{"id":1559,"date":"2025-12-03T11:00:00","date_gmt":"2025-12-03T14:00:00","guid":{"rendered":"https:\/\/4matt.com.br\/?p=1559"},"modified":"2026-06-30T19:37:28","modified_gmt":"2026-06-30T22:37:28","slug":"ia-and-finops","status":"publish","type":"post","link":"https:\/\/4matt.com.br\/en\/ia-e-finops\/","title":{"rendered":"AI and FinOps: How to identify waste and cost-saving opportunities in licensing."},"content":{"rendered":"
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4MATT \u2014 the only Elite ServiceNow Partner in Brazil with Product Line Achievement in SAM \u2014 applies AI and FinOps to the ServiceNow ITAM platform to identify idle licenses, eliminate tool redundancies, and reduce software costs by 20\u201335% in 60-90 day cycles.<\/p>\n<\/div>\n

AI applied to FinOps helps companies automatically analyze their software and cloud consumption, detecting waste, excess licenses, and real optimization opportunities. This content explains how Artificial Intelligence and FinOps work together to reduce costs, control license usage, and avoid hidden expenses \u2014 and how ServiceNow ITAM delivers this governance in practice.<\/p>\n

In summary:<\/p>\n

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  1. AI identifies usage patterns and points out unnecessary spending on licenses.<\/li>\n
  2. FinOps brings governance and financial discipline to smarter decisions.<\/li>\n
  3. Combining these two practices, implemented through ServiceNow ITAM, generates continuous and predictable cost savings.<\/li>\n<\/ol>\n

    What is FinOps?<\/h2>\n

    FinOps is the Cloud Financial Management discipline that integrates technology, finance, and governance to improve the use of cloud resources and reduce costs. In other words, it ensures that each contracted service generates real value for the business, avoiding waste. To delve deeper into the strategic basis, please also consult our [link to relevant documentation]. FinOps Guide 2026<\/a>.<\/p>\n

    How do AI and FinOps complement each other?<\/h2>\n

    AI and FinOps are complementary approaches that help companies understand, predict, and optimize technology spending. While AI identifies patterns of waste, FinOps creates processes to ensure responsible and continuous financial decisions. Together, these practices reduce hidden costs and increase efficiency in software licensing.<\/p>\n

    License management has never been more challenging: cloud expansion, SaaS models, pay-per-use plans, automatic upgrades, and headcount variations make predictability complex. In this context, AI allows for the identification of patterns impossible to detect manually, while FinOps establishes the necessary financial governance to translate insights into real savings.<\/p>\n

    When these practices are applied to the ServiceNow ITAM<\/strong>, The company gains a unified and auditable view of its entire software asset portfolio \u2014 with claims workflows, reconciliation with the Content Library, and real-time compliance dashboards.<\/p>\n

    How AI identifies waste in licensing.<\/h2>\n

    AI acts as an advanced magnifying glass: it cross-references data from logs, access records, contracts, renewals, and actual consumption to identify what is being used, what is being paid for unnecessarily, and where there are opportunities for optimization.<\/p>\n

    Detects idle and underutilized licenses.<\/h3>\n

    One of the biggest sources of waste comes from unused active licenses \u2014 employees who have changed roles, left the company, or simply stopped using a tool. AI automatically identifies the last access, frequency of use, features accessed, and profiles that can migrate to cheaper plans. The result: recommendations for reallocation, downgrade, or cancellation based on evidence.<\/p>\n

    In ServiceNow ITAM, these insights power automated license claim workflows, reducing the decision cycle from weeks to hours.<\/p>\n

    Identify tool redundancy: Shadow IT and overlapping functionalities.<\/h3>\n

    It's common for different departments to contract tools with equivalent functions, generating duplicate costs. AI compares functionalities, real-world usage, and the cost-benefit of replacement or consolidation. The company reduces its technology stack, eliminates duplicate contracts, and centralizes solutions\u2014with centralized visibility in the ServiceNow CMDB.<\/p>\n

    Forecasting models: how to avoid budget overruns<\/h3>\n

    AI acts predictively, analyzing historical trends and anticipating peak demand. Managers are then able to:<\/p>\n