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Business Wire
a day ago
- Business
- Business Wire
OutSystems Named a Leader for the Ninth Year in Gartner ® Magic Quadrant™ for Enterprise Low-Code Application Platforms, Paving the Way for Agentic AI Innovation
BOSTON--(BUSINESS WIRE)-- OutSystems, a leading AI-powered low-code development platform, today announced it has been recognized as a Leader in the 2025 Gartner ® Magic Quadrant™ for Enterprise Low-Code Application Platforms (LCAP) for the ninth consecutive year. 'Right now, we're at a critical inflection point where every company is trying to become an AI-powered, agentic enterprise,' said Woodson Martin, CEO of OutSystems. 'OutSystems is the platform enabling this transformation, offering what the market desperately needs: a secure, scalable foundation to move from AI chaos to AI impact. We are focused on empowering IT teams to securely build and evolve business applications, agents, and core systems so that our customers can launch new apps in weeks, gain greater agility, and evolve as business needs change. In our opinion, today's recognition from Gartner further validates our long-term strategy and vision, and the work we're doing with customers and partners to help them navigate the shift into an agentic future.' In OutSystems opinion, the company believes Gartner recognized the company for continued industry leadership in enterprise low-code application platforms for its strengths across ability to execute and completeness of vision. A modern platform, built for scale: OutSystems Developer Cloud is designed to support complex, high-scale enterprise needs, accelerating innovation and empowering organizations to grow with confidence. As such, OutSystems is a trusted long-term partner for organizations requiring scalable, enterprise-grade support. Ready for an AI-driven future: Backed by a well-articulated vision that aligns with the future of enterprise application development, including support for distributed architectures, multiexperience, and agentic AI, OutSystems Developer Cloud is designed to evolve with agentic AI, enabling app and agent development and helping organizations future-proof their tech stacks. Powering custom apps and agents: The OutSystems platform simplifies complex development work through the entire software development lifecycle, so IT teams can create apps and agents that deliver on precise business needs and use cases. Global growth, with local expertise: OutSystems continued investment in international expansion provides strong regional support across EMEA, North America, and Asia Pacific (APAC). Customers benefit from regional go-to-market execution and robust multilingual capabilities, reinforcing OutSystems commitment to delivering global scale with local impact. 'For the development work that we do at UCLA Anderson School of Management, we're seeing declining resources, the need for speed and time to market, reducing technical debt and legacy systems - when you add that all together, it makes perfect sense to be using a platform that is low code and AI,' said Howard Miller, CIO at UCLA Anderson School of Management. 'That is where development is in 2025, and companies like us need a partner that offers modern architecture and is future-ready.' With OutSystems, organizations can leverage the combined power of low-code speed with enterprise-grade power and AI capabilities, via OutSystems Mentor and Agent Workbench. This empowers customers to move beyond MVP demos and gain the ability to generate secure, governed mission-critical agents, applications, and systems in production. 'OutSystems AI capabilities can significantly accelerate the modernization of legacy applications while helping to reduce the risk of new technical debt,' said Rajkiran Vajreshwari, Senior Manager, Application Development at Thermo Fisher Scientific. 'The ramp-up with OutSystems is fast, which will empower our talent pool to quickly adopt the platform and accelerate the digitization of our processes and organization.' To view the full 2025 Gartner Magic Quadrant for Enterprise Low-Code Application Platforms, click here. The report was titled as 'Magic Quadrant for Enterprise High-Productivity Application Platform as a Service' from 2017-2018. GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. About OutSystems OutSystems is a leading AI-powered low-code development platform, empowering IT leaders with a better way to build the software that matters most. The OutSystems platform helps companies develop, deploy, and maintain mission-critical applications by unifying and automating the entire software lifecycle. With OutSystems, organizations leverage gen AI to deliver software instantaneously, adapt faster to changing requirements, and reduce technical debt by building on a future-proof platform. Helping customers achieve their business goals by addressing key strategic initiatives, OutSystems delivers production software up to 10x faster than traditional development. Recognized as a leader by analysts, IT executives, business leaders, and developers around the world, global brands trust OutSystems to tackle their impossible projects and turn their big ideas into software that moves their business, people, and the world forward. Founded in 2001, the company's network spans more than 800,000 community members, over 500 partners, and active customers in 75+ countries across 21 industries. Learn more at
Scoop
23-07-2025
- Business
- Scoop
Custom AI Agents Signal Major Workforce And Development Shifts, Says OutSystems Study
Custom AI agents are poised to reshape how enterprises build software and structure their workforces, according to new research from OutSystems. The global survey of 550 software executives found that 93% of companies are actively developing or planning to develop their own AI agents, highlighting the fast-growing adoption of so-called 'agentic AI'. The study, created with CIO Dive and KPMG, suggests businesses are embracing AI agents as a strategic response to mounting pressure for digital transformation, faster innovation, and cost-efficient operations. Agentic AI offers a solution by automating complex processes, integrating siloed systems, and enabling personalised digital interactions at scale. 'AI agents are no longer just a concept—they're becoming operational building blocks within organisations,' said Woodson Martin, CEO of OutSystems. 'Soon, they'll function like specialised digital teams, identifying business opportunities and refining solutions without direct human intervention.' Beyond streamlining development cycles, AI agents are altering the makeup of software teams. OutSystems' data shows that nearly 70% of executives expect AI to introduce new, specialised roles such as agent orchestration and oversight positions. Additionally, 63% anticipate significant reskilling of existing staff to manage and work alongside AI tools. AI's business value is also becoming clearer: more than half of respondents cited improved customer experiences, accelerated software development timelines, and the automation of repetitive tasks as key benefits. Customer service leads current AI agent deployment, but executives are eyeing broader use across product development, marketing, and supply chains. However, the study also underscores risks tied to AI proliferation. Governance and compliance concerns top the list, alongside fears over the transparency of AI decision-making and the growing technical debt caused by uncoordinated AI deployments. Michael Harper of KPMG LLP noted, 'Many organisations that began with cautious AI pilots are now seeing tangible productivity and quality gains. This is giving them the confidence to integrate AI more broadly into their operations.' As businesses increasingly lean on AI-powered autonomy to scale and innovate, the emergence of AI agents signals a turning point not just for software development, but for workforce strategy and organisational design.
Techday NZ
21-07-2025
- Business
- Techday NZ
Most software executives plan custom AI agents to drive change
New research indicates that 93% of software executives are planning to develop or are already developing custom AI agents within their organisations, reflecting a significant shift towards agentic AI adoption across the industry. The report, titled Navigating Agentic AI & Generative AI in Software Development: Human-Agent Collaboration is Here , was commissioned by OutSystems in partnership with CIO Dive and KPMG. Surveying 550 global software executives, it explores how artificial intelligence is affecting the software development lifecycle (SDLC) and the workplace at large. AI changing software development With technology budgets scrutinised and outcomes under pressure, IT leaders are increasingly turning to agentic AI to address operational hurdles such as fragmented toolsets and siloed data. Businesses are reporting that agentic AI enables them to automate key workflows, offer more personalised digital services, and innovate rapidly - all while maintaining compliance, security, and governance standards. Woodson Martin, Chief Executive Officer of OutSystems, commented, "The software development lifecycle is undergoing a significant transformation as organizations increase AI investments to maintain their competitive edge. Blending AI with development tools enables IT leaders to manage this shift effectively and securely. In a near future, AI agents acting as highly specialized teams will continuously monitor business needs, identify opportunities, and proactively refine software solutions, allowing developers and business leaders to play a more creative role and focus on strategic priorities. This report underscores how AI advancements are reshaping traditional roles and unlocking opportunities for innovation and collaboration between humans and technology." Survey respondents highlighted concrete results from AI adoption: more than two thirds reported increased developer productivity and higher-quality software with fewer bugs. Additionally, 62% noted improved scalability in development, while 60% cited greater efficiency in testing and quality assurance (QA). Impacts on the workforce The report projects that experimentation with agentic AI and its uptake over the next 24 months will drive organisational change. According to the survey, 69% of software executives expect AI to introduce new, more specialised roles - including oversight, governance, prompt engineering, agent architecture, and agent orchestration - to adapt to AI's evolving function within companies. Furthermore, 63% of respondents said AI will require considerable upskilling or reskilling of existing teams to meet the skills needed in this new landscape. Where AI is being used Almost half (46%) of executives report their organisations already integrate agentic AI into workflows, with a further 28% in the piloting stage. The most anticipated area for AI agent deployment is customer support, with 49% planning to use AI agents to handle customer inquiries and support functions autonomously. The focus on customer service exceeds other domains such as product development (38%), sales and marketing (32%), supply chain management (28%), human resources (24%), and finance and accounting (23%). Drivers and risks associated with AI The primary goals for AI adoption, as expressed by over half the respondents, include improving customer experience (56%), automating repetitive tasks (55%), accelerating software development (54%), and advancing broader digital transformation objectives (53%). However, the report also identifies significant challenges. 64% of software executives cited risks around governance, security, and compliance with widespread AI adoption. An equal proportion expressed concerns regarding transparency and reliability of AI decisions. The proliferation of disparate AI tools has led to new issues with oversight and increasing technical debt, with 44% identifying AI sprawl as a growing risk. Addressing these burdens will be critical in ensuring AI's long-term value for business. Building confidence in AI tools Michael Harper, Managing Director at KPMG LLP, noted, "A lot of organizations started with pilots a year ago or even prior to that, but now they're starting to see real efficiency gains in areas like code generation and application testing. Those activities are giving organizations more confidence in using these tools and helping them to move forward." The survey covered executives from a range of industries and geographies, including IT consultancy, manufacturing, banking, financial services, and insurance, with data collected across the United States, United Kingdom, Japan, France, Canada, Australia, India, and Germany.
Korea Herald
21-07-2025
- Business
- Korea Herald
The AI Agent Arms Race: Latest OutSystems AI Study Reveals 93% of Software Executives Plan to Introduce Custom AI Agents Within Their Organizations
AI-powered app development leader reports growing adoption of agentic AI, signaling shifts in workforce skills and software development dynamics SINGAPORE, July 21, 2025 /PRNewswire/ -- New research from OutSystems, a leading AI-powered low-code development platform, points to an increasing trend in agentic AI prioritization among software executives, with 93% of organizations already developing—or planning to develop—their own custom AI agents. The report, Navigating Agentic AI & Generative AI in Software Development: Human-Agent Collaboration is Here, was completed in collaboration with CIO Dive and KPMG, exploring the widespread use of AI across the SDLC in businesses around the world. Today's IT leaders are under immense pressure to deliver measurable business value while managing constrained resources and aligning technology investments with long-term strategic goals. The introduction of agentic AI helps address these demands by tackling challenges that traditional technology approaches can often exacerbate: fragmented tools, and limited ability to leverage data siloed across the organization and integrate its existing systems. With agentic AI, leaders can automate large-scale processes, create hyper-personalized digital experiences, and drive innovation with agility. Capable of enabling seamless enterprise-wide data access and upholding rigorous standards for compliance, security, and governance, agentic AI is poised to transform business processes and experiences and help organizations embrace an AI-first future. "The software development lifecycle is undergoing a significant transformation as organizations increase AI investments to maintain their competitive edge. Blending AI with development tools enables IT leaders to manage this shift effectively and securely," said Woodson Martin, CEO of OutSystems. "In a near future, AI agents acting as highly specialized teams will continuously monitor business needs, identify opportunities, and proactively refine software solutions, allowing developers and business leaders to play a more creative role and focus on strategic priorities. This report underscores how AI advancements are reshaping traditional roles and unlocking opportunities for innovation and collaboration between humans and technology." The OutSystems report, which includes survey responses from 550 global software executives, examines how AI adoption is transforming software development processes, with measurable impacts. More than two thirds of respondents reported increased developer productivity, and improved software quality through fewer bugs. 62 percent of respondents also reported improved scalability of development efforts, and 60 percent pointed to gains in enhanced testing and quality assurance (QA) efficiency. With AI acting as the catalyst for a reimagined software development process, these advancements go beyond efficiency gains. They're empowering developers to shift their focus from repetitive tasks to crafting unique solutions in partnership with business leaders and solving more complex user challenges, leading to the creation of new roles and improved innovative agility and scalability. The report also found that increases in and experimentation with agentic AI over the next 24 months will spur workforce transformation and innovation throughout the organization. The majority of software executives (69%), anticipate AI will introduce new, more specialized roles (e.g., oversight, governance, prompt engineering, agent architect, and agent orchestration) to accommodate the evolving role AI will play within organizations. More than three out of five respondents (63%) also feel that AI will require substantial upskilling or reskilling within existing development teams. Additional key findings from the report include: "A lot of organizations started with pilots a year ago or even prior to that, but now they're starting to see real efficiency gains in areas like code generation and application testing," says Michael Harper, Managing Director at KPMG LLP. "Those activities are giving organizations more confidence in using these tools and helping them to move forward." [METHODOLOGY] The research surveyed 550 software executives around the world whose companies span IT consultancy services, manufacturing, banking, financial services and insurance among others. The primary objective of the survey was to gather insights on AI and agentic AI adoption in the software development lifecycle from IT leaders. This survey was conducted between April 25, 2025 and May 5, 2025 across the U.S., U.K., Japan, France, Canada, Australia, India and Germany. About OutSystems OutSystems is a leading AI-powered low-code development platform, empowering IT leaders with a better way to build the software that matters most. The OutSystems platform helps companies develop, deploy, and maintain mission-critical applications by unifying and automating the entire software lifecycle. With OutSystems, organizations leverage gen AI to deliver software instantaneously, adapt faster to changing requirements, and reduce technical debt by building on a future-proof platform. Helping customers achieve their business goals by addressing key strategic initiatives, OutSystems delivers production software up to 10x faster than traditional development. Recognized as a leader by analysts, IT executives, business leaders, and developers around the world, global brands trust OutSystems to tackle their impossible projects and turn their big ideas into software that moves their business, people, and the world forward. Founded in 2001, the company's network spans more than 800,000 community members, over 500 partners, and active customers in 75+ countries across 21 industries. Learn more at .
Channel Post MEA
16-07-2025
- Business
- Channel Post MEA
OutSystems Unveils Agent Workbench To Accelerate AI Innovation
OutSystems has announced the Early Access Program for OutSystems Agent Workbench. Agent Workbench enables enterprises to create and orchestrate intelligent agents for any use case—and across any department, workflow, or data—with enterprise-grade security and control. Delivered on OutSystems trusted platform, Agent Workbench makes it easier than ever for pragmatic leaders to innovate at speed and orchestrate human-AI collaboration. 'Organizations are excited by the promise of AI and agentic systems, but are struggling with endless pilots and ungoverned tool sprawl while the business impact stalls. Legacy systems, siloed data, fragmented AI tools, and complex AI development cycles are slowing progress,' said Woodson Martin, CEO of OutSystems. 'We built Agent Workbench to make it possible to unlock custom agents as a true business enabler—not an experiment.' With everything organizations need to create and scale enterprise-grade agents, OutSystems Agent Workbench simplifies the transformation of existing business applications, workflows, and tools into intelligent, agentic systems that can reason, plan, and act. IT teams can embed agentic AI into enterprise-wide operations without disrupting current workflows or rearchitecting core systems—accelerating adoption and time to value. From connecting to custom AI models to creating and orchestrating agents that work across all enterprise applications and data, Agent Workbench makes AI a driver of enterprise innovation. With Agent Workbench, organizations of any size can: Build and scale AI agents that work across the entire enterprise effortlessly and safely for real-time goal interpretation, option evaluation, and decision-making, while controlling tool sprawl through a single platform. for real-time goal interpretation, option evaluation, and decision-making, while controlling tool sprawl through a single platform. Seamlessly integrate with custom AI models or leading third-party providers like Azure OpenAI and AWS Bedrock to centralize control over AI and data access, decrease cost, and enable multi-vendor utilization. like Azure OpenAI and AWS Bedrock to centralize control over AI and data access, decrease cost, and enable multi-vendor utilization. Ground AI agents with a unified data fabric that connects to diverse enterprise data sources, such as existing OutSystems 11 data and actions, relational databases, data lakes, knowledge retrieval systems like Kendra and Azure AI Search, and even agent memory of past interactions, to ensure accurate and context-rich responses across workflows. such as existing OutSystems 11 data and actions, relational databases, data lakes, knowledge retrieval systems like Kendra and Azure AI Search, and even agent memory of past interactions, to ensure accurate and context-rich responses across workflows. Orchestrate multi-agent workflows where agents dynamically adjust process flows based on an understanding of all enterprise systems, with real-time context, reasoning, and decisions to tackle complex tasks—whether working in parallel, sequentially, or hierarchically. This enables collaborative task execution, escalation handling, and human intervention when necessary. where agents dynamically adjust process flows based on an understanding of all enterprise systems, with real-time context, reasoning, and decisions to tackle complex tasks—whether working in parallel, sequentially, or hierarchically. This enables collaborative task execution, escalation handling, and human intervention when necessary. Monitor agent performance enterprise-wide with real-time logging, error tracing, and built-in guardrails to ensure transparent, reliable decision-making. Gain full visibility into how AI agents operate at every step—making it easy to audit, troubleshoot behavior, and prevent hallucinations, while building trust through explainability and control.
