Navigating AI governance and compliance challenges with BABL AI

AI is transforming financial services at unprecedented speed but innovation without governance comes with consequences. For financial institutions, the real question is no longer whether to innovate, but how to stay in control of the risks that come with AI. ❓ So how can the sector adopt AI while protecting customers, ensuring compliance, and maintaining trust? That’s the focus of the upcoming webinar: Navigating AI in Financial Services: Governance, Risk & Compliance, hosted by The Association of Governance, Risk & Compliance (AGRC) and The Association Of Professional Compliance Consultants (APCC). 📢 Speakers: • Elena Maran, Chief AI Risk Officer, Modulos AG • Oliver King-Smith, CEO, smartR AI • Gokhan Polat, Tutor, CFE Academy • Mateo Jarrin Cuvi, Senior Advisor, AGRC 🗓️ 5 October 2025 ⏰ 14:00 – 15:00 (UK time) This session is designed for leaders in finance, compliance, risk, and technology who want to innovate responsibly. 🔗 Register here: https://lnkd.in/dEY8CETh #AIGovernance #RiskManagement #FinancialServices

𝐀𝐮𝐝𝐢𝐭𝐢𝐧𝐠 𝐞𝐯𝐞𝐫𝐲 𝐪𝐮𝐞𝐫𝐲 𝐚𝐧 𝐚𝐠𝐞𝐧𝐭 𝐞𝐱𝐞𝐜𝐮𝐭𝐞𝐬 🤖 As AI agents assume more decision duties, transparency about why and how responses are generated becomes essential. Auditing and explaining each step supports risk management, regulatory alignment, and trust across teams that rely on agent outputs. Some organizations adopt end-to-end query logs that tie prompts to deliberations and data sources. For example, a financial services firm implemented a standardized audit trail and model-agnostic explanations, which reduced investigation time by 40% and improved regulator readiness. What patterns are emerging in this space, and how could these practices scale across industries? #ArtificialIntelligence #MachineLearning #GenerativeAI #AIAgents #MindzKonnected

𝐀𝐮𝐝𝐢𝐭𝐢𝐧𝐠 𝐞𝐯𝐞𝐫𝐲 𝐚𝐠𝐞𝐧𝐭 𝐪𝐮𝐞𝐫𝐲: 𝐭𝐫𝐚𝐧𝐬𝐩𝐚𝐫𝐞𝐧𝐜𝐲 𝐢𝐧 𝐚𝐜𝐭𝐢𝐨𝐧 🚀 As AI agents become embedded in daily operations, the focus shifts from outputs alone to the traceability of the process behind them. Auditing and explaining each query is reshaping governance, risk management, and user trust. Some teams are adopting end-to-end query logs and explainability layers to reveal why actions were taken. One approach involves embedding explainable summaries into dashboards that map each query to data sources and constraints. In practice, this yields faster root-cause analysis, simpler regulatory audits, and higher stakeholder trust. A financial services firm reports that the audit dashboard, showing the prompt, data lineage, and rationale for each decision, reduced escalation time and improved policy compliance. Readers are invited to share experiences and questions about integrating auditability into agent workflows. #ArtificialIntelligence #MachineLearning #GenerativeAI #AIAgents #MindzKonnected

𝐀𝐮𝐝𝐢𝐭𝐢𝐧𝐠 𝐚𝐧𝐝 𝐞𝐱𝐩𝐥𝐚𝐢𝐧𝐢𝐧𝐠 𝐞𝐯𝐞𝐫𝐲 𝐚𝐠𝐞𝐧𝐭 𝐪𝐮𝐞𝐫𝐲 🤖 Across enterprise AI stacks, auditing every query and explaining the resulting actions is increasingly viewed as a baseline capability. Some teams adopt end-to-end tracing that attaches prompts, model decisions, data sources, and the rationale behind each step, creating auditable trails for governance and risk management. In one financial-services example, an agent’s query and its justification were logged alongside data provenance; this enabled rapid regulatory reviews and safer handling of sensitive information. The result was faster incident resolution, clearer accountability, and stronger trust among customers and regulators. The industry is watching how scalable explainability becomes a competitive differentiator. Interested readers are invited to share experiences or questions in the comments. #ArtificialIntelligence #MachineLearning #GenerativeAI #AIAgents #MindzKonnected

AI standards are changing—are you ready? Navigating the EU AI Act and ISO/IEC 42001 is now mission-critical for organizations adopting AI. But what do these new regulations really mean for your compliance and risk management strategies? Unlock expert insights on building trustworthy, transparent AI systems—without drowning in complexity. Our latest visual guide breaks down the essentials and actionable steps. Ready to simplify your AI governance journey? Explore more at Dynamic Comply. #AICompliance #AI #EthicalAI #AIGovernance #ComplianceConsulting #DynamicComply #ISO42001 #EUAIAct #NISTAI #AIRiskManagement #AIEthics #ResponsibleAI #TrustedAI #AIApp #AISaaS #AINews

We trust our AI… but can we prove it? That’s the question many leaders are quietly asking as new regulations like the EU AI Act and U.S. AI risk management frameworks come into play. You might have strong data practices and model documentation, but still lack the governance foundation regulators expect. We often see teams who have fairness principles written down but no accountability structure to enforce them. Or models being deployed without clarity on who’s responsible for ethical oversight. It’s not bad intent—it’s missing governance. Start by mapping your AI lifecycle to existing compliance processes. Make sure roles, sign-offs, and review checkpoints are explicitly defined—not just assumed. If your policies don’t yet cover bias testing or model monitoring, that’s your first governance gap to address. Discover where your organization really stands. It’s a quick 5-minute diagnostic that helps organizations gauge their readiness around AI policies, risk, and compliance: 👉 https://lnkd.in/ecrmHKgC

We trust our AI… but can we prove it? That’s the question many leaders are quietly asking as new regulations like the EU AI Act and U.S. AI risk management frameworks come into play. You might have strong data practices and model documentation, but still lack the governance foundation regulators expect. We often see teams who have fairness principles written down but no accountability structure to enforce them. Or models being deployed without clarity on who’s responsible for ethical oversight. It’s not bad intent—it’s missing governance. Start by mapping your AI lifecycle to existing compliance processes. Make sure roles, sign-offs, and review checkpoints are explicitly defined—not just assumed. If your policies don’t yet cover bias testing or model monitoring, that’s your first governance gap to address. Discover where your organization really stands. It’s a quick 5-minute diagnostic that helps organizations gauge their readiness around AI policies, risk, and compliance: 👉 https://lnkd.in/ecrmHKgC

Managing AI responsibly isn’t just about innovation — it’s about governance, transparency, and trust. That’s where TrustArc’s AI Risk Governance Bundle steps in. This all-in-one solution empowers organizations to: ✅ Automate AI risk scoring for faster insights ✅ Monitor compliance in real time ✅ Scale governance frameworks across teams and tools Simplify your AI governance. Strengthen your compliance posture. Stay in control of your AI risk — before it controls you. Explore how TrustArc helps you manage AI risk with confidence 👇 #TrustArc #AIRiskGovernance

**AI Is Revolutionizing Risk & Compliance—Don’t Miss This Webinar!** Artificial Intelligence is rapidly transforming how companies handle Governance, Risk, and Compliance (GRC). From automating tedious audits to quickly exposing hidden risks, AI is helping organizations stay ahead of shifting rules—often faster than regulators themselves. Staying competitive now means embracing these AI-powered tools, but success depends on understanding both the huge opportunities and the unexpected risks. Want to learn how to actually implement these cutting-edge AI tactics? Join a free expert-led webinar that breaks down practical strategies for GRC teams, with insights on streamlining compliance, boosting risk detection, and navigating regulatory changes. This is a must for anyone in tech or finance looking to future-proof their compliance programs. #AI #GRC #RiskManagement #Compliance #Finance #TechInnovation [Read more & register here](https://lnkd.in/gpy6T7SD)

Responsible AI starts with governance. Discover how Zero Trust and secure by design help align risk, controls, and outcomes in our blog: https://msft.it/6048sLIGu #BeCyberSmart