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AI — Advisory & Implementation Healthcare Systems Microsoft M365 & Azure Healthcare Data Integrity
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A Chesapeake Systems Platform

Eagle AI Command Center: one pane of glass for enterprise AI.

Utilization, cost, ROI, shadow-AI detection, PII/PHI protection, and roadmap tracking — built Azure-native, deployed in your tenant, so no data ever leaves your environment.

EAGLE AI UTILIZATION COST & ROI RISK & COMPLIANCE ROADMAP
What it delivers

Five capabilities. One dashboard.

Every AI tool in the enterprise becomes visible, governed, and measured.

01

AI Utilization Telemetry

Usage data pulled from every enterprise app using AI — who, what, and how much. Requests, tokens, active users, top use cases, and adoption trends by app, team, and user.

02

Sanctioned Model Usage

Claude and OpenAI GPT via Azure — every call identified, logged, metered, and charged back through one AI gateway. Models, use cases, tokens, and cost per team, per month.

03

Shadow AI + PII/PHI Guard

Detect Gemini, consumer ChatGPT, and any AI used outside Azure — and know if sensitive data touched it, flagged by user, app, and data type.

04

Financial Governance

Monthly cost per tool, license utilization of every paid AI — surfacing shelfware and negotiation leverage — and ROI computed per initiative, refreshed monthly.

05

AI Roadmap Tracker

Every initiative tracked with phase, cost, ROI, teams, and status — with drill-through to architecture diagrams, project docs, and blockers.

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Built Azure-Native

APIM, Purview, Defender, Sentinel, Fabric, and Power BI — Microsoft’s certified stack, no bolt-on platforms, deployed inside your tenant.

Works with your stack

Not Azure end-to-end? Doesn’t matter.

Every tool category below can feed discovery — whatever the vendor. All signals land in the command center built in Azure, inside your environment. No data leaves your tenant.

DNS security

The first tripwire — every AI session starts with a lookup. Cisco Umbrella, Infoblox, Cloudflare Gateway, Azure Firewall DNS.

NGFW with TLS inspection

Sees destination, volume, and decrypted content. Palo Alto, Fortinet, Check Point, Azure Firewall Premium.

SSE / Secure Web Gateway

Inline gen-AI app control, coaching, and DLP for roaming users. Zscaler, Netskope, Prisma Access, Cloudflare One.

CASB / SaaS discovery

Classifies and risk-scores discovered AI apps from any log source. Defender for Cloud Apps, Netskope, Skyhigh.

DLP — network & endpoint

Flags PII/PHI in uploads, pastes, and prompts. Microsoft Purview, Forcepoint, Symantec, Netskope DLP.

Endpoint & browser

Off-network visibility; paste and upload control on the device. Defender for Endpoint, CrowdStrike, Island, Chrome Enterprise.

The experience

Built for the way leadership actually works.

Four views, one console

Utilization (adoption by app, team, model), Cost & ROI (spend per tool, license utilization, ROI leaderboard), Risk & Compliance (shadow-AI apps found, PII/PHI incidents, open alerts), and Roadmap (initiative cards with phase, status, and doc links).

The right view for every role

Row-level security in Power BI — executives see everything, team leads see their own scope. Alerts push to Teams and email the moment a threshold trips: a spend spike, a new shadow-AI app, a PII incident.

Getting to live

Value flowing in four weeks. Full platform in sixteen.

Foundation + Gateway

Landing zone, tagging standard, and Log Analytics stand up first. The APIM AI gateway goes live for Azure OpenAI and Claude — and the first utilization data starts flowing within four weeks.

Shadow AI + DLP

Defender Cloud Discovery ingests your network logs; Purview PII/PHI policies and DSPM for AI come online; Sentinel alerting connects. The critical controls are now live.

Command Center v1

Fabric pipelines and the semantic model feed the first Power BI dashboard — utilization, cost per tool, and the shadow-AI panel, in production.

ROI + Roadmap

The roadmap tracker loads with your actual initiatives, the monthly ROI intake process starts, alerts wire to Teams, and row-level security rolls out to executives and team leads.

Full technical requirements — subscriptions, licensing, networking, and compliance — available on request.

Visibility. Governance. ROI.

Deployed in your Azure tenant, watching every AI you run — sanctioned, shadow, and embedded. Let’s put it on your data.