Laserfiche has announced the release of AI agents that can help perform tasks through natural language prompts. Intelligent assistants follow Laserfiche\u2019s integrated security rules and compliance requirements, helping ensure all sensitive data remains protected.
\nKarl Chan, CEO of Laserfiche, said, \u201cThe 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.\u201d
\nLaserfiche\u2019s 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\u2019s 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\u2019s 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 \u201cthe \u2018where\u2019 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\u2019t have to spend time organising data, you will be able to simply act on it.\u201d
\nAvailable for users of Laserfiche Cloud from May 7, 2026, users can direct the company\u2019s AI agents to perform \u201cone-time actions from [\u2026] Smart Chat.\u201d Further updates will enhance the agent\u2019s 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.)
\n\u00a0<\/p>\n
Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is part of TechEx and co-located with other leading technology events. Click here for more information.
\nAI News is powered by TechForge Media. Explore other upcoming enterprise technology events and webinars here.
\nThe post Laserfiche unveils AI agents for natural language workflows appeared first on AI News.<\/p>\n","protected":false},"excerpt":{"rendered":"
Laserfiche has announced the release of AI agents that can help perform tasks through natural language prompts. Intelligent assistants follow Laserfiche\u2019s integrated security rules and compliance requirements, helping ensure all sensitive data remains protected. Karl Chan, CEO of Laserfiche, said, \u201cThe introduction of AI Agents to content management signals a change in how we handle [\u2026]<\/p>\n
The post Laserfiche unveils AI agents for natural language workflows<\/a> appeared first on AI News<\/a>.<\/p>\n<\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-container-style":"default","site-container-layout":"default","site-sidebar-layout":"default","disable-article-header":"default","disable-site-header":"default","disable-site-footer":"default","disable-content-area-spacing":"default","footnotes":""},"categories":[27,1,817,63,1144,57],"tags":[3],"class_list":["post-3024","post","type-post","status-publish","format-standard","hentry","category-agentic-ai","category-ai-and-ml","category-finance","category-hr","category-laserfiche","category-world-of-work","tag-ai"],"yoast_head":"\n