Salesforce + go-to-market systems · Applied AI consulting

Build the system. Keep the expertise behind it.

Choose a fixed-scope implementation for a defined business outcome or ongoing systems ownership with a flexible mix of Salesforce administrators, developers, architects, Go-to-Market Systems Engineers, and AI engineers. Fractional and embedded coverage fit inside that second path.

Book a Consultation Compare the two paths ↓

What are go-to-market systems? →

Two ways to engage

Choose the ownership model that matches the work

Both paths can span Salesforce, the go-to-market (GTM) stack around it, and production AI. The difference is the horizon: deliver a defined system, or keep the right mix of expertise available to run and improve it.

Implementation

Defined outcome · launch

Implement or rebuild the operating system

GAT takes a broken or undefined business motion from discovery through architecture, build, validation, launch, and handoff. The scope follows the workflow, not the boundaries of one Salesforce license.

Systems this path can deliver

Sales Cloud revenue systems, from intake and lead routing through pipeline, attribution, and forecast
Service Cloud operations with cases, Omni-Channel, priority, entitlement, SLA, and escalation logic
GTM systems across HubSpot, forms, CTI, enrichment, documents, billing, data, and APIs
Migrations, integrations, automations, reporting, security, testing, enablement, and release design

AI engineering inside this path

RAG and retrieval pipelines, model and tool integrations, evaluations, governed production actions, customer and employee chatbots, and sales or service assistants. That can include authenticated patient-to-nurse messaging with Salesforce context, routing, human handoff, and an audit trail, while clinical judgment stays with people.

Representative platform layer

Sales Cloud
Service Cloud
HubSpot
ChatGPT
Claude

Explore implementations Discuss a build

Ongoing ownership · Fractional & managed

Flexible depth · one roadmap

Put the right mix of systems expertise behind the roadmap

GAT operates Salesforce, improves the connected GTM stack, and turns priorities into safe releases. The mix can flex across administration, development, architecture, GTM systems engineering, and AI as the work changes.

Ongoing practice coverage

One accountable systems partner

A shared roadmap with the right GAT disciplines brought into administration, development, architecture, integrations, releases, system health, documentation, and adoption.

Fractional or embedded specialist

A named person when the lane is clear

An administrator, developer, architect, GTM Systems Engineer, or AI engineer works inside your team, backed by GAT review, standards, continuity, and broader depth.

Roadmap and backlog tied to business priorities
Configuration, code, integrations, and automation
Release planning, testing, monitoring, and recovery
Salesforce, GTM, service, data, and AI system ownership

Systems GAT can own

Salesforce
HubSpot
Jira
Slack
AWS

Explore ongoing ownership Need one specialist?

AI consulting across both paths

Adoption and engineering, not just AI-assisted delivery.

Claude · Cowork · Code

ChatGPT · Plugins · Apps

GAT helps teams adopt Claude and ChatGPT, connect them through MCP and APIs, and redesign the work around them. We also build RAG, customer and employee chatbots, workflow agents, evaluations, monitoring, and human approval paths when the use case needs custom engineering.

AI adoption & workflows →RAG, agents & chatbots →

AI also accelerates GAT's own discovery, analysis, mapping, testing, and documentation. Senior practitioners still own architecture, access, validation, exceptions, and every production decision.

Specialist capabilities

The disciplines inside each path

Start with implementation or ongoing ownership. GAT assembles the specialist work underneath that decision around the business outcome.

Implementation capabilities

Build + launch

Salesforce implementation

Greenfield builds and implementation rescues across Sales Cloud, Service Cloud, Omni-Channel, data, security, Flow, Apex, and reporting.

Integrations

Reliable flows between Salesforce, HubSpot, forms, CTI, enrichment, documents, support, billing, and custom applications.

Automation sprints

Focused delivery for intake, routing, attribution, notifications, approvals, deduplication, and cross-platform handoffs.

AI engineering & RAG

Retrieval pipelines, RAG systems, model and tool integrations, evaluations, governed actions, and production monitoring.

Agentforce consulting

Business-case and use-case strategy, Flex Credit planning, Salesforce readiness, agent implementation, testing, launch, and optimization.

AI adoption & workflow engineering

Claude, Claude Cowork, Claude Code, ChatGPT, MCP, role-based workflows, governance, and secure connections to business systems.

Salesforce MCP consulting

Hosted MCP, ApexGenius, Agentforce, or custom MCP architecture with identity, permissions, approved actions, testing, rollout, and operation.

Inside ongoing systems ownership

Run + improve

Behavioral health implementations · Verified client review

Initial systems consultation

Bring the operating problem. We’ll map the build or ownership model it needs.

Book a Consultation See the results

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