Orchestrate Workflows
in Plain English.

Unstract Flow builds a deterministic workflow from a written description, runs it the same way every time, and routes exceptions to the team.

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Automate the routine. Keep humans on the judgment calls. Log every run.

# what the workflow should do
Watch Gmail for invoice emails. 
For each thread, extract the invoice against the schema,
then append the row to Google Sheets.
ingest 12 invoice emails from Gmail
classify vendor, currency, doc type
extract line items against the schema
validate totals and required fields
review 2 exceptions to the queue
sync 10 rows to Google Sheets
# what the workflow should do
Watch PagerDuty for triggered incidents. Classify each one from
the alert payload, open a Jira ticket, and post a summary to the
on-call Slack channel.
ingest 14 triggered incidents from PagerDuty
classify severity, service, owner
extract fields from the alert payload
validate duplicates and routing rules
review 1 exception to the queue
sync 13 Jira tickets, summary to Slack
# what the workflow should do
Every night, pull the day's Stripe payouts. 
Match each payout against QuickBooks invoices and post the
reconciliation summary to the finance Slack channel.
ingest 38 payouts from Stripe
classify payout type and account
extract amounts and references
validate match against QuickBooks
review 3 mismatches to the queue
sync summary to finance in Slack

Discover. Compile. Run. Repeat.

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Ground the spec in reality, not memory

Exceptions and judgment calls live in people's heads and muscle memory, never in the SOP. A mining agent watches the real process run, in a browser, over SSH, or on a mainframe screen, walks it with the person who runs it, and writes what it saw into a spec anyone can read.

The spec compiles down to a frozen plan

The description goes in once. What comes out is validated, versioned, and identical on every run. A model helps author the plan. The runs never ask it anything. A spec change ships like a code change: diffed, reviewed, versioned, with one-step rollback.

Every workflow run is
run #1

Same inputs, same outputs. No runtime model, no prompt drift. Exceptions land in front of a reviewer, not in a log file, and every read and write lands on the record, ready to replay for audit or debugging.

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100+ connectors, from Slack to the mainframe

Define clear roles for
every member

Control who reviews what and ensure sensitive data only reaches authorized eyes. Create custom approval hierarchies or assign domain experts to review specific
documents. Your compliance team will thank you.

Configure smart
routing rules

Send a fixed percentage of documents for review
every time your workflow runs. Build conditions
based on field values or confidence scores. Ensure
your team only reviews edge cases while perfect extractions flow through.

Ensure complete data validation in one place

See extracted data side-by-side with source
documents. Click to highlight, edit mistakes, and
approve with confidence. What used to take hours
of context-switching now happens in seconds.

Choose your data destination

Push data into production databases or queue for on-
demand API retrieval. Need more flexibility? Export final results to JSON or CSV. However your system needs it—you get clean, structured data that’s ready to use.

Connects with your data ecosystem

Unstract connects to major storage systems and databases to seamlessly support your data validation workflows.

What changes when the runs stop changing

Less manual review

Automations clear the routine work and route only true exceptions to people.
Teams spend the day on judgment, not
data entry.

Minutes, not sprints

A rule change is an edit to the spec, not an
engineering ticket. Logic changes go live without waiting on a release cycle.

Audit-ready by default

Every run lands on the record and replays
on demand.
Compliance sign-off reads the record
instead of chasing screenshots.

Loved by
users

Lenny Hartman 

CTO, Tokenstreet

Unstract lets us turn a wide range of document formats into clean, structured data with low integration effort and without compromising on enterprise-grade controls. Its high extraction accuracy paired with clear highlight-based validation speeds up our process a lot!

Results you can trust

20x

Improved Operational Efficiency 

80% 

Lesser Human Touchpoints

99%

Accurate Document Extraction

Enterprise-grade by design

Real workflows run on Flow

Unstract is document agnostic. Works with any document without prior training or templates.
Have a specific document or use case in mind? Talk to us, and let's take a look together.

Prompt engineering Interface for Document Extraction

Make LLM-extracted data accurate and reliable

Use MCP to integrate Unstract with your existing stack

Control and trust, backed by human verification

Make LLM-extracted data accurate and reliable

LATEST WEBINAR

How to turn complex document tables into usable data with AI

September 11, 2026