AI Managed Services
Most providers sell AI hype. We sell AI control: find what your employees already use, secure it under HIPAA and Reg S-P obligations, then deploy the AI assistant your team actually wants, Copilot, ChatGPT Enterprise, or Claude Enterprise, plus custom AI where it actually pays.
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Shadow AI is the use of AI tools by employees without IT approval, governance, or logging: patient summaries pasted into free chatbots, client portfolios uploaded to personal AI accounts, meeting recordings transcribed by unvetted apps. It leaves no trace in traditional security tooling, which is why most leadership teams discover it only after the data is gone. Governance has to come before deployment, because you cannot secure what you have not found.
A unique survey link goes to your employees anonymously. No firewall logs to request, no DNS exports, no awkward conversation with your current IT provider. In days, you see exactly which AI tools are in use across your organization and where sensitive data is most exposed.
Start the SurveyThree Service Packages
Every engagement maps to one of three packages. Most clients start with governance and graduate forward.
Discover, control, and monitor AI usage across your organization, on the stack you already run. Microsoft environments: Purview, DSPM for AI, sensitivity labels, and Defender for Cloud Apps, covering Copilot and third-party AI like ChatGPT and Claude under one governance plane, with a Standard track for E3 and Business Premium using our toolkit and structured monitoring. Google Workspace environments: Workspace DLP, context-aware access, audit logging, and Gemini governed under the Workspace agreement, with browser-level controls for third-party AI. Same discipline, matched to your stack.
Licensing strategy, data readiness, and permission hygiene before rollout, then governed deployment of the AI assistant that fits your team: Microsoft Copilot, ChatGPT Enterprise, or Claude Enterprise. We handle vendor selection, BAA and compliance due diligence, role-based training, and adoption management. Deployment without governance is how AI incidents happen. We sequence it correctly.
Purpose-built AI applications for workflows off the shelf tools cannot reach: intake automation, document processing, client communication, and internal knowledge systems, built and operated under your compliance requirements.
Seat-Based Tiers
Simple per-user pricing layered onto your existing agreement. No separate AI contract, no surprise project invoices.
+$8 per user / month
+$20 per user / month
Full monitoring depth depends on your platform and licensing. Microsoft environments reach deepest control with E5 or Purview Suite; Google Workspace environments use Workspace-native controls plus browser-level DLP. We model your exact path, with real costs, inside the AI Readiness Assessment. Nothing is required before the assessment.
Start With the Assessment+$45 per user / month
Custom agents can also be priced per agent as a flat monthly fee instead of per user. We scope this in your assessment.
Start With the AssessmentLicensing note: Microsoft 365 pricing changes took effect July 1. If your renewal lands in the next two quarters, your licensing plan should be decided before it renews, not after. We will model it for you inside the AI Readiness Assessment. Google Workspace clients: the same assessment models your Workspace edition and AI controls; no Microsoft licensing is involved.
Built for Regulated Data
PHI cannot train someone else's model. We map AI data flows against HIPAA obligations, control them with sensitivity labels and DLP, and document everything for your Security Risk Analysis.
Client data in unmanaged AI accounts is a service provider oversight failure waiting for an examiner. Our governance evidence slots directly into your Reg S-P and GLBA documentation.
Quarterly AI exposure reports in plain language: what is in use, what changed, what was blocked, and what to decide next. Board-ready, not log files.
Straight Answers
More AI governance and shadow AI guidance on our Insights hub.
Govern first. Deploy second. Prosper third.
The AI Readiness Assessment is the entry point for every AI engagement we run. Findings in plain language, roadmap with priorities, yours to keep.