Where workflow automation creates leverage first.

Almost every company we meet is automating something. Almost none of them are automating the right thing first. They pick the workflow that's most annoying, or most visible, or most likely to demo well to the board. Those workflows often produce the smallest compound returns.

The workflow that compounds is rarely the one that hurts the most. It's the one that touches the most other workflows.

The leverage test

We use a four-line test before recommending a target. The candidate workflow has to clear all four:

• It runs constantly. Daily, ideally hourly. Annual processes are bad first targets.
• It feeds other work. Its output is an input for at least three downstream people or systems.
• It has clear "good" and "wrong". Not subjective taste — checkable outcomes.
• It already costs real money. Salaries, refunds, churn — something you can put a number on this quarter.

Workflows that clear all four are usually invisible. They live in operations, finance close, customer success triage, sales-ops handoffs. Nobody pitches them at the offsite. They're exactly where you should start.

What this rules out

The leverage test rules out most "AI assistant" projects on day one. A general-purpose chatbot fails the third line every time — there's no crisp "wrong". A monthly board-pack generator fails the first. A clever sales-email writer fails the fourth, because nobody can tell you what revenue it actually produced.

What it rules in

• Support triage that routes tickets and drafts the first reply with citations from product telemetry.
• Operational review queues — disputes, refunds, policy exceptions — where consistency beats brilliance.
• Cross-tool reconciliation: data lives in three systems, somebody compares them weekly, the answer is mechanical.
• Internal knowledge agents grounded in the systems that actually run the company, not the wiki.

The reason it works

These workflows are upstream. Improving them moves things you didn't instrument because you weren't expecting to. The CFO notices a margin change. Support notices their retention curve bending. The COO notices that an entire weekly meeting is suddenly 20 minutes shorter. That's what compound looks like in operations.

The most valuable engagement we ran last year started by automating an ops queue that nobody outside ops had heard of. A quarter later it had moved a number on the executive dashboard. Start there.