Implementation
Sales Cloud, Service Cloud, and the go-to-market (GTM) processes that connect them—designed and delivered by AI-augmented Salesforce admins, developers, and architects. Whether you're starting from a blank org or rescuing a stalled build.
Most Salesforce implementations fail the same way: months of discovery theater, a delivery bench you never met on the sales call, and an org that mirrors a workshop whiteboard instead of how your team actually sells. We built our implementation practice as the antidote — fixed scope, senior by default, live in weeks.
We design GTM-first. How leads arrive, how deals advance, how customers get served, and what leadership needs to see — then Sales Cloud and Service Cloud are configured to match. One senior team runs the whole engagement, so we advise, build, and deliver without anything getting lost between the strategy deck and the build.
That model works for greenfield builds and rescues alike. AI accelerates discovery, migration mapping, documentation, and test preparation; senior people still own the data model, permissions, integrations, reporting, release path, and every production decision. When AI belongs in the solution itself, readiness is treated as an architecture decision—not a feature switched on at the end.
Who this is for
You bought the licenses; now you need a working revenue system, not a blank org.
A partner left you mid-build, over budget, or with an org nobody trusts.
The quick setup that got you here can't support the way you sell now.
Capabilities
Leads, opportunities, pipeline stages, forecasting, and quoting configured around your actual sales motion — not the default picklists.
Cases, queues, entitlements, and Omni-Channel routing, so support runs on the same system revenue does.
Lifecycle stages, lead routing, sales-to-CS handoffs, and the reporting leadership actually opens — designed before a single field is built.
Spreadsheets and legacy CRMs imported clean — deduped, mapped, and validated — so the new org starts trustworthy.
Email, calendar, marketing, and billing tools connected at launch, so the org reflects reality from day one instead of quarter three.
Documentation, training, and a permission model designed for what's next — Claude, ChatGPT, and Agentforce ready when you are.
Outcomes
Every figure below comes from a GAT client engagement and is attached to the operating system that produced the change.
$10K → $360K+/mo
A services business scaled monthly revenue from $10K to $360K+ on systems GAT designed and ran — lead routing, pipeline automation, and reporting the team actually used.
GAT Solutions brought strong Salesforce and development depth, communicated clearly, delivered within the agreed timeframe, and earned the client's confidence for future work.
How we deliver
01
We start with the workflow, not the feature request—where work stalls, ownership breaks, data loses meaning, or teams compensate by hand.
02
Senior consultants design and ship the build in weeks — Salesforce, integrations, and AI where it earns its place.
03
Documentation, enablement, controls, and instrumentation ship with the build so your team can run it and see what is working.
Questions
