Most Salesforce shops sell hours. We ship outcomes. Our Practice was built around the question that matters: does the org actually use what we built six months later? 42 implementations, every one in production, none re-platformed since. Sales, Service, Health, Financial, Experience, Marketing, MuleSoft, and now Agentforce — under one roof, one delivery cadence, one accountable team.
Agent topology design, action library construction, prompt engineering, and the messy work of grounding agents in your data. Five live deployments.
FSC for wealth, banking, and insurance. Health Cloud for payer and provider. Industry models bent — never broken — to the customer's reality.
SFMC Journey Builder, AMPscript, SSJS, Data Extensions, Einstein Send-Time. CDP integration for unified profiles.
Custom LWC components, complex sharing models, Omni-Channel routing, Einstein Bots. Where most orgs need taste, not magic.
Anypoint Platform, API-led connectivity, RAML/OAS, runtime fabric. Where Salesforce meets the rest of the stack.
Profile unification, identity resolution, calculated insights, and the activation paths that make a CDP earn its license fee.
A 5,200-case-per-week support org had been tuning Einstein Bots for three years with marginal gains. We rebuilt around Agentforce — 18 grounded actions, six data sources, and a careful escalation handoff that protected agent trust. Resolution speed 3.2× faster on Tier-1 contacts. 47% true deflection without CSAT penalty.
Apex is the last resort, not the first. Flow first. Validation rules first. Custom code only when the platform genuinely can't do it — and never to save five clicks.
We design the sharing model before the first object. Public-Read-Write is a decision, not a default. We've never had to re-architect a sharing model post-launch.
We test against pre-release pilot orgs every cycle. Critical Updates and deprecations are tracked in a quarterly dashboard the whole practice owns.