Sittin' Pretty

Squeeze systems, not people

How does a recruitment or staffing agency automate with AI without breaking what already works?

AI automation for recruitment and staffing businesses

We build automation for recruitment and staffing businesses that run on a CRM and a compliance process. We start with the plumbing that already exists, put every conversation and record somewhere it can be queried, and only then add tools on top. Each engine is measured against a baseline before we call it working.

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Staffing

Clearance takes too long and I cannot say why.

Clearance becomes a queue you can see, sorted by who is closest to ready. We take the median from registration complete to cleared before we change anything, from the dates already in your CRM.

The best of an interview never reaches the form.

You get the names and the clip, in under half a minute. We record the registration interview, store the transcript in a database you own, and join it to the CRM record. Then you ask who said they would do personal care and get names with the source. One staffing group has more than 4,500 interviews searchable this way.

Thousands of candidates registered and went quiet.

They come back in waves, and you count what changed rather than what replied. You already hold their details, so they are the cheapest pool you have. In one wave, 107 of 5,651 candidates changed status and 49 were placed or booked.

We pay for an automation tool nobody understands.

You get off it one pipeline at a time, without breaking anything. We map every automation first, including the ones nobody remembers building. Old and new run side by side until the new one has a clean month. One staffing group cancelled a licence worth about two thousand pounds a year this way.

What happens to our candidate data when an AI reads it?

It stays in your own store, in your own region, and nothing is uploaded wholesale to a model provider. A query sends the model one question's worth of retrieved text, never the whole database, and every answer links back to its source. We are a processor of your data and say so in writing.

Executive search

Candidate packs take a day and nobody reads them.

They read the one-page version. It carries evidence against the agreed criteria, compensation, motivation and your consultant's view, drawn from the interview you already recorded. Private notes stay apart from anything a client sees, and a consultant approves every page. Clients read it on a phone between meetings, which is where the decision gets made.

If we build on one AI provider, are we stuck?

No. The instructions the engines run on are plain text, the database sits apart from the model, and your transcripts and records are the asset. If a provider disappears or doubles its price, we swap the model and the engines keep running on the same data.

Our best work sits in folders nobody else opens.

It becomes one store the whole team can search. We pull in every document, export and note, deduplicate on the candidate, and join each to the CRM record. Your firm's memory stops depending on who is still here.

We cannot take more searches without hiring.

One firm is carrying 50 or more live searches at peak this quarter, against a normal peak of about 25, with the same team. The engines take out write-up and tracking time. Every candidate page still goes through a consultant before a client sees it.

What happens to our candidate data when an AI reads it?

It stays in your own store, in your own region, and nothing is uploaded wholesale to a model provider. A query sends the model one question's worth of retrieved text, never the whole database, and every answer links back to its source. We are a processor of your data and say so in writing.

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