{"id":19322,"date":"2026-07-08T14:34:05","date_gmt":"2026-07-08T12:34:05","guid":{"rendered":"https:\/\/spheriq.ch\/blog\/artificial-intelligence-productive-and-without-compromise\/"},"modified":"2026-07-10T08:43:26","modified_gmt":"2026-07-10T06:43:26","slug":"artificial-intelligence-productive-and-without-compromise","status":"publish","type":"post","link":"https:\/\/spheriq.ch\/blog\/en\/artificial-intelligence-productive-and-without-compromise\/","title":{"rendered":"Artificial Intelligence \u2013 Productive and Without Compromise"},"content":{"rendered":"\n<p class=\"is-style-lead wp-block-paragraph\">Artificial intelligence promises enormous productivity gains, but it also raises many questions about data protection and responsible use. In the right setting, both can be achieved. In this article\u2014and explored in greater depth in the \u201cAI Workshop\u201d\u2014you\u2019ll learn how to use AI safely and effectively with minimal effort.  <\/p>\n\n<p class=\"wp-block-paragraph\">Artificial intelligence (AI) has transformed the day-to-day work of many organizations in a short period of time. Texts are produced more quickly, analyses can be automated, and ideas are generated at the push of a button. What sounded like science fiction just a short time ago is now part of everyday life. With minimal effort and the necessary basic knowledge, an organization can set up a secure AI system that effectively supports its day-to-day operations (see box below: \u201cAI Workshop\u201d).     <\/p>\n\n<p class=\"wp-block-paragraph\">Along with this new productivity comes a new sense of uncertainty. What actually happens to the data we enter into AI systems? Who stores it? And could our content potentially be used to train third-party models?     <\/p>\n<div role=\"navigation\" aria-labelledby=\"sht-toc-title-1\" class=\"sht-toc wp-block-custom-table-of-contents\">\n\t<div class=\"sht-toc__title sht-toc__title--rich\" id=\"sht-toc-title-1\" role=\"heading\" aria-level=\"2\">\n\t\tInhaltsverzeichnis\t<\/div>\n\t\t<ol class=\"sht-toc__list\">\n\t\t\t\t<li class=\"sht-toc__item\">\n\t\t\t<a class=\"sht-toc__link\" href=\"#the-dilemma-safety-or-efficiency\">The Dilemma: Safety or Efficiency?<\/a>\n\t\t<\/li>\n\t\t\t\t\t<li class=\"sht-toc__item\">\n\t\t\t<a class=\"sht-toc__link\" href=\"#peakprivacy-data-sovereignty-is-a-priority\">PeakPrivacy: Data Sovereignty Is a Priority<\/a>\n\t\t<\/li>\n\t\t\t\t\t<li class=\"sht-toc__item\">\n\t\t\t<a class=\"sht-toc__link\" href=\"#what-ai-can-really-do-and-what-it-cant\">What AI Can Really Do\u2014and What It Can&#039;t<\/a>\n\t\t<\/li>\n\t\t\t\t\t<li class=\"sht-toc__item\">\n\t\t\t<a class=\"sht-toc__link\" href=\"#context-is-what-makes-the-tool-powerful\">Context is what makes the tool powerful<\/a>\n\t\t<\/li>\n\t\t\t\t\t<li class=\"sht-toc__item\">\n\t\t\t<a class=\"sht-toc__link\" href=\"#audit-proof-rather-than-selective\">Audit-proof rather than selective<\/a>\n\t\t<\/li>\n\t\t\t\t\t<li class=\"sht-toc__item\">\n\t\t\t<a class=\"sht-toc__link\" href=\"#setting-up-ai-for-everyday-life\">Setting Up AI for Everyday Life<\/a>\n\t\t<\/li>\n\t\t\t\t\t<li class=\"sht-toc__item sht-toc__item--level-3\">\n\t\t\t<a class=\"sht-toc__link\" href=\"#online-workshop-ai-workshop\">Online Workshop: AI Workshop<\/a>\n\t\t<\/li>\n\t\t\t\t<\/ol>\n\t<\/div>\n\n<h2 id=\"the-dilemma-safety-or-efficiency\"  class=\"wp-block-heading\"><strong>The Dilemma: Safety or Efficiency?  <\/strong> <\/h2>\n\n<p class=\"wp-block-paragraph\">The issue of security is particularly crucial for nonprofits and funding organizations. This is because they often work with sensitive information: project dossiers, funding decisions, strategies, or personal data. The challenge, therefore, is not just to use AI\u2014but to use it responsibly and securely.    <\/p>\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/spheriq.ch\/blog\/en\/data-protection-and-sovereign-ai-infrastructure\/\">Data protection is crucial.<\/a>  Many of the popular AI tools are based on cloud infrastructures provided by U.S. companies. Often, it is not clear what happens to the data that is entered. It is not only the handling of personal data\u2014as regulated by data protection laws\u2014that is sensitive. Almost as critical is the handling of trade secrets and internal strategies, or of intellectual property such as concepts or texts\u2014especially when the latter originate from third parties.     <\/p>\n\n<p class=\"wp-block-paragraph\">It\u2019s an open secret that organizations\u2014especially those that don\u2019t have answers to these questions or that respond by banning all use of AI\u2014are making a huge mistake. If the use of AI tools is prohibited, employees will simply turn to the free versions of ChatGPT and similar services. And it is precisely the free versions that offer absolutely no data protection. On the contrary: here, users \u201cpay\u201d with their data.    <\/p>\n\n<h2 id=\"peakprivacy-data-sovereignty-is-a-priority\"  class=\"wp-block-heading\"><strong>PeakPrivacy: Data Sovereignty Is a Priority<\/strong> <\/h2>\n\n<p class=\"wp-block-paragraph\">This is a problem for organizations that handle sensitive data.  <\/p>\n\n<p class=\"wp-block-paragraph\">The responsible use of artificial intelligence was therefore also the focus of the <a href=\"https:\/\/spheriq.ch\/blog\/en\/artificial-intelligence-new-rules-of-the-game-for-philanthropy-a-learning-journey\/\" target=\"_blank\" rel=\"noreferrer noopener\">\u201cAI Learning Journey,\u201d<\/a> conducted in collaboration with SwissFoundations, which Spheriq launched in late 2023. It became clear that what matters is not only what AI can do, but also the conditions under which it is used. As a result of this learning journey, a framework for the responsible use of AI was developed: PeakPrivacy.    <\/p>\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/peakprivacy.ch\/\">PeakPrivacy<\/a> focuses on organizations\u2019 data sovereignty and combines conceptual guidelines with a technical solution. The underlying AI models are run on the organization\u2019s own servers, ensuring that sensitive data never leaves the organization\u2019s infrastructure. Three principles are central to this approach:    <\/p>\n\n<ul class=\"wp-block-list\">\n<li>First, the AI runs on our own infrastructure.  <\/li>\n<\/ul>\n\n<ul class=\"wp-block-list\">\n<li>Second, no data is shared with external platform providers.  <\/li>\n<\/ul>\n\n<ul class=\"wp-block-list\">\n<li>Third, users&#8217; prompts and content are not used to train the models.  <\/li>\n<\/ul>\n\n<p class=\"wp-block-paragraph\">This makes it possible, for the first time, to consistently combine productivity and data protection.  <\/p>\n\n<h2 id=\"what-ai-can-really-do-and-what-it-cant\"  class=\"wp-block-heading\"><strong>What AI Can Really Do\u2014and What It Can&#8217;t<\/strong> <\/h2>\n\n<p class=\"wp-block-paragraph\">To use AI effectively, it helps to start with a realistic understanding of its capabilities. Essentially, artificial intelligence refers to a machine\u2019s ability to perform tasks that normally require human thinking\u2014such as writing texts, summarizing information, or recognizing patterns.   <\/p>\n\n<p class=\"wp-block-paragraph\">So-called Large Language Models (LLMs)\u2014the core of today&#8217;s AI\u2014are particularly effective at tasks such as generating text, summarizing content, answering questions, classifying or translating text, and formulating suggestions, ideas, or recommendations.  <\/p>\n\n<p class=\"wp-block-paragraph\">At the same time, these systems have clear limitations. For example, they can internalize biases from training data. It is not uncommon for complex relationships to be misinterpreted\u2014but presented with such superficial clarity and conviction that the underlying error is not easily detected. In other words: information is presented convincingly, even though it is incorrect. Another general weakness is stability: results are difficult to reproduce. But if the recommendation turns out differently every time the process is repeated, trust in the technology quickly\u2014and rightly\u2014wanes.       <\/p>\n\n<h2 id=\"context-is-what-makes-the-tool-powerful\"  class=\"wp-block-heading\"><strong>Context is what makes the tool powerful<\/strong> <\/h2>\n\n<p class=\"wp-block-paragraph\">That is why AI is less an automated form of intelligence and more a potentially powerful tool. Philosopher and AI expert Luciano Floridi goes so far as to reinterpret the acronym AI as \u201cAgency, not Intelligence.\u201d Here, the \u201cA\u201d stands for a broad capacity for digital agency. This shifts the emphasis significantly: Artificial Intelligence is a tool that provides support but should not make responsible decisions on its own.     <\/p>\n\n<p class=\"wp-block-paragraph\">Since the conclusion of the AI learning journey, Spheriq has not been idle either. Based on the principles developed, <strong>Spheriq AI<\/strong> has since <a href=\"https:\/\/spheriq.ch\/blog\/en\/spheriq-ai-reliable-ai-for-fundraising-and-promotion\/\">emerged as a new dimension of AI support in the nonprofit sector<\/a>. The idea behind it is simple: AI is particularly effective when it not only draws on general knowledge about the world but <strong>can also work with a specific dataset<\/strong>.    <\/p>\n\n<p class=\"wp-block-paragraph\">Spheriq AI therefore combines two elements: first, <strong>a powerful AI model architecture, and second, Spheriq\u2019s specific knowledge base. With <\/strong> <a href=\"https:\/\/spheriq.ch\/blog\/en\/why-spheriq-ai-is-built-as-a-pipeline\/\">agent-based tooling<\/a>, various AI components can work together\u2014much like a team of specialized assistants. Spheriq\u2019s specific knowledge base and core guiding concepts\u2014such as <a href=\"https:\/\/spheriq.ch\/blog\/en\/fit-hope-badges-and-promotion-logic-the-key-to-ai\/\">\u201cFit,\u201d \u201cHope,\u201d and \u201cSupport Logic\u201d<\/a> \u2014create the ideal context.   <\/p>\n\n<p class=\"wp-block-paragraph\">This combination opens up new possibilities. For example, AI assistants for grant applications help review proposals. Intelligent research in the foundation sector quickly and accurately reveals where an application is worth pursuing and where it is not. Spheriq AI also provides fast and reliable support for portfolio analysis or due diligence when evaluating potential partnerships. And the range of possibilities is far from limited to these examples.      <\/p>\n\n<h2 id=\"audit-proof-rather-than-selective\"  class=\"wp-block-heading\"><strong>Audit-proof rather than selective<\/strong> <\/h2>\n\n<p class=\"wp-block-paragraph\">This means that Spheriq AI\u2019s use is also in line with the legal requirements for responsible AI use by grant-making foundations. In <a href=\"https:\/\/www.linkedin.com\/posts\/thomas-sprecher_k%C3%BCnstliche-intelligenz-betrifft-selbstverst%C3%A4ndlich-share-7461400756215164928-Oj80\/\">a recent essay on<\/a> the use of AI by foundations, Thomas Sprecher states that AI must be used for specific purposes, in a controlled manner, and with clear human accountability. AI processes relevant to decision-making must remain documented, traceable, and verifiable.    <\/p>\n\n<p class=\"wp-block-paragraph\">This applies in particular to the preliminary review of applications. The spokesperson explicitly identifies this as a key area of application in grant management. Responsibility for the funding decision remains with the relevant bodies, but artificial intelligence may be used to structure, summarize, and prepare the basis for decisions\u2014provided that this use of AI is documented and remains verifiable.    <\/p>\n\n<p class=\"wp-block-paragraph\">It is not feasible to ensure this level of auditability if inputs and outputs for general AI subscriptions such as ChatGPT must be recorded manually. Rather, what is required is an automatic, comprehensive record of AI usage: data sources used, prompts, outputs, and intermediate steps relevant to decision-making must be systematically documented. This is precisely where a key difference lies between occasional AI use and an audit-proof AI infrastructure suitable for grant-making foundations, such as Spheriq AI.    <\/p>\n\n<h2 id=\"setting-up-ai-for-everyday-life\"  class=\"wp-block-heading\"><strong>Setting Up AI for Everyday Life<\/strong> <\/h2>\n\n<p class=\"wp-block-paragraph\">With Spheriq AI, nonprofit organizations now have access to a secure AI environment that leaves nothing to be desired in terms of data sovereignty, security, and documentation. The direct connection to the nonprofit sector\u2019s specific database ensures reliable and accurate results.   <\/p>\n\n<p class=\"wp-block-paragraph\">However, Spheriq AI only becomes truly effective once the system is tailored to an organization\u2019s specific context\u2014through predefined funding logic and a complete, transparent organizational profile. After all, not every AI application automatically adds value.   <\/p>\n\n<p class=\"wp-block-paragraph\">Artificial intelligence is no longer just a buzzword\u2014it\u2019s a reality. The challenge isn\u2019t to use as much AI as possible. Rather, it\u2019s about using it wisely, safely, and in a targeted manner.    <\/p>\n<div class=\"cta-box wp-block-custom-cta-box\">\r\n\t<div class=\"cta-box__inner\">\r\n\t\t\n\n<h3 id=\"online-workshop-ai-workshop\"  class=\"wp-block-heading has-black-color has-text-color has-link-color wp-elements-e519fd74e110afe98219c3eeb914ece9\"><strong>Online Workshop: AI Workshop<\/strong> <\/h3>\n\n\n\n<p class=\"has-black-color has-text-color has-link-color wp-elements-a27c31b7afe43af1ec4f1d8aa81658b9 wp-block-paragraph\">Many organizations are experimenting with artificial intelligence\u2014but it often remains unclear where its actual benefits lie. In the AI Workshop, you\u2019ll develop a solid understanding of the strengths and limitations of AI and learn how to use these new tools safely and effectively.   <\/p>\n\n\n\n<p class=\"has-black-color has-text-color has-link-color wp-elements-09f26a415831bd7d4248a6b25b0e7916 wp-block-paragraph\">Using concrete case studies, you\u2019ll identify applications that create real added value in your organization. The workshop is hands-on: You\u2019ll develop the necessary usage context, test your own prompts, and lay the foundation for your own AI setup that effectively supports you in your day-to-day work. At the same time, you\u2019ll strengthen your decision-making skills and take away proven use cases that you can share directly within your organization.    <\/p>\n\n\n\n<p class=\"has-black-color has-text-color has-link-color wp-elements-160be9ae3a71fd6227bf5949b19ad49f wp-block-paragraph\">The AI Workshop is aimed equally at newcomers to the field and at experts who have already gained experience and developed prompts\u2014and are therefore already aware of the risks associated with using AI.  <\/p>\n\n\n\n<p class=\"has-black-color has-text-color has-link-color wp-elements-8c1d32985d3c3bd90b675cdb1dbf50de wp-block-paragraph\">Duration: 3 hours, 9 a.m.\u201312 p.m. <br\/>Format: Online via Zoom  <\/p>\n\n\n\n<p class=\"has-black-color has-text-color has-link-color wp-elements-02822fecdd54ced55fb52fdc35bf1fef wp-block-paragraph\"><a href=\"https:\/\/app.spheriq.ch\/workshops?tags=ki\">For dates and registration.  <\/a> <\/p>\n\n\t<\/div>\r\n<\/div>\r\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"Artificial intelligence promises enormous productivity gains, but it also raises many questions about data protection and responsible use. In the right setting, both can be achieved. In this article\u2014and explored in greater depth in the \u201cAI Workshop\u201d\u2014you\u2019ll learn how to use AI safely and effectively with minimal effort. Artificial intelligence (AI) has transformed the day-to-day&#8230;","protected":false},"author":41,"featured_media":19280,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"image","meta":{"_acf_changed":false,"footnotes":""},"categories":[1211,1138,1111],"tags":[],"post_label":[],"class_list":["post-19322","post","type-post","status-publish","format-image","has-post-thumbnail","hentry","category-artificial-intelligence","category-spheriq-en","category-spheriq-ai-en-2","post_format-post-format-image"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Artificial Intelligence \u2013 Productive and Without Compromise - Spheriq-Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/spheriq.ch\/blog\/en\/artificial-intelligence-productive-and-without-compromise\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Artificial Intelligence \u2013 Productive and Without Compromise - Spheriq-Blog\" \/>\n<meta property=\"og:description\" content=\"Artificial intelligence promises enormous productivity gains, but it also raises many questions about data protection and responsible use. In the right setting, both can be achieved. In this article\u2014and explored in greater depth in the \u201cAI Workshop\u201d\u2014you\u2019ll learn how to use AI safely and effectively with minimal effort. Artificial intelligence (AI) has transformed the day-to-day...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/spheriq.ch\/blog\/en\/artificial-intelligence-productive-and-without-compromise\/\" \/>\n<meta property=\"og:site_name\" content=\"Spheriq-Blog\" \/>\n<meta property=\"article:published_time\" content=\"2026-07-08T12:34:05+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-07-10T06:43:26+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/spheriq.ch\/blog\/wp-content\/uploads\/2026\/07\/KI-Werkstatt-Bildvorschlag-2.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1254\" \/>\n\t<meta property=\"og:image:height\" content=\"1254\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Stefan Sch\u00f6bi\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Stefan Sch\u00f6bi\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"7 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/spheriq.ch\/blog\/en\/artificial-intelligence-productive-and-without-compromise\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/spheriq.ch\/blog\/en\/artificial-intelligence-productive-and-without-compromise\/\"},\"author\":{\"name\":\"Stefan Sch\u00f6bi\",\"@id\":\"https:\/\/spheriq.ch\/blog\/en\/#\/schema\/person\/62b049ecdf798241ab7ff2d50b7a8bae\"},\"headline\":\"Artificial Intelligence \u2013 Productive and Without Compromise\",\"datePublished\":\"2026-07-08T12:34:05+00:00\",\"dateModified\":\"2026-07-10T06:43:26+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/spheriq.ch\/blog\/en\/artificial-intelligence-productive-and-without-compromise\/\"},\"wordCount\":1475,\"commentCount\":0,\"image\":{\"@id\":\"https:\/\/spheriq.ch\/blog\/en\/artificial-intelligence-productive-and-without-compromise\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/spheriq.ch\/blog\/wp-content\/uploads\/2026\/07\/KI-Werkstatt-Bildvorschlag-2.png\",\"articleSection\":[\"Artificial Intelligence\",\"Spheriq\",\"Spheriq AI\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/spheriq.ch\/blog\/en\/artificial-intelligence-productive-and-without-compromise\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/spheriq.ch\/blog\/en\/artificial-intelligence-productive-and-without-compromise\/\",\"url\":\"https:\/\/spheriq.ch\/blog\/en\/artificial-intelligence-productive-and-without-compromise\/\",\"name\":\"Artificial Intelligence \u2013 Productive and Without Compromise - 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November 2022 CEO von Spheriq. Zuvor hat er den 2012 gegr\u00fcndeten Migros-Pionierfonds aufgebaut und geleitet und zuletzt das gesamte nationale gesellschaftliche Engagement der Migros-Gruppe verantwortet. Von 2008 bis 2012 war er Marketing-Chef der Z\u00fcrcher Hochschule der K\u00fcnste. Sch\u00f6bi hat in Z\u00fcrich, Berlin und Wien Literatur studiert und zur Z\u00fcrcher Wirtschaftsgeschichte promoviert. Er besitzt ein MBA in Marketing und Zertifikate der INSEAD und der Universit\u00e4t Stanford.\",\"url\":\"https:\/\/spheriq.ch\/blog\/en\/author\/stefan-schoebi\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Artificial Intelligence \u2013 Productive and Without Compromise - Spheriq-Blog","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/spheriq.ch\/blog\/en\/artificial-intelligence-productive-and-without-compromise\/","og_locale":"en_US","og_type":"article","og_title":"Artificial Intelligence \u2013 Productive and Without Compromise - Spheriq-Blog","og_description":"Artificial intelligence promises enormous productivity gains, but it also raises many questions about data protection and responsible use. In the right setting, both can be achieved. In this article\u2014and explored in greater depth in the \u201cAI Workshop\u201d\u2014you\u2019ll learn how to use AI safely and effectively with minimal effort. 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