{"id":61583,"date":"2026-10-14T18:34:06","date_gmt":"2026-10-14T13:04:06","guid":{"rendered":"https:\/\/financialtelegraph.in\/index.php\/2026\/10\/14\/bots-ai-by-hr-anexi-takes-working-ai-agents-to-bharat-diamond-bourse-from-the-rough-to-the-ledger\/"},"modified":"2026-10-14T18:34:06","modified_gmt":"2026-10-14T13:04:06","slug":"bots-ai-by-hr-anexi-takes-working-ai-agents-to-bharat-diamond-bourse-from-the-rough-to-the-ledger","status":"publish","type":"post","link":"https:\/\/financialtelegraph.in\/index.php\/2026\/10\/14\/bots-ai-by-hr-anexi-takes-working-ai-agents-to-bharat-diamond-bourse-from-the-rough-to-the-ledger\/","title":{"rendered":"BOTS.Ai by HR Anexi Takes Working AI Agents to Bharat Diamond Bourse From the Rough to the Ledger"},"content":{"rendered":"<div>\n<p><img loading=\"lazy\" width=\"1200\" height=\"675\" src=\"https:\/\/financialtelegraph.in\/wp-content\/uploads\/2026\/10\/PNN-2026-10-14T182930604.jpg\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"BOTS.Ai\" decoding=\"async\"><\/p>\n<p class=\"wp-block-paragraph\"><strong><em>Nikhar Arora showed diamond and jewellery owners how AI agents can work across their trade, as orders return to the market<\/em><\/strong><\/p>\n<p class=\"wp-block-paragraph\"><strong>New Delhi [India], October 14:<\/strong> On <strong>8 October<\/strong>, diamond and jewellery owners at <strong>Bharat Diamond Bourse (BDB)<\/strong> watched an AI agent plan a rough stone, another price a polished one, and a third turn a customer\u2019s brief into a 3D render. The demonstrations were part of <strong>The Next Cut<\/strong>, a keynote by <strong>Nikhar Arora, Founder &amp; CEO, Mentoria; Director, HR Anexi; and Head, BOTS.Ai by HR Anexi<\/strong>.<\/p>\n<p class=\"wp-block-paragraph\">The timing matters. India\u2019s exports of cut and polished diamonds fell <strong>8.5% to $12.2 billion in FY26<\/strong>, according to GJEPC figures, and Surat\u2019s units are working through a fresh backlog of orders. Arora\u2019s case to the room was about meeting that demand without locking more cash into stock and receivables.<\/p>\n<h3 class=\"wp-block-heading\"><strong>What was on stage<\/strong><\/h3>\n<p class=\"wp-block-paragraph\">The agents that <strong>BOTS.Ai<\/strong> showed on stage followed a stone through the business, starting with the rough. The yield agent reads a scan of the stone, compares every possible cutting plan and picks the one that returns the most value. This is the step that decides how much of the rough is lost as wastage. Once the stone is polished, the pricing agent takes over. It reads the 4Cs, checks live market prices and recent sales, and gives the owner a price with the reasoning behind it.<\/p>\n<p class=\"wp-block-paragraph\">Further down the line, a design agent matches a customer\u2019s brief to the closest piece in the company\u2019s own design bank and renders it in 3D. Hiring agents source and shortlist people for desk and factory roles alike, from merchandisers to karigars, at a time when units are looking to staff up again. In finance, an agent runs the vendor cycle end to end, from purchase through credit and debit notes, and reconciles invoices against payments.<\/p>\n<p class=\"wp-block-paragraph\">One request on stage was spoken in Gujarati: a summary of the day\u2019s Surat diamond market.<\/p>\n<p class=\"wp-block-paragraph\">Arora was clear that the technology is meant to strengthen the trade, not hollow it out. <em>\u201cAI is not here to replace the karigar\u2019s eye or the owner\u2019s judgement,\u201d<\/em> he said. <em>\u201cIt is here to give both more time for the work only people can do: relationships, negotiation and craft.\u201d<\/em><\/p>\n<h3 class=\"wp-block-heading\"><strong>Where the money sits<\/strong><\/h3>\n<p class=\"wp-block-paragraph\">Arora gave owners one filter for any AI project. <strong>If it doesn\u2019t raise revenue, cut cost, free up working capital, improve the customer\u2019s experience or help beat a competitor, it shouldn\u2019t be built.<\/strong><\/p>\n<p class=\"wp-block-paragraph\">In this trade, he said, working capital is usually where the biggest gains hide. In one diagnostic <strong>BOTS.Ai<\/strong> ran for a diamond and jewellery manufacturer, it identified <strong>\u20b952 crore of annual value from AI<\/strong>. Close to half of that was cash tied up in inventory, receivables and slow procurement.<\/p>\n<h3 class=\"wp-block-heading\"><strong>Humans and agents, one team<\/strong><\/h3>\n<p class=\"wp-block-paragraph\">Arora\u2019s larger point was about how companies will be structured. In an AI-native firm, he said, the org chart includes agents as well as people. Each agent has a defined job and a named person who owns its output. Roles get redrawn around that. People spend less time preparing work and more time checking it, deciding and building relationships. Hiring shifts too. Firms will need people who can brief and supervise agents, alongside the craftspeople and staff they already rely on.<\/p>\n<p class=\"wp-block-paragraph\"><em>\u201cThe next decade will measure growth in revenue per person,\u201d<\/em> Arora said. <em>\u201cNot because people matter less. Because each person can now do far more.\u201d<\/em><\/p>\n<h3 class=\"wp-block-heading\"><strong>The owners\u2019 worries<\/strong><\/h3>\n<p class=\"wp-block-paragraph\">Arora took the room\u2019s concerns head-on. On data, he said the enterprise plans of the major AI providers generally don\u2019t train on customer data by default, and that a bigger exposure for most firms is the free app on an employee\u2019s phone. He asked owners to put a written AI policy in place. The advice lands as Indian businesses prepare for the <strong>Digital Personal Data Protection (DPDP) Rules<\/strong>, notified in <strong>November 2025<\/strong>, which set out how companies must handle the personal data they collect.<\/p>\n<p class=\"wp-block-paragraph\">On mistakes, he said every agent BOTS.Ai deploys works <strong>maker-checker<\/strong>. The AI prepares the work and a named person approves it.<\/p>\n<p class=\"wp-block-paragraph\">Product imagery got a sharper warning. Generative tools now turn one jewellery shoot into dozens of catalogue and campaign images, and the <strong>Advertising Standards Council of India\u2019s new guidelines on AI-generated advertising<\/strong>, issued on <strong>29 September<\/strong> and effective three months later, require advertisers to disclose AI content that materially shapes a buying decision. Misleading depictions of a product stay off limits with or without a label.<\/p>\n<p class=\"wp-block-paragraph\"><em>\u201cA model will cheerfully add a prong, reshape a setting or brighten a stone, and each change is a promise to a customer about a product that does not exist,\u201d<\/em> Arora said. <em>\u201cEnhance the photograph, never the facts.\u201d<\/em> He added that someone has to own the final approval by name. <em>\u201cThe most dangerous phrase in a company today is \u2018the AI did it.\u2019\u201d<\/em><\/p>\n<p class=\"wp-block-paragraph\">He ended with advice for the owners themselves. <em>\u201cAI doesn\u2019t trickle up. It starts with the owner. If you don\u2019t use it every day, nobody in your company will.\u201d<\/em> His suggestion was to run the existing business faster with AI while building a small, AI-native team beside it. <em>\u201cDon\u2019t renovate the house you live in. Build the new one next door.\u201d<\/em><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Nikhar Arora showed diamond and jewellery owners how AI agents can work across their trade, as orders return to the market New Delhi [India], October 14: On 8 October, diamond &hellip; <a href=\"https:\/\/financialtelegraph.in\/index.php\/2026\/10\/14\/bots-ai-by-hr-anexi-takes-working-ai-agents-to-bharat-diamond-bourse-from-the-rough-to-the-ledger\/\" class=\"more-link\">Read More<\/a><\/p>\n","protected":false},"author":1,"featured_media":61584,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[31],"tags":[670],"class_list":["post-61583","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-technology","entry"],"_links":{"self":[{"href":"https:\/\/financialtelegraph.in\/index.php\/wp-json\/wp\/v2\/posts\/61583","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/financialtelegraph.in\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/financialtelegraph.in\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/financialtelegraph.in\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/financialtelegraph.in\/index.php\/wp-json\/wp\/v2\/comments?post=61583"}],"version-history":[{"count":0,"href":"https:\/\/financialtelegraph.in\/index.php\/wp-json\/wp\/v2\/posts\/61583\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/financialtelegraph.in\/index.php\/wp-json\/wp\/v2\/media\/61584"}],"wp:attachment":[{"href":"https:\/\/financialtelegraph.in\/index.php\/wp-json\/wp\/v2\/media?parent=61583"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/financialtelegraph.in\/index.php\/wp-json\/wp\/v2\/categories?post=61583"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/financialtelegraph.in\/index.php\/wp-json\/wp\/v2\/tags?post=61583"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}