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Documents in, checked data out.

Pipelines that read invoices, purchase orders and forms, pull out the fields that matter, check them against your records, and put anything doubtful in front of a person before it's saved.

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Intelligent Automation · invoices read, matched and posted; people check exceptionsIllustrative · fictional business
Illustration: A supplier-invoice workflow: inbox, extraction, ERP match, human review of uncertain fields, posting — with a run log.
  1. 01

    Every document that arrives is read, not just the tidy ones.

  2. 02

    Fields are matched against your ERP before anything is posted.

  3. 03

    An unreadable VAT number waits for a person instead of being guessed.

What's included.

AI pipelines that read invoices, purchase orders and forms, pull out the fields that matter, validate them against your records and route them for review — plus the workflow automation around them.

On every project

  • A discovery call and a realistic estimate first
  • Working versions on a staging link as it takes shape
  • Confidentiality under NDA from day one
  • Support and improvements after launch
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  1. 01

    Document understanding and extraction

    Invoices, orders, receipts and forms read into structured fields, including line items.

  2. 02

    Review-before-commit workflows

    A review screen where people check only what the model wasn't sure about.

  3. 03

    Integrations with ERP, CRM and email

    Connections to your ERP, CRM and inbox, so data lands where it's used.

  4. 04

    Scheduled jobs, alerts and reports

    Scheduled runs, alerts when something looks wrong, and reports on what went through.

How we'd build yours.

Four stages, the same on every project — with working versions you can try along the way. How we work

  1. Step 1

    Discover

    We gather a sample of real documents and the rules your team checks by hand.

  2. Step 2

    Prototype

    Extraction on those documents, shown on a review screen you can use.

  3. Step 3

    Build

    Matching against your records, review rules and a full audit trail.

  4. Step 4

    Launch & scale

    Monitoring accuracy on new documents and tuning as suppliers change formats.

Is it a fit?

An honest check before you get in touch — we'd rather point you elsewhere than build the wrong thing.

A good fit when

  • People re-type the same documents every day
  • There are rules for what 'correct' looks like
  • Mistakes are costly enough to want a review step

Probably not when

  • Only a handful of documents arrive each month
  • Every document needs a different decision

Questions people ask.

TekiTekenza's AI · tap a question to ask
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Let's build what's next.

Tell us what you need in a few lines. An engineer reads every brief and replies with questions, a plan and an estimate.

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