Appian recognised for AI innovation on 2025 AIFinTech100 list
The annual AIFinTech100 list identifies one hundred companies worldwide that are applying AI to modernise and enhance banking, insurance and compliance processes.
This year's list was compiled from over 2,000 candidates and selected by a panel of analysts and financial sector professionals.
The AIFinTech100 initiative is managed by FinTech Global, a research platform specialising in the financial technology sector. Richard Sachar, Director at FinTech Global, stated, "AI is fundamentally reshaping the financial services landscape. The companies featured on this year's AIFinTech100 list are at the forefront of that transformation, developing solutions that enhance operational efficiency, strengthen compliance, improve customer engagement, and drive innovation across the board."
Appian's selection highlights its strategy of integrating AI across financial workflows, enabling banks and other financial institutions to embed AI-driven decision-making throughout their operations.
The company's technology is used in processes including risk management, operational efficiency improvements and customer service.
According to Appian, its approach ensures that AI is embedded directly into orchestrated workflows, with a focus on responsible deployment, transparency, adherence to regulatory requirements, and the ability to measure the results for the business. This method is intended to help customers balance automation and human oversight while maintaining robust governance.
John Trapani, Industry Leader, Financial Services at Appian, stated, "Many financial institutions are experimenting with AI, but true value comes from strategic implementation. Our customers are using Appian to bring AI into onboarding, loan processing, KYC, and more—automating routine work while keeping people in control. By embedding AI in orchestrated workflows, we give it purpose, governance, and impact. That's why process-driven AI delivers lasting value across the financial enterprise."
Appian has reported that its technology is currently being used by several major financial organisations, including State Street Global Advisors, NatWest, and S&P Global.
These companies employ the platform to support compliance functions, enhance customer experiences, and improve operational agility across their businesses.
The firm says its secure platform and AI capabilities help financial institutions accelerate innovation, adapt to changing requirements, and manage risk in a regulated environment. Appian's platform is positioned as a tool for institutions seeking to modernise and scale operations while maintaining confidence in their compliance and governance standards.
Appian provides software technology across a range of industries, with a focus on helping organisations automate and optimise their internal processes.
The company's offerings are designed to support the financial sector in managing costs, improving customer experiences, and achieving strategic business outcomes through the effective use of AI and workflow technologies.
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Techday NZ
09-07-2025
- Techday NZ
Appian recognised for AI innovation on 2025 AIFinTech100 list
Appian has been named to the 2025 AIFinTech100 list by FinTech Global, recognising the company for its use of artificial intelligence in the transformation of financial services. The annual AIFinTech100 list identifies one hundred companies worldwide that are applying AI to modernise and enhance banking, insurance and compliance processes. This year's list was compiled from over 2,000 candidates and selected by a panel of analysts and financial sector professionals. The AIFinTech100 initiative is managed by FinTech Global, a research platform specialising in the financial technology sector. Richard Sachar, Director at FinTech Global, stated, "AI is fundamentally reshaping the financial services landscape. The companies featured on this year's AIFinTech100 list are at the forefront of that transformation, developing solutions that enhance operational efficiency, strengthen compliance, improve customer engagement, and drive innovation across the board." Appian's selection highlights its strategy of integrating AI across financial workflows, enabling banks and other financial institutions to embed AI-driven decision-making throughout their operations. The company's technology is used in processes including risk management, operational efficiency improvements and customer service. According to Appian, its approach ensures that AI is embedded directly into orchestrated workflows, with a focus on responsible deployment, transparency, adherence to regulatory requirements, and the ability to measure the results for the business. This method is intended to help customers balance automation and human oversight while maintaining robust governance. John Trapani, Industry Leader, Financial Services at Appian, stated, "Many financial institutions are experimenting with AI, but true value comes from strategic implementation. Our customers are using Appian to bring AI into onboarding, loan processing, KYC, and more—automating routine work while keeping people in control. By embedding AI in orchestrated workflows, we give it purpose, governance, and impact. That's why process-driven AI delivers lasting value across the financial enterprise." Appian has reported that its technology is currently being used by several major financial organisations, including State Street Global Advisors, NatWest, and S&P Global. These companies employ the platform to support compliance functions, enhance customer experiences, and improve operational agility across their businesses. The firm says its secure platform and AI capabilities help financial institutions accelerate innovation, adapt to changing requirements, and manage risk in a regulated environment. Appian's platform is positioned as a tool for institutions seeking to modernise and scale operations while maintaining confidence in their compliance and governance standards. Appian provides software technology across a range of industries, with a focus on helping organisations automate and optimise their internal processes. The company's offerings are designed to support the financial sector in managing costs, improving customer experiences, and achieving strategic business outcomes through the effective use of AI and workflow technologies.
Techday NZ
16-05-2025
- 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."
Techday NZ
30-04-2025
- Techday NZ
Appian unveils platform update with agentic AI & data fabric
Appian has announced enhancements to its platform with embedded agentic AI capabilities and new data fabric features to aid organisations in building, deploying, and scaling intelligent process applications. The company's latest platform update introduces the beta launch of Agent Studio and the general availability of AI Document Center, alongside expanded data fabric capabilities for document management and semantic search across records and documents. Agent Studio enables users to design and deploy AI agents with greater autonomy and improved contextual awareness. These AI agents are capable of reasoning through complex, multi-step tasks and can interact with multiple systems, such as updating records, sending emails, and responding dynamically to new inputs. The platform is designed to help developers create AI agents that not only execute tasks but also make informed decisions based on real-time data and business logic. A key component of the update, AI Document Center, serves as an application for enterprise-grade intelligent document processing. It is engineered to handle complex document formats while maintaining high extraction accuracy and scalability for large-scale enterprise workloads. Century Fire Protection, a customer using the platform, has cited efficiency improvements after integrating the solution. Alex Polyakman, Chief Financial Officer of Century Fire Protection, said, "Adding Appian AI into Century's AP management workflow has resulted in a more modern, controlled and efficient process, leading to significant benefits." The update also includes smart search functionality, which utilises AI-driven semantic search technology to enhance the retrieval of records. Instead of relying solely on keyword matching, the new feature interprets user intent, uncovers connections, detects patterns, and surfaces related records. Through this, users can search across an organisation's entire data fabric, including text fields and documents attached to records. With this release, generative AI agents can now be used within autoscale processes. Appian's Autoscale, part of its cloud offering, is designed for high-volume, high-throughput automation and dynamically adjusts process execution capacity according to demand. This autoscale capability is intended to help organisations respond efficiently to increased demand without the need for over-provisioning, providing a reported increase in capacity by 10 to 100 times. Other enhancements to the platform's data fabric include native support for documents, allowing organisations to manage, relate, and secure documents using record types. This eliminates the need for folder-based document organisation and gives developers the ability to build more document-centric applications. Data fabric also now supports incremental synchronisations as frequently as every 15 minutes, with external data syncs supporting up to 20 million rows per record to facilitate more responsive applications. Additional improvements to the user interface involve automatic integration of common form headers and wizard functionality in Appian UI, along with recommendations for modern user experience patterns. Forms generated from the data fabric are expected to benefit most from these updates. Michael Beckley, Chief Technology Officer and Founder of Appian, commented, "AI works best in a process. Appian's process orchestration and data fabric provide the foundation needed to get real value out of AI while maintaining data security." Appian has positioned these updates as part of its approach to improving business processes by integrating artificial intelligence, ensuring governance and accountability in their deployment and offering a framework for purpose-driven AI applications within enterprise environments.
