Target-state design, data modeling, and integration architecture, with the decisions written down and agreed before a line of code is written.
Most of what goes wrong in a Salesforce program is decided in the first few weeks, in the architecture. Get the data model, the integration boundaries, and the automation strategy right, and the build is calm. Get them wrong, and no amount of delivery effort makes up for it later.
We design the target state, model the data, and choose the integration patterns deliberately, then write the decisions down so your team and ours work from the same map. The output is architecture your stakeholders can sign off and your engineers can build against.
A clear picture of where the org is heading, with the reversible and irreversible decisions called out.
An object model that fits the process your team actually runs, not a dozen objects modeling one nobody uses.
The boundaries and patterns for connecting Salesforce to the systems around it, chosen for what is expensive to get wrong.
Naming, environments, and the standards that keep the org maintainable as more people build on it.