See the input and result.
Then discuss implementation.

These sales, finance and order-tracking scenarios are hypothetical designs using fictional data. They explain processing, human review and acceptance; they are not client results or live system connections.

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Workflow illustration · Fictional data

Sales: an inquiry becomes a review draft

Sales & business automation
Illustrative workflow · Fictional data
Inquiry to reply preparation
SOURCE

RFQ · X20

Please quote 1,000 units of model X20. Please share packaging options and the lead time.

Approved product catalog · X20 / v2
PREPARED WORK
Model
X20
Quantity
1,000
Destination
To confirm
Reply draft

Thank you for your inquiry. Please confirm the destination and packaging requirements. We will check pricing and lead time before replying.

Human review
  1. 1Receive the email and identify customer requirements
  2. 2Check product sources; flag gaps and conflicts
  3. 3Prepare a requirement record, draft and follow-up task
  4. 4Sales staff review the reply and approve sending or updates

Current recurring work

A fictional email asks about packaging and lead time for 1,000 units of model X20. A salesperson copies the requirements, searches the catalog and prepares a reply.

Processing and result

Extract the model, quantity and questions, then check approved product material. Leave destination and unconfirmed lead time unresolved. Prepare a requirement record, reply draft and follow-up task for the salesperson to review and send.

What to check

Check required fields, sources and omissions. Compare the full time spent preparing, reviewing and correcting the reply.

When it needs a person

Missing specification, price or lead-time evidence stays unresolved. Sales staff check requirements and sources before approving the quote and sending; the workflow does not guess stock or lead times.

Finance: documents become a discrepancy list

Finance & back office
Illustrative workflow · Fictional data
Document match to discrepancy
Document reconciliation
ItemPurchase orderInvoice
ModelX20X20
Quantity1,0001,020
Quantity mismatch — finance review

Keep source documents and the discrepancy. No automatic payment.

  1. 1Receive an invoice, purchase order or expense document
  2. 2Extract fields and mark their source locations
  3. 3Match references; list missing fields and differences
  4. 4Finance staff review the result before the agreed approval steps

Current recurring work

A fictional invoice and purchase order show different quantities. Finance staff re-enter references, quantities and amounts before finding the mismatch.

Processing and result

Extract fields, match the purchase order reference and show differences beside the original documents. Prepare review and approval material; authorized staff decide on accounting entries and payments.

What to check

Check each field, duplicate documents and missed differences. Include the full time required for finance review.

When it needs a person

Duplicate invoice numbers, unreadable amounts or missing purchase orders remain unresolved. Finance staff decide how to handle differences; this example approves no accounting entry or payment.

Operations: updates become follow-up tasks

Operations & supply chain
Illustrative workflow · Fictional data
Order status to handoff
Order milestonesSample order SO-024
  1. Order details organizedMatched
  2. Production status to confirmAssign follow-up to the responsible person
  3. Shipping documents neededAssign follow-up to the responsible person

Use supplied records. Unconfirmed lead times stay unconfirmed.

  1. 1Receive an order sheet or approved status update
  2. 2Match the order, milestone and update time
  3. 3Identify missing, overdue or conflicting status
  4. 4Create a follow-up task for the owner to verify and update

Current recurring work

Production and shipping updates for a fictional order are scattered across email and spreadsheets. An order coordinator chases each update to prepare a report.

Processing and result

Group confirmed production, inspection and shipping milestones by order. List missing or overdue updates with an owner; keep conflicts unresolved and review any customer delivery commitment.

What to check

Check source references, status freshness and duplicate alerts. Compare reporting time and unresolved exceptions.

When it needs a person

No inspection result must not be treated as a pass. Conflicting messages require verification; delivery commitments, purchase changes and stock updates need the corresponding approval.

Keep exploring

Document & data processing

Organize catalogs, specification sheets, contracts, PDFs and spreadsheet versions into searchable records with source locations and visible conflicts.

Explore the solution
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

Customer support & operations

Organize messages and history, find approved reference material, and prepare tickets with source-backed reply drafts.

Explore the solution
Illustrative workflow · Fictional data
Customer question to sourced draft

What is the status of our last order? Please also send the specifications for X20.

Order and conversation context

Approved product catalog · X20 / v2

Reply draft

X20 specifications located. The operations team still needs to confirm the order status.

Route the status check to operations

AI agents & custom workflows

Combine retrieval, rule checks and permitted tool actions around a business request. Produce results and an execution record, handing exceptions to a person.

Explore the solution
Illustrative workflow · Fictional data
A task with visible checkpoints
Cross-system workflow
  1. 01Receive a business request
  2. 02Organize fields using rules
  3. 03Route exceptions to a person
  4. 04Update records after approval

Tools, permissions and write operations are agreed per project.

Turn an illustration into testable scope.

These scenarios use fictional material. A real project needs approved samples to confirm fields, sources, processing and human review, followed by a measured baseline. Product-data and support workflows use the same approach.

  • Product data: extract catalog and specification fields; ask the source owner to resolve conflicts.
  • Customer support: match messages with approved material; prepare tickets, citations and review drafts.
  • Acceptance includes normal and exception cases, corrections, maintenance and operating cost; illustrations imply no savings.

Which recurring task
should work better?

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