AI GTM Transformation
An AI agent that triages the marketing-ops request queue
Shipped a Slack-based AI agent that triages and resolves inbound marketing-ops requests on an extensible skill framework, deflecting routine questions away from the ops team.
Late-stage B2B SaaS · distributed marketing team
3–5 hrs/day
Team time reclaimed
Extensible
Skill framework
Tier-1
Requests auto-resolved
Context
In a distributed B2B SaaS org, marketing ops had quietly become the team’s help desk. Requests and “quick questions” landed in Slack continuously — how do I build this UTM, why isn’t this lead routing, can you pull this list — and each one was a context switch.
The problem
The volume wasn’t the real cost; the interruptions were. A senior ops team was spending its day on tier-1 triage instead of the architecture and analysis only they could do. The queue never emptied and the strategic backlog never moved.
What I built
An AI agent that lives in Slack and triages the request queue. It answers routine questions directly, resolves common tasks, and routes the rest with context attached — built on an extensible skill framework so new capabilities are added as skills rather than rewrites. The team owns and grows it.
The result
The agent reclaimed an estimated 3–5 hours per day across the team by absorbing tier-1 requests and cutting the context-switching tax. Ops shifted from reactive support toward the proactive, systems-level work that actually compounds.
What this means for you
If your best operators are stuck being a help desk, an agent that owns the routine queue is one of the fastest AI wins available — high volume, clear rules, and immediate, felt relief for the team.
Stack