Establish Governance for a 90-Day Foundry Control Plane Deployment
AI is reshaping lending decisions, fraud detection, and customer engagement at the world's fastest-moving banks. But decisions made by AI regarding loans, risk, and coverage are among the most consequential in a person's life. Getting the governance wrong isn't just a compliance risk. It's a trust risk.
Microsoft's strategy prioritizes strengthening risk and compliance through secure, responsible AI that financial institutions can trust.
We help retail banks move from AI ambition to responsible AI action, fast.
Activate enterprise-level governance from day one without a heavy internal build.
Stating Microsoft's Responsible AI principles is easy. Operationalizing them is the build most banks can't staff. Foundry Control Plane closes that gap - turning four principles into enforced controls on day one, and hosting the surveillance layer for the other two.
Provable fairness for fair lending, credit scoring, fraud detection, and KYC. We engineer data diversity, model evaluation, drift monitoring, and bias detection on Azure AI and data services so disparate-impact testing across protected classes and proxies is continuous, defensible, and exam-ready.
Preventing hallucinations, fraud, and harmful outputs is mandatory for compliance. We stand up testing, red-teaming, content filtering, and robust deployment patterns on Azure - layered with the compute, monitoring, and security telemetry your model risk team and examiners expect.
PII, PCI, and financial data cannot be processed without these controls. We implement Azure-native encryption, tenant isolation, customer-managed keys, and data governance aligned to GLBA, Reg P, and PCI-DSS, so sensitive customer data stays where it belongs and consent stays auditable.
Customer-facing AI must serve every demographic. We engineer ADA/WCAG accessibility, multilingual support, and broad user testing across chatbots, digital onboarding, and customer support - drawing on the Azure AI services that make inclusive experiences feasible, while supporting your financial inclusion goals and CRA narrative.
Regulators require explainability for credit, underwriting, and fraud models. We deliver model documentation, decision-level explainability, and end-to-end traceability backed by the Azure compute, storage, and governance tooling that's needed to defend every output to customers, auditors, and examiners.
Every model decision that's made must be attributed to a system, a process, or an individual. We implement role-based governance, immutable audit trails, and human-in-the-loop workflows across the three lines of defense - so when a regulator asks "who is responsible for this AI output?" the answer is always clear.
Start with a board-ready responsible AI roadmap. Implement centralized governance and security for all agents and models. Retain continuous surveillance as regulations evolve.
A one-time diagnostic engagement that surfaces the retail bank's current AI model risk, governance gaps, and regulatory exposure while benchmarking the bank's control plane: the layer of continuous monitoring, oversight, and Responsible AI controls that governs every model and agent in production. Delivered as a board-ready Responsible AI risk report.
A fixed-scope implementation of Foundry Control Plane as your unified governance and operations layer for AI agents, models, and tools - fully configured and audit-ready in Azure.
A monthly or quarterly retainer providing continuous oversight, tuning, and regulatory alignment for the RAI control plane.
Turning AI ambition into a clear, governed strategy starts on Microsoft Azure, the foundation intelligent banking runs on.
Why it matters: Banks move from fragmented pilots to a strategic, governed AI operating model that regulators can understand and approve.
Banks that run on Microsoft Azure inherit a safe, compliant cloud where data governance is built in, not built from scratch.
Why it matters: Banks get trusted, compliant, well-governed data - the foundation for scalable AI.
Responsible AI is built directly into Microsoft Azure, so banks transform with confidence instead of bolting on controls after the fact.
Why it matters: Banks get provable, enforceable guardrails that satisfy internal risk teams and external regulators.
Explainability and visibility are what regulators keep asking for, and Microsoft Azure provides both end to end with defense in depth.
Why it matters: Banks can finally answer the regulator's core question: "Why did the model make this decision?"
Model Risk Management becomes automated workflows on Microsoft Azure, not a policy document gathering dust.
Why it matters: Banks get a regulator-aligned, audit-ready AI risk framework that accelerates approvals and reduces compliance friction.
Sources: KPMG, Intelligent Banking 2026, Microsoft
Microsoft aligned and certified, RAI Deployed is focused on a single problem: helping banks and other regulated enterprises run AI systems they can defend in front of a supervisor. Our team combines model risk management, Azure AI engineering, and policy experience drawn from financial regulators, Big Four risk practices, and Microsoft's partner ecosystem.
RAI Deployed exists to help regional banks move forward with AI confidently, building systems that are not just capable but defendable. We bring AI governance to Tier 2 banks that lack the in-house infrastructure to navigate model risk, regulatory scrutiny, and responsible AI deployment on their own.
SR 11-7, OCC 2011-12, EU AI Act, DORA, FCA SS1/23, GDPR, CPRA, NIST AI RMF, ISO/IEC 42001. Mapped to controls, evidence, and runtime checks - not slideware.
AI-900 (Azure AI Fundamentals) certified team with native integration across Azure AI Foundry, Microsoft Purview, Defender for Cloud, and Entra. As a Microsoft Cloud Solution Provider (CSP), we provision, manage, and bill the Azure resources your engagement runs on - and draw on Microsoft Partner technical enablement, co-sell motion, and roadmap access to extend the surface area you already license rather than introducing a parallel stack.
Fixed scope, fixed price, fixed timeline. Every engagement ships a named, senior accountable lead and a board-ready artifact at the end of week 12 - no exceptions.
Every engagement is built on this principle. Humans set strategy, judgment, and accountability; AI operates continuously under their direction - an approach that aligns retail banking's governance culture with the capabilities of modern agentic AI.
Start the conversation with a Microsoft partner focused on helping banks adopt responsible AI with confidence.
Or email us directly:
jmaicki@raideployed.com