Salesforce Implementation
Renvric implements Salesforce in iterations that business users can see: data and sharing model first, then configured Sales, Service or Experience Cloud, Flow and Apex where needed, integrations, migration rehearsals, user acceptance and a supported launch. The plan is shaped around governor limits, data quality and adoption, the three areas where Salesforce projects usually slip.
Start your project
How a Salesforce implementation is shaped
Salesforce favours iterative delivery. Because configuration is fast, the risk is not that nothing can be shown, but that too much is shown too early, built on a data and security model nobody agreed. Renvric therefore fixes the foundations first, then delivers working increments in sprints, each demonstrated to the people who will use them.
Implementation phases
Discover and design
Confirm users, processes, data sources and integrations. Agree the object model, record types and the sharing model, with acceptance criteria in writing.
Foundation build
Set up environments, source control and deployment. Configure users, permission sets, core objects and record layouts.
Iterative build
Deliver processes as sprint increments using Flow first, with Apex and Lightning Web Components where configuration is not enough.
Integrate and migrate
Build and test integrations and rehearse data loads with deduplication and reconciliation.
Test and launch
Run user acceptance and regression testing, train users, deploy, then support the first weeks in use.
Decisions that cannot wait
- Organisation-wide defaults and role hierarchy, since loosening access is easy but tightening it after launch disrupts users.
- Whether customers and partners need Experience Cloud and which licence type their roles imply.
- The source of truth for accounts and contacts when other systems also hold them.
- Which automation tool owns each process, so Flow, triggers and legacy rules do not collide.
- The sandbox plan and who may deploy to production.
Share the outcome you need and Renvric will recommend the smallest useful next step.
Data migration and integration
Migration begins with deciding what history is worth carrying across, then profiling, deduplicating and mapping source fields to objects. Loads use tools suited to volume, such as the Bulk API, and are rehearsed in a full-copy or partial-copy sandbox, with reconciliation counts checked each time. Integration is designed around API limits and bulk behaviour; with MuleSoft or another integration layer, each flow has retry handling, logging and a named owner.
Governor limits and why they shape design
Salesforce runs many customers on shared infrastructure, so it enforces per-transaction limits on queries, record changes and processing time. Code that performs a query inside a loop may pass a test with five records and fail on a data load of two hundred. Renvric designs for bulk behaviour from the first line, tests with realistic volumes, and keeps logic that can be configured out of Apex wherever possible.
Why Salesforce implementations overrun
- Scope grows through small customisations that each seem reasonable but together form an unmaintainable application.
- Source data is cleaner in the plan than in reality, and duplicate resolution takes weeks.
- Integrations with finance or ERP systems depend on teams outside the project.
- Users are trained once, late, on a sandbox that no longer matches production.
- No one owns the platform after launch, so the first request backlog arrives with no capacity to answer it.
Common questions
What are the phases of a Salesforce implementation?
The phases are discover and design, foundation build, iterative build, integrate and migrate, then test and launch. The foundation covers environments, security and the data model. Each phase has written exit criteria, and users see working increments during the iterative build rather than only at the end.
How are data migration and integration handled on Salesforce?
Migration is profiled, mapped, deduplicated and rehearsed several times in a sandbox, with reconciliation reports checked by data owners. Integrations are designed for bulk volumes and API limits, with retries, logging and monitoring, and are tested against realistic data before go-live.
What causes Salesforce implementations to overrun?
Frequent causes include accumulating custom features, dirty source data, dependencies on teams that own connected systems, late or one-off training, and no post-launch ownership. Renvric limits them with a design authority, early migration rehearsals, tested integrations and an agreed support plan.
How is testing and go-live managed?
Developers write automated Apex tests, while business users run acceptance scripts in a realistic sandbox. A deployment plan is rehearsed, a go or no-go decision uses agreed criteria, and the first weeks after launch are covered by hypercare so issues are resolved while the context is fresh.
What support follows go-live?
A hypercare period addresses early defects and adoption issues. After this, ongoing support can cover admin requests, small enhancements, seasonal release testing and periodic org health checks. Response arrangements are defined in the contract rather than assumed.
More services to explore
Acceptance rests on criteria agreed in the design phase: processes demonstrated end to end, migration reconciled, test results by role and a rehearsed deployment. After launch, a hypercare period addresses early defects and adoption questions, and ongoing support can follow. Renvric recommends a project-based engagement for the build, with the broader context in Salesforce services and enterprise platform services.
All Salesforce product names used here are trademarks of their owner; Renvric is an independent services provider and is not endorsed by or affiliated with the vendor.