Salesforce
RSC Standard works across the full Salesforce platform — from core CRM configuration to multi-cloud architecture, custom application development, and enterprise integration. Architect-led, technically accountable, end to end.
Overview
RSC Standard works across the full Salesforce platform — from core CRM configuration to multi-cloud architecture, custom application development, and enterprise integration. Our engagements are architect-led, which means technical decisions are made by senior practitioners who understand the platform's capabilities and constraints, not delegated down after the sale.
We work with organizations that are building Salesforce environments from the ground up, rationalizing platforms that have grown without a coherent design, or extending Salesforce into adjacent systems and data sources. Whether the scope is a single cloud or a cross-platform transformation, we bring the same level of technical rigor to the engagement.
What We Do with Salesforce
- Customer 360 & Multi-Cloud Architecture — design and implement cohesive architectures that span multiple Salesforce clouds, ensuring consistent data models, shared identity, governed data ownership, and coherent process flows across the platform
- Sales Cloud, Service Cloud & Experience Cloud — configure and extend core CRM capabilities including pipeline management, case handling, entitlements, knowledge, and customer-facing portals and communities
- Revenue Cloud (CPQ & Billing) — implement quoting, pricing, contract lifecycle, and billing processes, including AI-assisted and rule-governed workflows as Salesforce continues to evolve Revenue Cloud, including complex product catalogs, approval workflows, and revenue recognition requirements
- Marketing Cloud & B2C/B2B Commerce Cloud — build and integrate customer engagement and commerce solutions, where appropriate based on organisational readiness and platform fit, including journey automation, segmentation, storefront configuration, and order management
- Data Cloud & Identity Resolution — unify customer data from disparate sources using Salesforce Data Cloud, with attention to data consent, governance, and compliance, including ingestion pipeline design, identity resolution configuration, and activation to downstream clouds
- MuleSoft API Integration — design and build integration layers using MuleSoft Anypoint Platform, including API-led connectivity patterns, system integrations, and event-driven architectures connecting Salesforce to enterprise systems
- Heroku Application Development — develop custom applications on Heroku that extend Salesforce functionality beyond platform limits, where native Salesforce capabilities are insufficient, with secure, scalable connectivity back to Salesforce data and processes
- Agentforce & Einstein AI — architect and deploy AI agents using Agentforce, with governed data access, human-in-the-loop controls, and production monitoring, and implement Einstein-based predictive analytics, scoring models, and generative AI features across Sales, Service, and Marketing contexts
- Tableau BI — design and deliver analytics solutions using Tableau, including data source modeling, dashboard architecture, and integration with Salesforce and external data environments
- Industry Clouds & Mission-Driven Solutions — implement Salesforce standard Financial Services Cloud, Health Cloud, Manufacturing Cloud, Nonprofit Success Pack, and Education Data Architecture for organizations with domain-specific data and process requirements
- Slack Integration — integrate Slack with Salesforce workflows, automations, and notifications to surface CRM data and process actions directly within team collaboration contexts
Why RSC Standard
Most Salesforce engagements fail at the architecture layer — not the configuration layer. RSC Standard is structured so that the people who design the solution are the same people accountable for delivering it. We don't staff projects with junior resources executing against a design they didn't build. Our teams are small, senior, and technically accountable end to end. That structure produces cleaner implementations, fewer rework cycles, and platforms that hold up as requirements evolve.