Integrations

Your existing stack. A connected story.

Bring customer and business data from your CRM, BI tools, warehouses and spreadsheets into Matik. Create content in the formats your team already works with.

Example workflow
Start
Choose
Your existing source.
Connect
Configure
Access and inputs.
Review
Validate
The generated output.
Your team
Context and review.
Your customer
A relevant next step.
Integrations

Connect the source. Keep the context.

Customer context
Salesforce

Account and opportunity data

HubSpot

CRM information

Gainsight

Customer success data

Examples from Matik’s integration directory
Customer data

Start with the account view.

Connect CRM information to the customer content you generate. Use account context and reporting inputs to build a relevant view for each conversation.

  • Explore Salesforce, HubSpot and Gainsight.
  • Define the fields and reports your content needs.
  • Review source permissions during setup.
Business metrics
BI tools

Looker · Tableau · Power BI

Warehouses

Snowflake · BigQuery · Redshift

Matik content

A reusable view of the results

Examples from Matik’s integration directory
Analytics & warehouses

Use the data behind your reporting.

Bring metrics from BI tools and data warehouses into a reusable content workflow. Start with the reporting logic your team already understands.

  • Explore Looker, Tableau and Power BI.
  • Connect sources such as Snowflake and BigQuery.
  • Agree the metric definitions and reporting period.
From source to useful content
Spreadsheet data

Google Sheets · Microsoft Excel

Matik workflow

Templates and customer context

Output

Presentations, documents and reports

Illustrative connected workflow
Everyday tools

Keep the output familiar.

Use spreadsheet data where it belongs in your workflow. Generate presentations and documents your team can work with, and explore MCP when the starting point is an AI conversation.

  • Connect Google Sheets and Microsoft Excel.
  • Work with familiar presentation formats.
  • Explore additional connections through a REST API.
In practice

Put it to work.

A practical starting point for your team.

Choose

Identify the source for the use case.

Configure

Review credentials, access and inputs.

Validate

Check the data in a generated output.

Connected capabilities

See how the pieces work together.

Explore the product capabilities that support this workflow.

Semantic layer

Semantic layer product preview

Every number has a defined source. Trace customer-facing metrics back to the systems and definitions that produced them.

MCP

MCP product preview

Use Matik from the AI surfaces teams already live in. Claude or ChatGPT can invoke Matik workflows instead of trying to recreate enterprise generation themselves.

Matik Mail

Matik Mail product preview

Generate and distribute the customer story. Approve, send and track the delivery of personalized customer communication.

Connected capabilities

Keep the story moving.

Explore the next part of your Matik workflow.

FAQ

A few useful answers.

Are all integrations configured in the same way?

No. Connection methods and permissions vary by source. Use the integration-specific documentation during setup.

What if our data source is not listed?

Matik also supports connecting through a REST API. Discuss your source and authentication requirements to confirm the right approach.

Does the MCP integration replace data connections?

No. MCP lets a compatible AI environment access a Matik workflow. The data connections still supply the business information behind the content.

Request a demo

Bring the stack you already use.

Review your sources, formats and first customer workflow with the Matik team.

Request a demo