{"id":3819,"date":"2025-05-15T03:02:54","date_gmt":"2025-05-15T03:02:54","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/05\/15\/ai-agents-with-customisable-human-ai-interaction-for-transparent-decisions-1517229154\/"},"modified":"2025-05-15T03:02:54","modified_gmt":"2025-05-15T03:02:54","slug":"ai-agents-with-customisable-human-ai-interaction-for-transparent-decisions-1517229154","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/05\/15\/ai-agents-with-customisable-human-ai-interaction-for-transparent-decisions-1517229154\/","title":{"rendered":"AI agents with customisable human\u200d-\u200dAI interaction for transparent decisions"},"content":{"rendered":"\n
AI agents with customisable human\u200d-\u200dAI interaction for transparent decisions<\/div>\n

\t

\n
<\/BR>
\n
\n \t

\n
<\/BR><\/p>\n

\n <\/p>\n

Imagine a future where AI systems render decisions and take action with little to no human intervention. With the rapid advance of AI agents<\/a>, that future is nearly here. That\u2019s why SAS is building the agentic AI future on its bedrock of responsible innovation. SAS\u00ae Intelligent Decisioning<\/a> \u2013 available on data and AI platform SAS Viya\u00ae \u2013 empowers organisations to design, deploy and scale AI agents with balanced human and AI autonomy, embedded governance and explainability of decisions.<\/p>\n

\u201cSAS’ approach to agentic AI strikes the critical balance between autonomous decision-making and ethical governance,\u201d said Nick Patience, Vice President and Practice Lead, Artificial Intelligence Software and Tools at The Futurum Group. \u201cIts intelligent agents represent not just technological advancement but a pragmatic framework for responsible enterprise AI adoption \u2013 precisely what organisations need as they navigate this rapidly evolving landscape to gain a competitive advantage.\u201d<\/p>\n

AI agents get decision-making support with ethical calibration<\/h4>\n

True enterprise value from agentic AI comes from building collaborative, intelligence-amplifying systems that work with humans. SAS Viya\u2019s agentic AI framework is underpinned by three pillars that define how AI agents are designed and delivered:<\/p>\n

    \n
  1. \nDecision-making:<\/strong> Applying a hybrid approach that combines the rigor of powerful deterministic analytics with the flexibility and reasoning of large language models (LLMs) enables customers to build AI agents that deliver precise and reliable outcomes, with the necessary business guardrails and rules required in regulated industries.<\/li>\n
  2. \nHuman and AI balance:<\/strong> SAS enables organisations to determine the appropriate level of AI autonomy and human involvement for AI agents based on task complexity, risk, and business goals. AI agents can operate fully autonomously in routine, data-driven tasks while humans provide oversight, ethical judgment, and strategic direction.<\/li>\n
  3. \nGovernance:<\/strong> SAS\u2019 built-in governance framework enables customers to build AI agents that not only deliver accurate outcomes but also adhere to ethical standards, maintain data privacy, align with business values and stand up to regulatory scrutiny.<\/li>\n<\/ol>\n

    \u201cAs organisations evolve toward open, interoperable AI ecosystems across multi-cloud and hybrid environments, trust and explainability in AI governance are emerging as key differentiators among tech vendors,\u201d said Tiffany McCormick, Research Director, Digital Business Models and Monetisation at IDC. \u201cSAS is taking industry-leading steps to address the growing demand for agentic AI, with a clear commitment to ethical rigor and differentiated execution in AI decisioning.\u201d<\/p>\n

    The future of agentic AI, powered by SAS Viya<\/h4>\n

    SAS Viya supports organisations through every stage of the agentic AI journey, from data ingestion and analysis to building, deploying and monitoring AI agents. It enables continuous performance tracking, governance and security, offering a comprehensive and streamlined approach to managing AI agents throughout their lifecycle. And SAS brings decades of trusted governance to the table, embedding auditability, bias detection and compliance into every agent.<\/p>\n

    SAS\u2019 future agentic AI roadmap includes infusing co-pilot productivity assistants into SAS Viya to help users work faster, smarter and with fewer manual steps, while staying grounded in enterprise logic. Leaning into its deep industry expertise, SAS also plans to deliver pre-packaged, domain-specific intelligent agents that will integrate seamlessly into industry workflows (eg. data engineering tasks, optimising supply chains), helping organisations accelerate time-to-value without sacrificing control or confidence.<\/p>\n

    \u201cSAS Viya builds agents that don\u2019t just act \u2013 they decide with purpose, guided by analytics, business rules and adaptability and grounded by decades of SAS\u2019 trusted governance,\u201d said Marinela Profi, Global AI Market Strategy Lead at SAS. \u201cSAS\u2019 unified, governed, decision-first framework turns AI agents from a science experiment to a business differentiator.\u201d<\/p>\n

    Learn more about AI agents with SAS at: https:\/\/www.sas.com\/en_us\/solutions\/ai\/agentic-ai.html<\/a>.<\/p>\n

    Image credit: iStock.com\/Just_Super<\/h9><\/p>\n<\/div>\n

    \t

    \n
    <\/BR><\/p>\n

    \t

    \n
    <\/BR>
    \n    Go to Technology Decisions<\/a>
    \n \t

    \n
    <\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"

    AI agents with customisable human\u200d-\u200dAI interaction for transparent decisions Imagine a future where AI systems render decisions and take action with little to no human intervention. With the rapid advance of AI agents, that future is nearly here. That\u2019s why SAS is building the agentic AI future on its bedrock of responsible innovation. SAS\u00ae Intelligent […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[44],"tags":[48],"class_list":["post-3819","post","type-post","status-publish","format-standard","hentry","category-technology-decisions","tag-technology-decisions"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/3819"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=3819"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/3819\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=3819"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=3819"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=3819"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}