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Document AI

Document AI

Extraction, classification and routing pipelines that turn unstructured documents into structured, trustworthy data.

10–16 weeks

Typical timeline

$65k

Starting fee

Documents

Practice

Document AI

02 · Overview

Documents

How we approach it

Every operations team has a stack of PDFs, scans and forms that someone still keys in by hand. We build extraction pipelines that classify, extract and route those documents automatically — and, just as importantly, know when to stop and ask a person, instead of guessing on a low-confidence field.

We set confidence thresholds per field, not per document, so a routine invoice sails through while an unusual clause gets flagged. That’s what makes straight-through processing rates hold up once the pipeline meets real-world documents instead of the clean sample set.

03 · What’s included

Fixed scope, fixed fee

Every

Document AI

engagement

includes:

Scoped precisely after a workflow walkthrough, then written into the statement of work. Nothing on this list is optional.

Document taxonomy & sample audit

Extraction & classification pipeline

Confidence thresholds & exception routing

Human review queue

Integration into downstream systems

04 · What it typically delivers

From engagements in production

91%

average straight-through processing rate

4,200 hrs

typical monthly staff hours reclaimed at enterprise scale

14 weeks

average time to production

05 · Timeline

10–16 weeks

10–16 weeks

scoped after a walkthrough.

The exact plan is written after we walk the workflow with the people who do it today. These are the phases it usually runs through.

Workflow walkthrough

Scope, data access, success metric

Wk 1–2

Build

In shadow mode against live inputs

Wk 2–9

Evaluate

Gold set, thresholds, red-team pass

Wk 9–12

Launch

Staged rollout with a rollback plan

Wk 13–14

Hypercare & handoff

Runbooks, alerts, named owner

Wk 15–16

06 · In production

See it

running somewhere real.

01

Alderleaf Health Network

Healthcare & Life Sciences

Straight-through intake

91%

Was

0%

+91 pts

Clinical intake that clears itself

before staff sit down.

Referral letters, lab results and insurance forms are extracted, validated against the patient record and routed across 14 clinics.

91%

straight-through processing rate on intake documents

4,200 hrs

staff hours saved per month across 14 clinics

14 weeks

Kickoff to production

Read the case

01

Alderleaf Health Network

Straight-through intake

91%

Was

0%

+91 pts

Clinical intake that clears itself

before staff sit down.

Referral letters, lab results and insurance forms are extracted, validated against the patient record and routed across 14 clinics.

91%

straight-through processing rate on intake documents

4,200 hrs

staff hours saved per month across 14 clinics

14 weeks

Kickoff to production

Read the case

08 · Questions about this service

Straight answers

Questions

about this service.

Anything else, ask on the call. We answer before you sign, not after.

—

What document types can this handle?

—

What happens to the documents the pipeline isn't confident about?

—

Does accuracy hold up as document formats change?

Document AI

09 · Start

Tell us the workflow.

We’ll scope the rest.

We’ll tell you what this service looks like for it, what it would take and what it would be worth.

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