{"id":147901,"date":"2026-07-31T13:31:34","date_gmt":"2026-07-31T13:31:34","guid":{"rendered":"https:\/\/sii.pl\/?p=147901"},"modified":"2026-07-31T13:31:36","modified_gmt":"2026-07-31T13:31:36","slug":"five-days-in-indias-silicon-valley-how-sii-experts-built-ai-tools-at-the-abb-accelerator-2026","status":"publish","type":"post","link":"https:\/\/sii.pl\/en\/news-feed\/five-days-in-indias-silicon-valley-how-sii-experts-built-ai-tools-at-the-abb-accelerator-2026\/","title":{"rendered":"Five days in India&#8217;s \u201cSilicon Valley\u201d: How Sii experts built AI tools at the ABB Accelerator 2026"},"content":{"rendered":"\n<div class=\"wp-block-sii-nsw-container container container-4fc1576f-8633-40ea-8e2b-399b28cd99ba\"><style type=\"text\/css\">.container-4fc1576f-8633-40ea-8e2b-399b28cd99ba {  }\n                         @media screen and (max-width: 991px) { .container-4fc1576f-8633-40ea-8e2b-399b28cd99ba {  } }<\/style>\n<p><strong>More than 2,000 participants from 37 countries, over 600 submitted use cases, and two Stevie\u00ae Awards plus an International Innovation Award to its name \u2013 that\u2019s ABB Accelerator in numbers, the global innovation program Sii experts joined in June 2026 in Bengaluru. In a few days we designed working AI solutions for real, everyday problems at ABB \u2013 and came home with one conviction.<\/strong><\/p>\n\n\n\n<p>A key takeaway from the week is simple: when you bring together the right people, a clear goal, and a few days of focused, shared work, AI stops being a promise and becomes a working solution. That\u2019s how work on AI projects should look \u2013 fast, with effective communication, and across organizational boundaries.<\/p>\n\n\n\n<p>ABB Accelerator is a global innovation platform, complemented this year by the AI Boost conference, product sessions, and countless opportunities to talk with people from industry and from India\u2019s technical universities. Those conversations, between presentations and over coffee and kadak chai, carried the most energy.<\/p>\n\n\n\n<p>Our speakers from Sii Poland \u2013 Bogus\u0142aw Kos\u0119da, Pawe\u0142 Mazur and Patryk Wy\u017cgowski \u2013 brought their own topics to that exchange, close to ABB\u2019s business: predicting safety risks in industrial environments, AI-augmented field service built on Copilot Studio and Azure AI Foundry, and parameter-correction recommendations built from machine-data streams in waste management. Please find the key thoughts of the presentation summarized by one of the speakers.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-style-nsw-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><em>\u201cPredicting a safety hazard in industrial environment before it reaches a worker is no longer the hard part \u2014 that layer is already production-grade. The hard part is the line: AI predicts and advises, a human commits the decision, and a certified, deterministic function is the one that acts. The winning architecture isn\u2019t the most autonomous one \u2013 it\u2019s the one an operator trusts and an auditor can defend. The technology was never the obstacle. Trust is\u201d \u2013 says <strong>Bogus\u0142aw Kos\u0119da, PhD, Senior AI Architect, Sii Poland.<\/strong><\/em><\/p>\n<\/blockquote>\n\n\n\n<p>Apart from taking part in the AI Boost talks, Sii experts built four hackathon solutions, of which brief summarization can be found below.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Too many approvals, too little time<\/strong><\/h3>\n\n\n\n<p>When someone at ABB wanted to launch a new AI project, three teams: IT, Legal, and Data Privacy, each had to sign off, each running its own separate process. The person with the idea explained the same thing several times and waited a long time for an answer. We built a single AI-assisted process, AI4AI \u2013 Accelerate AI use case review, in which all three reviews happen together. <\/p>\n\n\n\n<p><strong><em>Result: faster, clearer, and without the frustration for whoever submitted the idea.<\/em><\/strong><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Invoices that sort themselves out<\/strong><\/h3>\n\n\n\n<p>Invoice handling in a large, multinational organization easily becomes blurry \u2013 it\u2019s hard to track what stage a document is at and who is approving it. With Common Report Source, every invoice lands in a shared inbox, catalogs and describes itself, and the right person approves or rejects it directly from Microsoft Teams, with the status updating automatically. <\/p>\n\n\n\n<p><strong><em>Result: finance always knows where things stand, and invoices are easier to pay on time.<\/em><\/strong><\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-style-nsw-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><em>\u201cInvoice approvals rarely stall because people are slow \u2013 they stall in inboxes, manual handoffs, and when nobody knows where a document actually is. We put the whole flow on Power Platform: every invoice catalogs and describes itself, and the approval happens right in Teams, where people already work. That was our biggest learning \u2013 simplicity, security, and a Teams-first experience are what drive tool\u2019s adoption. Automation only counts when people actually use it\u201d \u2013 says <strong>Pawe\u0142 Mazur, Senior Microsoft 365 Consultant, Sii Poland.<\/strong><\/em><\/p>\n<\/blockquote>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Ask the assistant for cloud resources<\/strong><\/h3>\n\n\n\n<p>Getting cloud compute resources usually means forms, permissions, and waiting. With Conversational Azure Resource Provisioning, you simply ask ABB\u2019s internal chatbot \u2013 behind the scenes, the system checks permissions, fills in the technical details, and routes the request for a brief human check.<\/p>\n\n\n\n<p><strong><em>Result: easy, secure, and with a full record of who asked for what.<\/em><\/strong><\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-style-nsw-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><em>\u201cAn assistant that provisions cloud on its own is a security incident waiting to happen. The point is that the AI never holds the keys \u2013 every request carries the user\u2019s own identity, gets checked against their real permissions, and lands as a pull request someone reviews before anything is created. The conversation is flexible; the execution is deterministic and recorded. You get the ease of just asking, without giving up who did what\u201d \u2013 comments <strong>Patryk Wy\u017cgowski, Senior AI Engineer, Sii Poland<\/strong><\/em><\/p>\n<\/blockquote>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Laser-sharp focus on the Risk Assessments Review<\/strong><\/h3>\n\n\n\n<p>One of the spectacular PoCs was related to improving the experience of the Activity Based Risk Assessment (ABRA) review. A custom interface \u2013 minimal and optimized for the task, a chat bidirectionally linked to guidelines and key sections of the documents was sure to boost the mundane process part. It also enabled self-service for the submitters \u2013 a refinement opportunity to reduce review time even further.<\/p>\n\n\n\n<p><strong><em>Result: more documents reviewed in the same amount of time, with less effort on the part of the person responsible for reviewing them.<\/em><\/strong><\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-style-nsw-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><em>\u201cA generic chatbot will happily tell you a risk assessment looks fine from memory, with no source you can check. That\u2019s exactly what you can\u2019t have for safety. We built the standards in, so every finding cites the rule it comes from and you can click \u2018Why?\u2019 to see the reasoning. The assistant doesn\u2019t replace the reviewer\u2019s judgment; it hands every reviewer the senior expert\u2019s checklist, with the evidence attached. Consistent, traceable, and fast enough to actually use\u201d \u2013 says <strong>Jacek Skoczylas, Senior AI Engineer, Sii Poland<\/strong><\/em><\/p>\n<\/blockquote>\n\n\n\n\n\n<h3 class=\"wp-block-heading\"><strong>These weren\u2019t demo-only prototypes<\/strong><\/h3>\n\n\n\n<p>It\u2019s easy to assume that something built in a few days of a hackathon is just a demo that will never reach daily work. Bengaluru showed otherwise:<em> AI4AI, Common Report Source, ABRA review support, and the Azure resource assistant<\/em> respond immediately to recurring, everyday problems at ABB \u2013 approving AI projects, processing invoices, accessing cloud infrastructure, time-consuming reviews. These initiatives got warm reviews and some of them immediately got traction for bringing them into production. We observed that short build time does not mean a short shelf life.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Lessons from Bengaluru<\/strong><\/h3>\n\n\n\n<p>Here are some insights brought by Sii Poland Team from ABB Accelerator 2026:<\/p>\n\n\n\n<ul class=\"wp-block-list is-style-checked-gradient\">\n<li>Put a team with different skills and from different organizations at one table, instead of splitting the work across distant departments.<\/li>\n\n\n\n<li>Give it one specific, narrow problem \u2013 not a vague \u201clet\u2019s do something with AI.\u201d<\/li>\n\n\n\n<li>Shorten the feedback loop: a few days of focused, shared work beats months of email back-and-forth.<\/li>\n\n\n\n<li>Treat organizational boundaries \u2013 IT, Legal, Finance, different countries \u2013 as something to cross, not accept.<\/li>\n\n\n\n<li>Thank you to ABB for inviting us on this adventure \u2013 we can\u2019t wait for the next one.<\/li>\n<\/ul>\n<\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":136,"featured_media":147894,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"tags":[5742,5935],"class_list":["post-147901","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","tag-artificial-intelligence","tag-technology-partnerships"],"acf":[],"aioseo_notices":[],"featured_media_url":"https:\/\/sii.pl\/wp-content\/uploads\/2026\/07\/1920x740_cover-www-worker-4.jpg","category_names":[],"_links":{"self":[{"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/posts\/147901","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/users\/136"}],"replies":[{"embeddable":true,"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/comments?post=147901"}],"version-history":[{"count":3,"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/posts\/147901\/revisions"}],"predecessor-version":[{"id":147922,"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/posts\/147901\/revisions\/147922"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/media\/147894"}],"wp:attachment":[{"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/media?parent=147901"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sii.pl\/en\/wp-json\/wp\/v2\/tags?post=147901"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}