Governance Assessment Analyst
Intake → maturity scoring → gap analysis
GARY establishes the baseline: current governance posture, control effectiveness, model inventory completeness, and gaps against supervisory expectations.
Responsible AI built on Microsoft azure
Scale AI Across Your Retail Bank Without Scaling Your Risk
Responsible governance and control plane assessments for retail banks, aligned with Microsoft's Responsible AI Standard and Azure
A control plane is the layer that governs, monitors, and enforces policy across every AI model and agent in production.
Your regulators are asking about AI. Have your answer ready.
Find the gaps in how your bank governs, monitors and documents AI, from credit decisioning to Copilot, using a framework built on Microsoft's Responsible AI practices.
Microsoft Cloud Solution Provider (CSP)
AI-900 certified
Azure aligned
NIST AI RMF
EU AI Act ready
SR 11-7 / OCC MRM
ISO/IEC 42001
Frontier Firm Model
Human-Led & AI Operated
Humans set strategy, judgment, and accountability. AI operates continuously under their direction. This model aligns retail banking's governance culture with the capabilities of modern agentic systems.
Control Plane Discovery Pipeline
Your Mini Foundry Governance Pipeline
A proprietary, Foundry-aligned governance workflow powered by six specialized agents.
Regulatory & Compliance Interpreter
OCC / SR 11-7 / NIST / ISO / EU AI Act mapping
REGGIE overlays regulatory frameworks onto the bank's AI estate, identifying compliance gaps and required control enhancements.
Model Risk Specialist
Model inventory → risk scoring → drift/explainability review
MR evaluates model-level risks, drift exposure, explainability posture, evaluator alignment, and readiness for Foundry's continuous evaluation.
Control Plane Architect
Foundry control mapping → guardrail design → policy alignment
ARCHER maps the bank's governance gaps to Foundry's control plane capabilities - identity, guardrails, policy enforcement, observability, and runtime controls.
Delivery & Documentation Engine
Reports → evidence packages → scorecards
DEVON produces regulator-ready artifacts: governance maturity scorecards, compliance evidence, risk summaries, and Foundry readiness documentation.
Engagement & Proposal Generator
SOWs → pricing tiers → implementation roadmap
POPPY converts findings into a clear commercial path: implementation plan, Foundry deployment roadmap, and optional retained governance advisory.
Benefits
With Microsoft Foundry Control Plane, banks gain:
- Centralized governance & oversight across all agents, models, and workflows
- Unified identity & policy enforcement through Entra ID + Agent ID
- Regulator-ready controls mapped to OCC, SR 11-7, NIST, ISO, and EU AI Act
- Continuous evaluation & guardrails for safe, compliant agentic operations
- Immutable audit trails for model risk, decisions, and agent actions
- Operational resilience through gated promotion (sandbox → controlled → production)
- Faster AI adoption with enterprise controls already in place
Risks
Without Foundry Control Plane, banks face:
- Fragmented governance across models, agents, and business units
- Identity gaps & uncontrolled access for workloads and agentic systems
- Regulatory exposure due to missing controls, lineage, and auditability
- Unmonitored agent behavior without guardrails, groundedness checks, or HITL gates
- Opaque decisioning with limited telemetry and incomplete model inventory
- Higher operational risk from unmanaged drift, bias, and inconsistent evaluations
- Slower AI deployment due to manual governance and compliance bottlenecks
RAI DEPLOYED
Aligned with Microsoft Foundry & Frontier Transformation
We help retail banks establish the enterprise controls, oversight, and compliance posture required to adopt the Microsoft Foundry Control Plane and scale agentic systems responsibly.
What We Deliver
- Governance & regulatory alignment across model risk, compliance, supervisory expectations, and enterprise controls.
- Foundry Control Plane readiness through unified identity, policy enforcement, oversight, and observability.
- Structured 6-agent governance pipeline mirroring Foundry workflows to identify control-plane opportunities and prepare banks for responsible AI at scale.
Microsoft Cloud Solution Provider (CSP)
Microsoft Certified - AI-900
Azure-native
ISO 27001 aligned
NIST AI RMF
EU AI Act ready
Regulatory Coverage
OCC MRM Handbook (2021), Interagency Third-Party Risk Guidance (2023), SR 20-9 (AI/ML expectations), SR 11-7, OCC 2011-12, EU AI Act, CPRA, NIST AI RMF, ISO/IEC 42001. GDPR, DORA and FCA SS1/23 if your institution has cross-border exposure.
Microsoft Alignment
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.
Artificially Intelligent Banking: industry validation
What KPMG Says Is Holding Banks Back
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01
Clear AI strategy
Turning AI ambition into a clear, governed strategy starts on Microsoft Azure, the foundation intelligent banking runs on.
- Model development
- GenAI orchestration
- Deployment
- Governance
- Security
Why it matters: Banks move from fragmented pilots to a strategic, governed AI operating model that regulators can understand and approve.
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02
Data governance maturity
Banks that run on Microsoft Azure inherit a safe, compliant cloud where data governance is built in, not built from scratch.
- Data lineage, cataloging, and classification
- Secure, governed data platforms
- Access controls and auditability
- Data quality and observability pipelines
Why it matters: Banks get trusted, compliant, well-governed data - the foundation for scalable AI.
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03
Ethical guardrails
Responsible AI is built directly into Microsoft Azure, so banks transform with confidence instead of bolting on controls after the fact.
- Content filtering and safety
- Bias detection and fairness evaluations
- Human-in-the-loop workflows
- Policy enforcement and governance
Why it matters: Banks get provable, enforceable guardrails that satisfy internal risk teams and external regulators.
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04
Explainability and accountability mechanisms
Explainability and visibility are what regulators keep asking for, and Microsoft Azure provides both end to end with defense in depth.
- SHAP-based explainability
- Model cards and documentation
- Versioning, lineage, and audit trails
- Approval workflows and role-based accountability
- Monitoring for drift, bias, and performance degradation
Why it matters: Banks can finally answer the regulator's core question: "Why did the model make this decision?"
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05
Risk frameworks that satisfy regulators
Model Risk Management becomes automated workflows on Microsoft Azure, not a policy document gathering dust.
- Model lifecycle governance
- Secure environments for sensitive workloads
- Audit-ready logs and lineage
- Policy enforcement
- Segregation of duties and access governance
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
Assessment
Control Plane Governance Assessment
A fixed-scope, 12-week engagement that gives your bank a board-ready governance architecture, eight finished deliverables, and a Foundry-aligned roadmap for safe, compliant AI adoption.
Built for retail banks ($10B–$100B AUM) moving Copilot, AI agents, and model-driven workflows into production. Instead of separate governance, Copilot, data, and model-risk projects, you receive one unified architecture built on the Microsoft Foundry Control Plane.
What you Receive
- AI Governance Blueprint - 40 to 60 page enterprise governance architecture aligned to Microsoft's control plane.
- AI Risk Register - Full inventory of AI use cases, classified by risk and mapped to supervisory expectations.
- Copilot Governance Controls Pack - Role-based access, safe-use patterns, logging, monitoring, and guardrails.
- Foundry Control Plane Mapping - Your governance requirements traced to Foundry controls with gap remediation.
- Fabric Compliance Architecture - Lineage, sensitivity, access, and compliance workflows for AI-dependent data.
- MRM Integration Templates - Documentation, monitoring, validation, and lifecycle controls aligned to SR 26-2.
- Audit-Ready Documentation Bundle - Policies, procedures, control descriptions, and evidence templates.
- 12-Month Deployment Roadmap - Sequenced plan for Copilot, Foundry, and Fabric adoption with owners and gates.
Start the Conversation
Talk to a Responsible AI lead.
Start the conversation with a Microsoft partner focused on helping banks adopt responsible AI with confidence.
Email Joe directly for clarity on our capabilities:
jmaicki@raideployed.com
Data Handling
How We Govern Ourselves
We apply Microsoft's enterprise security, governance, and compliance controls across every assessment. Our process evaluates your AI governance posture without ingesting customer data, model weights, or proprietary decisioning logic.
- Identity & Access Controls - All human and workload access is authenticated through Microsoft Entra ID. Each agent operates under a unique Entra Agent ID, ensuring traceable, least-privilege execution.
- Data Governance - Microsoft Purview enforces classification, lineage, and access policies. Purview governs permissible inputs and prevents unauthorized data movement or replication.
- Model & Agent Governance - We align to the Foundry Control Plane registry, including versioned guardrail policies and evaluator configurations. No production models or internal algorithms are extracted.
- Oversight & Safety - Agent interactions are protected by Azure AI Content Safety, Prompt Shields, groundedness checks, and human-in-the-loop approval gates.
- Monitoring & Auditability - Foundry observability, Azure Monitor, and Application Insights provide immutable logs and exam-ready audit trails for all governance actions.
- Integration Boundaries - Connections to fraud, credit, AML, and operational systems are read-only. The control plane observes and governs; it does not rebuild or ingest core systems.
- Deployment Controls - All work follows a gated promotion pattern - sandbox-controlled-production, with each gate owned by a named role and enforced through identity, policy, and audit controls.
Our work is designed to evaluate governance posture, not to extract or process sensitive bank data.