Use Case
This use case outlines how Rightbrain enables structured sales and marketing workflows to be executed directly inside ChatGPT by connecting custom Rightbrain Skills via MCP.
Rather than relying on broad, open-ended prompts, teams can trigger specialised Skills that carry out defined tasks, such as identifying similar companies, generating tailored use cases, and shaping account-based marketing strategies. This enhances ChatGPT to run tasks following business rules while keeping a full, auditable record/log of every action.
After winning a new client or having a strong commercial conversation, sales and marketing teams typically follow a familiar sequence of actions. They look for similar organisations, research those accounts, assess where their services could add value, and then design a targeted engagement approach.
Standard AI tools can assist with research, but they do not inherently understand a company’s service offering, positioning, or internal rules. Rightbrain addresses this gap by embedding domain-specific Skills into the tools teams already use, ensuring outputs remain aligned with how the business actually operates.
Rightbrain Skills are connected to ChatGPT via MCP, allowing ChatGPT to call external tools hosted within the Rightbrain platform.
Once the connection is established:
This creates a structured layer between conversational prompts and operational execution.

Step 1: Listing Available Rightbrain Skills.
After integrating Rightbrain Skills into ChatGPT through MCP, the user can request a list of available Skills.
ChatGPT retrieves the connected Skills and presents:
At the same time, these Skills are visible within the Rightbrain dashboard, confirming that the interface and the execution layer are fully synchronised.

Step 2: Similar Companies Discovery
A common motion for sales teams is to identify companies similar to a newly won client.
For instance, if a team has secured a client such as Stripe, the next step is to find organisations with comparable characteristics.
ChatGPT recognises that it has access to the Rightbrain Similar Companies Skill and initiates the tool based on predefined internal instructions. The Skill conducts structured web research and returns a curated list of relevant companies. In this scenario, the output provides ten comparable organisations that can be prioritised for outbound targeting.
This replaces manual research with a faster and more consistent process.

Step 3: AI Use Case Identification for Target Accounts
Once a target account is selected, for example, Adyen, ChatGPT refers to the Rightbrain AI Use Case Identifier Skill.
This Skill researches the company in the context of Rightbrain’s services and capabilities. It then produces a set of tailored ideas for how Rightbrain could engage with that organisation. The output is structured as a ranked list of use cases based on relevance and potential impact.
Because the logic is customised, the suggestions are grounded in the organisation’s actual value proposition rather than generic recommendations.

Step 4: Account-Based Marketing Strategy Development
The next stage builds on the prioritised use cases to shape a focused engagement plan.
ChatGPT calls the Rightbrain AI Account Strategist Skill, which takes the identified opportunities and converts them into a structured account-based marketing approach. This includes suggested routes into the organisation, likely stakeholder profiles, and angles for engagement aligned to the proposed use cases.
This reflects a real-world ABM workflow but with greater speed and consistency.

Step 5: Real-Time Logging and Run Transparency
While each Skill is executed, activity is automatically recorded in the Rightbrain dashboard logs.
As ChatGPT calls the Account Strategist Skill, the logs update in near real time, confirming that the Rightbrain API has been triggered and the task is running as expected. Users can open an individual run to review detailed metrics, including duration, token usage, cost, raw inputs, and the full JSON response.
This level of visibility ensures that every output can be traced, reviewed, and validated when required.

This workflow mirrors a practical sequence followed by many sales and marketing teams:
By embedding Rightbrain Skills into ChatGPT, these actions become structured, repeatable, and aligned with internal processes.
Auditability is a core advantage of this approach. Every Skill execution is logged, traceable, and reviewable within the Rightbrain platform.
This is particularly valuable in legal, compliance, and enterprise environments where decision trails and output validation are essential. Instead of relying on opaque AI responses, organisations gain a governed system with clear inputs, structured logic, and inspectable outputs.
From Rightbrain’s perspective, this use case demonstrates how custom AI tooling can extend conversational interfaces into operational systems.
By connecting Rightbrain Skills to ChatGPT via MCP, the AI interface operates with a clear understanding of the business context, executes specialised tasks according to defined rules, and maintains a complete audit trail across all runs. This shifts AI from general assistance towards controlled, business-aware execution across sales, marketing, and governance workflows.

Ready to ship your next AI feature?
Book demo
Use Case
This use case outlines how Rightbrain enables structured sales and marketing workflows to be executed directly inside ChatGPT by connecting custom Rightbrain Skills via MCP.
Rather than relying on broad, open-ended prompts, teams can trigger specialised Skills that carry out defined tasks, such as identifying similar companies, generating tailored use cases, and shaping account-based marketing strategies. This enhances ChatGPT to run tasks following business rules while keeping a full, auditable record/log of every action.
After winning a new client or having a strong commercial conversation, sales and marketing teams typically follow a familiar sequence of actions. They look for similar organisations, research those accounts, assess where their services could add value, and then design a targeted engagement approach.
Standard AI tools can assist with research, but they do not inherently understand a company’s service offering, positioning, or internal rules. Rightbrain addresses this gap by embedding domain-specific Skills into the tools teams already use, ensuring outputs remain aligned with how the business actually operates.
Rightbrain Skills are connected to ChatGPT via MCP, allowing ChatGPT to call external tools hosted within the Rightbrain platform.
Once the connection is established:
This creates a structured layer between conversational prompts and operational execution.

Step 1: Listing Available Rightbrain Skills.
After integrating Rightbrain Skills into ChatGPT through MCP, the user can request a list of available Skills.
ChatGPT retrieves the connected Skills and presents:
At the same time, these Skills are visible within the Rightbrain dashboard, confirming that the interface and the execution layer are fully synchronised.

Step 2: Similar Companies Discovery
A common motion for sales teams is to identify companies similar to a newly won client.
For instance, if a team has secured a client such as Stripe, the next step is to find organisations with comparable characteristics.
ChatGPT recognises that it has access to the Rightbrain Similar Companies Skill and initiates the tool based on predefined internal instructions. The Skill conducts structured web research and returns a curated list of relevant companies. In this scenario, the output provides ten comparable organisations that can be prioritised for outbound targeting.
This replaces manual research with a faster and more consistent process.

Step 3: AI Use Case Identification for Target Accounts
Once a target account is selected, for example, Adyen, ChatGPT refers to the Rightbrain AI Use Case Identifier Skill.
This Skill researches the company in the context of Rightbrain’s services and capabilities. It then produces a set of tailored ideas for how Rightbrain could engage with that organisation. The output is structured as a ranked list of use cases based on relevance and potential impact.
Because the logic is customised, the suggestions are grounded in the organisation’s actual value proposition rather than generic recommendations.

Step 4: Account-Based Marketing Strategy Development
The next stage builds on the prioritised use cases to shape a focused engagement plan.
ChatGPT calls the Rightbrain AI Account Strategist Skill, which takes the identified opportunities and converts them into a structured account-based marketing approach. This includes suggested routes into the organisation, likely stakeholder profiles, and angles for engagement aligned to the proposed use cases.
This reflects a real-world ABM workflow but with greater speed and consistency.

Step 5: Real-Time Logging and Run Transparency
While each Skill is executed, activity is automatically recorded in the Rightbrain dashboard logs.
As ChatGPT calls the Account Strategist Skill, the logs update in near real time, confirming that the Rightbrain API has been triggered and the task is running as expected. Users can open an individual run to review detailed metrics, including duration, token usage, cost, raw inputs, and the full JSON response.
This level of visibility ensures that every output can be traced, reviewed, and validated when required.

This workflow mirrors a practical sequence followed by many sales and marketing teams:
By embedding Rightbrain Skills into ChatGPT, these actions become structured, repeatable, and aligned with internal processes.
Auditability is a core advantage of this approach. Every Skill execution is logged, traceable, and reviewable within the Rightbrain platform.
This is particularly valuable in legal, compliance, and enterprise environments where decision trails and output validation are essential. Instead of relying on opaque AI responses, organisations gain a governed system with clear inputs, structured logic, and inspectable outputs.
From Rightbrain’s perspective, this use case demonstrates how custom AI tooling can extend conversational interfaces into operational systems.
By connecting Rightbrain Skills to ChatGPT via MCP, the AI interface operates with a clear understanding of the business context, executes specialised tasks according to defined rules, and maintains a complete audit trail across all runs. This shifts AI from general assistance towards controlled, business-aware execution across sales, marketing, and governance workflows.

Ready to ship your next AI feature?
Book demo
Use Case
This use case outlines how Rightbrain enables structured sales and marketing workflows to be executed directly inside ChatGPT by connecting custom Rightbrain Skills via MCP.
Rather than relying on broad, open-ended prompts, teams can trigger specialised Skills that carry out defined tasks, such as identifying similar companies, generating tailored use cases, and shaping account-based marketing strategies. This enhances ChatGPT to run tasks following business rules while keeping a full, auditable record/log of every action.
After winning a new client or having a strong commercial conversation, sales and marketing teams typically follow a familiar sequence of actions. They look for similar organisations, research those accounts, assess where their services could add value, and then design a targeted engagement approach.
Standard AI tools can assist with research, but they do not inherently understand a company’s service offering, positioning, or internal rules. Rightbrain addresses this gap by embedding domain-specific Skills into the tools teams already use, ensuring outputs remain aligned with how the business actually operates.
Rightbrain Skills are connected to ChatGPT via MCP, allowing ChatGPT to call external tools hosted within the Rightbrain platform.
Once the connection is established:
This creates a structured layer between conversational prompts and operational execution.

Step 1: Listing Available Rightbrain Skills.
After integrating Rightbrain Skills into ChatGPT through MCP, the user can request a list of available Skills.
ChatGPT retrieves the connected Skills and presents:
At the same time, these Skills are visible within the Rightbrain dashboard, confirming that the interface and the execution layer are fully synchronised.

Step 2: Similar Companies Discovery
A common motion for sales teams is to identify companies similar to a newly won client.
For instance, if a team has secured a client such as Stripe, the next step is to find organisations with comparable characteristics.
ChatGPT recognises that it has access to the Rightbrain Similar Companies Skill and initiates the tool based on predefined internal instructions. The Skill conducts structured web research and returns a curated list of relevant companies. In this scenario, the output provides ten comparable organisations that can be prioritised for outbound targeting.
This replaces manual research with a faster and more consistent process.

Step 3: AI Use Case Identification for Target Accounts
Once a target account is selected, for example, Adyen, ChatGPT refers to the Rightbrain AI Use Case Identifier Skill.
This Skill researches the company in the context of Rightbrain’s services and capabilities. It then produces a set of tailored ideas for how Rightbrain could engage with that organisation. The output is structured as a ranked list of use cases based on relevance and potential impact.
Because the logic is customised, the suggestions are grounded in the organisation’s actual value proposition rather than generic recommendations.

Step 4: Account-Based Marketing Strategy Development
The next stage builds on the prioritised use cases to shape a focused engagement plan.
ChatGPT calls the Rightbrain AI Account Strategist Skill, which takes the identified opportunities and converts them into a structured account-based marketing approach. This includes suggested routes into the organisation, likely stakeholder profiles, and angles for engagement aligned to the proposed use cases.
This reflects a real-world ABM workflow but with greater speed and consistency.

Step 5: Real-Time Logging and Run Transparency
While each Skill is executed, activity is automatically recorded in the Rightbrain dashboard logs.
As ChatGPT calls the Account Strategist Skill, the logs update in near real time, confirming that the Rightbrain API has been triggered and the task is running as expected. Users can open an individual run to review detailed metrics, including duration, token usage, cost, raw inputs, and the full JSON response.
This level of visibility ensures that every output can be traced, reviewed, and validated when required.

This workflow mirrors a practical sequence followed by many sales and marketing teams:
By embedding Rightbrain Skills into ChatGPT, these actions become structured, repeatable, and aligned with internal processes.
Auditability is a core advantage of this approach. Every Skill execution is logged, traceable, and reviewable within the Rightbrain platform.
This is particularly valuable in legal, compliance, and enterprise environments where decision trails and output validation are essential. Instead of relying on opaque AI responses, organisations gain a governed system with clear inputs, structured logic, and inspectable outputs.
From Rightbrain’s perspective, this use case demonstrates how custom AI tooling can extend conversational interfaces into operational systems.
By connecting Rightbrain Skills to ChatGPT via MCP, the AI interface operates with a clear understanding of the business context, executes specialised tasks according to defined rules, and maintains a complete audit trail across all runs. This shifts AI from general assistance towards controlled, business-aware execution across sales, marketing, and governance workflows.

Ready to ship your next AI feature?
Book demo