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A Sales Cloud implementation timeline depends primarily on the number of users, the complexity of your sales process and data model, the number of integrations required, and how much legacy data needs to be migrated. For a straightforward implementation covering one sales team of 20–50 users with a single sales process, limited customisation, and one or two simple integrations: 8–12 weeks from kick-off to go-live is typical. For a more complex implementation covering multiple regions or product lines, extensive custom automation, CPQ, and multiple ERP or marketing integrations: 16–24 weeks is more realistic. The most important input to an accurate timeline estimate is the availability of your stakeholders for discovery workshops and UAT — implementations that stall because key business stakeholders are unavailable for sign-off take significantly longer than those with committed, available business sponsors. We always produce a detailed project plan with milestone dates and stakeholder time commitments in the first week of every engagement so expectations are set clearly before build begins.

In almost all cases, yes — and rebuilding from scratch is rarely the right answer even when a Salesforce org is in poor shape. The first step is a thorough diagnosis of why adoption is low, because the root cause determines the right intervention. Low adoption typically stems from one or more of: a data model that does not match the real sales process (users have to work around Salesforce rather than with it); dashboards and reports that do not answer the questions users actually care about; too many required fields or mandatory steps that add friction without adding value; automation that fires incorrectly and creates bad data that users do not trust; or simply a lack of training on the features that would make users' jobs easier. Each of these is addressable without a rebuild — and much faster than starting over. Our org rescue service starts with a diagnostic phase that identifies the specific friction points driving low adoption, and prioritises the fixes that will deliver the fastest improvement in user confidence and engagement.

Our Managed Support retainer provides a named SourceMash Salesforce resource who is accountable for the health and evolution of your Salesforce org on an ongoing basis. In practice, this means: user support tickets (access issues, data questions, configuration change requests) submitted via a SourceMash helpdesk portal with SLA-backed response and resolution times; a weekly or bi-weekly backlog grooming call where we review enhancement requests, prioritise the work, and confirm sprint scope; fortnightly delivery of configuration changes from the approved backlog with documentation; proactive monitoring that alerts us to storage limits, integration failures, and governor limit trends before they become incidents; and three times per year, a Salesforce release review that identifies features you should adopt and changes you need to make before the release goes live. The practical experience for clients is that they have a Salesforce expert available on short notice without the overhead of managing a full-time internal administrator — and that their Salesforce org evolves with the business rather than accumulating the technical debt and misalignment that typically results from ad-hoc administration.

The right integration approach depends on the complexity of your integration requirements, the number of systems involved, and your organisation's tolerance for integration platform management overhead. MuleSoft makes sense when you have a complex, multi-system integration landscape (five or more systems integrated with each other, not just with Salesforce), when the integration logic is genuinely complex and benefits from the API-led connectivity approach, when you need integration capabilities that extend beyond Salesforce (for example, integrations between systems that do not involve Salesforce at all), and when you have the technical team or managed service capability to operate an additional platform. Salesforce-native integration (REST callouts, Platform Events, Outbound Messaging, Salesforce Connect) makes sense for simpler, Salesforce-centric integration requirements — typically one to three integrations where Salesforce is the hub, where data volumes are manageable within API limits, and where you want to keep the integration logic inside the Salesforce platform rather than adding another platform to manage. We are MuleSoft certified and have no financial incentive to recommend MuleSoft when native integration is the right answer — and in many mid-market implementations, Salesforce-native integration is more practical and significantly lower total cost of ownership than a full MuleSoft implementation.

Our data migration process has three phases that we treat as non-negotiable: pre-migration data audit, migration execution with iterative sandbox testing, and post-migration validation before decommissioning the source system. The pre-migration audit is where most of the value is delivered — we analyse your source data for duplicate records, inconsistent formats, missing required fields, and data that does not map cleanly to Salesforce's data model, and we address these issues in the source data before migration rather than importing dirty data and cleaning it in Salesforce afterwards. Migration execution is done in multiple rounds: first to a developer sandbox, then to a full sandbox loaded with a representative production-scale data sample, and finally to production — with validation scripts run after each round that compare source and destination record counts and spot-check field values. The source system is not decommissioned until we have validated that every critical record has migrated correctly and that users can perform their day-to-day workflows in the new Salesforce org without needing to reference the old system. We have never had a migration require rollback — because the iterative testing and validation process identifies issues before they become a production problem.