Responsible AI adoption
Evaluate identity, Microsoft 365 permissions, SharePoint/OneDrive/Teams exposure, information protection, and acceptable-use requirements before expanding AI access.
Controlled AI adoption
AI-Powered Services
Turn AI into controlled productivity gains across Microsoft 365, security workflows, analytics, and customer operations.
ACS identifies practical AI use cases, prepares Microsoft 365 and security-tool controls, and gives teams a governed path to automate repetitive work without exposing sensitive data or creating unmanaged workflows.
AI services
1Assess
2Align
3Set up
4Manage
ReadinessData & access review
AdoptionCopilot support
SecurityAI-enabled security tools
OperationsWorkflow automation
User-ready adoption
Configure Microsoft Copilot and other AI capabilities with practical setup, policy alignment, and user guidance tied to your Microsoft 365 environment and business priorities.
Automate useful work with guardrails
Identify AI opportunities for Copilot adoption, security triage, workflow automation, predictive analytics, customer-experience automation, and decision support while preserving approvals and data controls.
AI creates value when use cases and controls work together.
Prepare permissions and sensitive-data controls before broad AI rolloutSet up Microsoft 365 and security-tool AI features around your environment, users, and data controlsTranslate use cases into clear workflows, reporting, and adoption priorities
AI-powered tools can improve productivity, strengthen security operations, and reduce manual work — but only when the environment is ready. ACS connects AI adoption to identity, endpoint, data, collaboration, and risk-management decisions that already shape the technology environment.
Your organization’s priorities
- Business use cases
- Microsoft plans and available features
- Data owners and decisions
- Risk priorities and policy decisions
ACS operations
- Readiness review
- Adjust settings, workflows, and reports as users adopt the tools and security alerts change
- Security and control alignment
- Administration of the Microsoft 365, email-security, analytics, and workflow tools in use
Microsoft CopilotAI email defenseSecurity analyticsWorkflow automation
The AI readiness gap
01
AI adoption can move faster than governance.
Employees may begin using AI tools before access controls, data handling expectations, approval paths, and acceptable-use practices are clearly defined.
02
Business data needs protection before AI scales.
AI workflows can introduce new questions around sensitive data, permissions, retention, identity, and where information is stored or shared.
03
Useful AI requires more than a tool rollout.
Teams need practical use cases, workflow design, Microsoft 365 readiness, change management, and working models that connect AI to daily operations.
04
Leaders need a controlled path to value.
ACS evaluates AI opportunities, forecasting use cases, customer-behavior signals, operational friction, web/application performance, and adoption paths that align with security, productivity, and governance priorities.
Key capabilities
AI services for productive, controlled adoption.
AI readiness and controls
Evaluate policies, roles, Entra ID and Conditional Access patterns, permissions, SharePoint/OneDrive/Teams exposure, endpoint readiness, and sensitive-data handling before expanding AI access.
Microsoft Copilot support
Planning and setup for Copilot for Microsoft 365 aligned to licensing, user groups, SharePoint/OneDrive/Teams permissions, sensitivity labels where licensed, data exposure, and control needs.
AI email security
Administration of Abnormal Security in Microsoft 365 and Google mail environments to address phishing, impersonation, and account-compromise risk.
Security analytics workflows
Turn alerts and risk signals from connected security tools into clearer investigation paths, prioritized recommendations, and next-step guidance.
Workflow and touchpoint automation
Process automation planning for repetitive tasks, customer touchpoints, decision routes, access, data handling, and operational ownership so teams can reduce manual effort without losing control.
Predictive analytics and value review
Evaluate supported AI-enabled tools, available usage signals, predictive analytics opportunities, trend forecasting, customer behavior signals, relevant security settings, and clear reports for owners and leadership.
Common use cases
Practical AI enablement for operators.
Copilot readiness
Prepare Microsoft 365 controls, data access, collaboration structure, and stakeholder expectations before expanding Copilot use.
Inbox threat reduction
Use AI-enabled email security under ACS administration to detect suspicious messages and route review or response steps to the right owner.
Security alert triage
Use analytics from supported security tools to triage alerts, route them into MDR, SIEM/XDR, vulnerability, or exposure workflows, and prioritize next steps.
Process modernization
Apply automation to repeatable work such as ticket routing, customer touchpoints, reporting, security triage, and web/application performance optimization without weakening controls.
Next step
Ready to make AI useful and controlled?
ACS can turn AI goals into practical work: Copilot readiness, permission review, security triage, predictive analytics, customer workflow automation, and a clear ownership model for what gets deployed.
AI readiness reviewCopilot supportAI-enabled security workflows
