AI Policy Template for Mid-Market Companies
Built for 50-500 employees
Mid-market companies face a governance paradox: big enough to have real AI risk, but too lean for a dedicated compliance department. Departments adopt different tools, set different rules, and create gaps that auditors will find. A structured policy framework brings alignment without bureaucracy.
Policy Needs for Mid-Market Companies
- Scalable policy framework that grows from department-level pilots to company-wide rollout
- Cross-departmental coordination rules so marketing, engineering, and operations align on AI usage
- Procurement guardrails for evaluating and onboarding new AI vendors at mid-market budgets
- Training and certification requirements that keep pace with rapid headcount growth
- Board and leadership reporting templates that translate AI risk into business terms
- Integration clauses covering how AI tools connect to existing CRM, ERP, and HRIS systems
Key Clauses to Include
- 1Departmental AI OwnersAssign a named AI policy owner in each department who is accountable for tool inventory, usage compliance, and escalation within their team.
- 2Vendor Risk TieringClassify AI vendors into risk tiers based on data access level, and require proportional due diligence for each tier before contract signing.
- 3Cross-Functional Review BoardEstablish a quarterly AI review board with representatives from legal, IT, and business units to evaluate new use cases and policy exceptions.
- 4Employee Training CadenceRequire all employees to complete AI-awareness training within 30 days of hire and annually thereafter, with role-specific modules for heavy users.
- 5Escalation and Exception ProcessDefine a clear path for requesting policy exceptions, including who approves, what documentation is required, and how decisions are recorded.
What Generic Templates Miss
- Generic templates lack multi-department coordination mechanisms, leaving mid-market companies with siloed and conflicting AI rules
- Standard policies either target startups with no process or enterprises with dedicated GRC teams, missing the mid-market middle ground
- Boilerplate training sections assume a learning-management system is already in place, which many mid-market firms have not yet deployed
PolicyGuard gives mid-market teams a scalable governance framework with department-level ownership and cross-functional visibility. Start a free trial and unify your AI policy today.
