AI program management for 100–1,000 FTE companies who want real, everyday impact from GenAI and automation.
Review where your program is stuck and leave with a 30 day plan.
What We Do
Done-With-You AI Sprint
Who it’s for
VP IT or VP Operations at 100–1,000 FTE companies.You have AI licenses or pilots, but day-to-day usage is low or inconsistent.What happens in 2–3 weeks
Rapid assessment of tools, workflows, adoption, and risks.Focused workshops to surface high-value, low-risk use cases.
90-day execution plan with clear owners and milestones.What you get
AI adoption assessment and gap summary.Prioritized use case roadmap tied to business outcomes.90-day plan plus a starter “knowledge playbook” for your AI tool stack.Investment: $9.5K for a 2–3 week sprint.
Embedded AI Program Leadership
Who it’s for
You need a dedicated owner for AI and automation programs.You are not ready to hire a full-time leader.How it works
1–2 days per week as your AI program lead.Own the backlog, roadmap, and delivery cadence.Coordinate HR, Operations, IT, and vendors so projects don’t stall between teams.What you get
A single accountable owner for AI and automation programs.A living roadmap and operating rhythm your teams can follow.Dashboards that track adoption, cycle time, and impact.Investment: $10.5K–$15.5K per month, depending on scope and intensity. Limited slots to ensure deep involvement with each client.
Executive Advisory & PMO Support
Who it’s for
You already have internal teams or vendors executing.You want senior guidance on roadmap, governance, and risk.How it works
2–4 high-impact working sessions per month.Review and refine plans, metrics, and vendor work.Asynchronous feedback on decks, roadmaps, and key decisions.What you get
A senior AI and program management partner “on call” for your most important decisions.Clear direction on priorities, risks, and tradeoffs.Practical advice grounded in what has worked in similar organizations.Investment: $5K–$8K per month, based on cadence and scope.
The "USE" Framework
Most teams start with prompts. USE starts with the work.
Step 1: Unpack the Work
Define what “good” looks like before anyone touches a prompt. Clarify workflows, constraints, and what “done” actually means. Turn vague requests into simple checklists for AI and humans.
Step 2: Set the Context
Share the minimum effective context: background, systems, definitions, and rules. Pull examples of great work from your best people. Save this context into templates your teams can reuse across tools.
Step 3: Evaluate Output
Iterate with clear “keep / change / add / remove” feedback. Involve subject matter experts early to set the quality bar. Save winning prompts and examples into a shared playbook so quality scales.
| Big Tech Expertise. Small Business Agility. |
|---|
| Tax & Legal Automation: Delivered an NLP chatbot that reads complex tax law and summarizes it for attorneys, speeding up case workflows. |
| HR Tech Savings: Conducted an HRIS audit that identified about $800K in savings by closing gaps and fixing broken processes. |
| Ops Speed: Managed a 50-project portfolio and gave leadership instant visibility with simple Kanban boards and Power BI dashboards. |
| Data Integration: Built “set it and forget it” automations with tools like Zapier and Monday.com so workforce data moves without manual entry. |
| Battle-Tested: Led generative AI and program management initiatives at alliantgroup, Valorem Reply, and Sia Partners. |
Let’s fix your AI program.
If you’re a VP IT or VP Operations at a 100–1,000 FTE company and your AI program is stuck at the “license rollout” stage, Mile High PM helps you turn tools into everyday workflows and measurable results.The first step is a 25-minute AI Program Triage Call to understand where you are, where you want to be in the next 90 days, and how we can work together to get there.