Outsystems Unveils Open Agentic Methods Platform
OutSystems right this moment launched the Agentic Methods Platform and the OutSystems Agent Expertise, a brand new platform layer that exposes a set of A2A and MCP instruments and companies..
“Enterprise leaders are realizing they want leverage and management on this extremely fragmented and dynamic AI market. To take care of that leverage and defend margins, organizations should separate their proprietary enterprise logic and information from particular AI suppliers,” mentioned Woodson Martin, CEO at OutSystems. “Our Agentic Methods Platform offers the open and impartial platform to make sure optionality and management. Prospects can optimize for digital sovereignty, efficiency and value and might work throughout all the newest fashions and instruments with out rebuilding their core operations each time. In a time of nice change, we’re guaranteeing the CEO and CFO keep management over the corporate’s future.”
Constructed on the Agentic Methods Platform, which is powered by the OutSystems Enterprise Context Graph, the next improvements fall into three domains: Agentic Methods Engineering, Agentic Enterprise Orchestration, and Agentic Trade Options.
Agentic Methods Engineering: OutSystems right this moment expanded its Agentic Methods Engineering capabilities via new Agent Expertise improvement companies – a local integration with Kiro (an Agentic Growth Setting from AWS) to construct, handle, and govern brokers and purposes on the OutSystems platform. OutSystems additionally launched Legacy Modernization Companies powered by AWS Remodel, delivering an automatic pipeline that migrates legacy methods based mostly on applied sciences like COBOL and Lotus Notes into high-performance agentic methods. Kiro improvement companies, in addition to Legacy Modernization Companies, can be found in preview right this moment for choose clients with expanded AWS Remodel integration capabilities coming in Q3.
Agentic Enterprise Orchestration: The corporate right this moment unveiled Agentic Enterprise Orchestration, powered by the Enterprise Context Graph and that includes Amazon Bedrock. That is the following era of Agent Workbench, enabling organizations to architect, orchestrate, and govern an agile workforce of AI brokers. Agentic Enterprise Orchestration launched right this moment, bringing superior agent evaluations, exact guardrails, built-in semantic search, and deepened Amazon Bedrock assist to the enterprise. This combines the OutSystems dynamic operational context layer with Amazon’s broad mannequin administration tooling to offer entry to essentially the most cost-effective and high-performing fashions. Obtainable right this moment, present clients can leverage these new GA capabilities utilizing Agent Workbench.
Agentic Trade Options: OutSystems right this moment additionally launched its first end-to-end Banking Resolution for Mortgage Origination, the primary of a household of upcoming Agentic Trade Options. By streamlining the deployment of cutting-edge agentic expertise, these Options de-risk AI adoption whereas radically accelerating time-to-value. Additionally leveraging Amazon Bedrock, Agentic Trade Options profit from entry to a library of domain-specific fashions (e.g. skilled on finance, legislation, or use case particular issues like doc processing) to additional optimize efficiency and prices at scale. builders can get began right this moment with the OutSystems Banking and Monetary Companies Agent Equipment, with the primary end-to-end Banking Resolution accessible early Q3.
Testlio Launches Human-in-the-Loop Testing for AI Brokers
Crowdsourced testing platform supplier Testlio right this moment has launched AI Agent Testing companies , which brings collectively the corporate’s human-in-the-loop orchestration and proprietary AI-driven insights from 13+ years of QA experience into agentic workflows.
An agent that performs in a managed run can nonetheless break the second it meets an actual system, a regional fee circulate, or a consumer who doesn’t comply with the script. Testlio’s AI-certified world testing neighborhood validates agentic workflows within the unpredictable circumstances the place failures truly happen. Testlio tackles essentially the most vital challenges groups face right this moment with their agentic workflows:
Brokers fail throughout unpredictable real-world instances. Testlio’s AI-certified testers run hundreds of what-if situations to maintain brokers contextual and types out of bother.
Automation-only evaluations miss nuanced points. Testlio’s proprietary analysis framework captures the refined dangers and behavioral points that automation overlooks.
Agentic failures present up as quiet liabilities and coverage violations. Testlio verifies information strikes precisely between steps, catching vital leaks earlier than clients do.
Firms that launch quick are sometimes on the highest danger of shedding years of belief. Testlio matches fast deployment cycles with high-velocity, real-time insights.
“Testlio is uniquely positioned for this second, combining years of confirmed world funds testing with this new AI agent validation service,” mentioned Summer season Weisberg, CEO at Testlio. “As enterprise AI brokers evolve from dealing with easy buyer queries to executing advanced agentic fee workflows, the place AI is granted digital wallets to independently authorize transactions, organizations want a companion that goes past automated simulation. They want entry to people with actual, localized fee strategies to behave as a security internet, alongside consultants specializing in AI agent analysis. That’s precisely what Testlio offers.”
Codex for each function, instrument, and workflow
Codex is introducing plug-ins that allow non-developers to construct apps, create dashboards and briefs, and extra. Whereas Codex was created as a instrument for software program improvement, non-developers now make up about 20% of total Codex customers and are rising greater than 3x as quick as builders.
To satisfy these information roles the place individuals work. Codex right this moment introduced plug-ins that may adapt Codex to no matter your roles and instruments are, together with annotations for refining the AI outcomes.The corporate can also be previewing the flexibility to create shareable interactive web sites and apps.
OpenAI mentioned in its weblog announcement that the six new role-specific plugins that make Codex helpful for extra sorts of information work, requiring no coding, are:
- Every role-specific plugin(opens in a brand new window) bundles the related apps, abilities, directions, and workflows. Collectively, they embrace 62 in style apps and 110 abilities.
- The information analytics plugin(opens in a brand new window) helps analysts and enterprise groups reply questions with information. They’ll discover product and enterprise information, clarify why key metrics modified, and create reviews and dashboards utilizing instruments like Snowflake, Databricks Genie, Hex, and Tableau, with extra coming quickly.
- The inventive manufacturing plugin(opens in a brand new window) helps advertising and marketing and inventive groups flip a quick into property they’ll evaluation. Groups can create marketing campaign boards, make and refine show ad variations, and produce product way of life pictures or ecommerce-ready picture units with instruments like Figma, Canva, Shutterstock, Picsart, and Fal.
- The gross sales plugin(opens in a brand new window) helps gross sales groups deliver buyer context into the work that strikes offers ahead. Gross sales groups can discover high-priority accounts and indicators, put together for buyer conferences, full follow-ups, replace buyer information, construct shut plans, and evaluation offers in danger utilizing instruments like Salesforce, HubSpot, Slack, Outreach, Clay, Rox, and Actively.
- The product design plugin(opens in a brand new window) is constructed for turning early concepts into prototypes groups can evaluation. Groups can discover product instructions, audit consumer flows, prototype from a reside URL, and make static screenshots interactive, with work that may be carried ahead in instruments like Figma and Canva.
- The public fairness investing plugin(opens in a brand new window) helps traders make sense of market and firm data. They’ll evaluation earnings, examine firms, observe indicators, and assess whether or not an funding thesis is strengthening or weakening utilizing data from Moody’s, Daloopa, Datasite, FactSet, LSEG, S&P, PitchBook, and Hebbia.
- The funding banking plugin(opens in a brand new window) helps bankers flip analysis and diligence into client-ready supplies. They’ll put together pitch supplies, analyze comparable firms and transactions, and switch diligence into suggestions utilizing trusted information.
Neo4j Acquires GraphAware to Launch Intelligence Evaluation
Graph intelligence platform supplier Neo4j introduced it has an settlement to accumulate intelligence evaluation software program firm GraphAware, which Neo4j mentioned will launch next-generation graph expertise options powerd by AI and based mostly on open requirements.
The work, it mentioned, will function “a confirmed and trusted various to Palantir Gotham. Bringing GraphAware’s intelligence evaluation capabilities into Neo4j’s graph intelligence platform will give authorities businesses a strong, sovereign various for collaborative investigation and explainable determination intelligence throughout advanced, linked information. This can put clients accountable for their deployment, information, and exit path, not the distributors who construct the methods.
Advances in AI and rising geopolitical tensions have made sovereign options important. Organizations want the flexibility to personal, handle, and management their information in ways in which finest serve their wants, whether or not which means protecting it inside nationwide borders for compliance and safety or freely enabling safe entry to assist rising AI use instances and innovation.
The period of proprietary black-box options is over. Authorities businesses require the selection and management solely made attainable by an structure based mostly on an authorized open commonplace that’s modular by design and constructed to naturally combine with all enterprise AI platforms.
Emil Eifrem, Founder and CEO of Neo4j, mentioned, “For over a decade, governments have utilized intelligence evaluation software program from Palantir. Now they are going to have a reputable alternative with GraphAware Hume, powered by the Neo4j graph intelligence platform. We aren’t simply launching a brand new intelligence evaluation various to Palantir Gotham. We’re buying a confirmed answer that’s constructed on open-standards expertise, and already trusted by authorities businesses all through the world.”