Copilots, extraction, and a kill switch

AI that runs in production — with a refusal and a person on writes.

We ship retrieval over your corpus, extraction to fields your operators review, and copilots that refuse when the index is empty. Write actions need a person. Unbounded agents do not ship.

Cited or it refusesPDF to fieldsHuman on outbound
Cite, extract, and approve
Invoice extraction previewNeeds a person
Cite
Answer from your corpus — or refuse
Extract
PDF to fields operators review
Approve
Nothing emails a customer unsupervised
Required
01

The demo was magic; last week it invented a policy

A prototype on public docs. Production users asked a question the corpus never covered. The model answered anyway.

Retrieval over your documents, citations, and a refusal when the year or policy is not in the index. “I don’t know” is a feature.

Cited — or it refuses
Invented

What’s the return policy in DE for 2021?

14 days. (That year is not in the corpus.)
Production copilot

What’s the return policy in DE for 2021?

I don’t know. That year is not in the index.

Refused — empty index
02

Ops is drowning in PDFs

People retype fields. Accuracy is tribal. Nobody wants to be the one who missed a clause.

Invoices and contracts become structured fields plus a review queue. Accuracy is measured, not tribal.

PDF to fields plus review
invoice.pdf — not “the model read it”
Invoice2041
Total€12,400
VendorNorthline
Needs review
03

An agent that emails customers unsupervised

A tool-calling demo that can hit production write APIs. Someone will click it.

Allowlisted tools, a dry-run, and an approval step before anything emails a customer. Unbounded agents do not ship.

A person on outbound
How it works today
Agent emails the customer with no approvalTool-calling demo pointed at production write APIs
Draft to customer

Your order shipped this morning…

Kill
Approve send

Writes need a person. Unbounded agents do not ship.

What you receive

The work we actually deliver.

Use-case contract

A written contract for what good looks like — failing examples first, not vibes.

Retrieval over your corpus

Retrieval over documents you are allowed to use, with citations the operator can open.

Extraction to fields

PDFs become structured fields plus a review queue — not “the model read the invoice.”

Eval set in CI

A small, ugly set of real questions and documents that blocks a deploy when quality drops.

Prompt and retrieval logs

Prompts, retrieval, and outcomes you can audit after the fact.

Kill switch on writes

Write actions do not go out on a vibe. A person confirms, or the action does not send.

How we work with you

Assist, extract, or automate.

01

Assist

Search, draft, summarize — a human still sends.

What you receive

A copilot grounded in your data, with logs you can audit.

02

Extract

Documents have to become fields in a system of record.

What you receive

A pipeline, a review queue, and a measured error rate.

03

Automate

A workflow can run with evals and rollback.

What you receive

Tools with guardrails, not a chatbot with hopes.

Cited
Or it refuses
Review
A person on writes
Evals
Real cases block deploys
Senior engineers only

No junior hand-offs after the proposal.

Weekly demos

You see the real storefront, not a slide deck.

We stay after launch

Launch week is the start of the engagement.

Clear next steps

Every page leads to a real conversation.

Before we start

Questions teams usually ask.

Ready when you are

Tell us about your AI use case.

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