Managed AI Services for Greater Houston Businesses

We start by finding out what is actually happening. Which AI tools are in use, who is signed in with a personal account instead of your tenant, where your Microsoft 365 permissions are overshared, and what data would be exposed the day you switch Copilot on for everyone. The output is a scored readiness report with a remediation list ranked by exposure, not a generic maturity grid. Most environments need sharing and permission cleanup before any assistant should be enabled broadly.

A short approved list beats a long banned list. We evaluate the assistants your teams actually want against your data, your client contracts and your regulators, then publish a catalogue that says approved, restricted or prohibited, and why. We manage the licensing behind it: which Microsoft Copilot SKU genuinely fits, which users need a paid seat versus the Copilot Chat tier already included with your subscription, seat reclamation for people who stopped using it, and a review of the AI vendor agreements you already signed.

Plain language, one or two pages, and specific. It names tools, names data classes and names the person to ask. It covers what may be pasted where, when AI output must be reviewed by a human before it leaves the building, how contractors and personal devices are treated, and the industry lines you cannot cross. We tie it to onboarding and revise it on the same quarterly cadence as everything else, because a policy nobody remembers is not a control.

This is where the real work is. Microsoft Copilot only surfaces content a user already has permission to open, and Microsoft states that prompts, responses and Microsoft Graph data are not used to train its foundation models. That is a permissions mirror, not a filter, and it will not protect you from your own oversharing. So we tighten the specific knobs: SharePoint site and link-level sharing, Entra guest expiry, Purview sensitivity labels and auto-labelling, DLP for generative AI endpoints, and Restricted SharePoint Search during rollout.

Discovery is not a one-time sweep. New assistants ship monthly and browser extensions arrive without asking, so we keep looking across identity logs, network and endpoint signals, browser telemetry and licence records. The pattern that matters most is personal-account use. Cyberhaven's 2026 AI Adoption and Risk Report found roughly a third of AI usage runs through personal accounts, which bypasses your single sign-on, your logging and your retention. That is an identity problem, and we treat it as one.

Copilot prompts and responses are retained as activity history and are discoverable through Purview and Content Search. We turn that from a liability into evidence: who is using what, which departments got real value, which policies were tripped, which agents and connectors were requested. It lands as a quarterly review pack you can hand to a client running a vendor assessment, or to an insurance broker, who since January 2026 has standard-form endorsements available (CG 40 47, CG 40 48, CG 35 08) that exclude generative AI liability from a general liability policy.

Generic AI training does not change behaviour. We run short, role-specific sessions: what a bookkeeper may put in a prompt, what a clinical or HR user must never, how an engineer should treat a drawing held under a client NDA, how anyone checks output before it reaches a customer. We name a champion in each department so questions have a local answer, and we refresh the material as features land, because the tool your staff learned in March is not the tool they use in September.

Someone will eventually paste the wrong thing. We write the runbook before that happens and we run it when it does: contain the account and revoke active sessions, capture exactly what was submitted and to which service, determine whether that service retains or trains on it, preserve the audit evidence, then assess whether it is a reportable disclosure, a contractual notification or neither. Automated monitoring runs continuously; people are available business hours, with after-hours emergency response for incidents like these.