Automation • Human-in-the-loop

Automate the text work your team does by hand every day.

Summarizing, drafting, classifying, extracting — most teams burn hours on repetitive text work. We build local-LLM pipelines that do the first pass at scale, with a human approving the output, and none of the material leaving your network.

Start with a $999 pilot — limited to our first 5 customers (then $1,999). No production data leaves your network — or you don't continue.

What we deploy

  • Batch pipelines that process documents overnight on your hardware
  • Structured output (fields, tables, tags) into your existing systems
  • Human-review gates before anything is sent or filed
  • Per-document processing logs for traceability
  • Confidence scores on every extracted field, so review effort goes where it is needed

See it in action

Illustration of a typical workflow, built from synthetic sample data — not a recording of a live system. Your pilot is scoped to your own documents and data.

What it looks like in practice

The same architecture, applied across very different teams — your industry is just the data source.

A law firm triages intake emails: matter type, urgency, and conflict-check fields extracted into the practice system.

A clinic turns free-text referral faxes into structured fields the front desk can act on.

A CPA firm pulls wages, withholding and employer details out of client W-2s and 1099s in tax season — each field linked to its box on the source, with preparers reviewing only the low-confidence ones.

A legal team redacts Social Security numbers, account numbers and minors' names across a document production, and a paralegal reviews only the flagged pages.

An accounting team extracts line items from invoices and receipts straight into the ledger for review.

A support team gets suggested reply drafts grounded in past resolved tickets — sent only after a human approves.

What the 30-day pilot looks like

One workflow, your real documents, and a measured result before you commit to anything larger.

  1. Week 1: pick one workflow and 50 real documents; we record how long it takes by hand today and what a correct output looks like.

  2. Weeks 2–3: the pipeline runs on your hardware against those documents, with the review screen your staff will actually use.

  3. Week 4: measured accuracy per field, time saved per document, and every error your reviewers caught — the numbers decide the next step.

Common questions

Which workflows are worth automating first?

The ones that are high-volume, rule-shaped, and currently done by a person reading and retyping — intake forms, document classification and routing, extracting fields from recurring paperwork, drafting standard correspondence. If a task needs judgment, we automate the preparation and leave the judgment to your staff.

Will this replace staff?

In every deployment we have scoped, it removes the retyping, not the role. The realistic outcome is the same team handling more volume without adding headcount — which is usually why a growing practice calls us in the first place.

What if the automation gets something wrong?

Every workflow ships with a human review step at the point where a mistake would matter, plus logging so you can see what it did and why. We set the confidence threshold with you during the pilot, and errors route to a person rather than proceeding silently.

How long does it take to build one?

A single workflow is typically live within the 30-day pilot. Adding workflows later is faster, because the ingestion and access-control work is already done.

Does it integrate with the software we already use?

Where the software has an API or a shared folder, yes. Where it does not — some practice-management systems are genuinely closed — we will tell you that up front rather than quoting an integration we cannot deliver.

How do you measure whether it is working?

Against your own documents, before and after. During the pilot we keep a labelled set of real examples and report field-level accuracy and review time per document — so the decision to expand rests on a number, not a demo.

Related use cases

Proven in regulated industries

We've packaged this capability for compliance-heavy fields — see how it lands in yours.

Want this running on your hardware?

Book a 30-minute discovery call. We'll scope a $999 pilot — limited to our first 5 customers (then $1,999) — no data leaves your network, or you don't continue.