wilson had a simple diagnosis: "That's probably an organisation that's trying to stand up AI by itself, looking at it, waiting for it to produce something without having it truly integrated." His advice? Start small, and start practical. "Identify a core business process and think about how AI can remove friction, add speed, or cut costs. We've seen AI take something that took 50 days down to five hours." And if it feels a little mundane? That might be a good sign. "Some of the most impactful AI today is going to be boring - and that might be exactly what you want to get started on," Wilson said. "Boring becomes interesting when it drives real value."
