{"id":100372,"date":"2025-04-18T13:48:22","date_gmt":"2025-04-18T13:48:22","guid":{"rendered":"https:\/\/expleo.com\/global\/en\/?post_type=insights&#038;p=100372"},"modified":"2025-05-07T08:56:55","modified_gmt":"2025-05-07T08:56:55","slug":"applying-agentic-ai-master-data-management-process","status":"publish","type":"insights","link":"https:\/\/expleo.com\/global\/en\/insights\/blog\/applying-agentic-ai-master-data-management-process\/","title":{"rendered":"Applying agentic AI to master\u00a0data\u00a0management process"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"100372\" class=\"elementor elementor-100372\" data-elementor-post-type=\"insights\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a32cb93 gg-article-content gg-standard-article-template gg-simple-text gg-container-tiny elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a32cb93\" data-element_type=\"section\" data-e-type=\"section\">\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-729474c\" data-id=\"729474c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-49348a5 elementor-widget elementor-widget-text-editor\" data-id=\"49348a5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><em>By <strong>Rizwan Shaikh<\/strong>, <strong>Senior Director, Expleo<\/strong><\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c233352 elementor-widget elementor-widget-text-editor\" data-id=\"c233352\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>While technology evolves at a rapid pace, businesses are still overwhelmed by the sheer volume and complexity of data. Customer records, invoices, product details, and financial transactions are just a fraction of the data deluge organisations manage daily.<\/p><p>For decades, Master Data Management (MDM) relied on rule-based systems and tedious human intervention to maintain clean and accurate data. The emergence of Artificial Intelligence (AI) and Machine Learning (ML) enabled data to be cleaned and organised more effectively, however, human intervention was still necessary.<\/p><p>Today, an AI agent refers to software that can understand its environment, make decisions, and take action to achieve specific goals. Agentic AI, which focuses on AI agents that can act autonomously, has progressed from\u00a0rule-based systems to more sophisticated systems that leverage Natural Language Processing (NLP) and Large Language Models (LLMs) for reasoning, decision-making, and task completion. \u00a0<b>These systems <\/b><b>enable<\/b> them to adapt to complex environments and solve problems with minimal human intervention.<\/p><p>Agentic AI brings intelligence, autonomy, and real-time decision-making to MDM.<\/p><p>Yet, many businesses are adopting AI with traditional approaches by testing small-scale automation pilots but are struggling to scale AI to its full potential. In doing so, they overlook the real opportunity\u2014Agentic MDM as a long-term, scalable advantage.<\/p><p>With compliance standards tightening, data silos growing, and legacy MDM processes creaking, it\u2019s time for a rethink. Here\u2019s why\u2014and how\u2014Agentic AI is the future your business needs.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9ffb43b elementor-widget elementor-widget-heading\" data-id=\"9ffb43b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Moving from AI-assisted to AI-led MDM<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d79db87 elementor-widget elementor-widget-text-editor\" data-id=\"d79db87\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Just as the internet reshaped communication, Agentic AI is redefining how businesses manage and govern data\u2014only this time, AI is calling the shots. If traditional AI in MDM is like a helpful assistant, Agentic AI is the decision-maker.<\/p><p><strong>What\u2019s the difference?<\/strong><\/p><ul><li><strong>AI in MDM (human-led):<\/strong><ul><li>Automates repetitive tasks like data ingestion, data cleansing, standardisation, and deduplication.<\/li><li>Uses machine learning to detect patterns and flag anomalies in data quality.<\/li><li>Improves data governance by enforcing rules for compliance and security.<\/li><\/ul><\/li><li><strong>Agentic AI in MDM (AI-led):<\/strong><ul><li>Ensures data is ingested and stored in the correct bins.<\/li><li>Self-corrects data inconsistencies without waiting for human approval.<\/li><li>Learns from past mistakes to continuously improve accuracy.<\/li><li>Adapts to new data structures without requiring new reprogramming.<\/li><li>Prevents errors before they happen instead of fixing them after.<\/li><\/ul><\/li><\/ul><p>The shift from human-led to AI-led data management is about fundamentally reimagining how data quality drives business value. Organisations that view AI as merely a faster way to do the same old processes are missing the transformation potential.<\/p><p>When businesses scale AI to be self-learning and adaptive\u2014reducing human intervention and eliminating inefficiencies before they become business problems\u2014that\u2019s when transformation happens.<\/p><p><strong><em>AI and data have evolved. Your MDM process should, too.<\/em><\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1565648 elementor-widget elementor-widget-heading\" data-id=\"1565648\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Agentic AI in action<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4ecaf10 elementor-widget elementor-widget-text-editor\" data-id=\"4ecaf10\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div>During our executive dinner with Element 22 (in the USA), we explored how Agentic AI is reshaping Master Data Management (MDM) across industries, and the consensus was that traditional MDM can\u2019t keep pace with today\u2019s data complexity.<\/div><div>\u00a0<\/div><div>Unlike traditional MDM that follows static rules, Agentic MDM applies contextual understanding. For instance, in retail, when encountering a new product variant, it can intelligently classify and link it to existing hierarchies based on similar products\u2014without explicit programming for each scenario, ensuring better inventory and pricing decisions.<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ca246be elementor-widget elementor-widget-heading\" data-id=\"ca246be\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Here\u2019s how Agentic AI is delivering value across industries<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a07f993 elementor-widget elementor-widget-text-editor\" data-id=\"a07f993\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li><strong>Banking and financial services<\/strong><ul><li>Automates compliance checks, ensuring real-time regulatory adherence.<\/li><li>Reduces fraud risks by identifying hidden patterns in transactional data.<\/li><li>Improves customer experiences by maintaining a single, accurate customer view across all banking services.<\/li><\/ul><\/li><li><strong>Retail and supply chain<\/strong><ul><li>Eliminates duplicate supplier records, fixing inconsistencies autonomously.<\/li><li>Predicts stock shortages based on historical buying patterns.<\/li><li>Could even negotiate supplier contracts autonomously based on data-driven pricing insights.<\/li><\/ul><\/li><li><strong>Manufacturing<\/strong><ul><li>Tracks supply chain data, detecting inconsistencies before they cause delays.<\/li><li>Predicts equipment failures, optimising maintenance schedules.<\/li><li>Improves inventory planning, reducing excess stock and shortages.<\/li><\/ul><\/li><li><strong>Life sciences and healthcare<\/strong><ul><li>Harmonises clinical trial data, speeding up drug development timelines.<\/li><li>Assists doctors by providing instant insights on patient histories.<\/li><li>Automates healthcare compliance, ensuring patient records meet industry standards.<\/li><\/ul><\/li><\/ul><p>Beyond governance and automation, Agentic AI also plays a role in intelligent decision-making. By analysing patterns and predicting data trends, it helps businesses make more informed, context-aware decisions in real-time\u2014reducing uncertainty and improving accuracy across operations.<\/p><p>Gartner predicts that by 2028, 33% of enterprise software will incorporate Agentic AI\u2014up from less than 1% in 2024. With 80% of C-suite executives acknowledging that AI is transforming their industries, the clock is ticking for businesses that fail to modernise. (Source: Integrating AI: Navigating the next wave of business transformation)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6477538 elementor-widget elementor-widget-image\" data-id=\"6477538\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"730\" height=\"412\" src=\"https:\/\/expleo.com\/global\/en\/wp-content\/uploads\/2024\/12\/agenticai_infographic.jpg\" class=\"attachment-large size-large wp-image-100399\" alt=\"An infographic titled &quot;Evolution of MDM&quot; compares three stages: Traditional MDM (human-dependent), AI-Assisted MDM (human-led), and Agentic MDM (AI-led), listing features for each stage.\" srcset=\"https:\/\/expleo.com\/global\/en\/wp-content\/uploads\/2024\/12\/agenticai_infographic.jpg 730w, https:\/\/expleo.com\/global\/en\/wp-content\/uploads\/2024\/12\/agenticai_infographic-300x169.jpg 300w\" sizes=\"(max-width: 730px) 100vw, 730px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3ff5d45 elementor-widget elementor-widget-heading\" data-id=\"3ff5d45\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The data trust paradox<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4c39acf elementor-widget elementor-widget-text-editor\" data-id=\"4c39acf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Most discussions around Agentic AI in MDM focus on <strong>efficiency<\/strong>, <strong>automation<\/strong>, and <strong>accuracy<\/strong>. But if AI is making critical decisions about enterprise data, who\u2019s ensuring those decisions are transparent, ethical, and accurate? This is the <strong><em>data trust paradox<\/em><\/strong>.<\/p><p>Businesses assume AI gets \u2018smarter\u2019 over time, but without the right guardrails, it can drift away from accuracy. Data isn\u2019t static\u2014it ages. And just like expired food in your fridge, expired data can cause serious issues if left unchecked.<\/p><p>With greater autonomy comes greater responsibility. This is why businesses need explainable AI models in MDM\u2014ones that provide a full audit trail of their decisions. AI should justify why it flagged a compliance risk or why it rejected a supplier\u2019s data. Otherwise, we are not managing data\u2014we are managing AI guesswork.<\/p><p>If an AI autocorrects a data record, businesses need to know:<\/p><ul><li>Who made the change? (AI or human?)<\/li><li>Why was it changed? (Rule-based or learned from past errors?)<\/li><li>Can we undo it if it\u2019s wrong? (Auditability)<\/li><\/ul><p>Balancing autonomy with accountability builds trust, and trust is what turns AI from a tool into a competitive edge.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-acc1b4b elementor-widget elementor-widget-heading\" data-id=\"acc1b4b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Implementation challenges\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-239bee0 elementor-widget elementor-widget-text-editor\" data-id=\"239bee0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The path to Agentic MDM isn&#8217;t without challenges. Organisations typically face resistance around AI trustworthiness, legacy system integration, and data governance restructuring. Other common roadblocks include:<\/p><ul><li>Data siloes that limit AI&#8217;s cross-functional learning<\/li><li>Organisational resistance to AI-driven decision-making<\/li><li>Insufficient metadata for AI to understand data context<\/li><li>Legacy systems with limited API connectivity<\/li><\/ul><p>Our experience shows that successful Agentic MDM implementations begin with high-impact, low-risk use cases that demonstrate value while building organisational confidence in AI&#8217;s capabilities.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4256886 elementor-widget elementor-widget-heading\" data-id=\"4256886\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The takeaway from our discussion<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c3de26e elementor-widget elementor-widget-text-editor\" data-id=\"c3de26e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>One thing is clear: AI is no longer just a tool\u2014it\u2019s becoming a decision-maker in its own right. But decision-making without accountability is a risk. And without transparency, Agentic AI in MDM risks becoming an ungoverned \u2018black box.\u2019<\/p><p>Move from vision to action in three simple steps:<\/p><ul><li><strong>Assess your MDM maturity:<\/strong> Map your current data processes\u2014where are the bottlenecks (e.g., silos, manual fixes)?<\/li><li><strong>Pick a high-impact use case:<\/strong> Start small\u2014say, deduplicating customer records or automating compliance checks.<\/li><li><strong>Partner with experts:<\/strong> Engage experts with AI as the core of their business to design a pilot that scales seamlessly.<\/li><\/ul><p>The real competitive advantage won\u2019t come from AI doing things faster\u2014it will come from AI doing things transparently and responsibly. That\u2019s the future of Agentic MDM as we see it.<\/p><p>At Expleo, we help businesses move from Proof of Concept (POC) to scalable AI solutions, ensuring that MDM transformations align with business goals and governance requirements.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-9f1c92e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9f1c92e\" data-element_type=\"section\" data-e-type=\"section\">\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-inner-column elementor-element elementor-element-52acdcc\" data-id=\"52acdcc\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bb2d94d elementor-widget elementor-widget-heading\" data-id=\"bb2d94d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Think bold with AI.<br> Build success with Expleo.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8f9d88f elementor-widget elementor-widget-text-editor\" data-id=\"8f9d88f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>If you would like to understand more, download our integrative AI report today.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4e4c3ed gg-button-v1 elementor-widget elementor-widget-button\" data-id=\"4e4c3ed\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/expleo.com\/global\/en\/insights\/campaigns\/scaling-ai-adoption-report-guidance-2024\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Download<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\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<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>AI is no longer just a tool\u2014it\u2019s becoming a decision-maker in its own right. But decision-making without accountability is a risk. <\/p>\n","protected":false},"author":136,"featured_media":100418,"parent":0,"template":"","meta":{"_oasis_is_in_workflow":0,"_oasis_original":0,"_oasis_task_priority":"2normal","footnotes":""},"topic":[164,145],"insights-single-templates":[18],"industry-taxonomy":[38,157,44,89],"content-type":[23],"country":[118],"service":[216,54,326,223,358,362,210,329,57,224,211,66,215,208,55],"class_list":["post-100372","insights","type-insights","status-publish","has-post-thumbnail","hentry","topic-artificial-intelligence-and-robotics","topic-digital-transformation","insights-single-templates-download-article","industry-taxonomy-banking-and-financial-services","industry-taxonomy-life-sciences","industry-taxonomy-manufacturing-and-construction","industry-taxonomy-retail-and-logistics","content-type-blog","country-india","service-digital-transformation","service-software-quality-assurance","service-ai-powered-devsecops","service-predictive-maintenance","service-ai-powered-software-quality","service-ai-powered-visual-inspection","service-customer-support-maintenance","service-programme-and-project-quality","service-design-thinking-lean-startup","service-industrial-process-operation-optimisation","service-innovation-management-solutions","service-iot-and-edge-computing","service-manufacturing-supply-chain","service-quality-testing","service-regulatory-compliance-management-for-manufacturing"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.0 (Yoast SEO v27.3) - 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