Custom AI Agents Automate 60-70% of VP Operational Work at 1% Cost

Build AI agents on Replit for variable invocation pricing—$95 for 10K (marketing ops) and $159 for Qbee (customer success)—totaling $254/month including negligible infra ($50 spread across apps). Qbee manages 100+ sponsors: booth assignments, deadlines, real-time replies, issue flagging, status reports, cutting human hours 70% (retaining judgment tasks like escalations). 10K runs standups, GTM updates, campaign tracking, content briefs, registration trends, surfacing priorities—handling the 60-70% "running the machine" layer. Humans retain strategy, relationships, taste. Agents work 24/7 without ramp, churn, or PTO, flipping economics from OpEx-heavy to near-zero marginal cost post-build.

Build In-House Cheaply, Buy Enterprise for Scale—Mix Both

In-house agents like these (14K+ lines for 10K) cost $100-300/month but require engineering (weeks of iteration) and suit custom workflows. Third-party like Artisan ($25K+/month), Agentforce, Qualified, Momentum deliver CRM integrations, compliance, domain expertise, support, SLAs—still 1/3-1/10 human team cost (e.g., Artisan matches 5 SDRs at $400K-750K/year, Qualified drove $1M revenue). Full agent stack runs $50K-200K/month or $2.3K for SaaStr's 20+ agents (revenue +47% YoY). Strategy: build gaps, buy shelf products; replace in-house when better options emerge.

Agent Maintenance Equals Productive Management, Beats Human Overhead

Budget 0.5 FTE per agent: daily tweaks for 10K (creative drift, model updates), weekly for Qbee (data/KB changes). Total 3-5 hours/week for two agents—directly improves output vs. human VP's 5-10 hours/week overhead (1:1s, reviews, hiring, PIPs, recruiting). No comp, severance, or poaching risks. Leverage scales with humans tuning: 3 people run 20+ agents. Constraint isn't cost—it's shipping reliable agents via dedicated expert.

Start with Boring Back-Office Functions for Quick Wins

Target grind work first: sponsor ops, standups, reports, coordination—no judgment needed. Ignore token worries; build production agents. Hire agent expert over next AE. Result: org charts flatten, baseline shifts to AI ops at scale.