Partnering with Auctor

There's a weird imbalance at the heart of enterprise software: for every dollar companies spend buying platforms like ServiceNow, Salesforce, SAP, or AWS, they spend six more just getting those systems actually running. Sequoia's Julien Bek lays out the numbers in a new post announcing the firm's Series A investment in Auctor — 9 million implementation consultants worldwide, more than $500 billion in annual labor spend, and growth north of 10% a year. It's one of the biggest pockets of the tech economy, and one that's barely been touched by automation.

The reason is structural, not incidental. Enterprise platforms have thousands of moving parts that shift daily, and a single deployment can involve hundreds of requirements and dozens of stakeholders hashed out over months of meetings. Consultants are the glue holding all of that together, relying on memory and pattern-matching rather than any system built to track it. Bek's point, made a little pointedly, is that human context windows are limited by biology in a way large language models simply aren't — consultants forget what was said in last week's meeting, miss dependencies between systems, and can't hold thousands of platform changes in their heads at once.

Auctor's pitch is to replace that fragile web of meetings, documents, and disconnected tools with something that captures requirements and decisions as they happen and turns them straight into the deliverables a project needs. Sequoia says work that used to eat up weeks of scoping now gets compressed into a single sitting. That's a bold claim, but it's also exactly the kind of claim you'd expect from a company trying to automate a market defined by slow, manual translation between business needs and system capabilities.

Sequoia first backed Auctor at seed, not long after founders Will, Sky, and Matt came out of Y Combinator, and the firm's account of an early meeting with a major enterprise platform's C-suite is telling — executives reportedly asked for a pilot before the team had even finished a demo. Sequoia frames this as a market where speed decides the winner, given how strong first-mover advantages tend to be in enterprise software categories. The founders shipped their product and landed a major enterprise contract within months of leaving YC, then set up in New York and started hiring aggressively.

None of this tells us whether Auctor will actually dent that $500 billion labor bill, and Sequoia's post is, unsurprisingly, a victory lap rather than a skeptical audit. But the underlying diagnosis — that implementation work is bloated, fragmented, and ripe for an AI layer that never forgets a requirement — is hard to argue with. Whether the fix is this specific.