{"id":570035,"date":"2025-09-11T07:55:36","date_gmt":"2025-09-11T06:55:36","guid":{"rendered":"https:\/\/ibsintelligence.com\/?post_type=blogs&#038;p=570035"},"modified":"2025-09-11T07:55:36","modified_gmt":"2025-09-11T06:55:36","slug":"agentic-ai-is-shaking-up-the-future-of-finance-leadership","status":"publish","type":"blogs","link":"https:\/\/ibsintelligence.com\/blogs\/agentic-ai-is-shaking-up-the-future-of-finance-leadership\/","title":{"rendered":"Agentic AI is shaking up the future of finance leadership"},"content":{"rendered":"<figure id=\"attachment_570037\" aria-describedby=\"caption-attachment-570037\" style=\"width: 300px\" class=\"wp-caption alignright\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-570037 size-medium\" src=\"https:\/\/ibsintelligence.com\/wp-content\/uploads\/2025\/09\/mark-sheldon-placeholder-300x300.jpg\" alt=\"Mark Sheldon, CTO, Sidetrade\" width=\"300\" height=\"300\" srcset=\"https:\/\/ibsintelligence.com\/wp-content\/uploads\/2025\/09\/mark-sheldon-placeholder-300x300.jpg 300w, https:\/\/ibsintelligence.com\/wp-content\/uploads\/2025\/09\/mark-sheldon-placeholder-150x150.jpg 150w, https:\/\/ibsintelligence.com\/wp-content\/uploads\/2025\/09\/mark-sheldon-placeholder-768x768.jpg 768w, https:\/\/ibsintelligence.com\/wp-content\/uploads\/2025\/09\/mark-sheldon-placeholder-600x600.jpg 600w, https:\/\/ibsintelligence.com\/wp-content\/uploads\/2025\/09\/mark-sheldon-placeholder-100x100.jpg 100w, https:\/\/ibsintelligence.com\/wp-content\/uploads\/2025\/09\/mark-sheldon-placeholder.jpg 800w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><figcaption id=\"caption-attachment-570037\" class=\"wp-caption-text\">Mark Sheldon, CTO, Sidetrade<\/figcaption><\/figure>\n<p><em>By Mark Sheldon, CTO, <\/em><a href=\"https:\/\/www.sidetrade.com\/\"><em>Sidetrade<\/em><\/a><\/p>\n<p><strong>\u00a0<\/strong><em>Forget RPA. Today\u2019s AI agents bring autonomy, context, and decision-making power to complex financial processes like Order-to-Cash (O2C). Agentic AI is reshaping finance teams from the ground up<\/em><\/p>\n<p>A new wave of AI has landed, and it\u2019s already having a knock-on effect across businesses. Taking hold in the last 12-18 months or so, Agentic AI is somewhat different to its earlier counterparts. Rather than simply making predictions, following pre-defined rules, and relying on humans to handle exceptions &#8211; like traditional RPA and earlier AI solutions were built to do &#8211; instead, it operates with purpose and reasoning. Opening the door to autonomy with intent, it understands context and executes actions without needing explicit prompts or scripts, in pursuit of achieving a specific goal.<\/p>\n<p>Not only is it proving revolutionary across all manner of industries and functions, gaining traction quickly in sectors where autonomy, decision-making, and complex workflows offer high value, but it\u2019s also impacting how business leaders approach the structure and roles within their teams.<\/p>\n<p><strong>Multi-entity finance environments<\/strong><\/p>\n<p>From customer service to software development, Agentic AI is already busily reshaping the way work gets done far and wide. However, for me, given that Agentic AI is, by design, great at managing repetitive but complex tasks, finance stands out as one of the most promising areas for this technology.<\/p>\n<p>In multi-entity finance environments in particular &#8211; spanning countries, currencies, ERPs, languages and large organisations &#8211; software, automation and many manual interventions are the norm. And it\u2019s here that Agentic AI-powered Order-to-Cash (O2C) assistants will no doubt thrive.<\/p>\n<p>There are so many agent use-cases, from cash collection calls and email handling, cash application validation calls and smart reconciliation to one-click portal integration; this technology can coordinate each with precision and autonomy. The result: large finance organisations can now\u2026<\/p>\n<ul>\n<li>Cover global portfolios with consistent 24\/5 execution<\/li>\n<li>Handle thousands of additional interactions per day without scaling headcount<\/li>\n<li>Ensure data standardisation and clean execution across entities<\/li>\n<\/ul>\n<p>All of the above are well known pains for a CFO. By nature, humans are unreliable (they have sick days and annual leave), they get frustrated when their twentieth call of the day goes to voicemail and they will probably forget to write up notes on a couple of their daily calls. Agents won\u2019t do any of these.<\/p>\n<p>For CFOs and CEOs, this isn\u2019t just a leap in efficiency, it\u2019s a structural shift in enterprise control. Agentic AI transforms finance from a cost centre into a real-time command centre: accelerating liquidity, eliminating operational noise, and enabling leadership to act with precision at the pace of business. More importantly, it equips finance leaders with the resilience and agility to navigate volatility, turning uncertainty into advantage, and disruption into decisive action.<\/p>\n<p>Today, perhaps you have 10,000 lower-value (\u201clong-tail\u201d) accounts who you just chase with dunning emails and occasional manual follow-up. Tomorrow you could decide to execute agent dunning calls and agent follow-up. Every account would get almost the same experience as your high-value accounts. You can imagine the impact on your collection efficiency. So it\u2019s not all about replacing the human workforce.<\/p>\n<p><strong>Rethinking workforce planning <\/strong><\/p>\n<p>In leading enterprises, a new class of manager is emerging, one that doesn&#8217;t just lead people, but orchestrates a hybrid workforce of humans and intelligent agents. AI is not replacing these leaders. They are becoming the first generation to manage it, integrating autonomous agents into daily operations to drive speed, consistency, and scale.<\/p>\n<p>The shift is no longer about growing headcount. It&#8217;s about scaling intelligence. Forward-thinking CFOs and CEOs are redesigning roles from the ground up. Collection agents are evolving into relationship strategists focused on complex negotiations, controllers are shifting from retrospective reporting to real-time risk governance, and shared services are becoming dynamic, AI-augmented ecosystems.<\/p>\n<p>The advantage isn\u2019t in automation alone; it\u2019s in amplification. By offloading repetitive, rules-based work to agentic AI that never sleeps, never forgets, and never deviates from the best processes, organisations free their people to focus on what humans do best: judgment, creativity, and strategic action.<\/p>\n<p>Those who embrace this new model aren\u2019t just adapting, they\u2019re gaining a competitive edge. Because in the age of intelligent co-workers, the winners won\u2019t be those who scale faster, but those who scale smarter.<\/p>\n<p><strong>The CFO\u2019s 5-step blueprint for implementing Agentic AI<\/strong><\/p>\n<ol>\n<li><strong> Map your friction zones:<\/strong> Audit your O2C processes. Identify where manual effort still dominates, where exceptions slow down performance, and where standard automation has already hit its ceiling. These pain points are your entry points for agentic automation.<\/li>\n<li><strong> Evaluate your data infrastructure: Put simply, <\/strong>poor data = poor decisions. Agentic AI can\u2019t reason with incomplete or siloed data, and the quality of your inputs defines the intelligence of your agents. Ensure you have access to clean, contextual, and behaviour-rich data across all systems, including ERP, CRM, ticketing, and payment platforms. If your data isn\u2019t ready, your AI won\u2019t be either. Clearly, there is no point in making 10,000 calls today and the same again tomorrow, even if you have agents that can do this very cost effectively. Smart agents (powered by all your internal data) are essential for success.<\/li>\n<li><strong> Start narrow, scale fast: <\/strong>Keep it simple. Not all tasks should be agentic from day one. Define where full autonomy is lowest risk (e.g. outbound collections) and where human validation remains critical. And remember, early wins build internal trust and momentum, so aim to launch focused use cases\u2014such as collections and payment matching\u2014where agentic agents can demonstrate value quickly.<\/li>\n<li><strong> Prepare your people: <\/strong>With cultural buy-in just as critical as technical integration, how do leaders ensure that the people within their organisations fully harness this technological shift, rather than resist it, and overcome fears around agentic AI and human replaceability? The answer here is to bring teams into the loop early. Show them the data and proof that agents work and why; this is how you earn the trust in AI.<\/li>\n<li><strong> Beware of building agents outside of your operational software:<\/strong> Let\u2019s be clear, agents won\u2019t automate 90% of your teams in the next three years (despite what the AI visionaries want you to believe). That means you\u2019ll still need to handle exceptions, manage agent hand-offs, and support human users who are doing the complex work agents can\u2019t. With that in mind, focus on fully embedding them into your O2C systems.<\/li>\n<\/ol>\n<p>One last thought: agentic transformation here isn\u2019t to go \u201cfully autonomous\u201d overnight, building everything at once. Rather, it\u2019s about laying the right foundations for controlled delegation and scalable intelligence. But timing matters. The leaders in this new era won\u2019t be those who wait until it&#8217;s safe or perfect. They\u2019ll be the ones who move early, build smart, and scale intentionally. Because in the age of agentic AI, advantage accrues to those who architect the shift, before they\u2019re forced to react to it. Now is the time to start.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>By Mark Sheldon, CTO, Sidetrade \u00a0Forget RPA. Today\u2019s AI agents bring autonomy, context, and decision-making power to complex financial processes like Order-to-Cash (O2C). Agentic AI is reshaping finance teams from the ground up A new wave of AI has landed, and it\u2019s already having a knock-on effect across businesses. Taking hold in the last 12-18 [&hellip;]<\/p>\n","protected":false},"author":35621,"featured_media":570037,"template":"","categories":[11395],"tags":[47266,12663,27722,18735,47433,16607],"class_list":["post-570035","blogs","type-blogs","status-publish","has-post-thumbnail","hentry","category-analytics","tag-agentic-ai","tag-ai","tag-ai-powered-decisioning","tag-finance","tag-fintech-leadership","tag-workforce"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.9 (Yoast SEO v24.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Agentic AI is shaking up the future of finance leadership<\/title>\n<meta name=\"description\" content=\"Forget RPA. 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