For marketing teams becoming AI-native
I help marketing teams become AI-native: I train the people, redesign the workflows, and build the AI systems your team actually uses. People stay in the decisions.
Who it’s for
Marketing leaders building AI-native marketing teams. Your team already uses AI in a chat window, and the work still stalls between the steps. You want workflows your people can run and review, grounded in your brand and business context, with a named owner on your team.
The Viable Edge’s AI-Native Marketing Team Framework
Five steps, in order, for every engagement.
- Step 1
Diagnose
Map the work and choose where AI earns its place. It always comes first, and it is lighter for a small team.
- Step 2
Ground
Bring together the context the work depends on: brand and business context, sources, examples and standards. A knowledge base can help; it is not required.
- Step 3
Build
Wire the workflow to the tools your team already uses, and test it on real work.
- Step 4
Train
Train on real work, per build, so every system ships with a trained owner on your team.
- Step 5
Review
Check what is used and what changed. You decide what to expand.
People stay in the decisions. It is a standing rule, not a step. We agree the approval steps before the build starts, and anything that would publish, send or spend waits for a named person on your team to approve it.
What we don’t do
- We aren’t a generic prompt-engineering training company. Training happens on the team’s real work.
- We don’t believe AI adoption means handing everyone a chat tool. It means redesigned workflows and grounded systems.
- We don’t deploy autonomous agents without human review and permissions.
- We don’t produce your content for you. We build the system and teach your team to run it.
Three ways to work together
Implementation and private team workshops are for teams. Individual mentorship is for one person working on their own projects.
Implementation
Start with one marketing workflow. I work with your team on discovery, context, system design, hands-on implementation, testing, training and handover, including custom AI agents where they fit.
Private team workshops
Half-day and full-day sessions for your company, built around real work. A workshop can be a standalone engagement.
Individual mentorship
Live 1:1 working sessions on your own projects, for people who want to build skills they keep using.
What I can show you
First-hand examples, described within what I can evidence. Results depend on the workflow and the team, so I don’t promise time saved or revenue.
From reporting to reviewed content
A client workflow brings organic performance reporting and a shared content store into one process. Data and business context inform a brief; drafts carry that context forward into human review. The work has clear sources, and the team can resolve gaps before preparing content for publishing.
- Performance data
- Source-backed brief
- Context-informed draft
- Human review
Example drawn from client delivery. Details are simplified and anonymized. This illustrates workflow capabilities, not a claim about revenue or time saved.
From a past build
“Adam helped me develop a system that allowed me to significantly increase my output with quality content that aligns with our brand and voice. Adam is a great partner and helped every step of the way.”
Start with one workflow
Share a general example of what is taking too much time or creating rework. I review every submission before offering a call.