Discovery and project deliverables
Agents can produce discovery roadmaps, business cases, and proposals to help teams turn early project context into structured implementation materials.
AI agents help Salesforce teams deliver implementations from discovery through go-live.
GetGenerative.ai is an AI-native workspace for Salesforce implementation teams. Its specialized agents support work across the delivery lifecycle, from discovery and solution design through configuration, testing, and go-live support. Teams use the workspace to produce project deliverables grounded in discovery inputs, Salesforce org metadata, and implementation context, while consultants remain responsible for review and delivery decisions.
Agents can produce discovery roadmaps, business cases, and proposals to help teams turn early project context into structured implementation materials.
The Design Agent turns completed discovery into themes, epics, user stories, and acceptance criteria, with customer approvals and release work managed in a Kanban workspace.
The Metadata Agent reads Salesforce org metadata for analysis, and the platform describes fit-gap and remediation planning as supported workflows.
Agents can generate implementation workbooks, configuration, and custom code to support delivery from an approved design.
The platform can generate test strategies and test cases, and supports defect tracking as part of implementation testing.
The pricing information describes connections to Salesforce for reading metadata and deploying configuration or code, Jira for sending stories and acceptance criteria, and GitHub for version control and code deployment.
Business analysts and solution engineers can use discovery sessions and project documents to draft themes, epics, user stories, and acceptance criteria, then coordinate customer review.
An implementation team can analyze org metadata to understand the current configuration and inform fit-gap assessment or remediation planning.
Developers can use generated configuration, implementation workbooks, or custom-code outputs as starting points for delivery against an approved solution design.
QA teams can create test strategies and cases and track defects against the implementation work being delivered.
The agents are described as supporting discovery, solution design, configuration and code generation, testing, and go-live support.
Examples include discovery roadmaps, business cases, proposals, solution designs, user stories, acceptance criteria, implementation workbooks, configuration, custom code, test strategies, test cases, and defect tracking.
Yes. The platform describes reading Salesforce org metadata for analysis and deploying configuration or code. Metadata analysis can inform fit-gap and remediation work.
The workspace includes customer approvals and release management for design work. Pro and Enterprise credits are pooled across team members, with administrators able to monitor usage from a dashboard.
The pricing page states that uploaded and generated content is not used to train AI models and is processed to produce deliverables. It also describes Enterprise options for using customer-provided data and language models.
Os dados de tráfego são apenas para referência.
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