Know What Your Software Stack Really Costs

Most companies never decided to spend what they spend on software. The stack grew one reasonable purchase at a time: a CRM, a project tracker, a form builder, a dashboard tool, a thing that syncs the other things. Every tool earned its seat when it arrived. Almost nobody re-litigates the whole portfolio once AI enters the picture.

That is what this audit does. Not a vendor pitch, not a teardown of your systems of record. An honest look at which tools still earn their seats now that AI can carry work that used to require one.

How the audit works

1. Map. List your stack with spend bands, seat counts, and the job each tool does. No contracts or financials required.
2. Score. Each system gets scored on two axes: how much of its job AI can now carry, and how deeply it holds your business context. High-context systems of record score as keepers. Thin per-seat workflow tools get a hard look.
3. Sequence. You get a readout: a spend map by job-to-be-done, consolidation candidates ranked by risk, the places an AI layer raises output without touching your systems of record, and a 90-day order of operations.

We ran this on ourselves first

We run our company on Claude and Notion. We did exactly this exercise on our own stack: mapped every tool, asked which ones still earned their seat, and rebuilt around an AI layer on top of a governed context layer. Our operating expense profile came down 75% and the output went up to executive grade. The people did not go away. The busywork did. AI accelerated our team; it did not replace them.

What this is not

This is not a rip-and-replace pitch. Systems of record that hold your business — Salesforce, NetSuite, Workday, your ERP — usually stay, and usually get more valuable once AI can read from them. The audit is about the long tail: per-seat tools doing jobs AI now does better, and the workflow glue nobody would buy again today. It is the antidote to SaaS sprawl, not a reason to rebuild what already works.

Where the leverage shows up is the AI layer on top — Claude reading governed context through MCP so the systems you keep get more useful, not replaced. See how we run on Claude and Notion and how we build, and what an AI-native Notion workspace looks like once the busywork is gone.

Start the audit

Map your stack below. It takes about 20 minutes, and the readout follows within two business days. No contracts or financials required — spend bands and seat counts are enough.

Frequently asked questions