Continuous managed service
Managed AI Governance
Managed AI Governance supplements the same Alterlayer platform and operating model with ongoing operational support, while the client retains decision authority and accountability.
The operating workspace used by your team remains the system for AI Objects, Owners, Reviews, Decisions, Actions and Governance Records. Alterlayer adds the operational capacity to keep that work moving.
The Operating Gap
The same operating system, with ongoing governance support
Managed AI Governance uses the same Alterlayer platform and operating model. Alterlayer provides additional operational capacity to help keep the governance workspace current, prepare reviews, follow actions and maintain governance records.
As AI spreads across teams, applications and workflows, organizations must continuously maintain ownership, review changes, resolve gaps, prepare decisions and keep governance records current.
For many organizations, this work remains distributed across IT, Legal, Risk, Privacy and management — often as somebody's second job.
AI Governance is the organizational framework of responsibilities, rules and decision processes for AI. AI Governance Operations are the recurring activities through which that framework is carried out. Managed AI Governance is Alterlayer’s principal managed service for continuously supporting and operating those activities.
Managed AI Governance can continue from an Enterprise Private AI environment built around controlled infrastructure, model choice and enterprise knowledge, or begin with the enterprise AI already in use. Its role remains continuous governance: maintaining AI Visibility, AI Ownership, decisions and Governance Records as that estate changes.
Your organization retains ownership, decision authority and accountability. Alterlayer supports the operation of the governance process; it does not replace the people responsible for your AI.
Managed AI Governance
AI Governance Operations, managed by Alterlayer
Maintain
Keep the governance view of your enterprise AI estate current.
Maintain known AI systems, agents and workflows together with their purpose, ownership and governance state.
Operate
Keep governance work moving.
Maintain accountable Owners, coordinate Reviews when AI use or context changes, and follow up on requests, actions and governance gaps.
Recommend
Prepare the matters that require judgment.
Bring together the relevant context and prepare a recommended governance action.
Route
Bring decisions to the right authority.
Route matters requiring authorization to the appropriate decision maker in your organization.
Record
Maintain the governance history.
Preserve decisions, conditions, actions and relevant governance records over time.
Less Administration
See what needs you — and what Alterlayer is already handling
Governance work currently being handled by Alterlayer.
Matters requiring information or action from your organization.
Prepared matters requiring client authority.
Governance matters completed during the period.
Signals and observations are triaged before they become governed AI Objects. Each AI Object can then be assigned an Owner, reviewed, subject to decisions and actions, and supported by durable Governance Records as it changes over time.
Observation → AI Item → AI Object → Owner → Review / Decision → Actions → Governance Record → Monitoring / Change
Getting Started
Start with what you know
Managed AI Governance does not require an exhaustive AI inventory before operations can begin.
Alterlayer establishes the minimum operating information needed to start: your organization, known AI estate, ownership, relevant authority and existing governance information.
Documents, structured information and existing records can establish the initial baseline. Additional sources and integrations can progressively enrich it over time.
A managed function — not another governance tool to administer
Not software-only
Alterlayer participates in operating the governance process.
Not fractional staffing
The service is delivered by Alterlayer, with a Named Governance Lead as your primary contact.
Not a transfer of authority
Your organization retains its decisions and governance authority.
Managed AI Governance
Built for organizations that need the function without building the whole function internally
Managed AI Governance is designed for organizations where:
- AI adoption is already happening across the organization.
- Governance responsibility is distributed across existing teams.
- A dedicated AI governance operating team does not yet exist.
- AI governance is often somebody's second job.
Alterlayer does not replace your organization's legal, privacy, cybersecurity, regulatory or other specialist advisers. Where specialist judgment is required, the governance process can identify and route the matter for appropriate review.
Who operates AI governance in your organization today?
See how Alterlayer can help your organization operate ongoing AI governance.
FAQ
What is Managed AI Governance?
Managed AI Governance supplements the same Alterlayer platform and operating model with ongoing operational support, while the client retains decision authority and accountability.
How is Managed AI Governance different from an assessment or consulting project?
An AI Governance Assessment diagnoses the current operating state, gaps and priorities. A consulting project has a defined scope and endpoint. Managed AI Governance continuously operates recurring ownership, reviews, follow-up and governance records as the AI estate changes. Assessment is an entry point; ongoing operation is a separate service.
How does Managed AI Governance extend to AI agents?
AI agents enter the same governance model as other AI Objects. Alterlayer supports ongoing ownership and reviews of agent purpose, delegated authority, access and lifecycle changes, preparing exceptions and escalations for human judgment and preserving governance records. Your organization retains authority over agent decisions and permissions.
What are AI Governance Operations?
AI Governance Operations are the recurring activities required to keep enterprise AI governed over time. They include maintaining governance information and ownership, handling requests and changes, reviewing governance matters, preparing and routing decisions, following up on actions and maintaining governance records.
Is Managed AI Governance the same as AI Governance as a Service?
AI Governance as a Service is a broad market term that can refer to software, advisory services or an outsourced governance function. Alterlayer uses Managed AI Governance to describe an operated service combining software-enabled AI Governance Operations with a Named Governance Lead.
Is Managed AI Governance the same as a fractional AI Officer?
No. A fractional AI Officer typically describes access to an individual for part of their time. Alterlayer provides an operated governance function. A Named Governance Lead is the primary governance contact, but the service is delivered by Alterlayer through its software, operating processes and supporting expertise.
Can Managed AI Governance start without a complete AI inventory?
Yes. Alterlayer starts with the minimum operating information available about your organization, known AI estate, ownership, relevant authority and existing governance information. Documents, structured information and existing records can establish the initial baseline, which can then be progressively enriched.
Does Alterlayer make AI governance decisions for your organization?
No. Alterlayer operates the governance process, prepares governance matters and routes decisions when client authority is required. Your organization retains its governance authority and its responsibility for business decisions.
Supporting governance resources
Understand the work behind the managed service
Enterprise AI Governance
The broader organizational operating model for governing enterprise AI.
AI Governance Operations
The recurring work that Alterlayer operates through the managed service.
AI Ownership
How accountable ownership gives governance work a clear organizational destination.
AI Governance Records
How material governance activity becomes durable operational history.
Enterprise AI Agents
How agent identity, delegated authority and oversight enter the existing governance operating model.