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Laserfiche has announced the release of AI agents that can help perform tasks through natural language prompts. Intelligent assistants follow Laserfiche’s integrated security rules and compliance requirements, helping ensure all sensitive data remains protected. Karl Chan, CEO of Laserfiche, said, “The introduction of AI Agents to content management signals a change in how we handle […]
\nThe post Laserfiche unveils AI agents for natural language workflows appeared first on AI News.
", "content_html": "Laserfiche has announced the release of AI agents that can help perform tasks through natural language prompts. Intelligent assistants follow Laserfiche’s integrated security rules and compliance requirements, helping ensure all sensitive data remains protected.
\nKarl Chan, CEO of Laserfiche, said, “The introduction of AI Agents to content management signals a change in how we handle the information lifecycle. We are moving beyond manual processes by offloading mundane work to agents that operate in a governance framework. We are letting organisations modernise operations while keeping compliance at the forefront.”
\nLaserfiche’s AI agents use generative LLM reasoning models that perform actions, potentially cutting time resource spend by handling the middle ground between the design of automated workflows and manual tasks. Through document data analysis, the agents can operate tasks and make changes based on natural language user instructions.
\nLaserfiche agents are accessed via Smart Chat, a chat interface, with what agents are able to perform limited to the user’s permissions and restrictions. This ensures teams and users of different technical levels can use the tools to automate their work more safely.
\nThrough a blend of intelligent agents and AI-driven content analysis, organisations can identify specific information in documents, letting them take steps in departments such as legal, accounts payable, and HR.
\nIn legal circles, Laserfiche AI agents can spot inconsistencies in documents and contracts before routing them for human review. Accounts Payable can use the agents to find late invoices and direct them to the necessary teams to be resolved. In HR, the AI system can scan employee records (age, gender, address, for example) and identify details that will move certain documents to the correct digital folders, based on the user’s security level.
\nLaserfiche AI agents have been designed to filter content from repositories and make context-aware action, helping users search for and organise information. Justin Pava, Laserfiche chief product evangelist, spoke on the future of document storage, saying “the ‘where’ of document storage is not going to be as important as it used to be. With automatically-extracted metadata, AI-assisted search and the autonomous abilities of Laserfiche AI agents, you won’t have to spend time organising data, you will be able to simply act on it.”
\nAvailable for users of Laserfiche Cloud from May 7, 2026, users can direct the company’s AI agents to perform “one-time actions from […] Smart Chat.” Further updates will enhance the agent’s abilities, like embedding them into business processes, letting agents run in the background, and monitor systems for certain conditions.
\n(Image source: Pixabay, under licence.)
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\nThe post Laserfiche unveils AI agents for natural language workflows appeared first on AI News.
", "content_text": "Laserfiche has announced the release of AI agents that can help perform tasks through natural language prompts. Intelligent assistants follow Laserfiche’s integrated security rules and compliance requirements, helping ensure all sensitive data remains protected.\nKarl Chan, CEO of Laserfiche, said, “The introduction of AI Agents to content management signals a change in how we handle the information lifecycle. We are moving beyond manual processes by offloading mundane work to agents that operate in a governance framework. We are letting organisations modernise operations while keeping compliance at the forefront.”\nLaserfiche’s AI agents use generative LLM reasoning models that perform actions, potentially cutting time resource spend by handling the middle ground between the design of automated workflows and manual tasks. Through document data analysis, the agents can operate tasks and make changes based on natural language user instructions.\nLaserfiche AI agents abilities\nLaserfiche agents are accessed via Smart Chat, a chat interface, with what agents are able to perform limited to the user’s permissions and restrictions. This ensures teams and users of different technical levels can use the tools to automate their work more safely.\nThrough a blend of intelligent agents and AI-driven content analysis, organisations can identify specific information in documents, letting them take steps in departments such as legal, accounts payable, and HR.\nIn legal circles, Laserfiche AI agents can spot inconsistencies in documents and contracts before routing them for human review. Accounts Payable can use the agents to find late invoices and direct them to the necessary teams to be resolved. In HR, the AI system can scan employee records (age, gender, address, for example) and identify details that will move certain documents to the correct digital folders, based on the user’s security level.\nAgents in industry\nLaserfiche AI agents have been designed to filter content from repositories and make context-aware action, helping users search for and organise information. Justin Pava, Laserfiche chief product evangelist, spoke on the future of document storage, saying “the ‘where’ of document storage is not going to be as important as it used to be. With automatically-extracted metadata, AI-assisted search and the autonomous abilities of Laserfiche AI agents, you won’t have to spend time organising data, you will be able to simply act on it.”\nAvailable for users of Laserfiche Cloud from May 7, 2026, users can direct the company’s AI agents to perform “one-time actions from […] Smart Chat.” Further updates will enhance the agent’s abilities, like embedding them into business processes, letting agents run in the background, and monitor systems for certain conditions.\n(Image source: Pixabay, under\nlicence\n.)\nWant to learn more about AI and big data from industry leaders?\nCheck out\nAI & Big Data Expo\ntaking place in Amsterdam, California, and London. The comprehensive event is part of\nTechEx\nand co-located with other leading technology events. Click\nhere\nfor more information.\nAI News is powered by\nTechForge Media\n. Explore other upcoming enterprise technology events and webinars\nhere\n.\nThe post\nLaserfiche unveils AI agents for natural language workflows\nappeared first on\nAI News\n.", "image": { "url": "https://virtues.guru/tech-assets/85_Open_Source_Graphic.png", "file": "85_Open_Source_Graphic.png", "title": "File:Open Source Graphic.png" }, "language": "en", "translations": { "pt": { "title": "Laserfiche apresenta agentes de IA para fluxos de trabalho baseados em linguagem natural", "content_text": "A Laserfiche lançou agentes de IA que podem realizar tarefas através de comandos em linguagem natural. Os agentes seguem regras de segurança e requisitos de conformidade para proteger dados sensíveis. Eles utilizam modelos de raciocínio de LLM generativos para realizar ações, economizando tempo e recursos. Os agentes podem ser acessados através do Smart Chat e podem filtrar conteúdo, identificar informações específicas e realizar ações com base no contexto. Podem ser utilizados em departamentos como jurídico, contas a pagar e RH.", "summary_en": "Laserfiche has released AI agents that can perform tasks through natural language prompts. The agents follow security rules and compliance requirements to protect sensitive data. They use generative LLM reasoning models to perform actions, cutting time and resource spend. The agents can be accessed via Smart Chat and can filter content, identify specific information, and make context-aware actions. They can be used in departments such as legal, accounts payable, and HR.", "translated_at": "2026-05-13T06:23:25.878895+00:00", "model": "translategemma:4b", "summary_model": "llama3.1:8b", "source": "json_summary" } } }