Summary
A practitioner meetup on rolling out AI beyond the engineering org—what actually drives adoption across GTM, marketing, and post‑sales when you wire real tools into real workflows.
Why it matters
Most token spend comes from day‑to‑day workflows, not demo prompts. Events like this are useful because they surface the messy adoption layer: permissions, tool contracts, enablement, and the guardrails that prevent “AI everywhere” from becoming “AI chaos.”
Tokenmaxxing angle
Tokenmaxxing at the company level is governance: budgets, eval gates, and observability for every repeated workflow. The goal is measurable outcomes per token—fewer retries, smaller contexts, and tighter tool scopes—so adoption scales without runaway spend.
Source takeaway
Go for practical patterns on org-wide rollout (MCP/tooling, training, and measurement) from teams already deploying AI across functions.