Govern AI Before It Governs You.
Adopt AI with governance. Reduce risk. Stay in control.
AI Governance & Risk Advisory Services
Heights Consulting Group helps regulated organizations establish ownership, use-case documentation, risk-aligned tooling, and controls that stand up to audit and regulatory review. We are part of a full-service cybersecurity and risk advisory practice — bringing the same compliance rigor we apply to NIST, CMMC, and HIPAA engagements to the governance of AI. In practice, that means the following.
- AI risk assessments and readiness reviews
- Governance and policy design (policies, approval workflows, playbooks)
- Integration and implementation advisory (architecture, data flows, controls)
- Operational workflows for review, escalation, and monitoring
The Challenge: Governing AI at Scale in Regulated Environments
Firms in legal, healthcare, finance, and professional services are under real pressure to deploy AI—often driven by efficiency goals, competitive expectations, or internal experimentation. Many already have tools in use. What's missing is structure.
Most organizations lack clear ownership, documented use cases, defined risk boundaries, and enforceable controls around how AI is accessed, trained, and relied upon. That gap creates exposure—regulatory, legal, operational, and reputational—long before leadership realizes it exists.
Heights Consulting Group helps organizations put governance in place before AI usage scales. We define accountability, document and assess use cases, align AI tooling to your risk posture, and establish controls that stand up to audit, regulatory review, and board scrutiny.
The result: AI adoption that is intentional, defensible, and aligned to how your organization actually operates.
What We Deliver
Every engagement is scoped to your industry, risk profile, and compliance context. Typical outputs include the following, in combinations that match your needs.
Risk & readiness report
A structured assessment of current AI use, tools, and data flows; identification of gaps against your compliance and security requirements; and a prioritized roadmap with clear next steps. Suitable for board or audit discussions.
Governance playbook
Policies, approval workflows, and decision rights so AI use stays within guardrails. Defines ownership, escalation paths, and review cycles so operations remain consistent and auditable.
Integration design
Architecture and implementation guidance for connecting AI capabilities to your existing systems and data. Addresses data residency, access controls, and auditability so integrations align with your risk posture.
Operational workflows
Documented processes for review, escalation, and monitoring of AI use. Ensures day-to-day operations remain consistent, traceable, and defensible to auditors and stakeholders.
Ready to Get Started?
AI is already in use at your company. Let's make sure it's secured.
AI Governance Services & Capabilities
We are vendor-agnostic and advisory-led. We focus on AI governance and risk ownership, not on selling or implementing AI tools. Engagements are tailored to your scope and can be combined as needed.
AI risk assessments
AI risk management and readiness review: current AI use, tools, data flows, and controls mapped to your compliance and security requirements. Delivers a gap analysis and prioritized roadmap with clear ownership. Outputs are structured for audit defensibility and board or regulatory review.
AI integration advisory
Architecture and design guidance for connecting AI to your systems and data. Governance and risk ownership are built in: data residency, access controls, and auditability. We can guide or oversee implementation with your team or partners; we do not sell or implement off-the-shelf AI products.
AI automation & workflows
Scoping and design of automation and workflow solutions within your governance model. Defines ownership, approval paths, and monitoring so automated AI use remains controlled and auditable.
Governance & policy design
AI governance policies, approval workflows, and operational playbooks. Ensures day-to-day use is documented, consistent, and defensible to auditors, boards, and regulators.
Who we work with
We work best with organizations that need structured AI governance and AI compliance advisory: risk and compliance leaders, operations teams, and executives who must adopt AI while meeting regulatory and audit expectations.
Our AI Governance Methodology
Engagements are phased so scope, timeline, and deliverables are agreed up front. Typical timelines: risk assessments 2–4 weeks; governance playbooks and workflow design 6–10 weeks, depending on scope.
Discovery & scoping
We review your goals, current AI use, compliance context, and constraints. We propose a clear scope, deliverables, and timeline so there are no surprises.
Assessment
Structured risk and readiness work: inventory of use cases and tools, gap analysis against your requirements, and a prioritized roadmap with clear ownership.
Design & deliver
We produce the agreed outputs—playbooks, integration design, workflows—in collaboration with your team, with regular check-ins and review cycles.
Handoff & follow-up
Formal handoff of all deliverables and documentation. Optional follow-up or retainer support so you can own, iterate, and extend what we built.
Industries We Serve
We work with sectors where client confidentiality, regulatory compliance, and audit expectations make AI governance non-negotiable. Our engagements are sized for SMB and mid-market organizations.
AI governance in legal firms must address privilege, confidentiality, and ethics rules. Exposure to client data in AI tools or training creates regulatory and malpractice risk. We help firms put clear AI use policies and auditable workflows in place.
Healthcare organizations need AI governance that aligns with HIPAA and sector rules. Data residency, privacy, and security of PHI in AI systems are under regulatory scrutiny. We help providers and plans align AI use with compliance and auditability.
Banks, asset managers, and insurers face regulatory and audit expectations that require documented AI governance and controls. Model risk, fair lending, and data use are in scope. We help define ownership and controls that stand up to review.
Accounting, consulting, and advisory firms hold client data and reputation to a high standard. AI governance here must ensure confidentiality and defensible use. We help firms document and control how AI is used in delivery and operations.
Why Heights Consulting Group
Heights Consulting Group is led by Dr. Daniel Glauber, with 30+ years of experience in cybersecurity, risk, and compliance. Our broader practice spans CMMC, HIPAA, SOC 2, vCISO, and related frameworks—AI governance is the same rigor applied to a new risk domain. We have delivered 500+ executive engagements across regulated industries.
- Advisory-led & vendor-agnostic — No product sales; we advise on strategy, design, and governance.
- Regulated-sector experience — Deep familiarity with HIPAA, CMMC, SOC 2, and other frameworks that govern how you operate.
- Structured deliverables — Reports and playbooks built for audit defensibility and stakeholder review.
Credibility
What you can expect when you engage with us: clear terms, confidential handling, and deliverables built for scrutiny.
Led by Dr. Daniel Glauber — 30+ years of cybersecurity and risk leadership across regulated industries.
Confidential & NDA-backed
We treat all client information as confidential. We work under NDA when needed and don't retain your data beyond what's required for the engagement.
Audit-ready outputs
Deliverables are structured for board, audit, and regulatory review—clear documentation, ownership, and next steps.
Clear scope & timeline
Scope, deliverables, and timeline are agreed up front. No surprises—typical engagements run 2–4 weeks for assessments, 6–10 weeks for playbooks and design.
Right-sized for SMB & mid-market
Engagements are tailored to organizations that need structured AI governance without enterprise-scale budgets or long timelines.
Frequently Asked Questions About AI Governance
Answers to questions we hear most often from risk, compliance, and operations leaders.
What does an AI risk assessment include?
We review how AI is used today (tools, data, people), map that to your compliance and security requirements, and produce a report with gaps and a prioritized roadmap. You get a clear snapshot and next steps, not a generic checklist.
Do you build AI integrations or only advise?
We focus on strategy, design, and governance. We define integration architecture, data flows, and controls; we can also guide or oversee implementation with your team or partners. We don’t sell or implement off-the-shelf AI products.
How long does a typical engagement take?
It depends on scope. A risk assessment might run 2–4 weeks; a full governance playbook and workflow design can extend to 6–10 weeks. We propose a timeline after discovery so you know what to expect.
Are you focused only on large enterprises?
No. We work with SMB and mid-market organizations—especially in regulated sectors like legal, healthcare, and finance—where governance matters but internal AI expertise is limited. Our engagements are sized to your needs.
What if we’ve already rolled out AI in pockets?
That’s common. We start from where you are: we inventory use cases and tools, then align them with policies and controls. The goal is to bring existing AI under governance rather than start from zero.
Do you help with AI vendor selection?
We can advise on fit against your risk and compliance requirements—e.g., data residency, auditability, and contract terms. We don’t resell vendors; we help you evaluate and govern what you choose.
What deliverables do we get?
Typical deliverables include a risk and readiness report, a governance playbook (policies and workflows), integration design documentation, and operational workflow guides. Exact scope is agreed in the engagement.
How do you handle our data and confidentiality?
We treat all client information as confidential. We work under NDA when needed, use secure channels, and don’t retain your data beyond what’s necessary for the engagement. We can align with your security and compliance expectations up front.
Do you work with our existing compliance or legal team?
Yes. We align with your in-house risk, compliance, and legal teams. We provide the AI governance structure and documentation; you keep ownership and decision rights. We often work alongside internal counsel or compliance officers.
Can you help us prepare for AI-related audits or regulatory exams?
Yes. We design controls and documentation so they're audit-ready: clear ownership, use-case documentation, risk assessments, and evidence of review. We can help you anticipate examiner or auditor questions and close gaps before an exam.
Is this a one-time engagement or ongoing support?
It can be either. Many clients start with a risk assessment or playbook, then bring us back for reviews, updates, or when scaling new use cases. We can scope a one-off project or a retainer for ongoing governance support.
How do you price engagements?
We scope each engagement individually and provide a fixed fee or phased quote after a short discovery conversation. Pricing reflects scope (e.g. assessment only vs. full playbook and workflows). There’s no obligation from an initial call.
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Based in Orlando, Florida. Serving regulated organizations across the U.S.
Representative Engagements
Anonymized examples of how we've helped regulated organizations. Client confidentiality is paramount.
We helped a regional law firm establish AI governance policies and approval workflows ahead of a regulatory inquiry. They had clarity on use cases, data handling, and defensible controls when it mattered.
A mid-market healthcare provider needed to align AI use with HIPAA and audit expectations. We delivered a risk assessment, documented controls, and a governance playbook so leadership could confidently brief the board.
An accounting and advisory firm was rolling out AI in pockets with no central oversight. We inventoried use cases, defined ownership and approval paths, and produced audit-ready documentation for client-facing and internal AI.