{"id":86562,"date":"2026-05-13T14:55:02","date_gmt":"2026-05-13T21:55:02","guid":{"rendered":"https:\/\/www.jamasoftware.com\/?post_type=resource-page&#038;p=86562"},"modified":"2026-05-15T09:00:04","modified_gmt":"2026-05-15T16:00:04","slug":"ai-assisted-software-workflow-playbook","status":"publish","type":"resource-page","link":"https:\/\/www.jamasoftware.com\/legacy\/whitepaper\/ai-assisted-software-workflow-playbook\/","title":{"rendered":"AI-Assisted Software Workflow Playbook"},"content":{"rendered":"<div id='av_section_1'  class='avia-section av-1xk07xh-bbbec7a78c99a3bc73edbd2023502169 main_color avia-section-default avia-no-border-styling  avia-builder-el-0  avia-builder-el-no-sibling  avia-bg-style-scroll container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><main  class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-86562'><div class='entry-content-wrapper clearfix'>\n<div class='flex_column_table av-1izwc3p-0dd97e9e1f6b6e68ec68b331b5ba7c20 sc-av_two_fifth av-equal-height-column-flextable'><div  class='flex_column av-1izwc3p-0dd97e9e1f6b6e68ec68b331b5ba7c20 av_two_fifth  avia-builder-el-1  el_before_av_three_fifth  avia-builder-el-first  first flex_column_table_cell av-equal-height-column av-align-middle  '     ><\/div><div class='av-flex-placeholder'><\/div><div  class='flex_column av-1dfyz5x-54808b3f45749ff6a22951230de9ef19 av_three_fifth  avia-builder-el-3  el_after_av_two_fifth  el_before_av_hr  flex_column_table_cell av-equal-height-column av-align-middle  '     ><p><br \/>\n<\/p><\/div><\/div><!--close column table wrapper. Autoclose: 1 -->\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ljz2oc54-f4c32aef36da49fd259c264837168768\">\n#top .hr.hr-invisible.av-ljz2oc54-f4c32aef36da49fd259c264837168768{\nheight:30px;\n}\n<\/style>\n<div  class='hr av-ljz2oc54-f4c32aef36da49fd259c264837168768 hr-invisible  avia-builder-el-6  el_after_av_three_fifth  el_before_av_one_full '><span class='hr-inner '><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<div  class='flex_column av-wga891-b5f28f812c6cab24bcc18bf3ef4b1f27 av_one_full  avia-builder-el-7  el_after_av_hr  avia-builder-el-last  first flex_column_div  '     ><section  class='av_textblock_section av-ljz0yqe6-4e9d14322421778c88a0b363f0043402 '  ><div class='avia_textblock' ><p>We work with over a thousand software development organizations transitioning to AI-Driven Development in regulated, multidisciplinary product industries. Our focus on the multidisciplinary product context layer from requirements through release provides a unique vantage point for best practices in AI adoption. The fundamental patterns we see are:<\/p>\n<ul>\n<li>AI product velocity gains are real | Companies must adopt AI-Driven Development to stay competitive.<\/li>\n<li>Software leads | Software teams are leading the way in AI adoption at regulated multidisciplinary product companies, and their success patterns are likely to be leveraged across engineering disciplines.<\/li>\n<li>Coding is no longer the bottleneck | The speed of AI coding agents has shifted the constraints upstream (requirements, context engineering) and downstream (testing, integration, compliance)<\/li>\n<li>Phased adoption | The most successful teams make specific choices of how much process reconfiguration and retooling they undertake in a given timeframe.<\/li>\n<\/ul>\n<p>To support our customers, we have developed an AI Adoption Maturity Model and playbooks for each level of adoption leveraging Jama Connect. Jama Connect supports all upstream (requirements, context engineering) and downstream (integration, testing, compliance) activities from AI coding agents.<\/p>\n<\/div><\/section><\/div><\/div><\/div><\/main><!-- close content main element --><\/div><\/div><div id='after_section_1'  class='main_color av_default_container_wrap container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-86562'><div class='entry-content-wrapper clearfix'>\n<input class=\"fooboxshare_post_id\" type=\"hidden\" value=\"86562\"\/>","protected":false},"excerpt":{"rendered":"","protected":false},"author":141,"featured_media":86565,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"resource_type":[887],"resource_industry":[1097,898,910,899,1045,1098,905,904,900,901,1102,902,903],"primary_topic":[1151,926,915],"primary_challenge":[936,930,937],"competitors":[],"partners":[],"secondary_topic":[],"secondary_challenge":[],"class_list":["post-86562","resource-page","type-resource-page","status-publish","has-post-thumbnail","hentry","resource_type-whitepaper","resource_industry-aeco","resource_industry-aerospace-defense","resource_industry-all-industries","resource_industry-automotive","resource_industry-consumer-technologies","resource_industry-energy","resource_industry-financial-services-insurance","resource_industry-government","resource_industry-industrial","resource_industry-medical-devices-life-science","resource_industry-oil-gas","resource_industry-semiconductor","resource_industry-software-development","primary_topic-artificial-intelligence","primary_topic-jama-connect-platform","primary_topic-requirements-management","primary_challenge-lack-of-traceability","primary_challenge-legacy-solution","primary_challenge-process-inefficiencies"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.1 (Yoast SEO v28.1) - 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