Combine Apps

Combine Apps

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Linear

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Linear

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Linear

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Linear

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GitHub Integration

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GitHub Integration

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GitHub Integration

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GitHub Integration

Build automations powered by V7 Go Agents

Connect Salesforce to Bloomerang with

Connect Salesforce to Bloomerang with

Connect Salesforce to Bloomerang with

Every new Linear issue fires an AI translation that reads the product context, expands the technical scope, and creates a developer-ready GitHub issue with implementation detail and acceptance criteria — keeping your product and engineering tools perfectly synchronised.

Example Workflow

Example Workflow

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Linear

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Linear

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Linear

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GitHub

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GitHub

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GitHub

Linear Issue to GitHub Issue

Linear Issue to GitHub Issue

Linear Issue to GitHub Issue

Popular workflows

Example

Input

New issue

AI Agent

Output

Input

New issue

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New Issue Created (Instant)

Triggers instantly when a new issue is created in Linear. Provides complete issue details including title, description, team, assignee, state, and timestamps. Supports filtering by team and project. See Linear docs for additional info

Issue Record

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AI Agent

Analyze

Reading issue title, description, priority, labels, team, assignee, and project context from Linear

Translating the product requirement into a developer-oriented technical specification

Expanding the scope with implementation approach, edge cases, and technical acceptance criteria

Determining the correct GitHub repository and label mapping based on Linear team and project

Creating the GitHub issue with expanded technical detail, acceptance criteria, and Linear issue reference link

Analysis complete

Output

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GitHub

Creates a GitHub issue with AI-expanded technical description, implementation approach, acceptance criteria, edge cases, and a Linear issue reference — ready for developer assignment and sprint planning

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Create Issue

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Create Issue Comment

All actions triggered by agent

Automatically create developer-ready GitHub issues from new Linear backlog items — with AI-expanded technical scope, implementation notes, and acceptance criteria that bridge the product-engineering gap.

Automatically create developer-ready GitHub issues from new Linear backlog items — with AI-expanded technical scope, implementation notes, and acceptance criteria that bridge the product-engineering gap.

Automatically create developer-ready GitHub issues from new Linear backlog items — with AI-expanded technical scope, implementation notes, and acceptance criteria that bridge the product-engineering gap.

Actions & Triggers

Actions & Triggers

Build powerful

Build powerful

Build powerful

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Linear

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Linear

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Linear

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GitHub workflows

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GitHub workflows

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GitHub workflows

Pick from 100+ triggers and actions available.

Pick from 100+ triggers and actions available.

Connect triggers from Zoom to powerful actions in your other business apps.

Popular workflows

Enterprise-grade security

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.

  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Enterprise-grade security

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.

  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Enterprise-grade security

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.

  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Enterprise-grade security

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.

  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Have questions?

Find answers.

Any more questions?

How does V7 Go differ from tools like Zapier or Make?

Zapier and Make are useful when you want apps to react to events in each other. They’re built around triggers and simple data handoffs. V7 Go sits at a different layer. It focuses on document-heavy workflows where the outcome depends on what’s inside the file. Its agents can read a document, extract what matters, use information stored in your workspace, and then act inside your connected apps. In practice, it means Zapier or Make can still be part of your stack, but the purpose of each tool is different. For example, if Zapier handles the wiring, V7 Go can handles the logic that depends on the contents of the document.

How do I connect integrations to V7 Go?

V7 Go includes built-in connectors that link to a growing library of more than four hundred applications. These connectors work through triggers and skills. Triggers are events happening inside external apps that V7 Go can listen to, so when something changes in that app, an agent can start working. Skills are the actions V7 Go can take inside those external apps, whether that’s retrieving information, updating data, or using some feature of the app during a workflow.

Beyond the connector library, the platform can also link to any software that exposes an API endpoint. If an app supports HTTP requests, V7 Go can talk to it through webhooks or API calls. This is often the preferred method for teams working with industry-specific or niche tools that will never have an off-the-shelf integration. Setting these up usually only involves pointing V7 Go at the right endpoint and passing the credentials the system requires.

How does pricing work for integrations?

V7 Go includes built-in connectors that link to a growing library of more than four hundred applications. These connectors work through triggers and skills. Triggers are events happening inside external apps that V7 Go can listen to, so when something changes in that app, an agent can start working. Skills are the actions V7 Go can take inside those external apps, whether that’s retrieving information, updating data, or using some feature of the app during a workflow.

Beyond the connector library, the platform can also link to any software that exposes an API endpoint. If an app supports HTTP requests, V7 Go can talk to it through webhooks or API calls. This is often the preferred method for teams working with industry-specific or niche tools that will never have an off-the-shelf integration. Setting these up usually only involves pointing V7 Go at the right endpoint and passing the credentials the system requires.

What can V7 Go’s agents do once integrations are connected?

Once integrations are active, the agents can work end-to-end across documents and external systems. They can read files, extract structured information, and use additional context from the documents stored in your workspace. They can also perform actions inside the apps you’ve connected, whether that’s updating a record, retrieving additional data, sending a message, or running a task that depends on the contents of the document. You can design workflows where an incoming file automatically triggers an agent, the agent completes the work, and the results show up exactly where your team needs them.

What are Knowledge Hubs, and how do they relate to integrations?

Knowledge Hubs are where your documents live inside V7 Go. When you sync files from places like Google Drive or SharePoint, or upload them directly, they’re not just stored—they’re indexed. That indexing is important, because it means the AI can work with a large library of documents and decide, on its own, which ones are relevant to the task at hand. If an agent needs background information, a definition, a policy, a previous contract, or anything else buried in your files, it can pull the right pieces as it works. This gives your workflows the ability to reference your institutional knowledge without having to hard-code every rule or document location.

Have questions?

Find answers.

Any more questions?

How does V7 Go differ from tools like Zapier or Make?

Zapier and Make are useful when you want apps to react to events in each other. They’re built around triggers and simple data handoffs. V7 Go sits at a different layer. It focuses on document-heavy workflows where the outcome depends on what’s inside the file. Its agents can read a document, extract what matters, use information stored in your workspace, and then act inside your connected apps. In practice, it means Zapier or Make can still be part of your stack, but the purpose of each tool is different. For example, if Zapier handles the wiring, V7 Go can handles the logic that depends on the contents of the document.

How do I connect integrations to V7 Go?

V7 Go includes built-in connectors that link to a growing library of more than four hundred applications. These connectors work through triggers and skills. Triggers are events happening inside external apps that V7 Go can listen to, so when something changes in that app, an agent can start working. Skills are the actions V7 Go can take inside those external apps, whether that’s retrieving information, updating data, or using some feature of the app during a workflow.

Beyond the connector library, the platform can also link to any software that exposes an API endpoint. If an app supports HTTP requests, V7 Go can talk to it through webhooks or API calls. This is often the preferred method for teams working with industry-specific or niche tools that will never have an off-the-shelf integration. Setting these up usually only involves pointing V7 Go at the right endpoint and passing the credentials the system requires.

How does pricing work for integrations?

V7 Go includes built-in connectors that link to a growing library of more than four hundred applications. These connectors work through triggers and skills. Triggers are events happening inside external apps that V7 Go can listen to, so when something changes in that app, an agent can start working. Skills are the actions V7 Go can take inside those external apps, whether that’s retrieving information, updating data, or using some feature of the app during a workflow.

Beyond the connector library, the platform can also link to any software that exposes an API endpoint. If an app supports HTTP requests, V7 Go can talk to it through webhooks or API calls. This is often the preferred method for teams working with industry-specific or niche tools that will never have an off-the-shelf integration. Setting these up usually only involves pointing V7 Go at the right endpoint and passing the credentials the system requires.

What can V7 Go’s agents do once integrations are connected?

Once integrations are active, the agents can work end-to-end across documents and external systems. They can read files, extract structured information, and use additional context from the documents stored in your workspace. They can also perform actions inside the apps you’ve connected, whether that’s updating a record, retrieving additional data, sending a message, or running a task that depends on the contents of the document. You can design workflows where an incoming file automatically triggers an agent, the agent completes the work, and the results show up exactly where your team needs them.

What are Knowledge Hubs, and how do they relate to integrations?

Knowledge Hubs are where your documents live inside V7 Go. When you sync files from places like Google Drive or SharePoint, or upload them directly, they’re not just stored—they’re indexed. That indexing is important, because it means the AI can work with a large library of documents and decide, on its own, which ones are relevant to the task at hand. If an agent needs background information, a definition, a policy, a previous contract, or anything else buried in your files, it can pull the right pieces as it works. This gives your workflows the ability to reference your institutional knowledge without having to hard-code every rule or document location.

Have questions?

Find answers.

How does V7 Go differ from tools like Zapier or Make?

Zapier and Make are useful when you want apps to react to events in each other. They’re built around triggers and simple data handoffs. V7 Go sits at a different layer. It focuses on document-heavy workflows where the outcome depends on what’s inside the file. Its agents can read a document, extract what matters, use information stored in your workspace, and then act inside your connected apps. In practice, it means Zapier or Make can still be part of your stack, but the purpose of each tool is different. For example, if Zapier handles the wiring, V7 Go can handles the logic that depends on the contents of the document.

How do I connect integrations to V7 Go?

V7 Go includes built-in connectors that link to a growing library of more than four hundred applications. These connectors work through triggers and skills. Triggers are events happening inside external apps that V7 Go can listen to, so when something changes in that app, an agent can start working. Skills are the actions V7 Go can take inside those external apps, whether that’s retrieving information, updating data, or using some feature of the app during a workflow.

Beyond the connector library, the platform can also link to any software that exposes an API endpoint. If an app supports HTTP requests, V7 Go can talk to it through webhooks or API calls. This is often the preferred method for teams working with industry-specific or niche tools that will never have an off-the-shelf integration. Setting these up usually only involves pointing V7 Go at the right endpoint and passing the credentials the system requires.

How does pricing work for integrations?

V7 Go includes built-in connectors that link to a growing library of more than four hundred applications. These connectors work through triggers and skills. Triggers are events happening inside external apps that V7 Go can listen to, so when something changes in that app, an agent can start working. Skills are the actions V7 Go can take inside those external apps, whether that’s retrieving information, updating data, or using some feature of the app during a workflow.

Beyond the connector library, the platform can also link to any software that exposes an API endpoint. If an app supports HTTP requests, V7 Go can talk to it through webhooks or API calls. This is often the preferred method for teams working with industry-specific or niche tools that will never have an off-the-shelf integration. Setting these up usually only involves pointing V7 Go at the right endpoint and passing the credentials the system requires.

What can V7 Go’s agents do once integrations are connected?

Once integrations are active, the agents can work end-to-end across documents and external systems. They can read files, extract structured information, and use additional context from the documents stored in your workspace. They can also perform actions inside the apps you’ve connected, whether that’s updating a record, retrieving additional data, sending a message, or running a task that depends on the contents of the document. You can design workflows where an incoming file automatically triggers an agent, the agent completes the work, and the results show up exactly where your team needs them.

What are Knowledge Hubs, and how do they relate to integrations?

Knowledge Hubs are where your documents live inside V7 Go. When you sync files from places like Google Drive or SharePoint, or upload them directly, they’re not just stored—they’re indexed. That indexing is important, because it means the AI can work with a large library of documents and decide, on its own, which ones are relevant to the task at hand. If an agent needs background information, a definition, a policy, a previous contract, or anything else buried in your files, it can pull the right pieces as it works. This gives your workflows the ability to reference your institutional knowledge without having to hard-code every rule or document location.

Have questions?

Find answers.

Any more questions?

How does V7 Go differ from tools like Zapier or Make?

Zapier and Make are useful when you want apps to react to events in each other. They’re built around triggers and simple data handoffs. V7 Go sits at a different layer. It focuses on document-heavy workflows where the outcome depends on what’s inside the file. Its agents can read a document, extract what matters, use information stored in your workspace, and then act inside your connected apps. In practice, it means Zapier or Make can still be part of your stack, but the purpose of each tool is different. For example, if Zapier handles the wiring, V7 Go can handles the logic that depends on the contents of the document.

How do I connect integrations to V7 Go?

V7 Go includes built-in connectors that link to a growing library of more than four hundred applications. These connectors work through triggers and skills. Triggers are events happening inside external apps that V7 Go can listen to, so when something changes in that app, an agent can start working. Skills are the actions V7 Go can take inside those external apps, whether that’s retrieving information, updating data, or using some feature of the app during a workflow.

Beyond the connector library, the platform can also link to any software that exposes an API endpoint. If an app supports HTTP requests, V7 Go can talk to it through webhooks or API calls. This is often the preferred method for teams working with industry-specific or niche tools that will never have an off-the-shelf integration. Setting these up usually only involves pointing V7 Go at the right endpoint and passing the credentials the system requires.

How does pricing work for integrations?

V7 Go includes built-in connectors that link to a growing library of more than four hundred applications. These connectors work through triggers and skills. Triggers are events happening inside external apps that V7 Go can listen to, so when something changes in that app, an agent can start working. Skills are the actions V7 Go can take inside those external apps, whether that’s retrieving information, updating data, or using some feature of the app during a workflow.

Beyond the connector library, the platform can also link to any software that exposes an API endpoint. If an app supports HTTP requests, V7 Go can talk to it through webhooks or API calls. This is often the preferred method for teams working with industry-specific or niche tools that will never have an off-the-shelf integration. Setting these up usually only involves pointing V7 Go at the right endpoint and passing the credentials the system requires.

What can V7 Go’s agents do once integrations are connected?

Once integrations are active, the agents can work end-to-end across documents and external systems. They can read files, extract structured information, and use additional context from the documents stored in your workspace. They can also perform actions inside the apps you’ve connected, whether that’s updating a record, retrieving additional data, sending a message, or running a task that depends on the contents of the document. You can design workflows where an incoming file automatically triggers an agent, the agent completes the work, and the results show up exactly where your team needs them.

What are Knowledge Hubs, and how do they relate to integrations?

Knowledge Hubs are where your documents live inside V7 Go. When you sync files from places like Google Drive or SharePoint, or upload them directly, they’re not just stored—they’re indexed. That indexing is important, because it means the AI can work with a large library of documents and decide, on its own, which ones are relevant to the task at hand. If an agent needs background information, a definition, a policy, a previous contract, or anything else buried in your files, it can pull the right pieces as it works. This gives your workflows the ability to reference your institutional knowledge without having to hard-code every rule or document location.

Ready to supercharge

your

Logo

Linear

?

Sync backlog to repository automatically

V7 Go connects Linear and GitHub with AI agents that translate product issues into developer-ready GitHub tickets the moment they are created. Book a demo.

Ready to supercharge

your

Logo

Linear

?

Sync backlog to repository automatically

V7 Go connects Linear and GitHub with AI agents that translate product issues into developer-ready GitHub tickets the moment they are created. Book a demo.

Ready to supercharge

your

Logo

Linear

?

Sync backlog to repository automatically

V7 Go connects Linear and GitHub with AI agents that translate product issues into developer-ready GitHub tickets the moment they are created. Book a demo.

Ready to supercharge

your

Logo

Linear

?

Sync backlog to repository automatically

V7 Go connects Linear and GitHub with AI agents that translate product issues into developer-ready GitHub tickets the moment they are created. Book a demo.