Services
AI marketing consulting for leaders who want to adopt AI, scale useful pilots, and transform how their teams work. Engagements combine strategy, implementation, and enablement around your team’s priorities and capacity.
Book a strategy call01
Identify where your team is ready to move, which use cases matter most, and whether the organization has the capacity to absorb change. The result is a focused plan tied to marketing outcomes.
Common outcomes
Readiness and adoption-capacity diagnostic
Use-case scoring and prioritized portfolio
90-day implementation roadmap
02
Redesign priority marketing workflows and build the practical systems that help AI remove friction, improve consistency, and increase useful capacity.
Common outcomes
Workflow mapping and AI-assisted redesign
Reusable AI skills and automations
Pilots, quality criteria, and implementation support
03
Build the skills, confidence, and support marketers need to solve real problems with AI, especially when experience and technical comfort vary across the team.
Common outcomes
Role- and skill-tiered learning paths
Problem-first workshops and coaching
Office hours, champions, and manager reinforcement
04
Turn successful experiments into a discoverable, governed, and repeatable marketing capability with shared standards, clear ownership, measurement, and continuous learning.
Common outcomes
Searchable AI hub and tool registry
Launch, ownership, and review model
Adoption measurement and scaling plan
Working together
I work with marketing leaders at organizations of all sizes. A small team may need one repeatable workflow and practical coaching. A larger department may need shared standards, cross-team ownership, and an adoption system. We scope the work to the problem and the people who will use the result.
My experience includes content operations and systems work at Salesforce, Shopify, and VMware, plus teaching on LinkedIn Learning. Read about my background or explore documented project examples.
Start with a recurring problem that has a clear owner, usable inputs, and a result you can evaluate. Assess the team’s readiness, agree on review standards, and pilot one workflow before expanding. The readiness assessment can help you identify which conditions need attention first.
Assess your team’s readinessMake the practice usable by someone other than its creator. Document its inputs, review criteria, owner, support path, and results. Expand to another team when you have evidence that quality and usefulness hold up in that team’s work.
Read the guide to scaling AIYes. The amount of structure should match the work. A small team can begin with a shared workflow, a named reviewer, and a short record of what works. Larger teams often need more coordination across roles, policies, and systems.
Read the adoption guideLook for experience with the workflows you need to improve, a clear approach to evaluating outputs, and a plan for helping your team use and maintain the result. Ask how the work will connect to a business outcome, who will own it, and what evidence will inform the next decision.
See examples of my workAgree on a baseline before changing the workflow. Track completion time, quality, review effort, useful adoption, and the marketing outcome the work supports. Use those findings to decide what to improve, expand, or stop.
Read about measuring AI outcomesThe readiness assessment will identify the part of your marketing team's AI capability most likely to limit progress.
Assess your team's readiness