DCS Data Residency and AI Control Assessment

Start with evidence, not assumptions.

DCS connects to Microsoft 365 and Google Workspace environments in read-only mode, collects configuration and policy metadata, evaluates cost, AI exposure, and token-spend signals, and produces an evidence-based roadmap toward data-resident, customer-controlled alternatives.

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Why it matters

Data-resident is not the same as customer-controlled.

Many organizations believe their data is "in country" because a cloud provider offers data-resident hosting. That is only part of the story. Sensitive data, metadata, indexes, backups, logs, support artifacts, administrative access, third-party integrations, and AI outputs can still depend on vendor-controlled evidence and operating models.

Ideal first pilot

Built for practical governance conversations.

The first ideal pilot is a municipality, public agency, school board, healthcare-adjacent nonprofit, professional services firm, Indigenous or community government, regulated nonprofit, or similar organization already using Microsoft 365 or Google Workspace.

Connector architecture

Read-only collection. Evidence model. Control roadmap.

Microsoft 365
Graph, Exchange, SharePoint

Google Workspace / Cloud
Directory, Policy, Reports

Manual Evidence
Contracts, screenshots, CSVs

DCS Assessment Connector
Read-only metadata collectors

Normalize

Evidence Register

Score + Flag

Executive PDF

Heat Map

30/60/90 Roadmap

What the assessment covers

Residency, control, cost exposure, AI exposure, and migration priority.

Microsoft 365 tenant data-location evidence Google Workspace data-region policies Users, mailboxes, sites, drives, groups, and OUs Privileged administrators and standing access License, cloud, storage, and AI cost exposure Third-party apps, OAuth grants, and service accounts AI exposure and governance gaps AI token-spend and usage-control findings Exception list by workload and data category 30/60/90-day DCS pilot roadmap

Deliverables

Executive PDF report

Clear findings, scorecards, heat maps, exceptions, and leadership-ready recommendations.

Evidence register

CSV and JSON records with source, timestamp, confidence level, and raw-reference hash.

Cost and AI exposure model

Candidate savings, token-spend signals, and AI usage boundaries for leadership discussion.

DCS pilot scope

A practical first board workspace, private AI assistant, secure data room, or coexistence pilot grounded in evidence.

Sample deliverable

Sample assessment report.

A sample report that uses fictional tenant data with real Microsoft 365, Azure, Google Workspace, Google Cloud, and AI service categories. It demonstrates the evidence model, flags, charts, heat map, cost findings, and 30/60/90 roadmap.

Sample PDF report