{"id":5091,"date":"2026-02-24T12:15:04","date_gmt":"2026-02-24T12:15:04","guid":{"rendered":"https:\/\/www.arivonix.ai\/techsupport\/docs\/workflow-designer-overview\/"},"modified":"2026-02-27T11:42:24","modified_gmt":"2026-02-27T11:42:24","password":"","slug":"workflow-designer-overview","status":"publish","type":"docs","link":"https:\/\/www.arivonix.ai\/documentation\/docs\/workflow-designer-overview\/","title":{"rendered":"Workflow Designer Overview"},"content":{"rendered":"<section class=\"documentation-content\">\n<h1>Workflow Designer<\/h1>\n<p>Create and manage end-to-end data workflows through a visual interface that enables structured data processing without extensive coding requirements.<\/p>\n<p><img decoding=\"async\" class=\"img-fluid img-screenshot\" src=\"\/documentation\/tech-image\/Tech\/Workflow_Designer_Overview\/image_6.88.png\/\" alt=\"Relevant visual\" \/><\/p>\n<h2>Overview<\/h2>\n<p>Workflow Designer provides a drag-and-drop interface for connecting data sources, applying transformations, and defining outputs. Users can organize workflows into three categories based on visibility and collaboration needs:<\/p>\n<ul>\n<li><strong>My Workflows<\/strong> &#8211; Personal workflows<\/li>\n<li><strong>Shared Workflows<\/strong> &#8211; Collaborative workflows<\/li>\n<li><strong>Public Workflows<\/strong> &#8211; Organization-wide workflows<\/li>\n<\/ul>\n<h2>Key Capabilities<\/h2>\n<p>Within Workflow Designer, users can:<\/p>\n<ul>\n<li>Create and edit workflows<\/li>\n<li>Track execution history<\/li>\n<li>Manage version control for updates<\/li>\n<li>Connect workflow components visually<\/li>\n<li>Configure data inputs and outputs<\/li>\n<li>Define transformation logic<\/li>\n<\/ul>\n<h3>Data Transformations<\/h3>\n<p>Available transformations include:<\/p>\n<ul>\n<li>Filtering data<\/li>\n<li>Sorting columns<\/li>\n<li>Merging fields<\/li>\n<li>Removing duplicates<\/li>\n<li>Splitting datasets etc.<\/li>\n<\/ul>\n<h3>Advanced Features<\/h3>\n<p>Workflow Designer supports integration with:<\/p>\n<ul>\n<li><strong>SQL<\/strong><\/li>\n<li><strong>PySpark<\/strong><\/li>\n<li>AI-powered logic components<\/li>\n<\/ul>\n<h2>Agent Arivon<\/h2>\n<p><strong>Agent Arivon <\/strong>functions as an AI-powered data colleague that can automatically generate workflow logic based on natural language prompts, accelerating pipeline creation by translating business requirements into structured workflow steps.<\/p>\n<h2>Workflow Management<\/h2>\n<p>Additional workflow management features include:<\/p>\n<ul>\n<li>Automated notifications<\/li>\n<li>Human approval workflows<\/li>\n<li>Governance controls<\/li>\n<li>Workflow scheduling<\/li>\n<li>Review and publication capabilities<\/li>\n<\/ul>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>Workflow Designer Create and manage end-to-end data workflows through a visual interface that enables structured data processing without extensive coding requirements. Overview Workflow Designer provides a drag-and-drop interface for connecting data sources, applying transformations, and defining outputs. Users can organize workflows into three categories based on visibility and collaboration needs: My Workflows &#8211; Personal workflows [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"doc_category":[178],"doc_tag":[],"class_list":["post-5091","docs","type-docs","status-publish","hentry","doc_category-workflow-designer"],"year_month":"2026-04","word_count":176,"total_views":0,"reactions":{"happy":0,"normal":0,"sad":0},"author_info":{"name":"Hari","author_nicename":"hari","author_url":""},"doc_category_info":[{"term_name":"Workflow Designer","term_url":"https:\/\/www.arivonix.ai\/documentation\/docs-category\/workflow-designer\/"}],"doc_tag_info":[],"_links":{"self":[{"href":"https:\/\/www.arivonix.ai\/documentation\/wp-json\/wp\/v2\/docs\/5091","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.arivonix.ai\/documentation\/wp-json\/wp\/v2\/docs"}],"about":[{"href":"https:\/\/www.arivonix.ai\/documentation\/wp-json\/wp\/v2\/types\/docs"}],"author":[{"embeddable":true,"href":"https:\/\/www.arivonix.ai\/documentation\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.arivonix.ai\/documentation\/wp-json\/wp\/v2\/comments?post=5091"}],"version-history":[{"count":1,"href":"https:\/\/www.arivonix.ai\/documentation\/wp-json\/wp\/v2\/docs\/5091\/revisions"}],"predecessor-version":[{"id":5280,"href":"https:\/\/www.arivonix.ai\/documentation\/wp-json\/wp\/v2\/docs\/5091\/revisions\/5280"}],"wp:attachment":[{"href":"https:\/\/www.arivonix.ai\/documentation\/wp-json\/wp\/v2\/media?parent=5091"}],"wp:term":[{"taxonomy":"doc_category","embeddable":true,"href":"https:\/\/www.arivonix.ai\/documentation\/wp-json\/wp\/v2\/doc_category?post=5091"},{"taxonomy":"doc_tag","embeddable":true,"href":"https:\/\/www.arivonix.ai\/documentation\/wp-json\/wp\/v2\/doc_tag?post=5091"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}