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- AI TechStack
Foundation Layer
- AI-Ready Hardware Refresh (Data Center & Endpoints)
- Upgrade servers, networking, and employee devices to support AI workloads and future automation.
- AI-Ready Software Stack
- Enhance existing tools (email, security, collaboration, CRM) with AI-enabled upgrades and add-ons.
- AI Phone Agent
- Answers calls 24/7, qualifies leads, routes intelligently, books appointments, and captures analytics.
- AI Web Chat & Voice Agents
- Provides conversational AI on your website and internal systems for support, sales, and operations.
Execution Layer
- AI Compliance (Shadow AI Control)
- Identifies how employees are using AI tools and ensures data protection, auditability, and governance.
- Prompt Library
- Standardized, approved AI instructions for departments to drive consistent productivity and measurable ROI.
- Vector Database (AI Knowledge Base)
- Gives AI access to company-specific documents, policies, and institutional knowledge.
- AI Identity + Access + Policy Control
- Manages who can use which AI tools, with role-based controls and data protection policies.
Control Layer
- Data Foundation (Warehouse/Lakehouse + Governance)
- Organizes, cleans, and governs company data so AI can generate accurate and reliable insights.
- Integration & Automation Layer (iPaaS / Orchestration)
- Connects AI agents to CRM, ERP, ticketing, and other systems so AI can execute real workflows.
- Agent Orchestration Control Plane
- Manages multi-step AI agents, tool permissions, task boundaries, and safe execution.
Optimization Layer
- Model Strategy + LLMOps
- Oversees model selection, performance monitoring, cost control, and version management.
- AI Security Layer (Prompt & Agent Security)
- Protects against prompt injection, data leakage, and unauthorized tool usage.
- AI Observability + ROI Analytics
- Tracks adoption, performance, cost savings, and business impact of AI initiatives.
- AI Operating Model + Change Management
- Defines ownership, training, governance cadence, and long-term AI strategy.
- AI Security Stack
Foundational control
- AI Governance Policy
- A written company policy that defines approved AI use.
- Shadow AI Discovery
- Identifies unapproved employee use of AI tools before it creates a data leak or compliance issue.
- Data Loss Prevention for AI
- Prevents employees from entering sensitive business, customer, financial.
- Microsoft 365 / Google Workspace Security
- Protects the collaboration systems where most SMB AI risk begins.
Foundational control
- Identity and Access Management
- Controls who can access AI tools and business data through identity-based security controls.
- AI Tool Approval and Vendor Review
- Creates a simple approve-or-reject process before employees use AI vendors in the business.
- Secure AI Browser Controls
- Monitors or blocks risky behavior in browser-based AI tools and web extensions.
Advanced control
- Approved Business AI Platform
- Gives employees a secure AI option instead of forcing them toward random consumer tools.
- AI Email and Phishing Security
- Protects against AI-enhanced phishing, impersonation, credential theft.
- Endpoint Security
- Secures the devices employees use to access AI tools, business systems, and sensitive company data.
- AI Agent Security
- Controls AI agents, phone agents, chat agents.
Advanced control
- Logging and Monitoring
- Provides visibility into AI use, data movement, file access, AI agent activity, and unusual behavior.
- Incident Response for AI
- Establishes a practical response plan for AI-related incidents before they become customer, legal, or regulatory issues.
- AI Security Training
- Trains employees on safe AI use, prohibited data sharing, AI phishing, prompt safety, reporting, and file handling.
- AI Implementation Framework
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