Ongoing systems ownership · Fractional & managed services

Your Salesforce roadmap is bigger than one admin

GAT provides the right mix of Salesforce administration, development, architecture, go-to-market systems engineering, integrations, and AI as the roadmap changes—without hiring every specialty full time.

  • 50+ Salesforce projects
  • 100+ integrations
  • 5.0 client rating
  • 6+ years Salesforce

A healthy Salesforce environment needs different kinds of depth at different moments. GAT keeps one roadmap and operating context while flexing the mix of administrators, developers, architects, GTM Systems Engineers, and AI engineers around the work that is actually next.

The work extends beyond Salesforce when the outcome does. We own the connected system across HubSpot, CTI, enrichment, support, billing, data, and automation—including lead routing, attribution, Omni-Channel, service workflows, and management reporting.

AI accelerates discovery, analysis, documentation, test scaffolding, migration mapping, and release review. Senior people still own architecture, security, validation, and every production decision.

Engagements are month-to-month after an initial term, scoped in plain language, and delivered by a deliberately small senior practice. The same core people keep the operating context while specialist depth changes with the roadmap.

Who this is for

Built for teams like yours

Lean Salesforce and RevOps teams

One person is carrying administration, releases, reporting, and a cross-platform backlog.

  • Flexible senior coverage across administration, development, and architecture
  • A prioritized operating roadmap instead of an unmanaged ticket queue
  • Escalation-grade help when releases, integrations, or data break

Scaling businesses with a connected stack

Salesforce works, but routing, attribution, service, and the surrounding tools do not work as one system.

  • Salesforce, HubSpot, CTI, enrichment, support, and billing ownership
  • Lead routing, Omni-Channel, attribution, and lifecycle automation
  • One architecture across platform boundaries and team handoffs

Teams replacing reactive support

The current partner closes tickets but nobody owns system health or business outcomes.

  • Senior-by-default delivery across administration, development, architecture, and GTM systems
  • Outcome-scoped months with visible releases and operating measures
  • AI-augmented execution that compresses routine work without weakening controls

Capabilities

What ongoing systems ownership can cover

Architecture & roadmap

Org strategy, data model decisions, release planning, and the 'should we even build this' calls that save quarters of rework.

Administration & operations

Flows, permissions, page layouts, reports, dashboards, and the unglamorous hygiene that keeps an org trustworthy.

Development & integration engineering

Apex, LWC, and API work delivered with tests, release controls, and documentation your team can maintain.

Sales, service & GTM systems

Lead lifecycle, routing, attribution, Omni-Channel, case operations, and Salesforce connected to marketing, enrichment, support, billing, and custom APIs.

AI & automation

Claude and ChatGPT workflows, Agentforce, and n8n automations added where they remove real hours — governed, not bolted on.

Releases, enablement & documentation

Release planning, production validation, and documentation with every change. Your team learns the system as we build it, so knowledge never walks out the door.

Outcomes

Numbers with stories attached

Every figure below comes from a GAT client engagement and is attached to the operating system that produced the change.

$10K → $360K+/mo

Revenue operations rebuilt around Salesforce

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.

+50%

More leads converted with automated follow-up

Automated sequencing and Salesforce task orchestration converted half again as many leads from the same traffic.

GAT Solutions helped build the Salesforce system almost entirely from scratch, with thoughtful solution design, clear communication, and dependable delivery.

Greenfield Salesforce system · Verified client review

How we deliver

From operating problem to a system your team can run

  1. 01

    Map the operating friction

    We start with the workflow, not the feature request—where work stalls, ownership breaks, data loses meaning, or teams compensate by hand.

  2. 02

    Build the smallest system that works

    Senior consultants design and ship the build in weeks — Salesforce, integrations, and AI where it earns its place.

  3. 03

    Make the system operable

    Documentation, enablement, controls, and instrumentation ship with the build so your team can run it and see what is working.

Questions

Frequently asked questions

How is this different from hiring a Salesforce admin?
You get admin, developer, architect, integration, and GTM systems coverage in one engagement—the range a single hire rarely covers without recruiting several roles. AI helps us compress routine analysis, documentation, and test work, while senior consultants remain accountable for every production decision.
What does AI-augmented delivery mean?
We use AI inside our delivery process for discovery synthesis, code and configuration analysis, documentation, test scaffolding, migration mapping, and release review. It makes the team faster and more thorough; it does not replace architecture judgment, security review, validation, or human accountability.
What does a typical month look like?
A shared roadmap with a small number of outcome-scoped priorities, weekly shipped work, async communication in your tools, and a monthly review of what changed, what it did, and what's next.
Is there a minimum commitment?
Engagements start with an initial term of a few months so real systems can ship, then run month-to-month. Scope flexes as your priorities do.
Who actually does the work?
Senior consultants only — the people you meet on the first call. GAT is deliberately small; nothing gets handed to a bench of juniors.
Can managed services include AI like Claude or Agentforce?
Yes. MCP connections, AI workflows, Agentforce, Claude, ChatGPT, and n8n can be implemented inside the same managed engagement when they have a clear operating job and an appropriate security model.
What does it cost?
Scope drives price. Book a consultation and GAT will recommend a defined build, ongoing ownership, or a narrower specialist engagement based on the roadmap and operating risk.

Initial systems consultation

Put the right systems coverage behind the roadmap.

  • You leave with
  • A focused consultation with a senior systems consultant
  • A current-state fit and architecture read
  • A recommended path — implementation, ongoing ownership, or product