Rosetta

Code is becoming a commodity. Context and adoption are the value.

• Agents can now configure enterprise platforms — not just write code.
• The bottleneck moves to context: machine-readable platform & tribal knowledge.
• And to adoption: trust, governance, and change management.

Rosetta supplies both — it turns business intent into platform configuration an agent can execute, and lands through a credible 4-hour discovery.

Today, AI tooling is sold to developers only

That ceiling misses the largest technical population in every enterprise — the people who run Salesforce but are not counted as "developers."

The Salesforce Center of Excellence

• Salesforce CoEs are run by business consultants, product owners, BAs, and declarative consultants — not Java engineers.
• No one staffs an in-house custom-dev team for Salesforce — it's configured, not coded.

"I don't need my developers to be 20% more efficient. I need a completely different point of view — a SaaS replacement, or reducing the CoE that runs my Salesforce."— Enterprise CEO, on what he actually wants

One platform — a core, layers & packages

One platform for the whole implementation lifecycle

• Intake — free-form audio transcripts & brainstorming sessions, clarified into requirements with Cursor + Rosetta best practices.
• Requirements — generate business & product requirements from raw inputs.
• Estimate & plan — effort estimates and sprint plans, ready to execute.
• Configure → Docs & QA — partial config automation, documentation, and test artifacts.
• Knowledge — every project enriches the repository, smarter next time.

From free-form talk to a validated spec

• A structured diverge → converge method — not a half-baked first idea, not over-engineering.
• Research-validated brainstorming patterns — Inversion, Perspective Multiplication, and more.
• Clarify and validate before a single change ships — kills rework early.

AI is the engine. Consultants orchestrate.

• The goal isn't full automation — it's AI reliably doing 20–50% of the implementation.
• Humans validate architecture, business decisions, and complex configuration.
• Not "AI replacing consultants" — consultants become product operators who improve the knowledge that powers the next project.

It translates three languages that don't talk to each other

Like the Rosetta Stone, the product is the translation layer between intent, platform, and execution.

We package enterprise knowledge for agents

• By default, much of Salesforce's declarative config is invisible to agents — so a raw run hits trial-and-error and endless loops.
• Rosetta packages proprietary + tribal knowledge into agent-consumable form (instruction files → RAG that returns instant answers).
• Cutting the loop improves output and increases Cursor consumption — a structural win for the partnership.

A proprietary, agent-ready knowledge layer — Customertimes' accumulated knowledge of how to configure Salesforce correctly.

Institutional knowledge becomes the asset

A private, agent-ready repository of docs, patterns, config examples, snippets, and tribal knowledge — enriched by every project, monetizable on its own.

One platform, three ways to win

Add the Rosetta MCP to your Cursor agent

Drop Rosetta into Cursor or Claude Code as an MCP and your agent instantly works from Salesforce best practices, reusable templates, and CT tribal knowledge — no setup ceremony. From there, expand two ways:

Start in minutes, not months — then grow into the full motion: Discovery → Scope → Config → UAT → Training.

A win on both sides of the partnership

Start where we lead, then go wide across Salesforce

Start where Customertimes already leads — Spiff, ITSM, Life Sciences — then expand across the core Salesforce clouds.