Your AI Tools, Supported
and Used Well
Own your AI. Don't rent it.
How It Works
AI is now a business application, and it needs the same lifecycle discipline as your email. ManagedAI is that discipline: the accounts, the licenses, the apps, the policy, and the training — run for you on top of the environment we already manage.
Who runs it
The team that already
runs your systems
Your AI platforms get administered like every other business application you rely on — by the same service desk and engineers, inside the same tenant.
What that means in practice
Every account is accounted for. Access is tied to your directory, so joiners get set up on day one and leavers lose AI access the moment they lose email.
Someone answers when AI breaks. The app will not launch, the login fails, the seat is wrong — it goes to the same service desk as everything else.
The spend and the usage stay visible. Seats, tiers, and which tools people actually use get reported in your business review instead of discovered on an invoice.
And it runs on a rhythm, so adoption never gets ahead of the guardrails
Every day
Support and administer
Logins, seats, app installs, and user changes handled as they come in.
Every quarter
Train and report
Fluency webinar, license position, and shadow AI reporting in the business review.
Every year
Review the policy
Your AI use policy revisited and reissued as the tools and the law change.
Supported Platforms
ChatGPT
OpenAI
Claude
Anthropic
Copilot
Microsoft
Administered inside your own tenant — the accounts and the data stay yours.
What Is Included
Identity and access
- SSO integration maintained as your tenant changes
User lifecycle
- Adds, changes, and removals
- Standard AI setup folded into new-hire onboarding
Deployment and support
- Desktop and mobile app deployment to new machines as they roll out
- Service desk access for AI application issues
Licensing
- Seat administration, tier changes, and true-ups
- Consolidated license and cost inventory across providers
Visibility
- Base shadow AI reporting
- Users, seats, and license position reported in the business review
Policy maintenance
- Annual AI use policy review and reissue
Quarterly AI Fluency Webinars
New features, what changed, and what your people should know — every quarter, for ManagedAI subscribers only.
Deeper training, when you want it
Onsite training comes with AI Tool Rollout and Onboarding.
Open office hours come with SecureAI.
What is not included
So the line is clear before you sign anything.
Lifecycle automation, security, governance, and connector repair live in SecureAI. Configuration work is scoped as a project.
Where ManagedAI Fits
Assess, decide, deploy, then run — inside the AI Enablement Framework. Each one-time service produces the input the next one needs. The two recurring services keep it from decaying.
The ongoing advisory layer — Chief AI Officer, or AI as a Service — lives in AI Enablement and CxO Services.
SecureAI
Everything in ManagedAI, plus governed, monitored, and provable. You wrote the policy — this is what makes it true.
ManagedAI
Run, supported, and used well.
SecureAI
Governed, monitored, provable.
What Layer Two adds
Detection and response
- AI detection and response across users, browsers, apps, and devices
- Shadow AI discovery and remediation, not just reporting
- Anomalous usage and credential exposure detection
- AI events into the SOC with a defined response path
Control
- DLP over the AI workspace: what data can enter a prompt, where outputs can go
- Sanctioned tool enforcement
- Data residency and retention configuration
- Agent and automation governance as those get deployed
Exposure management
- Connector, integration, and API key inventory with continuous monitoring
- MCP and third-party connection exposure review
- Permission drift review on the systems AI can reach
- Break/fix on existing connectors and integrations
Evidence and posture
- Logging and audit evidence assembled continuously
- AI use policy enforcement and maintenance
- AI controls mapped to your compliance obligations
- Monthly AI usage and risk report
- Quarterly posture re-score against the readiness assessment
Lifecycle and maintenance
- Group and role mapping to AI platform seats
- Workspace and conversation offboarding at termination, so data does not walk out
- Version updates and patching, where the platform allows it
The Loop Closes
The score that started the program is the score that proves it is working. Every quarter we re-score your posture against the same assessment, so progress is a number, not a claim.
Same score, every quarter
Let's Get Your AI Under Management
We already run the environment underneath it — identity, devices, network, and data. AI governance is not a new practice bolted on. It is the same discipline extended to a new class of application.