STEP 1
Connect ActiveCollab and AWS Comprehend
Save credentials in WEXTL once. We store them encrypted and reuse the authorization across every workflow [3]. No coding or API skills required.
ActiveCollab and AWS Comprehend Integration
Connect ActiveCollab to AWS Comprehend on visual integration builder following simple steps below. When project management event fired from ActiveCollab, it will run actions inside AWS Comprehend app - exactly how you set them in your ai automation. No coding skills required.
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Learn about ActiveCollab and AWS Comprehend
Detailed info you need to know about ActiveCollab and AWS Comprehend integrations in WEXTL. Explore which modules apps support and how you connect them.
ActiveCollab
Project management for tasks, collaboration, and team workloads. [5]
AWS Comprehend
Amazon's natural language processing service for finding insights in text. [6]
How to connect ActiveCollab to AWS Comprehend
Set up your ActiveCollab and AWS Comprehend integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected ActiveCollab and AWS Comprehend 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 ActiveCollab and AWS Comprehend. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between ActiveCollab and AWS Comprehend work in WEXTL?
WEXTL exposes actions and triggers for ActiveCollab and AWS Comprehend 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.
ActiveCollab triggersAWS Comprehend actions
ActiveCollab modules
- Archive a CompanyArchives a company, making it inactive and preserving its information for future reference or audit purposes.
- Archive a UserArchives a user in the system.
- Cancel an InvoiceCancels an existing invoice in the system.
- Create a CompanyCreates a new company record.
- Create an InvoiceCreates an invoice in the system.
- Create a PaymentCreates a payment in the system.
- Create a ProjectCreates a new project in the specified service.
- Create a UserCreates a new user in the system.
- Delete an InvoiceDeletes a specific invoice from the service.
- Delete a PaymentDeletes a payment from the system.
- Delete a UserDeletes a user from the database.
- Duplicate an InvoiceDuplicates an existing invoice within the system.
- Export an InvoiceExports an invoice in PDF format.
- Export Invoice ReportExports an invoice report to the specified format or location.
- Get a CompanyRetrieves details of a specific company.
- Get an InvoiceRetrieves the details of a specific invoice from the service.
- Get a ProjectRetrieves information about a specific project.
- Get a UserRetrieves a user from the service by user ID.
- Get Invoice Private NotesRetrieves private notes associated with a specific invoice.
- List Archived InvoicesRetrieves a list of archived invoices.
- List CompaniesRetrieves a list of companies from the service.
- List CompaniesRetrieves a list of all companies.
- List Company InvoicesRetrieves a list of invoices for a company.
- List InvoicesRetrieves a list of invoices from the service.
- List PaymentsRetrieves a list of payments.
- List ProjectsRetrieves a list of projects.
- List UsersRetrieves a list of all users.
- List UsersRetrieves a list of users from the service.
- Make an API CallMakes an arbitrary API call.
- Remove a Client from a ProjectRemoves a specified client from an existing project.
- Run Invoice ReportGenerates an invoice report based on the specified criteria.
- Send an InvoiceSends an invoice to a specified recipient.
- Trash a CompanyDeletes a company record from the database.
- Update an InvoiceUpdates an invoice with new details or information.
- Update a PaymentUpdates a payment with the specified details.
- Update a ProjectUpdates a project with new details or changes in the service.
- Update a UserUpdates a user's profile information.
- Watch CompaniesTriggers when a new company is added or an existing company is updated.
- Watch InvoicesTriggers when an invoice is created or updated.
- Watch PaymentsTriggers when a payment is made or updated.
- Watch ProjectsTriggers when a new project is created or updated.
- Watch UsersTriggers when a user event occurs.
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 ActiveCollab and AWS Comprehend integrations. Pick any from the list below if the current combination isn't the one you need.
Frequently asked questions
Common questions about connecting ActiveCollab and AWS Comprehend.
Connect your ActiveCollab and AWS Comprehend 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 ActiveCollab's "Watch Companies" fires, WEXTL can "Batch Detect Dominant Language" in AWS Comprehend. ActiveCollab has 5 triggers (including Watch Companies, Watch Invoices, and Watch Payments); AWS Comprehend has 86 actions (including Batch Detect Dominant Language, Batch Detect Entities, and Batch Detect Key Phrases). 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. ActiveCollab-to-AWS Comprehend 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 ActiveCollab (or AWS Comprehend) 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 ActiveCollab + AWS Comprehend 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 ActiveCollab and AWS Comprehend integration.
- ActiveCollab and AWS Comprehend integration source code, module specs and credentials implementation.
- Our ActiveCollab and AWS Comprehend integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for ActiveCollab and AWS Comprehend — 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.
- ActiveCollab integration information
- AWS Comprehend integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library