Contextual AI

Contextual AI

Integrate with Contextual AI to automate document processing and AI workflows

Contextual AI currently provides 1 trigger that can start a workflow and 7 actions a workflow can run. Use those building blocks to connect product and engineering activity to the customers and work it affects.

Developer Tools1 trigger7 actions

Triggers

(1)

New Agent

Triggers when a new Contextual AI agent is created

Actions

(7)

Query Agent

Send a message to a Contextual AI agent and get a response

Generate Text

Generate text using Contextual AI's Grounded Language Model

Ingest Document

Upload and ingest a document into a Contextual AI datastore

Parse File

Parse a document file into structured Markdown and/or JSON format

Create Agent

Create a new Contextual AI agent with specified configuration

Invite Users

Invite new users to the Contextual AI workspace

Create Datastore

Create a new datastore for organizing documents

What can you automate with Contextual AI and Coherence?

These recipes are generated from the triggers, actions, and categories currently available for this piece. Use them as starting points, then choose the exact fields, conditions, and records your workflow should update.

Bring Contextual AI activity into Coherence

Start from a supported Contextual AI event, then create or update the appropriate CRM, project, or custom record with the source context preserved.

Starts with

New Agent

Finishes with

Create or update a Coherence record

Act in Contextual AI from a Coherence workflow

Use a change in Coherence to run a supported Contextual AI action, so the next step follows the record instead of relying on someone to copy it.

Starts with

A Coherence record or workflow changes

Finishes with

Query Agent

Connect Contextual AI to the wider customer workflow

Combine Contextual AI with another integration and Coherence records to connect product and engineering activity to the customers and work it affects.

Starts with

New Agent

Finishes with

Query Agent, then preserve the outcome in Coherence

How to connect Contextual AI

The exact authentication fields depend on Contextual AI. The workflow structure stays straightforward:

1

Connect the account

Authorize the Contextual AI account and permissions the workflow needs.

2

Choose a supported step

Select one of the current triggers or actions listed above and map its fields.

3

Test with a real record

Run a small test, inspect the result in both systems, and only then enable the workflow.

Related integrations for the same workflow

Explore apps that share a category with Contextual AI or provide a complementary trigger or action.

Contextual AI integration questions

What can I automate with the Contextual AI integration?

Contextual AI currently provides 1 trigger that can start a workflow and 7 actions a workflow can run. Use those building blocks to connect product and engineering activity to the customers and work it affects.

How many Contextual AI triggers and actions are available?

Contextual AI currently lists 1 trigger and 7 actions in the integration catalog. The supported list is refreshed from the pieces available in Coherence, so review the capability names on this page before building a workflow.

Can Contextual AI connect to other apps through Coherence?

Yes. A workflow can combine supported Contextual AI triggers or actions with Coherence records and other available integrations. The exact flow depends on the authentication, permissions, triggers, and actions exposed by each connected app.

Do I need to write code to connect Contextual AI?

The listed triggers and actions are designed for visual workflows. If the pre-built integration does not expose a capability you need, HTTP and webhook steps can cover APIs that your team is authorized to use.

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