San Francisco Bay Area · Northern California · Remote Nationwide info@ittotalservice.com (650) 753-7729

Systems Engineering for Modern Business

AI automation. Enterprise IT. One engineering partner.

IT Total Service designs, secures, and automates the technology your business runs on—from identity, cloud, endpoints, and networks to custom AI agents and workflow automation.

25+Years in IT & Systems Engineering
24/7Critical Case Coverage
Bay AreaOn-site + Nationwide Remote
AI agents & workflow automation
Identity, cloud & endpoint management
Networks, security & continuity
Managed IT & technical documentation

Systems Engineering for Business

Solve the business problem—not just the ticket.

IT Total Service helps growing companies modernize the systems behind their work. We connect infrastructure, identity, devices, security, documentation, and automation into one supportable environment.

The result is fewer recurring failures, faster decisions, safer operations, and technology that can scale with the company—instead of a collection of disconnected tools and vendor handoffs.

Every engagement is led by Gary Gray, a systems engineer with more than 25 years of hands-on experience and an Engineer’s Degree in Automation and Control Systems. The work stays practical: understand the dependencies, fix the root cause, document the system, and automate what should not remain manual.

Business outcomes and root causes before products, licenses, or vendor preferences
Human-controlled AI integrated with approved data, tools, permissions, and review steps
Clear ownership, technical documentation, and systems designed to remain maintainable

Team & Coverage

A small team. Full accountability.
24/7 critical coverage.

IT Total Service is a distributed engineering team led by Gary Gray. Engineers working across time zones can hand off urgent cases, so critical work does not have to wait for the next local business day.

01

One accountable lead

One relationship, one lead engineer, and clear ownership from intake through resolution.

02

After-hours continuity

Critical cases can move between assigned engineers across time zones, including nights and weekends.

03

Controlled handoffs

Work is documented, access is scoped to the assigned task, and escalation rules are agreed with each client.

Response times, supported systems, and escalation rules are defined in each service agreement.

Core Capabilities

Three capabilities. One accountable engineering partner.

Engage IT Total Service for a focused project, ongoing managed operations, or senior engineering support alongside your internal team.

AI & Automation

Custom AI agents and AI-assisted workflows built with Claude, ChatGPT, MCP, and the tools your business already uses. Automate email, documents, knowledge work, task routing, reporting, and exception handling—with human control where it matters.

Explore AI use cases →

Managed IT Operations

Proactive support and administration across users, endpoints, onboarding and offboarding, Google Workspace, Microsoft 365, vendors, documentation, patching, backup validation, and day-to-day technology operations.

Discuss managed IT →

Enterprise Infrastructure

Identity and access, cloud and hybrid systems, Windows and macOS fleets, servers, networks, secure remote access, cybersecurity, backup, recovery, and multi-site infrastructure engineered as one supportable system.

Explore infrastructure →

AI Automation & Agents

AI agents built around real workflows, permissions, and outcomes.

IT Total Service designs focused agents with Claude, ChatGPT, and MCP-connected tools. They work with the systems your team already uses—email, documents, knowledge bases, calendars, cloud platforms, and service workflows—while keeping sensitive actions under human control.

Email & Client Operations Agent

Turns an overloaded inbox into an organized, reviewable workflow.

  • Classifies messages, identifies urgency, and routes ownership
  • Drafts replies in the company voice for human approval
  • Extracts dates, attachments, commitments, and next steps
  • Creates follow-ups and escalates sensitive exceptions

Documents & Knowledge Agent

Turns scattered files and forms into usable, traceable knowledge.

  • Reads intake forms, policies, reports, and operational documents
  • Checks completeness and flags missing or conflicting information
  • Summarizes content and answers from approved knowledge sources
  • Prepares reports, handoffs, and structured data for review

Internal Service & Workflow Agent

Adds an intelligent first layer to internal support and operations.

  • Answers approved questions from a controlled knowledge base
  • Collects context before a request reaches a person
  • Creates or updates tasks in connected business systems
  • Flags access, service, backup, and security exceptions for review

Controlled by design: approved data sources, scoped access, clear review steps, and human approval before sensitive actions. Typical integrations include Claude, ChatGPT, MCP, Google Workspace, Microsoft 365, and existing business systems.

Representative Engineering Work

From operational friction to a supportable system.

These solution patterns show the kind of engineering work we perform without inventing client names or unverified outcomes. Detailed case studies will be published only when the implementation and results can be documented accurately.

01

AI Agent Deployment

Design a focused agent around approved knowledge, clear permissions, connected workflow tools, human review, and traceable exceptions—so automation reduces work without creating uncontrolled risk.

AI AgentClaudeChatGPTMCPHuman Review
02

IT Infrastructure Modernization

Map dependencies, stabilize recurring failures, modernize identity, endpoints, cloud, networks, backup, and recovery, then document the environment so it can be operated confidently.

IdentityCloudEndpointsRecoveryDocumentation
03

Secure Remote & Multi-Site Operations

Standardize access, devices, connectivity, shared systems, security controls, and support procedures across locations—replacing disconnected islands with one manageable operating model.

Multi-SiteRemote WorkNetworkSecurityContinuity

Engineering Method

Understand the system. Reduce the risk. Build for operations.

01

Discover

Define the business outcome, constraints, risk, urgency, and what success must look like.

02

Map

Understand the systems, people, data, permissions, dependencies, and root causes involved.

03

Build

Implement the solution, integrate the required tools, test recovery paths, and document the system.

04

Operate & Improve

Monitor what matters, refine the workflow, automate repetitive work, and plan the next priorities.

Start a Project

What should technology make easier, safer, or faster?

Describe the business problem, current environment, expected outcome, and urgency. We will recommend the right next step—an assessment, a focused project, managed IT, or an AI automation pilot.

Service AreaSan Francisco Bay Area · Northern California projects · Remote nationwide

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