{"id":36338,"date":"2025-06-25T17:39:05","date_gmt":"2025-06-25T15:39:05","guid":{"rendered":"https:\/\/mailcommsgroup.com\/?p=36338"},"modified":"2026-08-24T09:14:06","modified_gmt":"2026-08-24T07:14:06","slug":"artificial-artificial-intelligence-generated-trust-or-distrust","status":"publish","type":"post","link":"https:\/\/mailcommsgroup.com\/en\/blog\/artificial-artificial-intelligence-generated-trust-or-distrust\/","title":{"rendered":"Agentive artificial intelligence: does it engender trust or distrust?"},"content":{"rendered":"

[vc_row type=”grid” css=”.vc_custom_1547557263471{margin-bottom: 0px !important;padding-bottom: 0px !important;}”][vc_column dp_animation=”” el_class=”El nuevo reglamento europeo obliga a recabar el consentimiento expl\u00edcito para el tratamiento de los datos de car\u00e1cter personal” font_color=”#81d742″][vc_single_image image=”36357″ img_size=”full” css=””][\/vc_column][\/vc_row][vc_row type=”grid” css=”.vc_custom_1679050935288{margin-top: 0px !important;padding-top: 0px !important;}”][vc_column dp_animation=”” css=”.vc_custom_1547557427896{padding-top: 0px !important;}”][vc_empty_space height=”80px” css=”.vc_custom_1761666522200{margin-top: -70px !important;}”][vc_column_text css=”.vc_custom_1787555223251{padding-top: 50px !important;padding-right: 50px !important;padding-bottom: 50px !important;padding-left: 50px !important;background-color: #F2F2F2 !important;}” dp_animation=””]Table of Contents <\/strong><\/span><\/p>\n

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  1. What is Agentive AI?<\/a><\/li>\n
  2. Relevant Use Cases<\/a><\/li>\n
  3. Trust or Distrust?<\/a><\/li>\n
  4. Factors that generate distrust<\/a><\/li>\n
  5. Factors that reinforce trust<\/a><\/li>\n
  6. Salesforce: Trusted AI for a sustainable future<\/a><\/li>\n
  7. A double layer of trust for intelligent agents<\/a><\/li>\n
  8. Why is this double layer important?<\/a><\/li>\n
  9. Beyond communication: certified processes from start to finish<\/a><\/li>\n
  10. Conclusion<\/a><\/li>\n
  11. Frequently Asked Questions<\/a><\/li>\n<\/ol>\n

    [\/vc_column_text][vc_empty_space height=”110px” css=”.vc_custom_1761666519464{margin-top: -100px !important;}”][vc_column_text css=”” dp_animation=””]In recent years, artificial intelligence (AI) has ceased to be a futuristic concept and has become a key tool in the daily lives of companies and consumers. In this context, AI agents<\/strong> – also known as agentive AI –<\/strong>are positioned as one of the most interesting developments: systems capable of making decisions, learning from their environment and acting autonomously to meet specific objectives. <\/p>\n

    But with their growing prominence comes an essential question: do these agents generate trust or distrust among users?<\/strong> And what can companies do to ensure that the relationship between people and technology is based on transparency, security and real value?[\/vc_column_text][vc_empty_space height=”110px” css=”.vc_custom_1761666526496{margin-top: -100px !important;}” el_id=”uno”][vc_column_text css=”.vc_custom_1750861807340{padding-top: 15px !important;padding-right: 15px !important;padding-bottom: 15px !important;padding-left: 15px !important;background-color: #47d7ac !important;}” dp_animation=””]<\/p>\n

    What is Agentive AI?<\/strong><\/span><\/h2>\n

    [\/vc_column_text][vc_column_text css=”” dp_animation=””]Agentive AI refers to intelligent systems designed not only to respond to specific tasks, but to act proactively, autonomously and continuously<\/strong> according to defined objectives. These agents can perceive their environment, reason, make decisions and execute actions without constant human intervention. <\/p>\n

    Unlike traditional AI systems, which tend to be reactive, AI agents function more like active virtual assistants, able to anticipate needs, learn from experience and adapt to new contexts<\/strong>.[\/vc_column_text][vc_column_text css=”” dp_animation=””]<\/p>\n\n\n\n\n\n\n\n\n\n\n
    Dimension<\/th>\nReactive\/Traditional AI<\/th>\nAgentive AI<\/th>\n<\/tr>\n<\/thead>\n
    Mode of Operation<\/strong><\/td>\nResponds to specific inputs when queried<\/td>\nActs proactively and continuously toward a defined goal<\/td>\n<\/tr>\n
    Autonomy<\/strong><\/td>\nLow; requires human instruction for each task<\/td>\nHigh; perceives the environment, reasons, and acts without constant intervention<\/td>\n<\/tr>\n
    Learning<\/strong><\/td>\nOffline training; does not learn from real-time operation<\/td>\nIt can learn from each interaction and adapt to new contexts<\/td>\n<\/tr>\n
    Examples<\/strong><\/td>\nFAQ chatbot, recommendation engine, email classifier<\/td>\nAutonomous customer service agent, proactive sales assistant, onboarding agent<\/td>\n<\/tr>\n
    Use Cases in Banking\/Insurance<\/strong><\/td>\nCredit scoring, fraud detection<\/td>\nSelf-service onboarding, proactive renewals, end-to-end claims management<\/td>\n<\/tr>\n
    Regulatory Risk<\/strong><\/td>\nModerate, limited decisions<\/td>\nHigher; requires legal traceability for each independent action<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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    Relevant Use Cases<\/strong><\/span><\/h2>\n

    [\/vc_column_text][vc_column_text css=”” dp_animation=””]<\/p>\n

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    1. Personalized customer care<\/strong>
      \nAI agents can manage conversations across multiple channels, resolve queries, escalate complex cases and learn from each interaction to deliver an increasingly relevant experience.<\/li>\n
    2. Business process automation<\/strong>
      \nFrom automatic mail sorting to reporting to inventory management, autonomous agents can make decisions that optimize operational efficiency.<\/li>\n
    3. Smart Sales and Marketing<\/strong>
      \nUsing predictive analytics, agents can suggest the best time to contact a customer, personalize offers, or identify conversion opportunities. They can also help large companies tailor direct marketing campaigns<\/a> to achieve the best results. <\/li>\n
    4. Internal support in organizations<\/strong>
      \nAI agents can assist employees in administrative tasks, offer technical support or help in the onboarding process of new team members.<\/li>\n
    5. 24 x7 availability which increases the operational resilience of organizations.<\/strong><\/li>\n<\/ol>\n

      [\/vc_column_text][vc_empty_space height=”110px” css=”.vc_custom_1761666533080{margin-top: -100px !important;}” el_id=”tres”][vc_column_text css=”.vc_custom_1750861977772{padding-top: 15px !important;padding-right: 15px !important;padding-bottom: 15px !important;padding-left: 15px !important;background-color: #47d7ac !important;}” dp_animation=””]<\/p>\n

      Trust or Distrust?<\/strong><\/span><\/h2>\n

      [\/vc_column_text][vc_column_text css=”” dp_animation=””]Despite their usefulness, AI agents also raise legitimate concerns:<\/p>\n