Most AI implementation conversations start at the wrong end. They ask: which tools should we use? That’s the question that leads to 14 subscriptions and nothing measurable.
The right question: which three numbers do we track weekly, so we know AI is actually working?
Here are the three that matter for an SMB marketing team.
1. Content Production Cost per Piece
Take your total monthly marketing spend — tools, contractors, hours. Divide by number of shipped pieces. For most SMB marketing teams in Singapore, that number lives between S$200 and S$800 per piece before AI.
After a proper AI workflow, expect to see 40-60% compression on this number within 90 days. If it’s not moving, the AI isn’t integrated — it’s decorative.
2. Time-from-Brief-to-Publish
The speed metric. Not how fast AI drafts something — AI always drafts fast. The real question: how long from “here’s a brief” to “this is live”?
Pre-AI: 4-7 days is common for SMBs. Post-AI with a proper workflow: 6-24 hours. If your team still takes days, the bottleneck isn’t the model — it’s review cycles, approvals, and who owns the handoff.
3. Engagement-per-Published-Piece (not total engagement)
Per-piece engagement is the one that doesn’t lie. If your AI workflow makes you publish 3× more content but engagement per piece drops 70%, you’re not scaling — you’re diluting.
The target: maintain or improve engagement per piece while output goes up. This is what separates teams using AI to scale vs teams using AI to fill a content calendar with slop.
The accountability layer. Post these three numbers on a shared dashboard. Review weekly. Everyone on the marketing team sees the same numbers on the same day.
Most SMB marketing teams skip the metrics step. They adopt AI, feel productive, and six months later can’t prove anything changed. Don’t be that team.
If you want help setting up the dashboard, book a free discovery call at chazrt.com.