TEAM ENABLEMENT
The next-decade org chart has no junior tier. Everyone is an IC, multiplied by AI.
Hands-on AI enablement that turns marketers, ops, sales, and managers into self-sufficient builders. The org chart of the next decade has no junior tier - everyone is an IC, multiplied by AI.
Why it matters
The case for doing this now.
AI productivity gains don't come from buying licenses. They come from people learning to delegate the right work to the right model - and most teams have ChatGPT open with a manual process running in the next tab, because nobody showed them where the leverage actually lives. The result is the worst of both worlds: another SaaS bill and the same headcount-bound throughput.
We embed with your team, ship a real workflow alongside them in the first week, and leave behind playbooks, prompts, and confidence - not a slide deck. The output is a team where the marketer ships their own dashboards, the ops manager builds their own automations, and the senior engineer focuses on the things only they can do.
What’s included
How we ship this.
Week 1 - Map and ship one
We audit each role's week, pick the highest-leverage workflow, and ship it together. Day-one proof that the team can build, not just consume.
Weeks 2–4 - Workshops by role
Targeted hands-on sessions per function. Everyone walks out with at least one workflow, prompt pattern, or internal tool they own.
Weeks 5–8 - Office hours and adoption
Weekly working sessions, a shared prompt library, and adoption metrics per role. We track time saved and output shipped - not seats activated.
Handover - Internal champions
We leave behind a small internal cohort trained to run the playbook themselves, plus the dashboards to keep the program honest after we're gone.
Data points
The numbers behind the case.
Sources are linked beneath each number. Items marked typical range come from our own engagements rather than a published study.
75%
of knowledge workers now use AI at work - most without formal training
78%
of AI users bring their own tools to work - outside any IT or training program
~2×
task throughput in controlled developer studies using AI assistants
+14%
average productivity gain in customer support; +34% for novices when given an AI assistant
<4 wk
typical time to AI-fluent across a non-technical team after a structured program
typical rangeWhat we've seen
Where this shows up
What this looks like in practice.
A 30-person services team with one senior engineer doing all the automation
After a four-week program, marketing was building their own briefs and reports, ops shipped two automations, and the engineer's queue dropped by ~60%. The same headcount produced what would have needed two more hires the prior year.
Representative engagement
A founder-led team where AI was 'used' but unevenly
We mapped per-role workflows, ran weekly office hours, and stood up an internal prompt library. AI usage moved from a few power users to the whole team, and the founder stopped being the bottleneck on first drafts.
Representative engagement
Next step
Make every teammate a builder
Tell us what your team looks like today and what you wish each role could ship on their own. We'll come back with a program - by role, by week - and the first workflow we'd build alongside them.