Getgenerative.ai

Getgenerative.ai is an AI project builder tool. A Salesforce implementation platform built around six lifecycle agents (Discovery, Metadata, Design, Build, Testing, Support) backed by Forward Deployed Engineers. It covers roadmaps, org audits, solution design, metadata and code generation, testing and post go-live admin from one Studio-configurable environment.

GetGenerative.ai is a delivery platform for Salesforce implementation work. Instead of offering one general purpose assistant, it splits the implementation lifecycle across six named agents: Discovery, Metadata, Design, Build, Testing and Support. Each agent owns a defined stage, from mapping business needs into a roadmap through to handling bugs and enhancements after go-live. The company pairs the agents with Forward Deployed Engineers, so the product is positioned as a managed delivery model rather than self-serve software. The agents work in sequence. Discovery takes structured and unstructured business inputs and produces a roadmap, solution outline and business case. Metadata inspects an existing org to build an as-is blueprint, flag technical debt and drift, and propose a remediation plan. Design turns a proposal into low level solution design, user stories and acceptance criteria, with project setup pushed into Jira. Build creates implementation workbooks, separates configuration from coding needs, generates metadata and code, then deploys to Salesforce sandboxes. Testing covers test strategy, case generation, run management and defects, while Support acts as an admin for business as usual requests, using metadata context and Salesforce MCP. It suits Salesforce partners, consultancies and internal CRM teams running multi-month implementations where discovery documentation and org audits eat senior consultant time. The vendor publishes effort savings per stage, ranging from 50 percent on test case creation to 80 percent on org review and remediation, which are marketing claims rather than independent benchmarks. A Studio layer lets teams choose their own LLM, connect data sources, adapt the methodology to their SDLC and customise templates. Salesforce Headless 360 provides enterprise-wide context. Compared with generic coding assistants or chat tools, the appeal is narrow and deep: the agents are trained on Salesforce delivery artefacts rather than general software tasks. Teams without a Salesforce programme have little reason to look here, and buyers should treat the efficiency figures as vendor estimates to validate in a pilot.