{"id":4904,"date":"2025-12-11T14:06:59","date_gmt":"2025-12-11T07:06:59","guid":{"rendered":"https:\/\/gunungcapital.com\/?p=4904"},"modified":"2025-12-11T14:07:02","modified_gmt":"2025-12-11T07:07:02","slug":"ai-will-become-the-new-partner-at-the-deal-table-heres-how","status":"publish","type":"post","link":"https:\/\/gunungcapital.com\/zh\/ai-will-become-the-new-partner-at-the-deal-table-heres-how\/","title":{"rendered":"AI Will Become the New Partner at the Deal Table \u2014 Here\u2019s How"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"4904\" class=\"elementor elementor-4904\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c46f661 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c46f661\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d72e015\" data-id=\"d72e015\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-277a7e5 elementor-widget elementor-widget-text-editor\" data-id=\"277a7e5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.16.0 - 14-09-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><span style=\"font-weight: 400;\">Private equity is entering a structural shift. As highlighted in our recent piece <\/span><a href=\"https:\/\/gunungcapital.com\/zh\/reinventing-operational-due-diligence-with-ai\/\"><i><span style=\"font-weight: 400;\">\u201cReinventing Operational Due Diligence with AI\u201d<\/span><\/i><\/a><span style=\"font-weight: 400;\">, rising interest rates, longer hold periods, and compressed value-creation margins mean traditional deal playbooks, reliant on financial engineering or macro tailwinds are increasingly inadequate.<\/span><\/p><p><span style=\"font-weight: 400;\">In 2025 and beyond, the edge will come from operational insight, execution discipline and most of all, data-driven intelligence. That is why AI is no longer just a back-office efficiency tool. AI is becoming a full partner at the deal table. Not to replace human judgement but to amplify it, enabling deeper understanding of value, risk, and growth, especially in asset-heavy and industrial sectors where we operate.<\/span><\/p><p>\u00a0<\/p><h2><b>From Static Snapshot to Strategic Partner<\/b><\/h2><p><span style=\"font-weight: 400;\">In our previous article we explained how AI transforms operational due diligence (ODD). Traditional ODD \u2014 a static, time-bound review \u2014 is giving way to continuous operational visibility: AI-enabled ingestion of ERP data, IoT sensor logs, maintenance records, supply-chain and quality metrics allowing investors to detect inefficiencies or risks before they show up on financial statements.<\/span><\/p><p><span style=\"font-weight: 400;\">This shift created the groundwork for a new era when you can monitor operations in (near) real time instead of relying solely on historical data, you gain the ability to take action rather than simply watch.<\/span><\/p><p><span style=\"font-weight: 400;\">The natural progression now is to embed that operational intelligence throughout the entire deal cycle, from sourcing to governance, and to treat AI not as a supplementary tool but as a true co-pilot, co-investor, and \u201csilent partner\u201d in both decision-making and post-deal value creation.<\/span><\/p><p>\u00a0<\/p><h2><b>AI as a Sourcing and Screening Partner: Spotting Opportunities Humans Miss<\/b><\/h2><p><span style=\"font-weight: 400;\">Traditional deal sourcing largely depends on relationships, networks, and manual screening, slow, resource-intensive, and often biased toward known circles. AI changes that dynamic drastically.<\/span><\/p><p><span style=\"font-weight: 400;\">AI-powered deal-origination and screening platforms, scan large and varied data sources such as public filings, media reports, supply-chain data, web traffic, hiring patterns, patent or IP activity, satellite or geospatial data, and more. For example, AI can:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Identify a mid-market manufacturer showing early signs of demand surge or improved production efficiency.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Detect an infrastructure company under-investing in maintenance or quietly accumulating supplier concentration risk.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Spot a renewable energy project with fresh interconnection rights or favorable regulatory shifts.<\/span><\/li><\/ul><p><span style=\"font-weight: 400;\">These early signals allow PE firms to approach targets earlier, often before they enter traditional auction pipelines, offering first-mover advantage and better pricing discipline.<\/span><\/p><p><span style=\"font-weight: 400;\">In effect, AI becomes a sourcing partner, expanding the funnel and improving the quality of leads. This aligns directly with the competitive pressure described in our prior article: in today\u2019s market where value-creation margin is tighter, sourcing advantage can decide which deals deliver real returns.<\/span><\/p><p>\u00a0<\/p><h2><b>From Document-Heavy <\/b><b><i>\u201cChecklists\u201d<\/i><\/b><b> to Predictive, Data-Rich Insight<\/b><\/h2><p><span style=\"font-weight: 400;\">Once a target is identified, the traditional due diligence process often involves weeks of manual document review, financial statements, contracts, supplier agreements, compliance filings, followed by spreadsheets and human judgement.<\/span><\/p><p><span style=\"font-weight: 400;\">But AI changes the game. As shown by multiple recent studies and industry reports:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI-driven due diligence can reduce time in manual processes, by automating contract review, financial cross-checks, supplier and vendor analysis becoming document streamliner for business according to KPMG\u2019s report <\/span><a href=\"https:\/\/assets.kpmg.com\/content\/dam\/kpmgsites\/uk\/pdf\/2025\/05\/ai-impact-deals-market.pdf.coredownload.inline.pdf\" rel=\"nofollow noopener\" target=\"_blank\"><i><span style=\"font-weight: 400;\">\u201cThe Impact of AI on the Deals Market\u201d<\/span><\/i><\/a><span style=\"font-weight: 400;\">.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI also supports deeper, multi-dimensional risk assessment such as supply-chain vulnerabilities, ESG exposures, maintenance backlogs, hidden liabilities which is often invisible in traditional diligence.<\/span><\/li><\/ul><p><span style=\"font-weight: 400;\">Thus, AI becomes a diligence partner to delivering speed, breadth, and depth far beyond what a team of human analysts can realistically achieve within typical deal-process timelines.<\/span><\/p><p>\u00a0<\/p><h2><b>Pre-Closing Value-Creation Planning<\/b><\/h2><p><a href=\"https:\/\/gunungcapital.com\/zh\/reinventing-operational-due-diligence-with-ai\/\"><span style=\"font-weight: 400;\">Our earlier article <\/span><\/a><span style=\"font-weight: 400;\">described how AI enables creation of \u201coperational twins\u201d,\u00a0 pre-close digital models of the target company that simulate operations, supply-chain flows, maintenance, output, and stress-test value levers.<\/span><\/p><p><span style=\"font-weight: 400;\">This capability unlocks a critical advance: by the time the deal closes, the PE firm is not scrambling to define post-close priorities. The value creation plan is already mapped out from the first day.<\/span><\/p><p><span style=\"font-weight: 400;\">With AI as a partner, the deal team can simulate various scenarios:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">What happens if production is optimized via better maintenance scheduling?<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">What if inventory and working capital are optimized via supply-chain improvements?<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">What if ESG compliance upgrades reduce regulatory risk and increase valuation?<\/span><\/li><\/ul><p><span style=\"font-weight: 400;\">This transforms VCP planning from hypothesis-based assumptions into quantified, data-backed roadmaps, giving sponsors and limited partners greater conviction in the \u201cwhy\u201d and \u201chow\u201d of value creation even before capital is committed.<\/span><\/p><p><span style=\"font-weight: 400;\">In compressed markets, like those we operate in Asia, where macro tailwinds are uncertain, and hold periods longer, this early VCP clarity is not just a nice-to-have, it is a competitive differentiator.<\/span><\/p><p>\u00a0<\/p><h2><b>Reducing Overpayment Risk<\/b><\/h2><p><span style=\"font-weight: 400;\">In current market conditions, paying too much for a target, especially one with operational or structural risk that can destroy returns over a typical private equity holding period. That risk is higher today than in past cycles.<\/span><\/p><p><span style=\"font-weight: 400;\">With AI enabling detailed diligence, predictive modeling, and scenario stress-testing, investors can apply more conservative, risk-adjusted valuations. They can stress-test downside scenarios, adjust for operational volatility, and factor in hidden liabilities or capex needs.<\/span><\/p><p><span style=\"font-weight: 400;\">AI becomes more than an analyst, it becomes a discipline-enforcing partner at the table, helping counteract optimism bias, and improving valuation rigor.<\/span><\/p><p>\u00a0<\/p><h2><b>AI Is Not a Silver Bullet \u2014 The Hybrid Model Prevails<\/b><\/h2><p><span style=\"font-weight: 400;\">It is crucial to emphasize what we said before that AI is not a substitute for domain expertise, deep operational know-how, or human judgement.<\/span><\/p><p><span style=\"font-weight: 400;\">Data quality, system integration, governance frameworks, and organizational readiness remain major constraints. Especially in emerging markets or industrial sectors where digitization is patchy, data fragmentation or poor record-keeping can limit what AI can achieve.<\/span><\/p><p><span style=\"font-weight: 400;\">What makes the difference between success and failure is the <\/span>hybrid model<span style=\"font-weight: 400;\">. AI handles high-volume data ingestion, anomaly detection, predictive modeling meanwhile humans with domain experience will interpret results, provide context, make judgment calls, and execute strategic decisions.<\/span><\/p><p><span style=\"font-weight: 400;\">For firms like Gunung Capital with deep industrial know-how, regional presence, and a sustainability- and operations-driven mandate, this hybrid approach offers a real competitive advantage.<\/span><\/p><p>\u00a0<\/p><h2><b>What the Deal Table of 2026 Looks Like<\/b><\/h2><p><span style=\"font-weight: 400;\">The next generation of deal-making won\u2019t just gather underwriters, bankers, and lawyers. It will gather:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Operators and industrial experts<\/b><span style=\"font-weight: 400;\"> \u2014 those who know assets, plant operations, capex cycles, ESG realities<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Deal teams and financial professionals<\/b><span style=\"font-weight: 400;\"> \u2014 structuring capital, taxation, exit strategy, returns<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Data scientists, AI engineers, and operating-systems architects<\/b><span style=\"font-weight: 400;\"> \u2014 building the data pipelines, models, and dashboards that power predictive operations<\/span><\/li><\/ul><p><span style=\"font-weight: 400;\">AI will no longer be a side-project or efficiency lever. It will be a full, strategic partner involved in sourcing, diligence, valuation, value creation, and governance.<\/span><\/p><p><span style=\"font-weight: 400;\">For firms ready to embrace it, especially in asset-heavy, industrial, or sustainability-driven sectors, the payoff can be significant such as faster deal cycles, smarter underwriting, cleaner operations, better value creation, and ultimately a stronger, more resilient returns.<\/span><\/p><p><span style=\"font-weight: 400;\">At Gunung Capital, we believe this hybrid \u201chuman + AI\u201d model is happening. It is fundamental to delivering value, managing risk, and driving the green, sustainable transition that defines our institutional mandate.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Private equity is entering a structural shift. As highlighted in our recent piece \u201cReinventing Operational Due Diligence with AI\u201d, rising interest rates, longer hold periods, and compressed value-creation margins mean traditional deal playbooks, reliant on financial engineering or macro tailwinds are increasingly inadequate. In 2025 and beyond, the edge will come from operational insight, execution [&hellip;]<\/p>","protected":false},"author":1,"featured_media":4909,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[15],"tags":[],"_links":{"self":[{"href":"https:\/\/gunungcapital.com\/zh\/wp-json\/wp\/v2\/posts\/4904"}],"collection":[{"href":"https:\/\/gunungcapital.com\/zh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gunungcapital.com\/zh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gunungcapital.com\/zh\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/gunungcapital.com\/zh\/wp-json\/wp\/v2\/comments?post=4904"}],"version-history":[{"count":11,"href":"https:\/\/gunungcapital.com\/zh\/wp-json\/wp\/v2\/posts\/4904\/revisions"}],"predecessor-version":[{"id":4916,"href":"https:\/\/gunungcapital.com\/zh\/wp-json\/wp\/v2\/posts\/4904\/revisions\/4916"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gunungcapital.com\/zh\/wp-json\/wp\/v2\/media\/4909"}],"wp:attachment":[{"href":"https:\/\/gunungcapital.com\/zh\/wp-json\/wp\/v2\/media?parent=4904"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gunungcapital.com\/zh\/wp-json\/wp\/v2\/categories?post=4904"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gunungcapital.com\/zh\/wp-json\/wp\/v2\/tags?post=4904"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}