Stop typing what documents already say.
We turn invoices, forms, claims and contracts into structured, validated data inside your systems. Not into a pile of text files, and not into a demo that only works on clean samples.
- 48–72 HOURS
- TOP 3% ENGINEERS
- 100% REPLACEMENT
Document AI is good enough to read most business documents reliably. The hard part is no longer the reading. It is the plumbing around it: checking the output, routing the doubtful cases to people, and posting clean data into the ERP, CRM or case system your team already uses. Most failed pilots stall there, not in the model. That is the part we build well.
- 48–72hfrom first call to engineers in your standup
- Top 3%of applicants, vetted for the work
- 100%replacement guarantee on every hire
What we do.
Capture
from email inboxes, shared folders, scanners, PDFs and phone photos, with de-duplication and basic image clean-up.
Classification and extraction
of fields and tables, including line items, across document types and layouts you have never standardised.
Validation rules and exception queues
for human review, so doubtful documents reach a person and clean ones do not.
Integration
with ERP, CRM and case systems, with idempotent posting so a retry never creates a duplicate record.
Accuracy tracking
so the system improves over time and you can see exactly where it is weak.
Who this is for.
Finance teams keying supplier invoices into an ERP while payment deadlines slip.
Insurance and lending back offices re-typing claims, forms and applications.
Operations teams that receive contracts, delivery notes or purchase orders in a dozen formats.
Companies whose document volume is growing faster than they can hire data-entry staff.
Teams that tried a generic OCR tool and found the exceptions cost more than the typing.
How we work.
We start with your documents, not with a tool. In the first two weeks we sample real files, count the types and layouts, and agree what "correct" means for each field. We then build the pipeline in stages: capture, classify, extract, validate, post. Each stage is measured on a held-out sample, so you see accuracy numbers before anything touches production.
Humans stay in the loop by design. Low-confidence fields and rule failures go to a review queue. Reviewer corrections are logged and used to improve the system. You get a weekly view of straight-through rate and error types, and a named engineer who can explain every miss.
What you get.
A working pipeline from inbox to posted record, running in your environment.
A field-level accuracy report on your own documents, with the method written down.
A rules library covering totals, dates, tax fields, duplicates and vendor checks.
A review queue your team can use without training.
A dashboard showing straight-through rate, exception reasons and reviewer time.
Runbooks and handover sessions for your engineers or ours.
- Top 3% of applicants
- Start in 48–72 hours
- Dedicated account manager
- 100% replacement guarantee
Typical timeline.
Scope drives this. A single document type moves faster than a mixed inbox, and a clean ERP API moves faster than a legacy import.
- 01
Weeks 1 to 2
document sampling, field definitions, target accuracy, integration design.
- 02
Weeks 3 to 5
capture, classification and extraction built and tested on your sample.
- 03
Weeks 6 to 7
validation rules, review queue and system posting in a test environment.
- 04
Weeks 8 to 10
parallel run next to manual entry, tuning, then phased go-live.
Proof
Two delivered projects, one for an insurer's back office and one for invoice processing at a mid-market services company, are summarised in our case studies.
It depends on document quality and field type. We will not quote a number before seeing your files. We measure on a sample, report per-field accuracy, and set a target with you. A wrong total matters more than a wrong middle initial, so targets differ by field.
Related work and reading.
Case studyAutomating data entry for an insurance back office with IDPRead the story 
Case studyProcessing 50,000 invoices a month with minimal manual entryRead the story 
ArticleWhat IDP actually automates (and what it doesn't)Read the article 
ArticleThe hidden labor cost of manual document processingRead the article
LET'S TALK. Start now.
Tell us what you're building. We'll come back with a plan and matched, pre-vetted engineers.
CONTACT