Rosetta
We speak your org's language.
The AI-native delivery stack for enterprise business-critical platforms — from org discovery through deploy, without writing custom code.
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 business-critical platforms but are not counted as "developers."
The enterprise-platform Center of Excellence
- CoEs are run by business consultants, product owners, BAs, and declarative consultants — not Java engineers.
- No one builds an in-house "SAP custom dev team." These platforms are 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 of my business-critical apps."— Enterprise CEO, on what he actually wants
One platform, two layers
Reads the org, produces reports
Read-only OAuth → ingest metadata & event logs → 12 executive-grade reports in 4–6 hours. One scan arms the CFO, Head of Sales, CIO, and VP of Platforms.
"What a Big-4 partner charges $250K to produce — generated in hours."
Changes the org, carries decisions forward
Turns requirements into configuration, not just code — flows, automations, validations — via CLI with full diff review.
Scope decisions carry forward into the build through a versioned crosswalk.
One platform for the whole implementation lifecycle
- Intake — workshops, documents, Excel, ServiceNow, existing Salesforce orgs.
- 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.
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, declarative docs for SAP, Databricks & much of Salesforce are 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.
Think context7 — but proprietary: Customertimes' accumulated knowledge of how to configure these platforms correctly.
Institutional knowledge becomes the asset
A private, Context7-style repository of docs, patterns, config examples, snippets, and tribal knowledge — enriched by every project, monetizable on its own.
One platform, three ways to win
Implementation accelerator
Analyze environments, find optimizations, speed deployments, support migrations — Veeva → Life Sciences Cloud.
AI-powered SI
Differentiate Customertimes as a platform, not consulting capacity.
Reusable assets
Frameworks, accelerators, configuration knowledge, templates, MCP integrations that drive adoption.
Land on a 4-hour scan. Expand two ways.
Evolution, not revolution
Drop into an existing CoE and speed it up without ripping anything out. Turn an 80-person Salesforce CoE into power-user builders. Lowest-risk land.
A different point of view
Rebuild expensive platform workflows with Cursor-powered, identical-behavior config — e.g. a Marketing Cloud replacement. Higher value, handled with care.
Motion: Discovery → Scope → SOW → Config → UAT → Training, then recur via delta scans & managed change.
A win on both sides of the partnership
A new TAM beyond developers
Unlocks the enterprise-platform CoE — business users who never showed up in "how many developers do you have?" — plus more consumption per seat.
From billable hours to transformation
Shifts the revenue base to discovery, configuration, migration, adoption & the knowledge layer — without cannibalizing managed services.
One pattern, every business-critical platform
Every platform with a Center of Excellence is the same opportunity: translate intent into configuration an agent can run.
Configuration is commoditizing. Context and adoption are the new value. Rosetta owns the translation between them — and turns a services business into an AI-native transformation business.
Shape the play with Cursor
- 1 Define the product vision (1–2 page doc) & compile all use cases.
- 2 Build an end-to-end POC: intake → analysis → estimation → sprint → config → docs → QA.
- 3 Formalize the Cursor partner motion (intro → Elise Martisic).
- 4 Align on the roadmap early next week.
rosetta@customertimes.com · Built on Cursor — MCP-native, BYO LLM, diff-reviewed.