Solutions
GenAI Workspace
Secure generative AI for your organization. All the power, none of the risk.
Your Employees Are Already Using AI — You Just Can't See It
75% of knowledge workers use AI tools at work — often without IT's knowledge or approval. They're pasting customer data into ChatGPT, uploading contracts to free AI services, and sharing proprietary information with tools that may train on their inputs. This shadow AI creates invisible risk. The answer isn't to ban AI — it's to give people a secure, managed workspace where they can use AI productively without putting the business at risk.
Managed AI, Measurable Results
Enterprise AI with governance built in from day one
Workers Use AI
Most without IT visibility
Shadow AI Risk
Full visibility into AI usage
DLP Coverage
Sensitive data never leaves
Productivity Gain
Measured across deployed teams
Enterprise AI That IT Can Trust
🔒 Private Deployment
AI runs in your own Azure environment with private endpoints. Your data never leaves your security perimeter and is never used for model training.
🛡️ DLP Controls
Data Loss Prevention policies prevent sensitive data from being shared with AI tools. Sensitivity labels, content inspection, and automated blocking protect your data.
📊 Usage Analytics
Complete visibility into how AI is used across your organization. Track adoption, identify power users, measure productivity gains, and spot misuse.
🆔 Access Controls
Role-based access to AI capabilities. Control who can use which models, what data they can access, and what actions they can take.
📝 Prompt Library
Curated, approved prompt templates for common business tasks. Ensure consistent, high-quality AI outputs across departments.
📚 Training & Enablement
Structured training program that teaches effective AI use while reinforcing security policies. Role-specific modules for different departments.
Shadow AI vs. Managed AI Workspace
When employees use consumer AI tools without governance, your organization has zero visibility into what data is being shared, no control over outputs, and no audit trail for compliance. A managed GenAI Workspace gives employees the AI tools they want with the controls IT needs.
- ✅ Approved Tools — Give employees AI they're allowed to use
- ✅ Data Boundaries — DLP prevents sensitive data leakage
- ✅ Audit Trail — Every interaction logged and reviewable
- ✅ No Model Training — Your data is never used to train AI
- ✅ Productivity Gains — Measured and reported to leadership
Managed AI Stack
- 🤖 Azure OpenAI — Private LLM Endpoints
- 🔐 Entra ID — Identity & Access Control
- 🏷️ Purview — DLP & Sensitivity Labels
- 📊 Copilot Analytics — Usage Dashboard
- 🛡️ Defender — Threat Protection
- 📋 Compliance Manager — Governance
From Shadow AI to Managed AI in Weeks
Assess
Audit current shadow AI usage, identify high-value use cases, and assess your data governance readiness
Deploy
Stand up private AI infrastructure, configure DLP policies, and establish access controls
Enable
Train employees on the managed workspace, deploy prompt libraries, and begin phased rollout
Govern
Monitor usage, measure productivity, refine policies, and expand to additional departments
Frequently Asked Questions
What's the difference between this and Microsoft Copilot?
GenAI Workspace can include Microsoft Copilot but goes beyond it. We provide the governance layer, DLP policies, training, usage analytics, and custom AI applications that make Copilot safe and effective for your organization. Copilot is a tool; GenAI Workspace is the managed program around it.
How do you prevent employees from using unauthorized AI tools?
Through a combination of DLP policies, web filtering, Conditional Access rules, and endpoint controls. We block access to consumer AI services while providing a better managed alternative. Employees use the managed workspace because it's actually easier than the shadow alternatives.
Can we control which departments get AI access?
Yes. Role-based access controls let you enable AI for specific departments, teams, or individuals. You can also control which AI capabilities each group gets — some teams may get full generative capabilities while others get only specific approved workflows.
How do you measure ROI on AI investment?
Our analytics dashboard tracks adoption rates, usage patterns, time savings, and productivity metrics. We work with your leadership to establish baseline measurements and report on productivity gains quarterly. Most organizations see 30%+ improvement in targeted workflows.
What about industry-specific compliance requirements?
GenAI Workspace supports compliance with HIPAA, SOC 2, CMMC, CPRA, and other frameworks. We configure DLP policies, access controls, and audit logging to meet your specific regulatory requirements. Compliance documentation is included.
Give Your Team AI They Can Actually Use
Stop fighting shadow AI. Start enabling managed AI. Get a free GenAI readiness assessment and see how your organization can harness AI safely.