AI Consulting

We help colleges and universities turn AI curiosity into systems their teams can actually run, grounded in your committees, your constraints, and your people. The work is structured, phased, and built around your reality, not a generic playbook.

How the work unfolds

Most engagements begin with a focused first phase you can review with leadership before going deeper.

1. Leadership alignment & assessment design. We get your leaders on the same page: the capacity challenge, the role AI can play, the guardrails your policy requires, and what success looks like.
2. Workflow & process inventory. Before evaluating AI, we make the work visible, focusing on high-volume, manual, multi-system, and bottleneck-prone processes. We build on your existing documentation, not from scratch.
3. AI opportunity & risk assessment. Each workflow is scored on student impact, capacity gain, data sensitivity, privacy, feasibility, risk, and policy alignment, separating quick wins from areas to leave alone.
4. Prioritization & roadmap development. We prioritize by value to students, capacity gained, and responsible risk, then turn it into a phased roadmap with clear starting points and decision gates.
5. Communication & change management. AI adoption affects people and trust. We help you bring staff into the process and make the goal clear: reduce administrative burden, not replace people.

What you walk away with

Not a vague sense that “AI could help,” but a concrete, defensible plan your team and your governance partners can stand behind.

• A clear picture of where AI fits. The processes that are strong candidates for AI support, the ones that aren’t, and the risks to manage in between.
• A roadmap to get there. A prioritized, phased plan: what to pilot first, what to revisit later, the approvals and data considerations involved, and how you’ll measure success.