Map current AI use
Inventory tools, workflows, data exposure, staff practices, and policy gaps before writing recommendations.
Practical AI policy, risk review, audit, and governance support for Maine teams that need safe, explainable, and consistent AI use.
AI governance is not only a policy document. For Maine organizations, it is the practical operating system for how staff choose tools, protect confidential information, review AI output, disclose AI use when needed, and escalate higher-risk workflows before harm is done.
AI Impact Maine helps organizations build governance that fits the way they actually work. That may include an AI audit, acceptable-use guidance, tool inventory, vendor review, approval workflows, staff AI training, or guardrails for AI agents that can act on business systems.
The result is a manageable governance roadmap: what to fix now, what to monitor, who owns decisions, and how staff can use AI with confidence.
Inventory tools, workflows, data exposure, staff practices, and policy gaps before writing recommendations.
Create guidance for acceptable use, privacy, review standards, prohibited uses, approvals, and escalation.
Build review rhythms for vendors, new tools, AI agents, staff questions, and changes in business risk.
No. Small teams often need simple rules even more because informal AI use can spread quickly.
Yes. We can review existing guidance, identify gaps, and recommend updates based on actual workflows.
Yes. Vendor review can cover data handling, AI feature settings, contracts, access, retention, and approval criteria.
Training helps staff understand the policy, apply it to real work, and know when to ask for review.
Start with a governance conversation, an audit, or a focused policy review.