AlQariAlQari
Agentic Document Workflows

Automate Document Workflows From Intake to Action

Extracting data is only half the job. AlQari chains classification, OCR, extraction, validation, decisions, and human review into one automated pipeline — so a document moves from intake to action without someone shepherding every step.

Build a workflowSee a live demo
Agentic Document Workflows

A single extraction call isn't a process

Real document work is a sequence: figure out what the document is, read it, pull the right fields, check them, decide what happens next, and occasionally ask a human. Bolting those steps together by hand — with scripts, queues, and email — is where automation projects stall.

What it does

Automation with a human safety net

Multi-step pipelines

Classification, OCR, extraction, validation, and integration run as one connected flow.

Conditional decisions

Branch on document type, validation outcome, or confidence — not a rigid linear script.

Human-in-the-loop

Uncertain or failed items pause for review instead of being pushed through blindly.

Multiple triggers

Start a workflow from upload, email, API, or webhook.

System integration

Deliver approved data to your ERP, database, or downstream systems.

Auditable steps

Each stage produces structured output you can inspect and trace.

The pipeline

Intake → extract → validate → decide → act

  1. 1

    Ingest

    Upload, email, API, or webhook starts the workflow.

  2. 2

    Read & extract

    Classification, Arabic OCR, and field extraction run in sequence.

  3. 3

    Validate & decide

    Fields are checked; the workflow branches on the result.

  4. 4

    Review & act

    Exceptions go to a human; approved data is delivered onward.

The pipeline

Intake → extract → validate → decide → act

  1. 1

    Document Intake

    Upload, email, API, or webhook. PDF, PNG, JPG up to 20MB.

  2. 2

    Classification Agent

    Identifies the document type and routes it accordingly.

  3. 3

    Arabic OCR Agent

    Reads Arabic and English text, preserving layout.

  4. 4

    Field Extraction Agent

    Pulls the target fields, with a table-extraction step where line items exist.

  5. 5

    Validation Agent

    Checks fields against your rules and confidence thresholds.

  6. 6

    Decision

    Branches on the result — pass, route, or escalate.

  7. 7

    Human Review

    Anything uncertain goes to a person before it proceeds.

  8. 8

    Output / Integration

    Approved data is delivered to your ERP or systems.

The decision step is what makes it agentic: instead of a fixed script, the workflow branches on validation results and confidence — passing clean documents straight through and escalating the rest to human review.

Use cases

Where agentic workflows fit

Invoice processing

Intake → classify → extract → validate against POs → route exceptions to review.

Application intake

Read forms, extract applicant data, validate completeness, escalate gaps.

Records onboarding

Classify incoming documents, extract metadata, and file them into structured storage.

FAQ

Workflow questions

What makes a workflow 'agentic'?

Instead of a fixed linear script, the workflow makes decisions — branching on document type, validation results, and confidence. It can pass a clean document straight through and escalate a questionable one to a human.

What steps can a workflow include?

Intake, classification, Arabic OCR, field and table extraction, validation, a decision step, human review, and output or integration — chained into one pipeline.

Is there still a human in the loop?

Yes, by design. Anything that fails validation or falls below a confidence threshold is routed to human review before it proceeds. Automation handles the routine; people handle the exceptions.

How are workflows triggered?

A workflow can start from an upload, an inbound email, an API call, or a webhook, depending on how you want documents to enter the pipeline.

Can it push data into our systems?

Yes. Approved, structured output can be delivered to your ERP, database, or other downstream systems as the final step of the workflow.

How is this different from data extraction?

Extraction is one step — pulling fields from a document. Agentic workflows wrap extraction in classification, validation, decisions, review, and integration so the whole process runs end to end.
Related

Related solutions

Document Data Extraction

The extraction step at the core of every workflow.

Smart Document Archiving

Route workflow output into searchable, structured storage.

Workflow demo

See the intake-to-action pipeline in action.

Automate the whole document process

Chain OCR, extraction, validation, and review into one pipeline — with a human safety net where it matters.

Start freeTalk to sales