{"id":2576,"date":"2026-06-01T10:34:00","date_gmt":"2026-06-01T10:34:00","guid":{"rendered":"https:\/\/www.finoffice.com\/?page_id=2576"},"modified":"2026-06-02T12:41:45","modified_gmt":"2026-06-02T12:41:45","slug":"a-word-on-ai","status":"publish","type":"page","link":"https:\/\/www.finoffice.com\/index.php\/a-word-on-ai\/","title":{"rendered":"A Word on AI"},"content":{"rendered":"<div data-colibri-id=\"2576-c1\" class=\"style-887 style-local-2576-c1 position-relative\">\n  <!---->\n  <div data-colibri-component=\"section\" data-colibri-id=\"2576-c2\" id=\"custom\" class=\"h-section h-section-global-spacing d-flex align-items-lg-center align-items-md-center align-items-center style-888 style-local-2576-c2 position-relative\">\n    <!---->\n    <!---->\n    <div class=\"h-section-grid-container h-section-boxed-container\">\n      <!---->\n      <div data-colibri-id=\"2576-c3\" class=\"h-row-container gutters-row-lg-2 gutters-row-md-2 gutters-row-0 gutters-row-v-lg-2 gutters-row-v-md-2 gutters-row-v-2 style-889 style-local-2576-c3 position-relative\">\n        <!---->\n        <div class=\"h-row justify-content-lg-center justify-content-md-center justify-content-center align-items-lg-stretch align-items-md-stretch align-items-stretch gutters-col-lg-2 gutters-col-md-2 gutters-col-0 gutters-col-v-lg-2 gutters-col-v-md-2 gutters-col-v-2\">\n          <!---->\n          <div class=\"h-column h-column-container d-flex h-col-lg-auto h-col-md-auto h-col-auto style-890-outer style-local-2576-c4-outer\">\n            <div data-colibri-id=\"2576-c4\" class=\"d-flex h-flex-basis h-column__inner h-px-lg-2 h-px-md-2 h-px-2 v-inner-lg-2 v-inner-md-2 v-inner-2 style-890 style-local-2576-c4 position-relative\">\n              <!---->\n              <!---->\n              <div class=\"w-100 h-y-container h-column__content h-column__v-align flex-basis-100 align-self-lg-start align-self-md-start align-self-start\">\n                <!---->\n                <div data-colibri-id=\"2576-c5\" class=\"h-text h-text-component style-891 style-local-2576-c5 position-relative h-element\">\n                  <!---->\n                  <!---->\n                  <div class=\"\">\n                    <h2>AI Positioning &amp; Implementation Framework&nbsp;BST \/ FinOffice<\/h2>\n                    <h4><span style=\"font-weight: 600;\">1. Context and Objectives<\/span><\/h4>\n                    <p>The rapid advancement of artificial intelligence is transforming how software is developed, operated, and used\u2014particularly in data-intensive domains such as market data management.<\/p>\n                    <p>This document outlines BST\u2019s positioning, guiding principles, and concrete measures for the use of AI.<\/p>\n                    <h4>2. BST\u2019s Core Position on AI<\/h4>\n                    <h5>2.1 AI as a Productivity Enabler<\/h5>\n                    <p>BST views artificial intelligence primarily as a tool to enhance productivity\u2014not as a replacement for expertise.<\/p>\n                    <ul>\n                      <li>AI supports employees in analysis, processing, and decision-making<\/li>\n                      <li>Domain expertise and professional judgment remain essential<\/li>\n                      <li>Outputs generated by AI systems are critically reviewed<\/li>\n                      <li>The objective is an \u201caugmented workforce,\u201d not an automated black box<\/li>\n                    <\/ul>\n                    <h5>2.2 Protecting Expertise and Quality<\/h5>\n                    <p>Uncontrolled use of AI carries the risk of gradually eroding professional expertise.<\/p>\n                    <p>BST addresses this risk proactively:<\/p>\n                    <ul>\n                      <li>AI is deployed in a controlled and purpose-driven manner<\/li>\n                      <li>Employees are trained to interpret and validate AI-generated results<\/li>\n                      <li>Critical processes remain subject to expert validation<\/li>\n                    <\/ul>\n                    <p>This approach ensures both quality assurance and sustained customer trust.<\/p>\n                    <h4>3. Data Strategy as a Differentiator<\/h4>\n                    <p>A key differentiating factor of BST is its consistent approach to data storage and processing within Switzerland.<\/p>\n                    <h4>3.1 Core Principles<\/h4>\n                    <ul>\n                      <li>No transfer of sensitive data outside Switzerland<\/li>\n                      <li>No use of customer data for external model training<\/li>\n                      <li>Processing within controlled Swiss infrastructure<\/li>\n                    <\/ul>\n                    <h4>3.2 Implications for AI<\/h4>\n                    <p>These principles directly shape BST\u2019s AI strategy:<\/p>\n                    <ul>\n                      <li>Preference for locally deployable or controllable models<\/li>\n                      <li>Careful trade-off between innovation speed and data sovereignty<\/li>\n                      <li>Deliberate avoidance of certain hyperscaler-based approaches<\/li>\n                    <\/ul>\n                    <p>Comment:\n                      <br>This may reduce short-term speed but strengthens long-term trust, compliance, and differentiation.<\/p>\n                    <h4>4. Internal AI Use Cases<\/h4>\n                    <p>BST clearly distinguishes between internal efficiency gains and customer-facing features.<\/p>\n                    <h4>4.1 Support and Knowledge Management<\/h4>\n                    <ul>\n                      <li>AI-powered chatbot for first- and second-level support<\/li>\n                      <li>Context-aware assistance within FinOffice<\/li>\n                      <li>Automated structuring and analysis of support cases<\/li>\n                    <\/ul>\n                    <p>Objective: Scale high-quality support from a high-cost location.<\/p>\n                    <h4>4.2 Training and Enablement<\/h4>\n                    <ul>\n                      <li>Automated generation of training materials<\/li>\n                      <li>Creation of interactive training content (e.g., video formats)<\/li>\n                      <li>Personalized learning paths for users<\/li>\n                    <\/ul>\n                    <h4>4.3 Software Development<\/h4>\n                    <ul>\n                      <li>Use of AI to accelerate development processes<\/li>\n                      <li>Support for testing, code generation, and documentation<\/li>\n                      <li>Economical delivery of customer-specific customizations<\/li>\n                    <\/ul>\n                    <p>Key point:\n                      <br>Customizations become economically viable even at smaller volumes.<\/p>\n                    <h4>4.4 Marketing and Communication<\/h4>\n                    <ul>\n                      <li>Efficient creation of expert content (whitepapers, posts, documentation)<\/li>\n                      <li>Target audience-specific content adaptation<\/li>\n                      <li>Support for translation and internationalization<\/li>\n                    <\/ul>\n                    <h4>5. AI-Based Product Features (FinOffice Roadmap)<\/h4>\n                    <h4>5.1 AI-Supported Invoice Processing<\/h4>\n                    <ul>\n                      <li>Automated extraction and classification of invoice data<\/li>\n                      <li>Assistance with account assignment and validation<\/li>\n                      <li>Reduction of manual effort while maintaining control<\/li>\n                    <\/ul>\n                    <h4>5.2 AI-Based Contract Data Extraction<\/h4>\n                    <ul>\n                      <li>Extraction of structured information from contracts<\/li>\n                      <li>Support for contract analysis<\/li>\n                    <\/ul>\n                    <p>Limitations:<\/p>\n                    <ul>\n                      <li>High validation requirements<\/li>\n                      <li>Limited efficiency gains in current scenarios<\/li>\n                      <li>Significant risk in case of misinterpretation<\/li>\n                    <\/ul>\n                    <p>Interpretation:\n                      <br>This feature remains exploratory and will only be pursued under clearly defined conditions.<\/p>\n                    <h4>5.3 Additional Potential Features<\/h4>\n                    <ul>\n                      <li>Anomaly detection in market data (quality assurance)<\/li>\n                      <li>Intelligent data classification and mapping<\/li>\n                      <li>Forecasting models for data volume and usage<\/li>\n                    <\/ul>\n                    <h4>Conclusion<\/h4>\n                    <p>BST follows a deliberately differentiated approach to AI:<\/p>\n                    <ul>\n                      <li>Focus on productivity rather than substitution<\/li>\n                      <li>Strong prioritization of data sovereignty and quality<\/li>\n                      <li>Selective, economically driven implementation<\/li>\n                    <\/ul>\n                    <p>This positions BST not as a short-term technology frontrunner, but as a sustainable and trustworthy provider in the field of market data management.<\/p>\n                    <p>\n                      <br>\n                    <\/p>\n                  <\/div>\n                <\/div>\n              <\/div>\n            <\/div>\n          <\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>AI Positioning &amp; Implementation Framework&nbsp;BST \/ FinOffice 1. Context and Objectives The rapid advancement of artificial intelligence is transforming how software is developed, operated, and used\u2014particularly in data-intensive domains such as market data management. This document outlines BST\u2019s positioning, guiding principles, and concrete measures for the use of AI. 2. BST\u2019s Core Position on AI [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/full-width-page.php","meta":{"footnotes":""},"class_list":["post-2576","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>A Word on AI - FinOffice | Market Data Inventory<\/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:\/\/www.finoffice.com\/index.php\/a-word-on-ai\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A Word on AI - FinOffice | Market Data Inventory\" \/>\n<meta property=\"og:description\" content=\"AI Positioning &amp; Implementation Framework&nbsp;BST \/ FinOffice 1. Context and Objectives The rapid advancement of artificial intelligence is transforming how software is developed, operated, and used\u2014particularly in data-intensive domains such as market data management. This document outlines BST\u2019s positioning, guiding principles, and concrete measures for the use of AI. 2. BST\u2019s Core Position on AI [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.finoffice.com\/index.php\/a-word-on-ai\/\" \/>\n<meta property=\"og:site_name\" content=\"FinOffice | Market Data Inventory\" \/>\n<meta property=\"article:modified_time\" content=\"2026-06-02T12:41:45+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.finoffice.com\/index.php\/a-word-on-ai\/\",\"url\":\"https:\/\/www.finoffice.com\/index.php\/a-word-on-ai\/\",\"name\":\"A Word on AI - FinOffice | Market Data Inventory\",\"isPartOf\":{\"@id\":\"https:\/\/www.finoffice.com\/#website\"},\"datePublished\":\"2026-06-01T10:34:00+00:00\",\"dateModified\":\"2026-06-02T12:41:45+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.finoffice.com\/index.php\/a-word-on-ai\/#breadcrumb\"},\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.finoffice.com\/index.php\/a-word-on-ai\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.finoffice.com\/index.php\/a-word-on-ai\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.finoffice.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"A Word on AI\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.finoffice.com\/#website\",\"url\":\"https:\/\/www.finoffice.com\/\",\"name\":\"FinOffice | Market Data Inventory\",\"description\":\"Swiss Made\",\"publisher\":{\"@id\":\"https:\/\/www.finoffice.com\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.finoffice.com\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-GB\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.finoffice.com\/#organization\",\"name\":\"FinOffice | Market Data Inventory\",\"url\":\"https:\/\/www.finoffice.com\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/www.finoffice.com\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.finoffice.com\/wp-content\/uploads\/2024\/01\/cropped-Original-on-Transparent.png\",\"contentUrl\":\"https:\/\/www.finoffice.com\/wp-content\/uploads\/2024\/01\/cropped-Original-on-Transparent.png\",\"width\":5000,\"height\":613,\"caption\":\"FinOffice | Market Data Inventory\"},\"image\":{\"@id\":\"https:\/\/www.finoffice.com\/#\/schema\/logo\/image\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"A Word on AI - FinOffice | Market Data Inventory","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:\/\/www.finoffice.com\/index.php\/a-word-on-ai\/","og_locale":"en_GB","og_type":"article","og_title":"A Word on AI - FinOffice | Market Data Inventory","og_description":"AI Positioning &amp; Implementation Framework&nbsp;BST \/ FinOffice 1. Context and Objectives The rapid advancement of artificial intelligence is transforming how software is developed, operated, and used\u2014particularly in data-intensive domains such as market data management. This document outlines BST\u2019s positioning, guiding principles, and concrete measures for the use of AI. 2. BST\u2019s Core Position on AI [&hellip;]","og_url":"https:\/\/www.finoffice.com\/index.php\/a-word-on-ai\/","og_site_name":"FinOffice | Market Data Inventory","article_modified_time":"2026-06-02T12:41:45+00:00","twitter_card":"summary_large_image","schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.finoffice.com\/index.php\/a-word-on-ai\/","url":"https:\/\/www.finoffice.com\/index.php\/a-word-on-ai\/","name":"A Word on AI - FinOffice | Market Data Inventory","isPartOf":{"@id":"https:\/\/www.finoffice.com\/#website"},"datePublished":"2026-06-01T10:34:00+00:00","dateModified":"2026-06-02T12:41:45+00:00","breadcrumb":{"@id":"https:\/\/www.finoffice.com\/index.php\/a-word-on-ai\/#breadcrumb"},"inLanguage":"en-GB","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.finoffice.com\/index.php\/a-word-on-ai\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.finoffice.com\/index.php\/a-word-on-ai\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.finoffice.com\/"},{"@type":"ListItem","position":2,"name":"A Word on AI"}]},{"@type":"WebSite","@id":"https:\/\/www.finoffice.com\/#website","url":"https:\/\/www.finoffice.com\/","name":"FinOffice | Market Data Inventory","description":"Swiss Made","publisher":{"@id":"https:\/\/www.finoffice.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.finoffice.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-GB"},{"@type":"Organization","@id":"https:\/\/www.finoffice.com\/#organization","name":"FinOffice | Market Data Inventory","url":"https:\/\/www.finoffice.com\/","logo":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/www.finoffice.com\/#\/schema\/logo\/image\/","url":"https:\/\/www.finoffice.com\/wp-content\/uploads\/2024\/01\/cropped-Original-on-Transparent.png","contentUrl":"https:\/\/www.finoffice.com\/wp-content\/uploads\/2024\/01\/cropped-Original-on-Transparent.png","width":5000,"height":613,"caption":"FinOffice | Market Data Inventory"},"image":{"@id":"https:\/\/www.finoffice.com\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/www.finoffice.com\/index.php\/wp-json\/wp\/v2\/pages\/2576","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.finoffice.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.finoffice.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.finoffice.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.finoffice.com\/index.php\/wp-json\/wp\/v2\/comments?post=2576"}],"version-history":[{"count":4,"href":"https:\/\/www.finoffice.com\/index.php\/wp-json\/wp\/v2\/pages\/2576\/revisions"}],"predecessor-version":[{"id":2596,"href":"https:\/\/www.finoffice.com\/index.php\/wp-json\/wp\/v2\/pages\/2576\/revisions\/2596"}],"wp:attachment":[{"href":"https:\/\/www.finoffice.com\/index.php\/wp-json\/wp\/v2\/media?parent=2576"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}