STEP 1
Connect AWS Comprehend and Sankhya
Save credentials in WEXTL once. We store them encrypted and reuse the authorization across every workflow [3]. No coding or API skills required.
AWS Comprehend and Sankhya Integration
Automate the handoff between AWS Comprehend and Sankhya - your ai events flow into finance actions on a visual canvas your team can read. Set up the workflow once with 3 simple steps in the WEXTL® builder, let AI take smart decisions between apps, and never write a line of glue code again.
3-day trialCancel anytimeUp to 10 minutes quick set up
- GDPR
- Data Encryption
- 2FA
- Local Data Region
Learn about AWS Comprehend and Sankhya
Detailed info you need to know about AWS Comprehend and Sankhya integrations in WEXTL. Explore which modules apps support and how you connect them.
AWS Comprehend
Amazon's natural language processing service for finding insights in text. [5]
How to connect AWS Comprehend to Sankhya
Set up your AWS Comprehend and Sankhya integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected AWS Comprehend and Sankhya nodes onto the canvas [4], or describe what you want and WEXTL wires the flow together with AI Builder.
STEP 3
Map your data
Choose which fields need to sync between AWS Comprehend and Sankhya. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between AWS Comprehend and Sankhya work in WEXTL?
WEXTL exposes actions and triggers for AWS Comprehend and Sankhya that help you connect apps and automate repetitive tasks [1]. A trigger is an event that happens, an action — a step that performs when the event has occurred.
Sankhya triggersAWS Comprehend actions
Sankhya modules
- Add a Contact for a CustomerAdds a contact for an already registered customer.
- Calculate Sales TaxesCalculates sales taxes based on given parameters and returns the total amount including taxes.
- Cancel an Electronic Consumer InvoiceCancels an electronic consumer invoice.
- Cancel an Electronic Tax ReceiptCancels an electronic tax receipt from the service.
- Cancel a Sales OrderCancels an available sales order.
- Check for Integration InconsistenciesReturns the list of inconsistencies identified in the HCM integration routines.
- Create a Contextualized Product PriceCreates a new contextualized product price.
- Create a CustomerCreates a new customer.
- Create a Financial Expense RecordCreates a new financial expense record.
- Create a Financial Record of RevenueCreates a new financial record of revenue.
- Create an API CallPerforms an arbitrary authorized API request.
- Get a CompanyReturns a specific company details based on the parameter sent in the request.
- Get a DepartmentReturns a specific department based on the parameter sent in the request.
- Get a FunctionReturns a specific function based on the parameter sent in the request.
- Get an EmployeeReturns the data of an employee.
- Get an OccurrenceReturns a specific occurrence history based on the parameter sent in the request.
- Get a POS CashierReturns the `codigoCaixa` that is open for the criteria sent for querying.
- Get a PositionReturns a specific job title based on the parameter sent in the request.
- Get a ProductReturns a specific product based on the parameter sent in the request.
- Get a Product GroupReturns a specific product group based on the parameter sent in the request.
- Get a Product LocationReturns a specific stock location based on the parameter sent in the request.
- Get a Product VolumeReturns a specific volume based on the parameter sent in the request.
- Get a Trade UnionReturns a specific union based on the parameter sent in the request.
- Get a WorkplaceReturns a specific workplace based on the parameter sent in the request.
- Import a Service InvoiceImports a service invoice into the system.
- Include an Electronic Customer InvoiceIncludes an electronic consumer invoice, model 65, issued at an external POS terminal.
- Include an Electronic Tax ReceiptIncludes an electronic tax receipt, model 59, issued at an external POS terminal.
- Include a Sales OrderAdds a sales order to the selected sales order group.
- Invalidate Electronic Consumer Invoice NumberingInvalidates the electronic Consumer Invoice Numbering, model 65, issued at an external POS terminal.
- Invalidate Electronic Tax Coupon NumberingInvalidates the electronic tax coupon numbering system (model 59) issued by an external POS terminal.
- List AbsencesReturns a paginated list of absence records.
- List Alternative ProductsReturns a list of alternative products for a given product.
- List CompaniesReturns a paginated list of companies.
- List Customer RecordsRetrieves a list of customer records for a specific employee and company.
- List CustomersRetrieves a list of customers.
- List DelaysReturns a paginated list of delays.
- List DepartmentsReturns a paginated list of departments.
- List Employee Incident ReportsLists incident reports for a specific employee and company.
- List Employee Lateness RecordsLists lateness records for a specific employee and company.
- List Employee MovementsLists movement records for a specific employee and company.
- List EmployeesReturns a paginated list of employees.
- List Employee VacationsRetrieves a list of vacation records for a specific employee and company.
- List Employee Work HoursLists historical work hour records for a specific employee and company.
- List ExpensesProvides access to financial expense data entered.
- List FunctionsReturns a paginated list of functions registered in SankhyaOM.
- List HCM CustomersReturns a paginated list of customers.
- List Incident HistoryReturns a paginated list of historical occurrences.
- List InventoryRetrieves a list of stock inventory.
- List Linked Product PricesRetrieves prices linked to a product independently of the price list.
- List MovementsReturns all transaction records.
AWS Comprehend modules
- Batch Detect Dominant LanguageDetects the dominant language of up to 25 texts in one request.
- Batch Detect EntitiesFinds named entities in up to 25 texts in one request.
- Batch Detect Key PhrasesExtracts key noun phrases from up to 25 texts in one request.
- Batch Detect SentimentDetects the overall sentiment of up to 25 texts in one request.
- Batch Detect SyntaxTags the part of speech of every word in up to 25 texts in one request.
- Batch Detect Targeted SentimentDetects the sentiment about each entity mentioned in up to 25 texts in one request.
- Classify DocumentClassifies a text or document in real time with a custom classifier endpoint.
- Contains PII EntitiesChecks whether a text contains personal information and lists the kinds found.
- Create DatasetAdds a training or test dataset from Amazon S3 to a flywheel.
- Create Document ClassifierCreates and starts training a custom document classifier from labeled data in Amazon S3.
- Create EndpointCreates a real-time endpoint for a trained custom classifier or entity recognizer.
- Create Entity RecognizerCreates and starts training a custom entity recognizer from annotated data in Amazon S3.
- Create FlywheelCreates a flywheel that manages training and versions of a custom model.
- Delete Document ClassifierDeletes a trained or failed document classifier.
- Delete EndpointDeletes a custom model endpoint and stops its billing.
- Delete Entity RecognizerDeletes a trained or failed entity recognizer.
- Delete FlywheelDeletes a flywheel without deleting its data lake or trained models.
- Delete Resource PolicyRemoves the resource-based policy from a custom model.
- Describe DatasetReturns the status and details of a flywheel dataset.
- Describe Document Classification JobReturns the status and settings of a document classification job.
- Describe Document ClassifierReturns the training status, settings, and accuracy metrics of a document classifier.
- Describe Dominant Language Detection JobReturns the status and settings of a dominant language detection job.
- Describe EndpointReturns the status, model, and capacity of a custom model endpoint.
- Describe Entities Detection JobReturns the status and settings of an entities detection job.
- Describe Entity RecognizerReturns the training status, settings, and accuracy metrics of an entity recognizer.
- Describe Events Detection JobReturns the status and settings of an events detection job.
- Describe FlywheelReturns the status, active model, and settings of a flywheel.
- Describe Flywheel IterationReturns the status and model metrics of one flywheel iteration.
- Describe Key Phrases Detection JobReturns the status and settings of a key phrases detection job.
- Describe PII Entities Detection JobReturns the status and settings of a PII entities detection job.
- Describe Resource PolicyReturns the resource-based policy attached to a custom model.
- Describe Sentiment Detection JobReturns the status and settings of a sentiment detection job.
- Describe Targeted Sentiment Detection JobReturns the status and settings of a targeted sentiment detection job.
- Describe Topics Detection JobReturns the status and settings of a topics detection job.
- Detect Dominant LanguageDetects the languages a text is written in, with a confidence score for each.
- Detect EntitiesFinds named entities such as people, places, and organizations in a text or document.
- Detect Key PhrasesExtracts the key noun phrases from a text.
- Detect PII EntitiesFinds personal information in a text and returns its type and position.
- Detect SentimentDetects whether a text is positive, negative, neutral, or mixed.
- Detect SyntaxSplits a text into words and tags each word with its part of speech.
- Detect Targeted SentimentDetects the sentiment expressed about each entity mentioned in a text.
- Detect Toxic ContentScores short text segments for toxic content such as insults, profanity, and hate speech.
- Import ModelCreates a copy of a custom model shared from another AWS account.
- List DatasetsRetrieves a list of flywheel datasets.
- List Document Classification JobsRetrieves a list of document classification jobs.
- List Document ClassifiersRetrieves a list of custom document classifiers.
- List Document Classifier SummariesRetrieves a summary of each document classifier name with its version count and latest version.
- List Dominant Language Detection JobsRetrieves a list of dominant language detection jobs.
- List EndpointsRetrieves a list of custom model endpoints.
- List Entities Detection JobsRetrieves a list of entities detection jobs.
Explore alternative integrations
There are other apps [9] supported by WEXTL that can be paired with AWS Comprehend and Sankhya integrations. Pick any from the list below if the current combination isn't the one you need.
Frequently asked questions
Common questions about connecting AWS Comprehend and Sankhya.
Connect your AWS Comprehend and Sankhya accounts once, pick a trigger in one app and an action in the other, then map the fields so data flows automatically between them. [3]
Example: when Sankhya's "Watch Alternative Products" fires, WEXTL can "Batch Detect Dominant Language" in AWS Comprehend. AWS Comprehend has 86 actions (including Batch Detect Dominant Language, Batch Detect Entities, and Batch Detect Key Phrases); Sankhya has 80 actions (including Add a Contact for a Customer, Calculate Sales Taxes, and Cancel an Electronic Consumer Invoice). Add filters and transforms between steps when you need them. [1]
Yes — the integration works in both directions. Use each app's triggers to start a workflow and the other app's actions to update it. [2]
No. AWS Comprehend-to-Sankhya automations are built visually on the canvas. You can optionally add custom JavaScript with Functions when you need advanced logic. [4]
Yes. Trigger-based automations start the moment AWS Comprehend (or Sankhya) fires a new event — webhook-backed apps run within seconds, and polling-only apps re-check on a schedule you control. [7]
A first automation typically takes 5–10 minutes: connect each app's credential once, drop a trigger + action onto the canvas, map the fields, and turn the workflow on.
You can build your AWS Comprehend + Sankhya automation on a 3-day trial with every feature unlocked. Cancel anytime. For your protection, a small deposit is charged to your card when your trial starts. It counts toward your first payment and is non-refundable. [8]
References
List of sources used to gather information about the AWS Comprehend and Sankhya integration.
- AWS Comprehend and Sankhya integration source code, module specs and credentials implementation.
- Our AWS Comprehend and Sankhya integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for AWS Comprehend and Sankhya — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
- WEXTL® visual workflow builder, anonymized data from our technical support team.
- AWS Comprehend integration information
- Sankhya integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library