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Org Discovery foundation
Read-only OAuth scan → executive-grade reports on tech debt, process mining, security, and license fit. The foundation every package builds on.
A toolset and agentic library to self-manage Salesforce with Claude Code and Cursor — AI-native org discovery and customizing, powered by a living library of agents and an agentic knowledge database of Salesforce best practices, so your agents act right the first time.
Ingest requirements from discovery workshops, documents, Excel, ServiceNow, or an existing org — and carry them all the way to working configuration, documentation, and reusable knowledge.
Workshops, documents, Excel, ServiceNow, or existing Salesforce orgs.
Generate business & product requirements from raw inputs.
Effort estimates and sprint plans, ready to execute.
Automate part of the Salesforce configuration — flows, rules, setup.
Documentation, testing artifacts, and implementation guides.
Every project enriches the repository — smarter next time.
Every package is a set of reusable templates and skills your agent loads to do real work — all powered by the one thing no other tool has.
Other tools document, visualize, or generate code. Rosetta's core actually customizes Salesforce — agents that configure your org declaratively, backed by a living, agentic knowledge base of Customertimes' tribal knowledge and Salesforce best practices. That expertise makes your agents act like a senior Salesforce architect.
Read-only OAuth scan → executive-grade reports on tech debt, process mining, security, and license fit. The foundation every package builds on.
Guided, declarative org configuration — flows, automations, validations, profiles — driven from a wizard the agent runs against your org. Turns requirements into setup.
Testing agents and templates that exercise every customization we ship — flows, UI, and business logic — driven by agentic tools with headless browsers and computer vision, with coverage and regression checks alongside each change, all presented in a human-approvable format.
Living docs generated from the org and the decisions behind it — config rationale, runbooks, and admin guides that stay current with every delta scan.
Turn shipped configuration into role-based training videos and walkthroughs automatically — adoption material generated from the work itself.
After go-live you get a living, customizable environment that agents keep running — changes, delta scans, tests, and updates handled with diff-review and less human labour over time.
The goal isn't full automation. When AI reliably performs 20–50% of the implementation — while experienced consultants validate architecture, business decisions, and complex configuration — the value is already compelling. Consultants shift from doing every task to operating the platform and improving the institutional knowledge that powers the next project. This is not AI replacing consultants; it's consultants becoming product operators.
Authorize read-only OAuth to a Salesforce org. Rosetta installs as an MCP toolset in Claude Code or Cursor — BYO LLM.
The agent scans the org and loads CT tribal knowledge so it understands your platform, not just generic Salesforce.
Run any of the five packages from your IDE — setup, tests, docs, test tooling, training — with full diff review on every change.
Every project feeds the template library. Your agent gets better at your org with each engagement.
A private repository — like Context7, but for Salesforce delivery — combines public docs, implementation patterns, configuration examples, code snippets, and tribal knowledge from past projects. Every completed project enriches it, so the platform gets smarter over time. These reusable knowledge products improve quality while cutting token consumption and engineering effort.
An implementation accelerator that analyzes customer environments, identifies optimization opportunities, speeds deployments, and supports migrations such as Veeva → Life Sciences Cloud.
Differentiate Customertimes from other system integrators with an AI-powered implementation platform — not traditional consulting capacity.
Provide the differentiated, reusable assets these platforms want — AI implementation frameworks, accelerators, configuration knowledge, templates, and MCP integrations that drive adoption.
From individual exploration to enterprise rollout with embedded engineers.
Embed Customertimes engineers inside your CoE to stand up the toolset, codify your org's tribal knowledge, and drive adoption. Choose your pod size.
Lighthouse project — one workflow or cloud, proof of value.
Multi-cloud rollout across the Center of Excellence.
Full transformation — discovery, build, adoption at scale.
Book a discovery scan and see the toolset run against your own org.
Book a scan