Microsoft 365 Copilot is transformative — and risky if deployed into an unprepared tenant. Overshared files, misconfigured permissions, and missing sensitivity labels create a data exposure surface that Copilot will happily surface to anyone who asks. We close those gaps first.
Before Copilot touches your data, we ensure your tenant is configured to give AI the right guardrails.
We audit your SharePoint, OneDrive, and Teams environment to identify overshared content, excessive permissions, and orphaned sites. You'll receive a risk-ranked report with remediation priorities before Copilot sees a single file.
Design and deploy a sensitivity label taxonomy aligned to your business data types. Labels enforce encryption, access controls, and visual markings — ensuring Copilot can only work with data users are permitted to see.
Close the oversharing gaps that make Copilot dangerous. We scope site access, audit external sharing settings, review guest access, and implement least-privilege access controls across your M365 environment.
Once the foundation is secure, we help you build purpose-built AI agents that automate real workflows — connected to your data, governed by your policies.
We design and deploy declarative or autonomous agents tailored to your specific workflows. Whether it's an internal HR bot, a client intake assistant, or a document summarization agent — we build it on your data, inside your tenant, with your governance policies applied.
Combine Copilot Studio agents with Power Automate flows to build end-to-end automated workflows. Trigger actions in M365, Dynamics 365, or external systems — all within your governed environment.
Technology only delivers value when people know how to use it — and how to use it safely.
A hands-on session teaching your team how to get real value from Microsoft 365 Copilot. We cover effective prompting across Word, Excel, Teams, Outlook, and PowerPoint — with examples built around your actual work scenarios. Delivered virtually or on-site.
We draft or review your organization's AI Acceptable Use Policy — covering what Copilot can and cannot be used for, data classification requirements, output review expectations, and escalation paths. Tailored to your industry and regulatory context.
Let's start with a readiness assessment. We'll tell you exactly where you stand before you flip the switch.
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