What a virtual Chief AI Officer does
A virtual Chief AI Officer is a fractional executive who holds the decisions an organization would otherwise leave to whoever bought the first Copilot license: which AI models and tools are approved, which data each may reach, what employees may and may not do with them, what happens when an output is wrong or leaks something, how each new use case is assessed for risk, and how the board hears about all of it. EPC Group, a Houston-based Microsoft consulting firm, provides that function to mid-market and regulated organizations that have more AI in use than they have AI decisions recorded. This page is about the role as it operates and the way an engagement is structured; for the definition and deliverables in brief, see what a vCAIO is.
The word virtual means fractional and outside the org chart, not remote. The vCAIO sits in the steering meeting, signs the charter, and is named in the incident path. What makes the role executive rather than advisory is accountability: a consultant recommends, a vCAIO decides within a delegated threshold and owns the record of having decided.
vCAIO versus vCIO
The two titles are often confused because both are fractional and both touch technology. A vCIO owns the estate: infrastructure, applications, service levels, vendor contracts and the IT budget. A vCAIO owns the organization's use of AI across that estate and beyond it, including the business units that adopted a tool without telling IT. Where the vCIO asks whether a system is reliable and affordable, the vCAIO asks whether a model should be allowed to see this data, act on this record, or answer this customer at all. In an EPC Group engagement the division of labor is explicit: the vCAIO writes the AI decisions and the CIO or vCIO implements the controls in Entra, Purview, SharePoint and Azure that enforce them, often with EPC Group's Copilot consulting and data governance practices doing the implementation.
The responsibilities the role owns
- AI strategy and portfolio. One register of every AI initiative, with its business owner, the data it reaches, its risk tier and its status, reviewed at every steering meeting.
- Policy and governance. The AI use policy, the intake process, the risk assessment template and the governance forum that applies them.
- Platform and model decisions. Which platforms are approved for which data classes, including Microsoft 365 Copilot, Copilot Studio agents, Azure OpenAI in Microsoft Foundry and any non-Microsoft model, and the conditions under which each may be used.
- Regulatory posture. Mapping the organization's obligations, HIPAA, GLBA, state privacy law or the EU AI Act where it applies, to controls and evidence.
- Incident ownership. The defined path for a harmful, wrong or leaking output, and the post-incident review.
- Executive and board communication. A quarterly briefing that reports the portfolio, the risks accepted, the incidents handled and the decisions pending.
Decisions in the first 90 days
The first phase of a vCAIO engagement is about writing down what is already true and deciding what will be true next. The decisions are the inventory of AI in use, sanctioned or not, built from Entra sign-in and application data, Purview activity and a short survey of business units; the intake process every new use case must pass; the approved platforms and the data boundary for each; the employee AI use policy; the incident path; and the membership and cadence of the governance forum. Each is recorded with an owner and a review date. A mid-market organization usually discovers in this phase that it has several generative AI tools in use that no one approved, which is not a failure of the staff but the reason the role exists.
How AI governance is set up
Governance is built as a management system, not a policy document. The vCAIO adopts a published framework as the baseline rather than writing one from scratch. Microsoft's Cloud Adoption Framework advises starting with established frameworks such as the Microsoft Responsible AI principles or NIST's AI Risk Management Framework, aligning AI policy with existing corporate governance so AI does not become an exception to normal oversight, and reviewing policies against emerging regulation such as the EU AI Act and the ISO/IEC 42001 standard quarterly (Microsoft Learn, Guidance to set your organization's responsible AI policies, accessed 2026-10-20). Microsoft's own Responsible AI Standard rests on six principles, accountability, transparency, fairness, reliability and safety, privacy and security, and inclusiveness, and its development lifecycle follows the four functions of the NIST AI RMF: govern, map, measure and manage (Microsoft Learn, Artificial Intelligence overview, accessed 2026-10-20).
Three qualifications belong in any honest briefing. NIST AI RMF is a voluntary framework, not a regulation. ISO/IEC 42001 is a voluntary international standard that specifies requirements for an AI management system; Microsoft holds certification for services including Microsoft Copilot, Copilot Studio and Microsoft Foundry, and Microsoft states that a customer wishing to rely on it must still engage its own assessor for its own implementation (Microsoft Learn, ISO/IEC 42001:2023 Artificial intelligence management system, accessed 2026-10-20). The EU AI Act applies in phases that run into 2027 and 2028 rather than all at once in 2026, so a US organization with EU exposure plans against the dated obligations that apply to it, not against a single compliance date. The vCAIO maps whichever framework is chosen to the tenant control that enforces each requirement and to the artifact that proves the control ran; that mapping is what an auditor, insurer or acquirer later reads.
How the engagement is structured
EPC Group structures the vCAIO engagement as fixed-fee phases with named deliverables, so a CFO knows what is bought before it starts. The discovery and charter phase produces the AI inventory, the risk tiering and a signed charter that names the vCAIO's decision rights. The governance build phase produces the policy set, the intake process, the incident path and the control mapping. The operating phase is a fixed-fee retainer with a stated cadence: a monthly steering meeting that reviews the portfolio register and approves or declines intake requests, a quarterly board briefing, and a quarterly re-score of ownership and evidence. The handoff phase transfers the charter, register, policies and evidence pack to a full-time executive or to the CIO. Fees are quoted per phase after a scoping call and are not published; the structure, not the price, is what this page commits to.
Outcomes are measured against the charter rather than against activity: decisions logged through intake, use cases moved from unsanctioned to governed, controls evidenced per area of the tenant, incidents handled through the defined path, and briefings delivered on the stated cadence. If a quarter ends with no intake decisions and no evidence added, the engagement has not worked, whatever the meeting count says.
Documented work
ANON-CASES: EPC Group engagement data from executive advisory work covers mid-size and large organizations in healthcare, financial services and manufacturing where the vCAIO function was delivered alongside the firm's data governance consulting practice. Client names are not published here. Engagements are described by industry and organization size only, and no outcome figures are quoted that cannot be traced to a signed deliverable. EPC Group is a Microsoft Solutions Partner with all six Solutions Partner Designations as of October 2026.
Primary sources
- Artificial Intelligence overview — Microsoft Learn, accessed 2026-10-20
- Guidance to set your organization’s responsible AI policies — Microsoft Learn, accessed 2026-10-20
- ISO/IEC 42001:2023 Artificial intelligence management system — Microsoft Learn, accessed 2026-10-20
Frequently Asked Questions
How does a vCAIO differ from a vCIO?
A virtual CIO owns the technology estate: infrastructure, applications, service levels, vendor contracts and the IT budget. A virtual Chief AI Officer owns the organization’s use of AI across that estate and beyond it: approved models and tools, the data each may reach, policy and incident path, risk assessment per use case, and board reporting. The roles partner; in an EPC Group engagement the vCAIO writes the AI decisions and the CIO or vCIO implements the controls that enforce them.
What decisions does a vCAIO own in the first 90 days?
Six decisions are made and recorded: the inventory of AI already in use, sanctioned or not; the intake process every new use case must pass; the approved platforms and models and the data boundary for each; the employee AI use policy; the incident path for a wrong, harmful or leaked output; and the governance forum with named members and a fixed cadence. Each is written down with an owner and a review date, because an unrecorded decision cannot be audited or revisited.
How is AI governance set up under a vCAIO?
Governance is set up as a management system rather than a document. The vCAIO adopts a published framework as the baseline; Microsoft’s guidance points to the Microsoft Responsible AI principles or NIST’s AI Risk Management Framework and recommends quarterly review against the EU AI Act and ISO/IEC 42001 (Microsoft Learn, Guidance to set your organization’s responsible AI policies, accessed 2026-10-20). NIST AI RMF and ISO/IEC 42001 are voluntary. The framework is then mapped to the tenant controls in Entra, Purview, SharePoint and Azure and to the evidence each produces.
How is the engagement structured and how are outcomes measured?
EPC Group structures the engagement as fixed-fee phases with named deliverables: discovery and charter, governance build, an operating phase run as a fixed-fee retainer with a monthly steering meeting and a quarterly board briefing, and handoff. Fees are quoted per phase after the scoping call and are not published. Outcomes are measured against the charter: decisions logged through intake, use cases moved from unsanctioned to governed, controls evidenced per area, incidents handled through the defined path, and briefings delivered on schedule.
When should a company hire a full-time Chief AI Officer instead?
Hire full time when AI is the product or the primary operating lever rather than a set of tools, when the portfolio needs daily executive attention across several business units, when regulators or customers expect a named accountable executive on staff, or when the governance forum has outgrown a monthly cadence. A vCAIO engagement is also the right bridge while a full-time search runs; EPC Group’s handoff phase exists so the charter, register and evidence pack transfer to the incoming executive intact.
Talk to a senior architect
If your organization has more AI in use than AI decisions on record, a 30-minute discovery call with a senior EPC Group architect will cover the inventory, the charter and the first steering agenda. See the virtual Chief AI Officer service hub for engagement structures.
Email contact@epcgroup.net or call 888-381-9725.
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