Latest news with #AgentStudio
Yahoo
20 hours ago
- Business
- Yahoo
Indico Data unveils AI-driven Agentic Decisioning Platform for insurers
Insurtech company Indico Data has launched a new Agentic Decisioning Platform designed specifically for the insurance sector. This suite of AI agents and agentic solutions is designed to augment underwriting and claims decisioning in commercial insurance, the company said. The platform includes Agent Studio, Agent Builder and Agent Workflow Canvas, and has been developed specifically for commercial insurers. The platform will allow carriers to replicate human decision-making in complex workflows including triage, analysis and validation of submissions, the company claims. Indico noted that the platform has led to a more than 80% reduction in manual processing time, a four-times increase in submission handling capacity, and 85% faster turnaround in underwriting and claims processing among insurers that have adopted the technology. The Agentic Decisioning Platform comprises specialised Extraction & Classification, Summarisation, Validation, Data Enrichment and Web Research agents. These agents are intended to handle insurance tasks such as data retrieval, document summarisation, accuracy checks, contextual data integration and web-based information gathering. Agent Builder allows insurers to create customised agents for tasks such as field extraction, classification, validation and summarisation using pre-built templates. The Agentic Workflow Canvas enables users to assemble these agents into complete decision-making workflows, with support for conditional logic, parallel execution and data routing. Current applications include underwriting submission triage, summarisation of multi-year loss run data, ingestion of broker communications, delegated authority bordereaux processing and early-stage claims triage. The Agentic Decisioning Platform is available as part of Indico's Decision Automation Platform. Indico Data CEO Tom Wilde said: 'This is the moment the industry shifts from automation to autonomy. Agentic Decisioning isn't just about efficiency – it is about enabling the insurance enterprise to operate with real-time intelligence, at scale, across every submission. We built this for AI impact, not AI experimentation. 'The Indico platform is the foundation for those ready to lead – not just survive – the next decade of insurance.' In April, Indico Data launched its Ready for Guidewire validated accelerator for ClaimCenter on Guidewire Cloud, available via the Guidewire Marketplace. "Indico Data unveils AI-driven Agentic Decisioning Platform for insurers " was originally created and published by Life Insurance 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.
Techday NZ
20-05-2025
- Business
- Techday NZ
Responsive launches Agent Studio to automate RFP processes
Responsive has announced the launch of Agent Studio, a no-code platform that enables enterprise sales and proposal teams to create custom AI agents for managing compliance, risk assessments, content management, and other tasks involved in the RFP process. This new offering allows users, including those at large organisations such as SAP, to automate critical review processes and surface key insights across substantial volumes of business opportunities. The introduction comes as Responsive reports having managed over USD $750 billion in opportunities through its platform to date. Agent Studio is designed as a no-code environment for users to build AI agents capable of handling tasks such as content clean-up, compliance reviews, archiving, tagging, and identifying outdated information. Teams can schedule agents, trigger them on demand, and monitor their operations, ensuring clear governance and complete audit trails. Responsive will also provide Professional Services support to assist customers with their requirements when building custom agents. Jamie Ninneman, Global Head of RFx Advisory at SAP, said: "The future lies in democratizing access to institutional knowledge—and AI is central to that shift. Responsive has been a valuable leader in this journey, helping companies scale how they respond, collaborate, and accelerate their transformation with Strategic Response Management." According to AJ Sunder, Chief Product and Information Officer at Responsive: "Custom AI agents are the next productivity revolution—and with Agent Studio, any team can build them without heavy development or deep technical expertise. Sales and proposal teams can now build agents tailored to their specific needs. As customers apply these agents to real business problems, we gain early insight into the next wave of high-impact AI use cases that will shape the future of work." Agent Studio is introduced alongside two new AI agents: Analysis Agent and Answering Agent. The Analysis Agent has been integrated into Responsive's conversational interface, Ask, to review RFPs, RFIs and related documents. It extracts critical requirements and surfaces potential risks, providing sales teams with concise assessments to enable faster and better-informed go/no-go decisions. The Answering Agent, also available in Slack and within Ask, drafts responses for RFPs, questionnaires, and ad hoc questions, drawing from vetted organisational content while providing appropriate citations. This is intended to support teams in developing high-quality responses more efficiently, based on trusted internal knowledge. In addition to enhancing agent capabilities, Responsive is introducing Guided Projects, a self-serve AI tool designed to empower field teams to respond to RFPs and assessments without always relying on central proposal or bid teams. Guided Projects extracts key requirements, drafts responses, performs compliance checks, and enables teams such as sales, customer success, and solution consulting to independently manage complex responses. Alexis Hourselt, Interim Director, Proposal Center of Excellence at Microsoft, commented on the company's collaboration with Responsive: "At Microsoft, empowering our field teams with greater self-service capabilities is central to our strategy. As an early partner of Responsive, we're collaborating to innovate on solutions like Guided Projects that enable our teams to operate more independently and effectively." To address ongoing challenges regarding quality and accuracy in AI-generated responses, Responsive has introduced TRACE Score, an industry-first content scoring system that objectively assesses responses. In parallel, the Quality Check tool provides automated auditing for content review and validation. These features aim to mitigate risk and ensure that responses produced by AI agents meet required standards for completeness, accuracy, and compliance. Responsive's leadership in Strategic Response Management is also highlighted by recognition from industry bodies and research organisations, including being named a "Leader" in the Aragon Research "Globe for Strategic Response Management, 2025" and ranking #1 in global RFP software on G2 for 25 consecutive quarters. Its TRACE Score was also cited among the top AI-enabled products for go-to-market strategies by SilconANGLE Media in their 2025 Tech Innovation CUBEd Awards. These developments continue Responsive's focus on enabling enterprise customers to manage and share operational knowledge at scale, respond to business requests efficiently, and maintain consistency and quality in their strategic responses across global teams.
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
30-04-2025
- Business
- 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.
Yahoo
17-04-2025
- Business
- Yahoo
Dyna.Ai Unveils Agentic AI Suite - The World's First Multi-Language, Multi-Channel, Multi-Modal AI Agent Platform for Enterprise
SINGAPORE, April 17, 2025 /PRNewswire/ -- today announces the global launch of Agentic AI Suite, an enterprise-grade AI platform purpose-built for intelligent, collaborative agents that communicate across multi-language, multi-channel, and multi-modality. Designed to enhance automation, cross-agent collaboration, and localization, the platform ushers in a new era of AI-native business transformation. "Agentic AI Suite reflects our long-term vision of democratizing enterprise AI through accessible, multilingual, and agentic technologies," said Tomas Skoumal, Chairman and Co-founder of "We believe the next wave of digital transformation will be driven by AI agents that can work together—across systems, departments, and borders—to enable smarter operations and more inclusive growth." All-in-One Platform for the Next Generation of Enterprise AI The Agentic AI Suite combines a versatile agent development framework, a multi-agent orchestration engine, and a robust enterprise application layer, all optimized for high-performance, secure, and scalable deployment. At the core of the platform is Agent Studio, a low-code development environment that enables businesses to create, train, and deploy AI agents with ease. It is model-agnostic, supporting a variety of leading models—including Dyna LLM, open-source models, and commercial LLMs—allowing for flexible and scalable agent development. Key features of Agent Studio include: Multi-Agent Collaboration: Agents can share memory, context, and intent to complete complex tasks as a cohesive team. Multi-Modal Interaction: Support for text, voice, and image inputs enables agents to engage in human-like communication across various modalities. Multi-Language Support: Over 100 languages and dialects are supported, empowering businesses to engage with a truly global audience. Enterprise-Grade Security: Robust security measures, including end-to-end encryption and customizable access controls, ensure data protection and compliance with industry standards. Agent Store: Ready-Made or Custom at Scale To fast-track AI deployment, introduces the Agent Store, a global marketplace offering a wide range of pre-trained, industry-specific AI agents. Businesses can choose from agents tailored for banking, telecom, retail, BPO, and more. These agents are designed to meet the needs of different industries while offering customization options to ensure they perform optimally for each unique operation. The Agent Store also features a performance-based rating system that helps businesses identify top-performing AI agents, optimizing them for real-world applications. Through this marketplace, companies are able to quickly deploy pre-built agents or customize them to fit specific business processes—saving valuable time and resources while ensuring seamless integration into existing workflows. Agentic Apps: Tailored AI Solutions for Every Business Function Agentic Apps, built on the Dyna Agentic AI platform, are designed to automate and optimize knowledge-intensive workflows across industries. These applications enable seamless orchestration of multi-agent systems, providing real-time adaptability and precision in executing complex tasks. During the launch, demonstrated several cutting-edge solutions, including: Process Agent for Credit Memo: Automating financial processes with precision and efficiency. Voice Agent for Marketing: Enhancing customer acquisition and retention with targeted, dynamic, personalized voice interactions. AI Native App for Financial Product Consultations: Enabling customers to access real-time information and support. Avatar for Customer Service and Marketing: Interacting with customers through engaging, human-like avatars to boost conversion rates. These applications highlight the seamless integration of various AI agents, working together to enhance business efficiency and customer engagement. Global Reach and Focus on Emerging Markets The platform is designed to integrate seamlessly with enterprise systems—Social Media Platforms, APIs, CRMs, ERPs, data warehouses. With its inclusive design and multilingual capabilities, enables organizations in emerging markets to leapfrog into the AI era, with full control over localization, compliance, and scalability. "Our AI architecture—spanning compute infrastructure, foundational models, domain-specific AI, workflow automation, and application delivery—allows enterprises to plug-and-play pre-built AI agents or rapidly develop custom solutions that enhance both customer and employee experiences," added Joao Tapadinhas, Chief Architect of "Agentic AI Suite solves the real challenges of enterprise AI, providing multi-agent collaboration, low-latency performance, and seamless deployment at global scale." Agentic AI Suite is available globally, offering both cloud and on-premise deployment options. Enterprises can begin using pre-built solutions from the Agent Store or leverage Agent Studio to create and deploy custom AI agents tailored to their unique business needs. To learn more, visit About is a leading AI-as-a-Service company headquartered in Singapore, dedicated to transforming the finance industry and beyond with cutting-edge AI-driven products and solutions. Our expertise encompasses state-of-the-art AI models, sophisticated algorithms, AI-human interaction technologies, and big data analytics. These capabilities enable us to deliver top-tier AI solutions that empower our clients to achieve business success and maintain a competitive edge in a rapidly evolving market. At we are committed to harnessing advanced AI technology to provide innovative, industry-specific solutions for the financial sector and beyond, improving marketing, risk management, customer experience and employee experience, while driving enterprise productivity and efficiency. View original content: SOURCE Sign in to access your portfolio
