Frameworks

Minimum Viable Automation

Jay Banlasan

Jay Banlasan

The AI Systems Guy

tl;dr

Start with the smallest possible automation that proves the concept. Then scale from there.

The concept of minimum viable automation is borrowed from the startup world. Build the smallest possible automation that proves the concept works. Then scale from there.

Most automation projects fail because they start too big. The scope expands. The timeline stretches. By the time it launches, the requirements have changed.

What Minimum Viable Looks Like

You want to automate your entire lead management pipeline. The full vision includes scoring, routing, nurturing, reporting, and optimization.

The minimum viable version: when a new lead comes in, automatically notify the right salesperson via Slack. That is it.

One trigger. One action. Built in 30 minutes. Deployed by end of day.

Why This Works

The minimum viable automation delivers value immediately. The salesperson gets notified faster. Leads get responded to sooner. You can measure the improvement in hours, not months.

It also proves the concept. If the team sees value in automated notifications, they will support building the scoring system. If the notification itself does not work well, you learn that before investing weeks in a complex pipeline.

The Expansion Path

Week one: automated notification. Week two: add lead source information to the notification. Week three: add basic scoring (form completeness, source channel). Week four: add conditional routing based on scores.

Each week adds one piece. Each piece is tested and proven before the next is built. After a month, you have a functional pipeline built from four small, proven automations.

The Alternative

The alternative is spending four months building the full pipeline. It launches. Half of it does not work as expected. Nobody uses the scoring because the criteria are wrong. The routing sends leads to the wrong people. The reporting format is not what anyone wanted.

Four months of work. Two months of fixing. The team loses confidence in automation.

The Rule

If your automation takes more than one week to build version one, the scope is too large. Cut it down. Find the smallest piece that delivers standalone value. Build that. Prove it. Expand.

Minimum viable. Maximum learning. Scale from evidence, not assumptions.

Build These Systems

Ready to implement? These step-by-step tutorials show you exactly how:

Want this built for your business?

Get a free assessment of where AI operations can replace overhead in your company.

Get Your Free Assessment

Related posts