You should not have to write code or become a terminal, MCP, and skills expert first. OrgAtlas is the packaged local product, kept current with the supported Salesforce and AI tooling behind it.
Ask in plain language when you want the result. Switch to technical detail when you want the metadata, code, commands, tests, and evidence.
Build serious Salesforce work without writing a line of code.
Describe the business result. OrgAtlas can build fields, objects, Flows, permissions, reports, local tools, automation, documentation, and deployment-ready work. You do not need to become a terminal, CLI, or MCP engineer first.
Take on more client work without rebuilding the stack for every org.
Use a separate local project for each customer org. Move from assessment to implementation, debugging, security review, testing, documentation, presentation, and handoff while the client's Salesforce workspace, data, files, and tools remain on your machine—not in an OrgAtlas cloud workspace.
Keep the control. Lose the setup work.
Work directly with Apex, Lightning Web Components, metadata, Git diffs, tests, packages, CLI output, dependency analysis, and deployments. Switch the response style to technical when you want full implementation detail.
Start with the outcome, not the Salesforce implementation vocabulary.
Ask for an explanation, calculation, investigation, local dashboard, process document, or proposed solution in plain language. OrgAtlas can create a reviewable result and identify where admin or developer approval is still required.
Stretch senior expertise before adding more headcount.
Give experienced admins, consultants, developers, or architects a packaged local agent that helps them investigate, build, document, and validate more work. People still review and own the result; OrgAtlas helps a lean team get further with the expertise it already has.
Hosted AI vendors say: trust our policies, certifications, access controls, and retention promises. We say: do not trust us with a cloud copy. We do not store one.
Your Salesforce project, prompts, business rules, source, local apps, documents, and generated work stay under your control on your machine.
See the exact boundaryEvery demo will show the full job: the request, the plan, the work, the checks, and the result. No polished clip that hides the hard part.
Describe a business workflow. OrgAtlas can inspect the architecture, create fields, objects, permissions, Flow or Apex, add tests, validate the result, and prepare or perform the deployment.
Build a case-escalation feature from request to validated deployment package.
Ask for a focused UI over Salesforce data. OrgAtlas can query the selected org read-only, create the local app and data files, register it with the local launcher, and provide a working local URL without a Salesforce deployment.
Create a local renewal-risk dashboard from Salesforce data.
Start with the symptom. OrgAtlas can trace the relevant Flow, Apex, fields, permissions, data, integrations, and logs, identify the likely root cause, implement an approved fix, and validate it.
Diagnose and repair an incorrect Case-routing automation.
Analyze permissions, field and object access, guest exposure, connected apps, code findings, and security-relevant configuration, then create a remediation plan or implement approved corrections.
Move from a security scan to permission-set remediation.
Understand bundles, options, features, constraints, product rules, subscription behavior, pricing, Billing, and renewal readiness. Generate findings, diagrams, changes, tests, and deployment work.
Find and fix a broken Salesforce CPQ bundle relationship.
Analyze modern Revenue Cloud product catalogs, categories, components, selling models, pricing structures, and configuration rules without confusing them with the older CPQ managed-package model.
Explain and validate a Revenue Cloud product model.
Use a separate local Salesforce project for each client and bind it to the intended org. Keep the source, sessions, intelligence, documents, presentations, analysis, and handoff artifacts with that project.
Move from discovery to implementation, validation, and client-ready delivery without rebuilding the AI toolchain for every engagement.
Start with a backlog item, a broken Flow, an inherited org, a security concern, a CPQ catalog, or a client deliverable.
