{"success":true,"data":{"pressRelease":{"id":"166900","rtpr_id":"nPNAGjTyja-20261013","ticker":"DXC","exchange":"NYSE","all_tickers":["DXC"],"title":"DXC and LangChain Advance Agentic AI Harnesses for Mission-Critical IT Operations","author":"PR Newswire","published_at":"2026-10-13T04:01:00.434Z","article_body":"DXC and LangChain Advance Agentic AI Harnesses for Mission-Critical IT\nOperations\nPR Newswire\n\nASHBURN, Va., Oct. 13, 2026\n* Partnership brings together DXC's decades of experience operating\nmission-critical enterprise systems with LangChain's technology for safely and\nsecurely managing AI agent harnesses\n* DXC OASIS, built on LangChain's open-source LangGraph runtime, is scaling\ntoward 125 customer environments across regulated industries and multiple\ngeographies\n* Across 500 measured use cases, OASIS has reduced resolution time by 95% on\naverage, with diagnostic accuracy of 92% or better\nASHBURN, Va., Oct. 13, 2026 /PRNewswire/ -- DXC Technology (NYSE: DXC), a\nleading enterprise technology and innovation partner, today announced a\npartnership with LangChain, the company behind the open-source LangGraph agent\nframework and LangSmith agent engineering platform, to advance governed\nagentic AI across mission-critical enterprise IT environments.\n\n\nThe partnership builds on DXC's use of LangGraph within DXC OASIS, its\nintelligent orchestration platform and operating model for mission-critical IT\noperations. DXC is also licensing LangSmith to support the development,\nevaluation, and observability of OASIS agents. OASIS is already in production\nand scaling toward 125 customer environments across regulated industries and\nmultiple geographies. Together, these capabilities help DXC build,\norchestrate, evaluate, and continuously improve AI agents while applying the\nenterprise context, governance, human oversight, and continuous assurance\nrequired for critical technology environments.\n\nBringing Agentic AI Into Mission-Critical Operations\n\nThrough the partnership, DXC is using LangGraph and LangSmith to advance how\nOASIS agents are built, orchestrated, evaluated, and continuously improved.\nLangGraph provides the open-source framework for agent orchestration,\nincluding capabilities such as delegation, state management, and\nhuman-in-the-loop workflows, while LangSmith provides tooling for agent\ndevelopment, evaluation, and observability.\n\nOASIS integrates these capabilities to enterprise IT operations, enabling\nagents to respond to operational events, investigate issues in parallel, draw\non specialized capabilities across technology domains, and bring people into\nthe process when judgment or approval is required. This allows human experts\nto focus on higher-value decisions while agents provide the capacity and speed\nto address operational issues at scale. Across specific production use cases,\nfilesystem incidents that previously took 53-90 minutes can be resolved in 3-6\nminutes, while database performance incidents have moved from 2-3 hours to\n5-12 minutes. Complex problem management that previously required 2-6 days has\nbeen reduced to 8-10 minutes.\n\n\"Agentic AI has the potential to fundamentally change how enterprises operate\ntheir most critical technology, but models alone are not enough,\" said Dan\nGray, President, Global Infrastructure Services, DXC Technology. \"Across more\nthan 500 measured use cases, OASIS has reduced resolution time by 95% on\naverage, with diagnostic accuracy of 92% or better when validated against\nsenior engineer judgment. Through our work with LangChain, we're bringing\ntogether advanced agent technology, operational expertise, and governance to\nput AI agents to work safely at enterprise scale.\"\n\nScaling Agentic AI with Governance and Human Oversight\n\nA core focus of the partnership is helping enterprises expand the use of AI\nagents while maintaining appropriate governance and human oversight. Using\nLangChain technology, OASIS now enables agents to operate within defined\nauthority while maintaining the controls required for mission-critical\nenvironments. Actions are assessed based on factors including reversibility,\nimpact, verifiability, and an agent's track record. Sensitive actions can be\npaused for human approval before execution, while agent decisions, tool calls,\nand outcomes are traced to provide visibility into how agents operate.\n\nOASIS also grounds agents in the specific enterprise environments in which\nthey operate. Agents can draw from system-specific and customer-specific\ninformation, DXC operational expertise, and vendor documentation, helping them\nreason using the context and requirements of each customer environment rather\nthan relying solely on general model knowledge. By combining this enterprise\ncontext with defined governance policies and human oversight, OASIS enables\norganizations to expand the role of AI agents in production while maintaining\naccountability and control.\n\n\"Agents are transforming the application layer for every business, and the\nenterprises pulling ahead are taking ownership of their agent stack,\" said\nJulia Schottenstein, Chief Operating Officer, LangChain. \"That means adapting\nthe harness to their business, grounding agents in proprietary context, and\nbuilding the governance and continuous improvement loops that make agents\nreliable in production. We're proud to bring that model into mission-critical\nenterprise operations through our partnership with DXC.\"\n\nAn Open Approach to Enterprise Agentic AI\n\nThe partnership also supports an open approach to agentic AI designed to give\nenterprises flexibility and control as AI technologies evolve. OASIS is model\nagnostic and supports interoperability with third-party and customer-owned\nsystems, enabling organizations to select different models for different\nworkloads based on requirements including quality, cost, latency, and privacy.\nOASIS is also designed to continuously improve as it operates, using insights\nfrom agent executions to improve performance and incorporate lessons from\nindividual scenarios into the broader system over time.\n\nDeployments can span public cloud, private cloud, dedicated, and sovereign\nenvironments without requiring a redesign of the underlying architecture.\nCustomers retain control of their data, workflows, and the operational\ncapabilities they build on top of the platform, while preserving flexibility\nacross models, infrastructure, and deployment environments.\n\nDXC and LangChain detail their approach in a new technical white paper, DXC\nOASIS: The Harness for Mission-Critical IT Operations, which explores how\norganizations can operationalize AI agents while maintaining governance,\naccountability, and human oversight across mission-critical environments. \n\nAbout DXC Technology\n\nDXC Technology (NYSE: DXC) is a leading enterprise technology and innovation\npartner delivering software, services, and solutions to global enterprises and\npublic sector organizations — helping them harness AI to drive outcomes at a\ntime of exponential change with speed. With deep expertise in Managed\nInfrastructure Services, Application Modernization, and Industry-Specific\nSoftware Solutions, DXC modernizes, secures, and operates some of the world's\nmost complex technology estates. Learn more on dxc.com.\n\nSOURCE DXC Technology Company\n\n\n\nPhoto: \nhttps://mmx.prnewswire.com/media/MS2011779/DXC-Technology-Company-DXC-and-LangChain-Advance-Agentic-AI-Harn.jpg?id=OA3014752\n\nCopyright (c) 2026 PR Newswire Association,LLC. All Rights Reserved.","article_body_html":"","raw_payload":{"data":{"id":"nPNAGjTyja-20261013","title":"DXC and LangChain Advance Agentic AI Harnesses for Mission-Critical IT Operations","author":"PR Newswire","ticker":"DXC","created":"2026-10-13T04:01:00.434Z","tickers":["DXC"],"exchange":"NYSE","article_body":"DXC and LangChain Advance Agentic AI Harnesses for Mission-Critical IT\nOperations\nPR Newswire\n\nASHBURN, Va., Oct. 13, 2026\n* Partnership brings together DXC's decades of experience operating\nmission-critical enterprise systems with LangChain's technology for safely and\nsecurely managing AI agent harnesses\n* DXC OASIS, built on LangChain's open-source LangGraph runtime, is scaling\ntoward 125 customer environments across regulated industries and multiple\ngeographies\n* Across 500 measured use cases, OASIS has reduced resolution time by 95% on\naverage, with diagnostic accuracy of 92% or better\nASHBURN, Va., Oct. 13, 2026 /PRNewswire/ -- DXC Technology (NYSE: DXC), a\nleading enterprise technology and innovation partner, today announced a\npartnership with LangChain, the company behind the open-source LangGraph agent\nframework and LangSmith agent engineering platform, to advance governed\nagentic AI across mission-critical enterprise IT environments.\n\n\nThe partnership builds on DXC's use of LangGraph within DXC OASIS, its\nintelligent orchestration platform and operating model for mission-critical IT\noperations. DXC is also licensing LangSmith to support the development,\nevaluation, and observability of OASIS agents. OASIS is already in production\nand scaling toward 125 customer environments across regulated industries and\nmultiple geographies. Together, these capabilities help DXC build,\norchestrate, evaluate, and continuously improve AI agents while applying the\nenterprise context, governance, human oversight, and continuous assurance\nrequired for critical technology environments.\n\nBringing Agentic AI Into Mission-Critical Operations\n\nThrough the partnership, DXC is using LangGraph and LangSmith to advance how\nOASIS agents are built, orchestrated, evaluated, and continuously improved.\nLangGraph provides the open-source framework for agent orchestration,\nincluding capabilities such as delegation, state management, and\nhuman-in-the-loop workflows, while LangSmith provides tooling for agent\ndevelopment, evaluation, and observability.\n\nOASIS integrates these capabilities to enterprise IT operations, enabling\nagents to respond to operational events, investigate issues in parallel, draw\non specialized capabilities across technology domains, and bring people into\nthe process when judgment or approval is required. This allows human experts\nto focus on higher-value decisions while agents provide the capacity and speed\nto address operational issues at scale. Across specific production use cases,\nfilesystem incidents that previously took 53-90 minutes can be resolved in 3-6\nminutes, while database performance incidents have moved from 2-3 hours to\n5-12 minutes. Complex problem management that previously required 2-6 days has\nbeen reduced to 8-10 minutes.\n\n\"Agentic AI has the potential to fundamentally change how enterprises operate\ntheir most critical technology, but models alone are not enough,\" said Dan\nGray, President, Global Infrastructure Services, DXC Technology. \"Across more\nthan 500 measured use cases, OASIS has reduced resolution time by 95% on\naverage, with diagnostic accuracy of 92% or better when validated against\nsenior engineer judgment. Through our work with LangChain, we're bringing\ntogether advanced agent technology, operational expertise, and governance to\nput AI agents to work safely at enterprise scale.\"\n\nScaling Agentic AI with Governance and Human Oversight\n\nA core focus of the partnership is helping enterprises expand the use of AI\nagents while maintaining appropriate governance and human oversight. Using\nLangChain technology, OASIS now enables agents to operate within defined\nauthority while maintaining the controls required for mission-critical\nenvironments. Actions are assessed based on factors including reversibility,\nimpact, verifiability, and an agent's track record. Sensitive actions can be\npaused for human approval before execution, while agent decisions, tool calls,\nand outcomes are traced to provide visibility into how agents operate.\n\nOASIS also grounds agents in the specific enterprise environments in which\nthey operate. Agents can draw from system-specific and customer-specific\ninformation, DXC operational expertise, and vendor documentation, helping them\nreason using the context and requirements of each customer environment rather\nthan relying solely on general model knowledge. By combining this enterprise\ncontext with defined governance policies and human oversight, OASIS enables\norganizations to expand the role of AI agents in production while maintaining\naccountability and control.\n\n\"Agents are transforming the application layer for every business, and the\nenterprises pulling ahead are taking ownership of their agent stack,\" said\nJulia Schottenstein, Chief Operating Officer, LangChain. \"That means adapting\nthe harness to their business, grounding agents in proprietary context, and\nbuilding the governance and continuous improvement loops that make agents\nreliable in production. We're proud to bring that model into mission-critical\nenterprise operations through our partnership with DXC.\"\n\nAn Open Approach to Enterprise Agentic AI\n\nThe partnership also supports an open approach to agentic AI designed to give\nenterprises flexibility and control as AI technologies evolve. OASIS is model\nagnostic and supports interoperability with third-party and customer-owned\nsystems, enabling organizations to select different models for different\nworkloads based on requirements including quality, cost, latency, and privacy.\nOASIS is also designed to continuously improve as it operates, using insights\nfrom agent executions to improve performance and incorporate lessons from\nindividual scenarios into the broader system over time.\n\nDeployments can span public cloud, private cloud, dedicated, and sovereign\nenvironments without requiring a redesign of the underlying architecture.\nCustomers retain control of their data, workflows, and the operational\ncapabilities they build on top of the platform, while preserving flexibility\nacross models, infrastructure, and deployment environments.\n\nDXC and LangChain detail their approach in a new technical white paper, DXC\nOASIS: The Harness for Mission-Critical IT Operations, which explores how\norganizations can operationalize AI agents while maintaining governance,\naccountability, and human oversight across mission-critical environments. \n\nAbout DXC Technology\n\nDXC Technology (NYSE: DXC) is a leading enterprise technology and innovation\npartner delivering software, services, and solutions to global enterprises and\npublic sector organizations — helping them harness AI to drive outcomes at a\ntime of exponential change with speed. With deep expertise in Managed\nInfrastructure Services, Application Modernization, and Industry-Specific\nSoftware Solutions, DXC modernizes, secures, and operates some of the world's\nmost complex technology estates. Learn more on dxc.com.\n\nSOURCE DXC Technology Company\n\n\n\nPhoto: \nhttps://mmx.prnewswire.com/media/MS2011779/DXC-Technology-Company-DXC-and-LangChain-Advance-Agentic-AI-Harn.jpg?id=OA3014752\n\nCopyright (c) 2026 PR Newswire Association,LLC. All Rights Reserved."},"type":"article","timestamp":"2026-10-13T04:01:00.48345365Z","server_sent_at_ms":1791864060483},"received_at":"2026-10-13T04:01:00.534Z","source_url":null},"analysis":null,"durationMs":null,"modelName":null}}