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From source material
to a reviewable result.

See how email, order sheets and product files move through connections, field checks, AI interpretation and human review. Access and compatibility are confirmed for your systems.

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Break the work into steps you can inspect.

Illustrative workflow · Fictional data
Document to structured information
Product specificationX20 / SPECIFICATION

Model: X20
Document: v2

PDF · 02
PREPARED WORK
Model
X20
Document version
v2
Source
PDF · 02

Keep the source for each field. Flag missing information.

Human review
Connect sources
Check the interfaces and export options available for email, spreadsheets and business systems. Read the required fields and retain references to original records.
Coordinate steps
Link extraction, checking and assignment by order or task reference. Record duplicates, timeouts and connection failures, then stop or retry under agreed rules.
Interpret content
Rules check models, quantities and required fields. AI can help interpret email and document wording; its output still needs source support and validation.
Review results
Give the owner the original text, extracted fields, discrepancies and proposed action. Quotes, lead times, payments and external messages follow the agreed approval rights.

From incoming material to a reviewable result.

Workflow illustration · Fictional data. Connections, processing rules and permissions are confirmed per project.

  1. 1

    Receive

    Accept an approved email, product file or order update. Keep the message reference, file version or order identifier.

  2. 2

    Extract & check

    Organize fields such as model, quantity and status. Rules check completeness; AI assists with wording. Keep gaps and conflicts visible.

  3. 3

    Review & confirm

    Give the owner source material, open questions and the proposed action. Quotes, lead times and sending require the corresponding authority.

  4. 4

    Output & record

    Produce approved records, drafts or tasks and record the outcome. Put failures in an exception list for a named person to handle.

Choose the right level of automation.

Rules

Look up a known model, match reference numbers, and check required fields and duplicates. Follow explicit conditions; send failed matches to review.

AI-assisted workflows

Extract requirements from varied inquiry wording or summarize long exchanges and product descriptions. Attach sources, then check fields and gaps.

Bounded agents

Consider AI-directed steps when a task needs to query several approved sources according to context. Limit tools, calls and cost, with review and stopping conditions.

Define the fields before the connection.

An order report may need an order number, milestone, update time and owner. Identify which table or system supplies those fields before evaluating an interface, export or approved import.

  • Read only the customer, product or order fields the task needs.
  • Keep credentials in an approved server environment under the access owner’s control.
  • Before writing, agree on target fields, approval and recovery.

Duplicates and interrupted connections are part of the design.

Receiving an order update twice should not create two identical tasks. After an interrupted operation, an unknown outcome must be checked before repeating it. State records show what has already happened.

  • Identify duplicates by business reference and limit timeouts and retries.
  • List missing fields, conflicting status and failed connections as visible exceptions.
  • Check completed steps before recovery to avoid repeated sends or updates.

Use rules to check fields and AI to interpret content.

Rules can check whether a model exists, a quantity is present or an invoice is duplicated. AI can help organize varied email wording, product descriptions and long exchanges, followed by source checks.

  • Keep unconfirmed prices, stock and lead times unresolved.
  • Evaluate complete outputs on normal and exception examples held out of development.
  • Compare correction effort, elapsed time and usage cost before adding more AI.

Which recurring task
should work better?

Let’s talk