Salesforce + AI advisory · Architecture · Delivery

Salesforce + AI
strategy
that gets built.

GAT works with leaders to decide what to change, what to automate, and where AI belongs—then architects, builds, and launches the workflows, integrations, and systems behind the plan.

Senior guidance · Hands-on implementation · Shipped in weeks

$10K → $360K+/mo

operating growth on systems we ran

100,000+

patient messages managed

5.0

client rating

Revenue system trace

Demand → governed action → pipeline

live workflow
WebHubSpot
PartnerForms + portals
OutboundApollo

Control layer

Salesforce

system of record

IdentityPermissionsLifecycle
01Rule

Capture

02Data

Enrich

03AI

Qualify

04Rule

Route

Rep brief

AI prepares context

Follow-up

Human approves action

Attribution

Campaign state updates

Rules stay deterministicAI earns each decisionHumans approve risk

Advice that can be executed

Make the right decision. Then make it real.

GAT works with leaders to understand the operating problem, evaluate the tradeoffs, and define the smallest change that creates meaningful value. Advisory should end in a decision your team can act on—not a deck that creates another project.

When the path is clear, the same senior team can architect, build, launch, and improve it. That delivery experience makes the advice more practical, and the operating context does not disappear between strategy and implementation.

How we work →
Scattered goals flowing through a system lattice and emerging as ordered rails

Systems we built. Outcomes they supported.

$10K → $360K+/mo

Revenue operating system behind the growth

Salesforce intake, routing, follow-up, and reporting rebuilt as one operating flow.

+50%

More leads converted after follow-up automation

Sequencing and Salesforce task orchestration helped the team convert more demand from the same traffic.

36×

Conversion rate after an intake rebuild

Qualification, handoffs, routing, and follow-up were redesigned end to end instead of patched one step at a time.

Engagement results shown with client identifiers withheld. Detailed scope and evidence are reviewed during diligence.

Featured system

From scattered intake to one revenue operating flow

The value was not a single automation. It was making capture, qualification, assignment, follow-up, documents, and reporting behave like one system.

Before

Manual handoffs, uneven follow-up, fragmented visibility

System

One Salesforce lifecycle with owned stages and automation

Business change

An operating foundation that supported growth beyond $360K/month

Capture
Qualify
Route
Follow up
Report

We lead with the business lifecycle, then choose the objects, rules, integrations, and AI steps that make it dependable.

Read the system dossiers →

Platform coverage

Salesforce at the center. The operating stack connected around it.

Sales Cloud, Service Cloud, and Experience Cloud connected to the marketing, service, communications, document, data, and AI tools the workflow already depends on.

Sales Cloud logoSales Cloud
Service Cloud logoService Cloud
Experience Cloud logoExperience Cloud
Salesforce Platform logoSalesforce Platform
HubSpot logoHubSpot
Slack logoSlack
Twilio logoTwilio
Jira logoJira
DocuSign logoDocuSign
Adobe Sign logoAdobe Sign
Stripe logoStripe
Apollo logoApollo
ZoomInfo logoZoomInfo
LinkedIn logoLinkedIn
Google logoGoogle
AWS logoAWS
Bitbucket logoBitbucket
ChatGPT logoChatGPT
Claude logoClaude
Zoom logoZoom
Zapier logoZapier
QuickBooks logoQuickBooks
NetSuite logoNetSuite
Xero logoXero
Outreach logoOutreach
Salesloft logo
Gong logo
Five9 logo
RingCentral logo
Dialpad logo
Marketo logo
Mailchimp logoMailchimp
Klaviyo logo
Calendly logoCalendly
PandaDoc logo
n8n logon8n
Snowflake logoSnowflake
monday.com logomonday.com
Notion logoNotion

What we advise and build

Improve the operating system, not just the software

Each engagement begins with a lifecycle the business needs to run. We decide what must change, where Salesforce belongs, and which surrounding systems need to connect.

Explore operating systems →

AI consulting · adoption · engineering

Turn AI access into a new way of working

GAT helps teams adopt Claude and ChatGPT, connect them to real systems, and build the governed workflows, RAG, agents, and chat experiences that off-the-shelf tools do not provide.

We are product- and model-aware, not vendor-led. The operating job determines the workspace, connection pattern, controls, and level of custom engineering.

Claude logo

Work surface

Claude

Workspace rollout and role-based adoption for deep thinking, finished knowledge work, and agentic execution.

  • Claude Cowork
  • Claude Code
  • MCP + Skills
OpenAI logo

Work surface

ChatGPT

Business and enterprise adoption with governed access to company knowledge, approved actions, and repeatable team workflows.

  • Workspace rollout
  • Plugins + apps
  • Custom MCP

AI-augmented delivery trace

Approved context → senior judgment → verified work

consultant owned

Approved client context

Salesforce
HubSpot
Jira
Slack
ApexGenius · Salesforce MCP
Custom MCP + APIsOAuth + least privilege

AI workbench

Claude
ChatGPT

Context retrieval, analysis, drafts, tool use, and execution support.

Accountable owner

Senior GAT consultant

AdministratorDeveloperArchitectGo-to-Market Systems EngineerAI Engineer
01

Inspect

AI gathers live system context

02

Decide

Consultant sets design and risk

03

Build

AI accelerates config, code, and docs

04

Verify

Consultant tests and approves release

Architecture
Configured system
Test evidence
Release + runbook
AI accelerates repeatable workConsultants own every decisionTests + approvals gate release

Custom adoption or engineering

Work with GAT

Workspace rollout, workflow redesign, custom connections, RAG, chatbots, agents, governance, enablement, and ongoing operation.

Packaged Salesforce connector

Start with ApexGenius

The Salesforce MCP GAT built so teams can work with records, metadata, and approved actions from Claude or ChatGPT.

Claude and ChatGPT marks identify supported AI work surfaces. GAT is an independent consultancy; no vendor endorsement is implied.

How GAT works

From operating question to working system

01

Understand the operation

Map the workflow, the people in it, the systems involved, and the business consequence of leaving the problem unchanged.

02

Decide the right move

Compare the options and decide what to redesign, integrate, automate, replace, or leave alone.

03

Architect and deliver

Turn the recommendation into a working system with clear ownership, controls, integrations, and measures of success.

04

Make it operable

Test against the real workflow, train the team, document the decisions, and establish how the system will improve over time.

Why flexible senior coverage

Your Salesforce roadmap is bigger than one admin

The work changes shape. One month needs architecture and integration depth; the next needs administration, reporting, adoption, or AI engineering. GAT keeps the operating context intact while the specialist mix flexes.

Depth without five hires

Administration, development, architecture, go-to-market systems, and AI are available under one engagement.

Context stays with the practice

The same practice carries decisions from the business workflow through releases and ongoing operation.

Capacity follows the roadmap

Scale depth for a launch, then flex to the ownership and improvement work the system needs next.

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

Ways to work with GAT

Start with the decision. Continue through delivery.

Begin with the operating question in front of you. Engage GAT for the recommendation, the implementation, or the long-term ownership needed to keep the system useful.

Advisory + roadmap

Map the problem and the right next move

Workflow discovery, option analysis, platform and AI decisions, target-state design, and a prioritized roadmap your team can act on.

Start with a working session →

Architecture + implementation

Carry the recommendation through launch

Detailed architecture, Salesforce delivery, integrations, automation, AI workflows, testing, enablement, and a clear operating handoff.

Explore delivery services →

Ongoing systems ownership

Keep the roadmap moving

Flexible senior coverage to operate the platform, guide new decisions, ship improvements, and preserve the context behind the system.

Explore ongoing ownership →

Initial advisory working session

Bring us the operating question. Leave with a clearer next move.

  • 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