Top 15 AI Governance Consulting Firms
Fifteen firms grouped by archetype — Big Four and advisory, GSIs, Microsoft-ecosystem specialists, public-sector and risk boutiques, mid-market — for enterprise AI governance, NIST AI RMF, ISO 42001 and Copilot governance.
EPC Group — founded in 1997, headquartered in Houston, a Microsoft Solutions Partner holding all six solutions designations — appears in the Microsoft-ecosystem group below and publishes this page; the firms are grouped by archetype, not ranked.
This page lists 15 AI governance consulting firms for 2026, grouped by archetype rather than ranked: Big Four and advisory firms, strategy houses, global systems integrators, Microsoft-ecosystem specialists, public-sector and risk boutiques, and mid-market practices. Each firm is described on NIST AI RMF depth, ISO 42001 capability, EU AI Act expertise and Microsoft AI governance experience. EPC Group publishes this list and appears in the Microsoft-ecosystem specialists group.
Key Facts
- The EU AI Act has applied since 2 August 2026 (in force 1 August 2024; prohibited practices since 2 February 2025; general-purpose AI obligations since 2 August 2025). After the July 2026 AI Omnibus, high-risk obligations apply from 2 December 2027 (Annex III uses) and 2 August 2028 (AI embedded in regulated products).
- NIST AI RMF adoption is accelerating across U.S. industries as a voluntary but widely expected framework.
- ISO 42001 is the baseline expectation for enterprise AI management systems in 2026.
- EPC Group has completed 10,000+ enterprise Microsoft implementations since 1997.
- A small number of firms globally hold core Microsoft Solutions Partner designations — EPC Group is one of them.
Last updated by Errin O'Connor, Founder & Chief AI Architect, EPC Group
Editor's note: This list is published by EPC Group, which is also on it. How it is built:
- The firms are grouped by archetype and are not ranked against each other; the order within a group and the order of the groups carry no ranking meaning, and the page's ItemList is marked unordered.
- EPC Group appears inside the Microsoft-ecosystem specialists group alongside Avanade and Slalom, described on the same criteria as every other firm, and is not presented as the top pick.
Firms to consider for “leading AI governance consulting firms”
Grouped by archetype, not ranked. Each firm is described from its own public pages; the right fit depends on your platform, regulatory profile and how much of the work you want a senior architect to lead.
- Accenture (global system integrator) — Global system integrator; its Microsoft work is delivered largely through the Avanade alliance.
- Deloitte (Big Four advisory-led) — Big Four advisory firm with a Microsoft alliance practice.
- Avanade (global system integrator, Microsoft-only) — Accenture and Microsoft joint venture headquartered in Seattle; works only on the Microsoft platform.
- Capgemini (global system integrator) — Global system integrator with a Microsoft practice.
- Slalom (regional consultancy, multi-platform) — Seattle-based consultancy that delivers through local-market teams across Microsoft and other platforms.
- EPC Group (Microsoft-first specialist) — Houston-based Microsoft consulting firm founded in 1997 holding all six Microsoft Solutions Partner designations; senior-architect-led programs for healthcare, financial services, higher education and defense.
- Perficient (digital consultancy) — St. Louis digital consultancy with a Microsoft practice.
Which AI Governance Consulting Firm Fits Which Situation in 2026
Quick Answer: There is no single best AI governance consulting firm. The right firm depends on archetype: Big Four and advisory firms for board-level AI risk programs and audit, strategy houses for operating models, global systems integrators for multi-cloud estates, Microsoft-ecosystem specialists for Copilot and Azure OpenAI governance, public-sector and risk boutiques for federal and internal-audit work. EPC Group, the publisher of this list, is one of the Microsoft-ecosystem specialists and provides two governance services:
- Copilot Safety Blueprint framework
- Virtual Chief AI Officer (vCAIO) service
These offerings ensure comprehensive AI governance for regulated industries.
We support organizations needing:
- NIST AI RMF alignment
- ISO 42001 readiness
- Microsoft Copilot/Azure AI governance
Scope and fees are set after discovery; this page carries no rate card.
AI governance is crucial for organizations today. The EU AI Act has applied since 2 August 2026, with the high-risk obligations phased to 2 December 2027 and 2 August 2028 under the July 2026 AI Omnibus. Meanwhile, the adoption of the NIST AI RMF is increasing rapidly across U.S. industries.
Additionally, ISO 42001 is becoming the standard for enterprise AI management systems.
Organizations using Microsoft Copilot, Azure OpenAI, and custom AI solutions without proper governance risk:
- Regulatory penalties
- Data exposure
- Reputational damage
We grouped these firms by archetype and described each on AI governance framework maturity, regulatory compliance depth, Microsoft AI platform expertise and responsible AI capabilities. The groups are not a ranking. EPC Group's own practice is enterprise AI governance consulting for Microsoft platforms in regulated industries, and the descriptions of the other firms draw on their published practice pages.
The 15 Firms, Grouped by Archetype
Big Four and advisory firms
Board-level AI risk programs, AI audit and assurance, regulatory examination readiness. Choose here when the board or the regulator is the audience.
Deloitte
Best for Enterprise AI Risk Programs
Deloitte Trustworthy AI practice provides comprehensive AI risk management for large enterprises. Strong in board-level AI governance programs and regulatory advisory. Premium pricing reflects Big Four positioning.
- Trustworthy AI framework
- Board-level AI governance
- Global regulatory advisory
PwC
Best for AI Ethics and Assurance
PwC Responsible AI practice combines ethics advisory with AI audit and assurance capabilities. Strong for organizations needing independent AI system audits and third-party AI risk assessments.
- AI audit and assurance
- Ethics advisory
- Third-party AI assessments
EY
Best for AI Regulatory Compliance
EY Trusted AI practice focuses on regulatory compliance for AI systems. Strong in EU AI Act readiness and AI regulatory mapping for multinational organizations.
- EU AI Act compliance
- AI regulatory mapping
- AI impact assessments
KPMG
Best for AI Audit Programs
KPMG provides AI audit and compliance programs integrated with their broader audit practice. Strong for organizations facing regulatory AI examinations.
- AI audit methodology
- Regulatory examination prep
- AI controls testing
Strategy houses
AI strategy and governance operating models set at the C-suite; implementation is handed to others.
McKinsey
Best for AI Strategy Advisory
McKinsey provides C-suite AI strategy advisory including governance operating models. Strong in executive alignment but limited in hands-on Microsoft AI platform implementation.
- C-suite AI strategy
- AI governance operating models
- Industry AI benchmarks
Global systems integrators
Multi-cloud AI governance at scale, governance automation platforms, European regulatory depth.
Accenture
Best for Multi-Platform AI Governance
Accenture governs AI across Azure, AWS, GCP, and open-source platforms. Strong for multi-cloud AI environments but less specialized in Microsoft-specific AI governance tooling.
- Multi-platform AI governance
- Responsible AI by Design
- Global AI delivery
IBM
Best for AI Observability Tools
IBM provides AI governance through Watson OpenScale (now watsonx.governance) tooling. Strong platform for AI model monitoring but requires integration expertise for Microsoft environments.
- watsonx.governance platform
- AI model monitoring
- Bias detection tooling
Capgemini
Best for European AI Governance
Capgemini brings deep EU AI Act expertise and European regulatory perspective. Strong for organizations headquartered in Europe or with significant EU operations.
- EU AI Act expertise
- European regulatory alignment
- Cross-border AI governance
Wipro
Best for AI Governance Automation
Wipro offers AI governance automation through their ai360 platform. Strong for organizations wanting automated AI monitoring at scale.
- AI governance automation
- ai360 platform
- Automated bias detection
Microsoft-ecosystem specialists
Copilot, Azure OpenAI and Purview governance inside Microsoft 365 and Azure estates. EPC Group, the publisher of this list, is one of the three firms in this group.
Avanade
Best for Copilot Governance at Scale
Avanade brings Microsoft partnership depth to Copilot governance for large enterprises. Strong at scale but less nimble for mid-market and specialized compliance scenarios.
- Large-scale Copilot governance
- Microsoft partnership access
- Global delivery
EPC Group
Microsoft-stack AI governance for regulated industries (publisher of this list)
EPC Group focuses its AI governance consulting on Microsoft-centric enterprises. Our Copilot Safety Blueprint framework governs AI deployment across regulated industries with HIPAA, SOC 2, and FedRAMP compliance built in. With enterprise Microsoft expertise since 1997 and 4 bestselling books, EPC Group combines Microsoft AI platform knowledge with governance framework design.
- Copilot Safety Blueprint framework
- Microsoft Purview AI governance
- NIST AI RMF + ISO 42001 alignment
- HIPAA/SOC 2/FedRAMP AI compliance
- Virtual Chief AI Officer (vCAIO) service
Slalom
Best for AI Adoption Governance
Slalom combines AI governance with adoption and change management. Strong for organizations deploying AI tools to frontline workers needing governance guardrails.
- AI adoption programs
- Frontline AI governance
- Change management
Public-sector and risk boutiques
Federal and defense AI governance; independent AI risk assessment and internal audit.
Booz Allen Hamilton
Best for Government AI Governance
Booz Allen specializes in AI governance for U.S. federal agencies and defense organizations. Strong DoD AI ethics and NIST alignment but limited commercial sector experience.
- Federal AI governance
- DoD AI ethics compliance
- NIST AI RMF implementation
Protiviti
Best for AI Risk Assessment
Protiviti specializes in independent AI risk assessments and AI internal audit programs. Strong for organizations needing third-party AI risk evaluation.
- Independent AI risk assessment
- AI internal audit
- Risk-based AI governance
Mid-market practices
Accessible AI governance quickstarts for organizations starting the program.
Centric Consulting
Best for Mid-Market AI Governance
Centric provides accessible AI governance for mid-market organizations. Less suited for complex regulatory environments but good for organizations starting their AI governance journey.
- Mid-market accessibility
- AI governance quickstarts
- Practical frameworks
Which archetype fits your situation — EPC Group's reading, disclosed
Disclosure: EPC Group publishes this page and appears in one row of the table below. The table is EPC Group's own reading of which kind of firm fits which situation. It is not a ranking, it does not change the order of the list above, and every firm it names is described on this page.
| If you are… | Consider… | Because… |
|---|---|---|
| Answering to a board, an audit committee or a regulator that wants AI risk, audit and assurance to come from an audit practice | Big Four and advisory firmDeloitte, PwC, EY, KPMG | Deloitte: Best for Enterprise AI Risk ProgramsPwC: Best for AI Ethics and AssuranceEY: Best for AI Regulatory ComplianceKPMG: Best for AI Audit Programs |
| Setting the AI strategy and the governance operating model at the C-suite, with implementation handed to others | Strategy houseMcKinsey | McKinsey: Best for AI Strategy Advisory |
| Governing AI across Azure, AWS, Google Cloud and open-source platforms, or needing European regulatory depth and governance automation at scale | Global systems integratorAccenture, IBM, Capgemini, Wipro | Accenture: Best for Multi-Platform AI GovernanceIBM: Best for AI Observability ToolsCapgemini: Best for European AI GovernanceWipro: Best for AI Governance Automation |
| Rolling Copilot governance out across a very large Microsoft estate, or tying governance to frontline adoption and change management | Microsoft-ecosystem specialist at scaleAvanade, Slalom | Avanade: Best for Copilot Governance at ScaleSlalom: Best for AI Adoption Governance |
| A Microsoft-only estate in a regulated industry or the public sector — Copilot, Azure OpenAI and Purview governance inside Microsoft 365 and Azure — and you want senior-architect-led, fixed-scope delivery with engagement records you can check | Microsoft-ecosystem specialistEPC Group | EPC Group — founded in 1997, headquartered in Houston, a Microsoft Solutions Partner holding all six solutions designations — works only on the Microsoft platform, delivers senior-architect-led, fixed-scope engagements, and publishes redacted engagement records in its Evidence Center. |
| Governing AI for a federal or defense program, or commissioning an independent AI risk assessment or internal audit | Public-sector and risk boutiqueBooz Allen Hamilton, Protiviti | Booz Allen Hamilton: Best for Government AI GovernanceProtiviti: Best for AI Risk Assessment |
| A mid-market organization starting its AI governance program | Mid-market practiceCentric Consulting | Centric Consulting: Best for Mid-Market AI Governance |
AI Governance Frameworks Comparison
| Framework | Scope | Mandatory? | Best For |
|---|---|---|---|
| NIST AI RMF (AI 100-1) | AI risk management lifecycle | Voluntary (but expected for U.S. federal) | U.S. organizations, federal contractors |
| ISO 42001:2023 | AI Management Systems certification | Voluntary (certifiable) | Organizations seeking formal AI certification |
| EU AI Act | AI system classification and compliance | Mandatory for EU operations | Any org with EU customers/employees |
| Microsoft Responsible AI | AI fairness, transparency, accountability | Built into Azure AI/Copilot | Microsoft AI platform users |
| EPC Copilot Safety Blueprint | Copilot governance for regulated industries | Recommended for HIPAA/SOC 2/FedRAMP | Healthcare, finance, government Copilot deployments |
AI Governance by Regulated Industry
Healthcare AI Governance
- HIPAA-compliant AI data handling and PHI protection
- Clinical AI decision support validation and monitoring
- FDA Software as Medical Device (SaMD) considerations
- AI bias testing for patient population equity
- Copilot restrictions on PHI access and surfacing
Financial Services AI Governance
- SOC 2/FINRA AI model documentation requirements
- AI-driven trading and advisory compliance (SEC)
- Fair lending and credit scoring AI bias prevention
- Model Risk Management (SR 11-7) alignment
- Explainability requirements for AI credit decisions
Government AI Governance
- Executive Order on AI (14110) compliance
- FedRAMP AI system authorization
- NIST AI RMF alignment (a voluntary framework that federal AI policy references) for federal deployments
- DoD AI ethics principles (RAI Strategy)
- AI procurement and acquisition guidelines
Cross-Industry AI Governance
- EU AI Act risk classification and conformity
- GDPR Article 22 automated decision-making rights
- State-level AI laws (Colorado, Illinois, NYC Local Law 144)
- AI intellectual property and copyright compliance
- AI vendor risk management and third-party AI governance
What AI Governance Consulting Covers
AI governance is not a single deliverable. A complete program spans six domains, and a firm that cannot describe its method for each one is selling a policy binder. The domains below are the ones every firm on this list is scored against.
AI inventory and risk classification
Catalog every AI system in use — Copilot, Copilot Studio agents, Azure OpenAI applications, embedded vendor AI — and classify each under EU AI Act Article 6 or a NIST AI RMF risk tier.
Data access governance
For Copilot and generative AI: define what data the AI can reach, how that access is controlled (Purview labels, DLP, Restricted Content Discovery (the control that replaced Restricted SharePoint Search, closed to new enablement on July 31, 2026)), and who approves changes.
Output governance
Policies for what AI systems can generate and share, by role and department — prohibited outputs (individual decisions, legal or financial advice) and approval workflows for sensitive ones.
Compliance mapping
Document how each AI control satisfies HIPAA, SOC 2, FedRAMP, GDPR, CCPA and the EU AI Act, with evidence collected automatically rather than attested by hand.
Monitoring and audit
Log every AI interaction (Purview Audit Premium for Copilot), alert on anomalous use through Sentinel, and run quarterly compliance reviews.
Incident response
Defined playbooks for AI-related data exposure, bias incidents and regulatory violations — who is paged, what is disabled, what is disclosed.
The Copilot Safety Blueprint's six domains
EPC Group's framework for Microsoft Copilot in regulated industries governs the same six domains with Microsoft-specific controls:
- Data access governance — audit and remediate SharePoint permissions to control what Copilot can reach through Microsoft Graph.
- Output governance — what Copilot may generate and share, by role and department.
- Usage monitoring — Purview Audit (Premium) logging of every Copilot interaction as compliance evidence.
- Compliance mapping — how the Copilot controls satisfy HIPAA, SOC 2 and FedRAMP.
- User policies — approved and prohibited use cases by role (a legal team, for example, does not draft client matters in Copilot).
- Incident response — playbooks for Copilot-related data exposure.
BYOAI (shadow AI) governance
The fastest-growing governance gap is the AI employees bring themselves — consumer chat assistants, image generators, browser extensions — used without IT approval and fed with company data. A BYOAI program discovers that usage through network and endpoint signals, assesses the data-privacy and IP risk per tool, sets an approved-tool policy, blocks what is not approved, and gives people a governed alternative through Copilot so productivity does not go underground.
A firm that governs Copilot but ignores shadow AI has governed the smaller half of the estate.
The Virtual Chief AI Officer
A vCAIO is fractional C-level AI leadership: the strategy, the governance framework, the risk program and the board reporting, without a full-time executive hire. In practice the role runs monthly governance board meetings, quarterly AI risk reviews, vendor evaluation and selection, regulatory monitoring, and dashboards that translate governance metrics into board language. It is what makes a real AI governance program reachable for a mid-market or growth-stage enterprise, and it is how the program keeps running after the consulting engagement ends.
EPC Group offers the role as a retainer scoped after discovery — see the vCAIO service.
One program, four standards: the six-pillar model
The NIST AI RMF, ISO/IEC 42001, the EU AI Act and Microsoft's Responsible AI Standard overlap heavily. Running them as separate compliance tracks multiplies the work; running one governance operating model that maps to all four does not. EPC Group's model has six pillars — policy and standards, technical controls, organizational structure, risk management, compliance mapping, continuous monitoring — and each NIST function (Govern, Map, Measure, Manage) lands on specific Microsoft controls: Purview for data governance, Entra for access, Defender for AI security, Compliance Manager for evidence.
Ask any firm on this list to show the same mapping for its own framework before you sign.
How to evaluate an AI governance consulting firm
AI platform and framework expertise
- Does the firm have deep expertise in your AI platform (Microsoft Copilot, Azure OpenAI, Copilot Studio)?
- Can it implement the NIST AI RMF and ISO 42001 with specific technical controls, not only policy documents?
- Does it have production experience governing Copilot, enterprise chat assistants and custom AI applications?
- Can it show AI governance implementations that passed a regulatory audit?
Regulatory and compliance depth
- Has it delivered inside your regulatory envelope?
- Can it map AI governance controls to HIPAA, SOC 2, FedRAMP or EU AI Act requirements?
- Does it collect compliance evidence for AI controls automatically?
- Has it helped an organization through an AI-specific regulatory examination?
Methodology and maturity
- Is there a documented governance methodology and a maturity model that tracks progression over time?
- Does it stand up AI governance committees and a Chief AI Officer role with clear charters?
- Is the method proven across several regulated-industry AI governance implementations?
- Does it build an AI Center of Excellence that outlasts the engagement?
Delivery and ongoing support
- Fixed-scope engagements with a costed roadmap before signature, or open-ended time and materials?
- Is fractional (vCAIO) AI governance leadership available?
- Is continuous AI monitoring offered as a managed service after go-live?
- What is the total scope — assessment, implementation, training and managed governance?
Five dimensions of AI governance maturity
A maturity assessment scores the organization on five dimensions and turns the gaps into a prioritized roadmap:
- Policy — from ad hoc to automated.
- Technical controls — from manual to continuous monitoring.
- Organization — from no defined roles to an established AI Center of Excellence.
- Compliance — from reactive to proactive.
- Risk management — from informal to quantitative.
Where governance demand is highest
- Financial services — algorithmic trading, credit decisioning and anti-money-laundering systems under close regulatory scrutiny.
- Healthcare — AI-assisted diagnosis and clinical decision support under HIPAA and FDA AI/ML guidance.
- Government and defense — the DoD AI assurance framework, the NIST AI RMF and FedRAMP for AI workloads.
- Legal — AI-generated content, contract analysis and eDiscovery AI need output governance and attorney oversight.
- Human resources — AI-assisted hiring tools face EEOC scrutiny for bias and need explainability documentation.
- Insurance — AI underwriting and claims decisions face state insurance commissioners and NAIC guidance.
Frequently Asked Questions
What is AI governance consulting?
AI governance consulting helps organizations establish policies, processes, and technical controls to deploy AI systems responsibly, ethically, and in compliance with regulations. This includes AI risk assessments, bias detection frameworks, model monitoring, audit trails, regulatory compliance (NIST AI RMF, ISO 42001, EU AI Act), and organizational AI governance structures. Enterprise AI governance consulting firms like EPC Group implement these controls using Microsoft Azure AI, Copilot governance tools, and Microsoft Purview for AI data governance.
How much does AI governance consulting cost?
It depends on scope: an AI readiness assessment is the smallest engagement, a Copilot governance framework sits in the middle, and an enterprise-wide AI governance program — policy development, technical controls, training and ongoing monitoring — is the largest. Every firm on this list prices these differently, and most quote after discovery. EPC Group works fixed-scope and fixed-fee, priced after a scoping call; it publishes no rate card.
What is the NIST AI Risk Management Framework?
The NIST AI RMF (AI 100-1) is a voluntary framework for managing AI risks published by the National Institute of Standards and Technology. It has four core functions: Govern (establish AI governance structure), Map (identify and contextualize AI risks), Measure (assess and monitor AI risks), and Manage (prioritize and mitigate AI risks). Organizations in regulated industries use NIST AI RMF as the foundation for AI governance programs. EPC Group implements NIST AI RMF aligned with Microsoft AI tools and Azure AI responsible AI features.
What is ISO 42001 for AI management systems?
ISO 42001:2023 is the first international standard for Artificial Intelligence Management Systems (AIMS). It provides requirements for establishing, implementing, maintaining, and improving an AI management system. Key elements include AI policy, risk assessment, data governance, transparency requirements, and continuous improvement. Organizations seeking ISO 42001 certification need documented AI policies, risk assessments, training programs, and audit processes. EPC Group helps enterprises achieve ISO 42001 readiness.
How does the EU AI Act affect U.S. companies?
The EU AI Act applies to any organization deploying AI systems that affect EU residents, regardless of where the company is headquartered. U.S. companies with European customers, employees, or operations must comply. High-risk AI systems (healthcare, financial, employment, law enforcement) face the strictest requirements including conformity assessments, transparency obligations, human oversight, and technical documentation. The Act has applied since 2 August 2026; the high-risk obligations apply from 2 December 2027 (Annex III) and 2 August 2028 (regulated products) after the July 2026 AI Omnibus. Penalties reach up to 35 million EUR or 7% of global revenue. Key obligations include AI system inventory and risk classification (Article 6), data governance for AI training data (Article 10), technical documentation (Article 11), record-keeping and audit trails (Article 12), transparency disclosures (Article 13), human oversight controls (Article 14), accuracy and robustness requirements (Article 15), and conformity assessment for high-risk AI (Article 43). EPC Group helps multinational enterprises navigate EU AI Act compliance alongside U.S. frameworks.
What is responsible AI and why does it matter for enterprises?
Responsible AI is the practice of developing and deploying AI systems that are fair, transparent, accountable, reliable, safe, and privacy-preserving. For enterprises, responsible AI matters because: regulatory requirements are increasing (EU AI Act, NIST AI RMF), AI failures create reputational and legal risk, biased AI decisions lead to discrimination lawsuits, and customers and employees demand AI transparency. Microsoft embeds responsible AI principles into Azure AI, Copilot, and Purview with built-in content filtering, bias detection, and audit capabilities.
Which AI governance framework should I use?
U.S. enterprises generally start from the NIST AI RMF. Organizations with EU customers or operations work to the EU AI Act and ISO/IEC 42001. Microsoft-centric organizations also follow the Microsoft Responsible AI Standard, which maps to the NIST AI RMF, so one control set can serve all three.
What is a Virtual Chief AI Officer (vCAIO)?
A vCAIO is a part-time AI executive who provides strategic AI leadership, the governance framework, and board reporting without the cost of a full-time C-suite hire. EPC Group offers the role as a retainer scoped after discovery.
How do you govern Microsoft Copilot in regulated industries?
Governing Copilot in regulated industries requires: pre-deployment data access reviews (ensuring Copilot cannot surface sensitive data), Microsoft Purview sensitivity labels on all documents, DLP policies preventing Copilot from processing regulated data, information barriers between departments, Copilot usage monitoring and audit logs, approved use case policies, and user training on responsible Copilot usage. EPC Group has developed the Copilot Safety Blueprint framework specifically for healthcare (HIPAA), financial services (SOC 2/FINRA), and government (FedRAMP) Copilot deployments.
What is the difference between AI governance consulting and AI ethics consulting?
AI governance consulting builds the organizational structures, policies, technical controls and compliance frameworks needed to deploy AI responsibly at enterprise scale. AI ethics consulting focuses on fairness, bias, transparency and societal impact. The stronger firms address both: practical governance frameworks that carry ethical principles alongside the technical controls for model monitoring, data-access governance, audit trails and regulatory compliance. Ethics without governance is aspirational; governance without ethics is incomplete.
Which frameworks do AI governance consulting firms work to?
The NIST AI RMF (AI 100-1) for U.S. organizations, ISO/IEC 42001:2023 for a certifiable AI management system, the EU AI Act for anyone whose AI affects EU residents, and the Microsoft Responsible AI Standard for Azure and Copilot deployments. The four overlap heavily, so a single governance operating model mapped to all of them beats four compliance tracks — that is what the six-pillar model above does.
What is BYOAI governance and why does an enterprise need it?
BYOAI (bring your own AI) governance addresses shadow AI — the consumer AI tools employees use without IT approval. The program discovers which tools are in use, assesses the data-privacy and security risk of each, sets an approved-tool policy, blocks what is not approved through technical controls, and offers a governed alternative through Copilot so productive AI use continues inside the controls.
How is AI governance maturity measured?
Across five dimensions — policy (ad hoc to automated), technical controls (manual to continuous monitoring), organization (no roles to an established AI Center of Excellence), compliance (reactive to proactive) and risk management (informal to quantitative). An AI Governance Maturity Assessment scores each dimension, names the gaps and delivers a prioritized roadmap.
How is Microsoft Copilot classified under the EU AI Act?
Microsoft positions Microsoft 365 Copilot as a general-purpose AI system, which carries transparency and technical-documentation obligations but is not itself high-risk. The deployment can still be high-risk: use Copilot to support HR decisions or credit scoring and the use case, not the tool, determines the classification and the conformity work that follows.
What is the difference between AI governance and AI safety?
AI safety is the technical discipline of keeping AI systems from producing harmful outputs. AI governance is the management discipline — the policies, controls, accountability structures and compliance programs that manage AI risk across the organization. Enterprises need both; most consulting engagements are governance, and safety engineering sits with the platform and model teams.
EPC Group's Productized AI Governance Practices
Three fixed-fee engagements deliver the framework, the identity layer, and the spend audit that the firms listed on this page have to assemble from scratch.
Agentic AI Governance
Seven-layer Governed AI on Microsoft Framework — Purview, Entra, Agent 365 — deployed before the first board-level agentic incident.
AI Identity Security
Non-human identity governance for service principals, OAuth grants, API keys, and AI agent identities — productized, fixed-fee.
AI Portfolio & ROI Assessment
30-day spend audit, success-criteria retrofit, and 90-day AI-debt-reduction roadmap with an executive Power BI dashboard on Microsoft Fabric.
Govern AI Before AI Governs You
Schedule a free AI governance assessment. We will evaluate your AI risk posture and deliver a governance roadmap aligned to NIST AI RMF, ISO 42001, and your industry regulations.
SHORTLISTING VENDORS?
See the evidence before you decide.
All six Microsoft Solutions Partner designations. Seven consecutive quarters as a G2 Leader. Microsoft-only since 1997. Client history includes NASA, FRBNY, and PepsiCo.