{"id":12812,"date":"2026-06-08T18:42:00","date_gmt":"2026-06-08T17:42:00","guid":{"rendered":"https:\/\/rewirenow.com\/?p=12812"},"modified":"2026-06-27T10:49:00","modified_gmt":"2026-06-27T09:49:00","slug":"the-agentic-turn-in-the-financial-industry","status":"publish","type":"post","link":"https:\/\/rewirenow.com\/en\/resources\/blog\/the-agentic-turn-in-the-financial-industry\/","title":{"rendered":"The agentic turn in the financial industry"},"content":{"rendered":"\n\n<div class=\"at-spacer at-spacer--6a444e5da48d8\" style=\"background-color: transparent\">\n<style>\n\/* Ultrawide *\/\n.at-spacer--6a444e5da48d8 {\n    height: 80px;\n}\n\n\/* Desktop *\/\n@media (max-width: 1920px) {\n    .at-spacer--6a444e5da48d8 {\n        height: 80px;\n    }\n}\n\n\/* Laptop *\/\n@media (max-width: 1024px) {\n    .at-spacer--6a444e5da48d8 {\n        height: 60px;\n    }\n}\n\n\/* Mobile *\/\n@media (max-width: 767px) {\n    .at-spacer--6a444e5da48d8 {\n        height: 40px;\n    }\n}\n<\/style>\n<\/div>\n\n\n<section class=\"container-block   \"  style=\"\" >\r\n        <div class=\"block  container  container--default  width-under--mobile width-under--tablet width-under--laptop  wysiwyg\">\r\n        \n\n<p>Across banks, insurers, and asset servicers today, a similar picture emerges. On the one side, AI initiatives running in parallel without ever being absorbed into daily operations. On the other, initiatives that reliably create value. The difference between the two groups lies in the approach.<\/p>\n\n\n\n<p>Let&#8217;s focus on asset servicing in particular, because the industry tends to assume regulation is what holds it back. The opposite is closer to the truth: Fund administration, transfer agency, and the middle office already run as a sequence of controlled steps with defined owners, defined inputs, and a check at every gate. That structure is precisely the one in which AI, and agentic AI in particular, does its best work. <\/p>\n\n\n<div class=\"at-spacer at-spacer--6a444e5da4a7b\" style=\"background-color: transparent\">\n<style>\n\/* Ultrawide *\/\n.at-spacer--6a444e5da4a7b {\n    height: 30px;\n}\n\n\/* Desktop *\/\n@media (max-width: 1920px) {\n    .at-spacer--6a444e5da4a7b {\n        height: 30px;\n    }\n}\n\n\/* Laptop *\/\n@media (max-width: 1024px) {\n    .at-spacer--6a444e5da4a7b {\n        height: 30px;\n    }\n}\n\n\/* Mobile *\/\n@media (max-width: 767px) {\n    .at-spacer--6a444e5da4a7b {\n        height: 30px;\n    }\n}\n<\/style>\n<\/div>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>When AI really delivers in asset servicing<\/strong><\/h4>\n\n\n\n<p>Before examining what separates success from failure, it is worth starting with what actually works. Across our projects, three factors consistently drive AI value.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>First, <strong>a clear goal inside the process<\/strong>. For example, &#8220;<em>cut the time from a complete subscription pack to a cleared investor onboarding by half, so the transfer agency team can absorb a fund launch without adding headcount<\/em>&#8221; is a goal a team can tackle immediately, and one against which success can be measured. On the other hand, &#8220;<em>use AI in onboarding<\/em>&#8221; will fail on both counts. <\/li>\n\n\n\n<li>Second, <strong>the right data, understandable and reliable<\/strong>. Asset servicing sits on rich, structured data: investor records, subscription and redemption flows, fund accounting ledgers, custody positions, prospectuses, etc. Here the regulated firm has a quiet advantage, because reporting obligations and audit requirements have often already forced a level of data discipline that less regulated industries lack.<\/li>\n\n\n\n<li>Third, <strong>results where the decision is made<\/strong>. In asset servicing the point of decision usually sits at a control gate: the oversight check before a NAV is released, the four-eyes review on a payment, the compliance sign-off on a new investor. Good AI does prepares the decision inside the tool the reviewer already uses, surfaces the exceptions that need a human eye, and leaves a trace of how it got there. <\/li>\n<\/ul>\n\n\n\n<p>Where these three elements come together, impact emerges that is measurable and scalable. And it is the pattern behind the AI work that actually takes hold in regulated operations.<\/p>\n\n\n<div class=\"at-spacer at-spacer--6a444e5da4c74\" style=\"background-color: transparent\">\n<style>\n\/* Ultrawide *\/\n.at-spacer--6a444e5da4c74 {\n    height: 30px;\n}\n\n\/* Desktop *\/\n@media (max-width: 1920px) {\n    .at-spacer--6a444e5da4c74 {\n        height: 30px;\n    }\n}\n\n\/* Laptop *\/\n@media (max-width: 1024px) {\n    .at-spacer--6a444e5da4c74 {\n        height: 30px;\n    }\n}\n\n\/* Mobile *\/\n@media (max-width: 767px) {\n    .at-spacer--6a444e5da4c74 {\n        height: 30px;\n    }\n}\n<\/style>\n<\/div>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>The structure is the advantage<\/strong><\/h4>\n\n\n\n<p>It helps to be precise about why asset servicing is such fertile ground. A fund&#8217;s operational life runs as a chain of distinct stages, each with its own rules, its own data, and its own responsible owner. Investor onboarding and the KYC and AML checks that gate it. Subscription and redemption processing. NAV calculation and the oversight that validates it. Reconciliation across custody and accounting. Regulatory and investor reporting at the end. Between every stage sits a handover and, almost always, a control.<\/p>\n\n\n\n<p>This is the same architecture that multi-agent AI systems are built around. Specialized components do focused work within clear boundaries, and they hand off to one another at defined points. A single, monolithic AI asked to do everything across this chain tends to drift and to hallucinate. Specialized agents with narrow remits and clean handover points behave far more predictably, which is exactly what a regulated process requires.<\/p>\n\n\n\n<p>The regulatory apparatus that asset servicers sometimes experience as friction is, in this light, scaffolding. The four-eyes principle is human-in-the-loop, written into the operating model long before anyone spoke of agents. AIFMD and MiFID II define who is accountable for what. DORA, which has applied to financial entities across the EU since January 2025, has pushed firms to map their operational and ICT dependencies in detail, which is the same map an agent needs to act safely. The EU AI Act, now phasing in, asks for exactly the documentation, oversight, and traceability that a well-run fund administrator already produces for its regulators. Under the CSSF and its peer supervisors, governance is not a feature to be bolted on. It is already in the building.<\/p>\n\n\n\n<p>The constraint, then, is coordination: getting the right specialized capability to the right step, with a clean handover and a human at the gate. That is an architecture problem, and it is one this industry has been solving by hand for decades.<\/p>\n\n\n\n<div style=\"background:transparent;font-family:system-ui,sans-serif;padding:20px 0;max-width:800px\">\n  <p style=\"font-size:11px;letter-spacing:.1em;text-transform:uppercase;color:#555555;font-weight:500;margin:0 0 6px 0\">Figure 1<\/p>\n  <p style=\"font-size:15px;font-weight:600;color:#191919;margin:0 0 4px 0;line-height:1.2\">Every rule the asset servicing industry already follows is a guardrail agents need.<\/p>\n  <p style=\"font-size:13px;color:#666666;font-weight:300;margin:0 0 20px 0\">Together: the control stack agentic AI requires.<\/p>\n\n  <!-- Scroll container -->\n  <div id=\"f1-clip\" style=\"width:100%;overflow:hidden;position:relative;cursor:grab\">\n    <div id=\"f1-inner\" style=\"width:700px;position:relative\">\n      <!-- JS builds everything here -->\n    <\/div>\n  <\/div>\n\n  <!-- Scrollbar -->\n  <div id=\"f1-track\" style=\"height:5px;background:#eeeeee;border-radius:3px;margin-top:12px;position:relative;cursor:pointer\">\n    <div id=\"f1-thumb\" style=\"height:5px;background:#5024e5;border-radius:3px;position:absolute;left:0;top:0;width:100%\"><\/div>\n  <\/div>\n\n  <p style=\"font-size:11px;color:#888888;font-weight:300;margin:12px 0 0 0;line-height:1.2;font-style:italic\"><\/p>\n<\/div>\n\n\n\n<p>Each rule that once felt like a constraint installed a guardrail: accountability, audit trail, human oversight, a mapped environment, delegation control. That is the exact control set agentic AI needs, and the regulated firm already operates it.<\/p>\n\n\n<div class=\"at-spacer at-spacer--6a444e5da4f4f\" style=\"background-color: transparent\">\n<style>\n\/* Ultrawide *\/\n.at-spacer--6a444e5da4f4f {\n    height: 30px;\n}\n\n\/* Desktop *\/\n@media (max-width: 1920px) {\n    .at-spacer--6a444e5da4f4f {\n        height: 30px;\n    }\n}\n\n\/* Laptop *\/\n@media (max-width: 1024px) {\n    .at-spacer--6a444e5da4f4f {\n        height: 30px;\n    }\n}\n\n\/* Mobile *\/\n@media (max-width: 767px) {\n    .at-spacer--6a444e5da4f4f {\n        height: 30px;\n    }\n}\n<\/style>\n<\/div>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Four patterns that mark successful delivery<\/strong><\/h4>\n\n\n\n<p>However different mandates and maturity levels may be, the firms making visible progress attend to the same four themes.<\/p>\n\n\n\n<p><strong>1.&nbsp; Enable the right people, not only the technologists<\/strong><\/p>\n\n\n\n<p>A common assumption is that AI competence is mainly a matter of hiring more data scientists. In practice the larger leverage comes from the people who truly know the work: the fund accountants, the transfer agency officers, the oversight and quality managers who can tell a genuine exception from a benign one. They carry the context that makes an AI initiative take off. They know how a redemption will be processed, which investor data can be trusted, and where a NAV error occurs. When these people are deliberately enabled, in short, practice-oriented sessions on real cases, a technical experiment becomes a working tool. The reliable pattern is a tandem: domain expert and AI specialist working side by side, domain knowledge flowing into requirements, AI results flowing back into the process. The time from idea to first productive version typically halves.<\/p>\n\n\n\n<p><strong>2.&nbsp; Focus on a few, genuinely viable use cases<\/strong><\/p>\n\n\n\n<p>The portfolios that work are deliberately lean. Three to five use cases with visible leverage on core processes, each with a named owner and clear success criteria. Equally important is the discipline of finishing things. When a pilot has exhausted its potential, it is closed deliberately, and it makes room for the next. An illustrative picture from operations: rather than spreading effort across onboarding, reconciliation, and reporting at once, a successful team concentrates on one defined step, for example pre-checking incoming subscription documents against the legal requirements and flagging what is missing before it reaches the reviewer. The benefit shows up less in a single headline number than in a team that is noticeably relieved and a queue that clears more consistently.<\/p>\n\n\n\n<p><strong>3.&nbsp; Anchor AI directly where decisions are made<\/strong><\/p>\n\n\n\n<p>The last mile decides between AI introduced and AI in use. The firms that are consistent here build AI into the workflow: a flag inside the existing oversight tool rather than another screen, clear accountability for who acts on it, and a defined escalation for when the model is unsure. AI then becomes not an add-on but an extra pair of eyes and hands at the gate. An illustrative picture from oversight: a NAV review assistant recalculates key positions in parallel, compares them against the administrator&#8217;s output, and presents only the discrepancies that exceed the NAV error threshold, with the underlying data attached. The reviewer still releases the NAV, as always. They simply see sooner where to look.<\/p>\n\n\n\n<p><strong>4.&nbsp; Treat AI as a product, not a project<\/strong><\/p>\n\n\n\n<p>Software projects have an end. AI systems do not. Successful firms give their AI systems the attention they give any production capability: a responsible owner, an operating concept, regular quality checks, versioning, and cost control. The effect is that the system stays reliable as inputs and processes change, and trust in it grows steadily. This is familiar territory for a regulated firm, because model validation, ongoing monitoring, and documented oversight are already part of the vocabulary. <\/p>\n\n\n<div class=\"at-spacer at-spacer--6a444e5da5199\" style=\"background-color: transparent\">\n<style>\n\/* Ultrawide *\/\n.at-spacer--6a444e5da5199 {\n    height: 30px;\n}\n\n\/* Desktop *\/\n@media (max-width: 1920px) {\n    .at-spacer--6a444e5da5199 {\n        height: 30px;\n    }\n}\n\n\/* Laptop *\/\n@media (max-width: 1024px) {\n    .at-spacer--6a444e5da5199 {\n        height: 30px;\n    }\n}\n\n\/* Mobile *\/\n@media (max-width: 767px) {\n    .at-spacer--6a444e5da5199 {\n        height: 30px;\n    }\n}\n<\/style>\n<\/div>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Agentic AI as the natural next step<\/strong><\/h4>\n\n\n\n<p>These four patterns lead naturally to where the technology is heading. The most useful way to picture agentic AI in asset servicing is a small set of specialized agents working in parallel within human decision gates. The point is that this division of labour decouples the depth of analysis from the number of people available to do it. Routine, synthesis, and scale move to the agents. The human contribution concentrates where it has always created the most value, in judgment at the gate. <\/p>\n\n\n\n<div style=\"background:transparent;font-family:system-ui,sans-serif;padding:20px 0;max-width:800px\">\n  <p style=\"font-size:11px;letter-spacing:.1em;text-transform:uppercase;color:#555555;font-weight:500;margin:0 0 6px 0\">Figure 2<\/p>\n  <p style=\"font-size:15px;font-weight:700;color:#191919;margin:0 0 4px 0;line-height:1.2\">The fund lifecycle is a chain of decision gates<\/p>\n  <p style=\"font-size:13px;color:#666666;font-weight:300;margin:0 0 24px 0\">Agents prepare. A person decides at every gate. Nothing passes without an audit trail.<\/p>\n\n  <!-- Gate 1 -->\n  <div class=\"fig2-gate\" style=\"margin-bottom:4px\">\n    <div class=\"fig2-card\" style=\"border:1px solid #5024e5;border-radius:6px;padding:12px 16px;background:#5024e508\">\n      <p style=\"font-size:11px;letter-spacing:.08em;text-transform:uppercase;color:#5024e5;font-weight:600;margin:0 0 4px 0\">Gate 1<\/p>\n      <p style=\"font-size:15px;font-weight:700;color:#191919;margin:0 0 0 0;line-height:1.2\">Investor onboarding (KYC \/ AML)<\/p>\n      <div class=\"fig2-detail\" style=\"margin-top:10px;border-top:1px solid #5024e520;padding-top:10px\">\n        <table style=\"width:100%;border-collapse:collapse\">\n          <tr>\n            <td style=\"width:50%;vertical-align:top;padding-right:12px\">\n              <p style=\"font-size:11px;font-weight:600;color:#5024e5;margin:0 0 3px 0\">Agent prepares<\/p>\n              <p style=\"font-size:13px;color:#444444;font-weight:300;margin:0;line-height:1.2\">Reads onboarding and KYC documents, screens against sanctions and PEP lists, flags missing or inconsistent items.<\/p>\n            <\/td>\n            <td style=\"width:50%;vertical-align:top;padding-left:12px;border-left:1px solid #5024e520\">\n              <p style=\"font-size:11px;font-weight:600;color:#191919;margin:0 0 3px 0\">Human decides<\/p>\n              <p style=\"font-size:13px;color:#444444;font-weight:300;margin:0 0 8px 0;line-height:1.2\">Compliance officer (MLRO) approves the investor.<\/p>\n              <p style=\"font-size:11px;color:#5024e5;font-weight:300;margin:0;line-height:1.2;font-style:italic\">Pre-check incoming subscription packs and flag gaps before they reach the officer.<\/p>\n            <\/td>\n          <\/tr>\n        <\/table>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div style=\"text-align:center;padding:2px 0;color:#5024e580;font-size:18px\">\u2193<\/div>\n\n  <!-- Gate 2 -->\n  <div class=\"fig2-gate\" style=\"margin-bottom:4px\">\n    <div class=\"fig2-card\" style=\"border:1px solid #5024e5;border-radius:6px;padding:12px 16px;background:#5024e508\">\n      <p style=\"font-size:11px;letter-spacing:.08em;text-transform:uppercase;color:#5024e5;font-weight:600;margin:0 0 4px 0\">Gate 2<\/p>\n      <p style=\"font-size:15px;font-weight:700;color:#191919;margin:0;line-height:1.2\">Subscription and redemption<\/p>\n      <div class=\"fig2-detail\" style=\"margin-top:10px;border-top:1px solid #5024e520;padding-top:10px\">\n        <table style=\"width:100%;border-collapse:collapse\">\n          <tr>\n            <td style=\"width:50%;vertical-align:top;padding-right:12px\">\n              <p style=\"font-size:11px;font-weight:600;color:#5024e5;margin:0 0 3px 0\">Agent prepares<\/p>\n              <p style=\"font-size:13px;color:#444444;font-weight:300;margin:0;line-height:1.2\">Validates dealing instructions against fund rules and cut-offs, checks cash, isolates exceptions.<\/p>\n            <\/td>\n            <td style=\"width:50%;vertical-align:top;padding-left:12px;border-left:1px solid #5024e520\">\n              <p style=\"font-size:11px;font-weight:600;color:#191919;margin:0 0 3px 0\">Human decides<\/p>\n              <p style=\"font-size:13px;color:#444444;font-weight:300;margin:0 0 8px 0;line-height:1.2\">Transfer agency officer authorises the transaction.<\/p>\n              <p style=\"font-size:11px;color:#5024e5;font-weight:300;margin:0;line-height:1.2;font-style:italic\">Auto-validate dealing instructions and surface only the exceptions.<\/p>\n            <\/td>\n          <\/tr>\n        <\/table>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div style=\"text-align:center;padding:2px 0;color:#5024e580;font-size:18px\">\u2193<\/div>\n\n  <!-- Gate 3 -->\n  <div class=\"fig2-gate\" style=\"margin-bottom:4px\">\n    <div class=\"fig2-card\" style=\"border:1px solid #5024e5;border-radius:6px;padding:12px 16px;background:#5024e508\">\n      <p style=\"font-size:11px;letter-spacing:.08em;text-transform:uppercase;color:#5024e5;font-weight:600;margin:0 0 4px 0\">Gate 3<\/p>\n      <p style=\"font-size:15px;font-weight:700;color:#191919;margin:0;line-height:1.2\">Reconciliation (custody and accounting)<\/p>\n      <div class=\"fig2-detail\" style=\"margin-top:10px;border-top:1px solid #5024e520;padding-top:10px\">\n        <table style=\"width:100%;border-collapse:collapse\">\n          <tr>\n            <td style=\"width:50%;vertical-align:top;padding-right:12px\">\n              <p style=\"font-size:11px;font-weight:600;color:#5024e5;margin:0 0 3px 0\">Agent prepares<\/p>\n              <p style=\"font-size:13px;color:#444444;font-weight:300;margin:0;line-height:1.2\">Matches positions and cash across custodian and accounting records, classifies breaks, proposes a resolution.<\/p>\n            <\/td>\n            <td style=\"width:50%;vertical-align:top;padding-left:12px;border-left:1px solid #5024e520\">\n              <p style=\"font-size:11px;font-weight:600;color:#191919;margin:0 0 3px 0\">Human decides<\/p>\n              <p style=\"font-size:13px;color:#444444;font-weight:300;margin:0 0 8px 0;line-height:1.2\">Reconciliation analyst confirms the match before NAV.<\/p>\n              <p style=\"font-size:11px;color:#5024e5;font-weight:300;margin:0;line-height:1.2;font-style:italic\">Auto-reconciliation with explained, pre-classified breaks.<\/p>\n            <\/td>\n          <\/tr>\n        <\/table>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div style=\"text-align:center;padding:2px 0;color:#5024e580;font-size:18px\">\u2193<\/div>\n\n  <!-- Gate 4 -->\n  <div class=\"fig2-gate\" style=\"margin-bottom:4px\">\n    <div class=\"fig2-card\" style=\"border:1px solid #5024e5;border-radius:6px;padding:12px 16px;background:#5024e508\">\n      <p style=\"font-size:11px;letter-spacing:.08em;text-transform:uppercase;color:#5024e5;font-weight:600;margin:0 0 4px 0\">Gate 4<\/p>\n      <p style=\"font-size:15px;font-weight:700;color:#191919;margin:0;line-height:1.2\">NAV calculation and oversight<\/p>\n      <div class=\"fig2-detail\" style=\"margin-top:10px;border-top:1px solid #5024e520;padding-top:10px\">\n        <table style=\"width:100%;border-collapse:collapse\">\n          <tr>\n            <td style=\"width:50%;vertical-align:top;padding-right:12px\">\n              <p style=\"font-size:11px;font-weight:600;color:#5024e5;margin:0 0 3px 0\">Agent prepares<\/p>\n              <p style=\"font-size:13px;color:#444444;font-weight:300;margin:0;line-height:1.2\">Recalculates key positions in parallel, compares against the administrator&#8217;s output, flags NAV errors with the data attached.<\/p>\n            <\/td>\n            <td style=\"width:50%;vertical-align:top;padding-left:12px;border-left:1px solid #5024e520\">\n              <p style=\"font-size:11px;font-weight:600;color:#191919;margin:0 0 3px 0\">Human decides<\/p>\n              <p style=\"font-size:13px;color:#444444;font-weight:300;margin:0 0 8px 0;line-height:1.2\">Oversight or fund accountant releases the NAV (four-eyes).<\/p>\n              <p style=\"font-size:11px;color:#5024e5;font-weight:300;margin:0;line-height:1.2;font-style:italic\">A NAV review assistant that shows the reviewer where to look first.<\/p>\n            <\/td>\n          <\/tr>\n        <\/table>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div style=\"text-align:center;padding:2px 0;color:#5024e580;font-size:18px\">\u2193<\/div>\n\n  <!-- Gate 5 -->\n  <div class=\"fig2-gate\" style=\"margin-bottom:12px\">\n    <div class=\"fig2-card\" style=\"border:1px solid #5024e5;border-radius:6px;padding:12px 16px;background:#5024e508\">\n      <p style=\"font-size:11px;letter-spacing:.08em;text-transform:uppercase;color:#5024e5;font-weight:600;margin:0 0 4px 0\">Gate 5<\/p>\n      <p style=\"font-size:15px;font-weight:700;color:#191919;margin:0;line-height:1.2\">Regulatory and investor reporting<\/p>\n      <div class=\"fig2-detail\" style=\"margin-top:10px;border-top:1px solid #5024e520;padding-top:10px\">\n        <table style=\"width:100%;border-collapse:collapse\">\n          <tr>\n            <td style=\"width:50%;vertical-align:top;padding-right:12px\">\n              <p style=\"font-size:11px;font-weight:600;color:#5024e5;margin:0 0 3px 0\">Agent prepares<\/p>\n              <p style=\"font-size:13px;color:#444444;font-weight:300;margin:0;line-height:1.2\">Compiles data across systems, drafts filings and investor reports, checks against templates.<\/p>\n            <\/td>\n            <td style=\"width:50%;vertical-align:top;padding-left:12px;border-left:1px solid #5024e520\">\n              <p style=\"font-size:11px;font-weight:600;color:#191919;margin:0 0 3px 0\">Human decides<\/p>\n              <p style=\"font-size:13px;color:#444444;font-weight:300;margin:0 0 8px 0;line-height:1.2\">Reporting lead reviews and signs off.<\/p>\n              <p style=\"font-size:11px;color:#5024e5;font-weight:300;margin:0;line-height:1.2;font-style:italic\">Assemble and pre-validate regulatory report packs.<\/p>\n            <\/td>\n          <\/tr>\n        <\/table>\n      <\/div>\n    <\/div>\n  <\/div>\n\n\n\n<\/div>\n\n\n\n<p>Between every stage sits a control. Agents do the preparation, a person decides at the gate, and nothing passes without an audit trail. This is the decision-gate architecture, drawn straight from the way fund administration already works.<\/p>\n\n\n<div class=\"at-spacer at-spacer--6a444e5da52b4\" style=\"background-color: transparent\">\n<style>\n\/* Ultrawide *\/\n.at-spacer--6a444e5da52b4 {\n    height: 30px;\n}\n\n\/* Desktop *\/\n@media (max-width: 1920px) {\n    .at-spacer--6a444e5da52b4 {\n        height: 30px;\n    }\n}\n\n\/* Laptop *\/\n@media (max-width: 1024px) {\n    .at-spacer--6a444e5da52b4 {\n        height: 30px;\n    }\n}\n\n\/* Mobile *\/\n@media (max-width: 767px) {\n    .at-spacer--6a444e5da52b4 {\n        height: 30px;\n    }\n}\n<\/style>\n<\/div>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>It&#8217;s not the tools. It&#8217;s the capability<\/strong><\/h4>\n\n\n\n<p>The firms that stay ahead build capability rather than acquire tools. Teams that understand and steer AI. Data products that are maintained and trusted. Systems that run in everyday operations instead of a test environment. And an operating logic that secures the value tomorrow as well. The most regulated corner of finance does not need to wait for the rest of the industry to work out how to govern AI. It already knows. The handover points, the four-eyes checks, the audit trail, and the documented oversight that can feel like weight are, for agentic AI, the blueprint.<\/p>\n\n\n\n<p><strong>Footnotes<\/strong><\/p>\n\n\n\n<p>* <em>A further milestone reinforces the onboarding gate: the EU&#8217;s 2024 anti-money-laundering package. Its single, directly applicable Anti-Money Laundering Regulation (AMLR) takes effect across the EU on 10 July 2027, and a central supervisor, AMLA, has been operational in Frankfurt since July 2025. In agent terms it sharpens a guardrail the chart already shows: verified, structured client due-diligence data and one harmonised standard for what must be checked before an investor passes.<\/em><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>About the author<\/strong><\/p>\n\n\n\n<p><strong>Dr. Philipp Diesinger <\/strong>is a data science executive with over 15 years of global experience driving AI-powered transformation across the life sciences industry. He has led high-impact initiatives at Boehringer Ingelheim, BCG, and Rewire, delivering measurable value through advanced analytics, GenAI, and data strategy at scale.<\/p>\n\n\n<div class=\"at-spacer at-spacer--6a444e5da545f\" style=\"background-color: transparent\">\n<style>\n\/* Ultrawide *\/\n.at-spacer--6a444e5da545f {\n    height: 30px;\n}\n\n\/* Desktop *\/\n@media (max-width: 1920px) {\n    .at-spacer--6a444e5da545f {\n        height: 30px;\n    }\n}\n\n\/* Laptop *\/\n@media (max-width: 1024px) {\n    .at-spacer--6a444e5da545f {\n        height: 30px;\n    }\n}\n\n\/* Mobile *\/\n@media (max-width: 767px) {\n    .at-spacer--6a444e5da545f {\n        height: 30px;\n    }\n}\n<\/style>\n<\/div>\n\n\n\n<section class=\"cta-box-block  js-cta-box  block\" >\n    <div class=\"container\">\n        <div class=\"cta-box\" style=\"background: linear-gradient(25deg, rgba(255,244,0, 0.13), rgba(37,206,206, 0.13));\">\n                            <figure class=\"cta-box__image\">\n                        <span class=\"cta-box__img\" data-lazy style=\"background-color: #f1f1f1;\">\r\n        \r\n                    <img data-lazy-full=\"https:\/\/rewirenow.com\/app\/uploads\/2024\/02\/data-foundations-bg-980x600.jpg\" alt=\"\" data-is-lazy>\r\n            <\/span>\r\n\r\n                <\/figure>\n                        <div class=\"cta-box__content\">\n                                    <h4 class=\"cta-box__title\">Agents reward organisations that ask harder questions first.<\/h4>\n                                                    <p class=\"cta-box__description\">The organisations getting compounding value from agentic AI share one trait: they invested in getting the foundations right before scaling. <br \/>\r\n<br \/>\r\nWe&#8217;ve built agent systems across financial services, energy, telecom, and public sector, from early proofs of concept to production systems running at scale. We&#8217;ve seen what separates the deployments that deliver from the ones that don&#8217;t.<\/p>\n                                                    <a class=\"cta-box__link btn btn--next\" href=\"https:\/\/rewirenow.com\/en\/contact\/\" target=\"_blank\" aria-label=\"Let's find the answers for your situation\">Let&#8217;s find the answers for your situation<\/a>\n                            <\/div>\n        <\/div>\n    <\/div>\n<\/section>\n\r\n    <\/div>\r\n<\/section>","protected":false},"excerpt":{"rendered":"<p>Why the most regulated corner of finance has the best blueprint for AI agents<\/p>\n","protected":false},"author":4,"featured_media":12920,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[178,149],"tags":[146,152,147,185,186,138,184],"class_list":["post-12812","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-agentic-ai-genai","category-data-and-ai-strategy","tag-ai","tag-ai-agent","tag-artificial-intelligence","tag-asset-management","tag-asset-servicing","tag-data-ai-strategy","tag-financial-services"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>The agentic turn in the financial industry | Rewire | Data &amp; 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