How do I get my business started with Anthropic Claude?

Getting started with Claude involves more than signing up. I help businesses move from casual prompting to structured, repeatable use — building Claude into actual workflows through system prompts, context design, and where needed, MCP connectors that let Claude access your internal data and tools. Claude Chat, Claude Cowork, Claude Code, and Claude Design each serve different needs, and I help you figure out which ones matter for your team.

How do I get my business started with OpenAI ChatGPT?

Most businesses have already tried ChatGPT casually. The gap between casual use and meaningful adoption is where I work. I help set up Custom GPTs built for specific business functions, connect ChatGPT to external systems through the API and Assistants API, and build the prompt libraries and workflows that make AI a consistent part of how your team operates.

How do I get my business started with Google Gemini?

If your business runs on Google Workspace, Gemini is already inside the tools your team uses every day. The opportunity is not to add another AI tool — it is to activate the one that is already there. I help businesses enable and configure Gemini across Docs, Sheets, Gmail, Drive, and Meet, and train teams to use it in the context of how they actually work.

How do I get my business started with Microsoft Copilot?

For businesses on Microsoft 365, Copilot is the most natural AI adoption path available. The setup is not the hard part. The hard part is getting teams to use it consistently, in their daily work — meeting summaries in Teams, first drafts in Word, data analysis in Excel. I help businesses move from turning Copilot on to actually using it well.

The tools are here. The question is how to use them in your business.

AI tools like Claude, ChatGPT, Gemini, and Copilot are powerful. But powerful tools and meaningful adoption are two different things. Most teams have signed up, tried a few prompts, and moved on without changing how they actually work. The gap between using an AI tool and building it into your business is where most organizations are stuck right now.

That is what I help with. I sit with your team, learn your workflows, and help you get real, lasting value from the tools you choose — not in theory, but in the way your business actually operates.

Jump to a tool: Anthropic Claude · OpenAI ChatGPT · Google Gemini · Microsoft Copilot

Start with an AI Discovery Session Curious? Book a call

Anthropic Claude

Claude is the strongest of the current AI tools for complex reasoning, writing, and working with long documents. It is the tool I reach for when the work is dense — long contracts, detailed reports, lengthy internal communications, research synthesis. The challenge for most teams is not finding Claude; it is knowing how to use it well and how to build it into the way they actually work. That is where I come in.

Anthropic offers four distinct products, each designed for a different kind of work. Claude Chat is the conversational interface — where most people start, and where most people stay stuck in casual prompting. I help teams move from that to structured, repeatable use. Claude Cowork is the collaborative workspace for teams: shared projects, shared context, and team-level adoption rather than isolated individual use. Claude Code is an agentic coding assistant that writes, reviews, and refactors code autonomously — relevant for any team with developers or technical staff building internal tools. Claude Design brings visual thinking and creative direction support into the workflow, useful for marketing, brand, and design teams.

Beyond the four products, there is a layer of capability most users never reach. MCP connectors let Claude access external data sources and tools — your CRM, your database, your internal systems — so it is working with your actual business context rather than a blank slate. Skills are reusable, shareable task templates that make consistent AI use easier across a team. And CLI access lets technical teams build Claude into automated workflows, pipelines, and AI agents — autonomous systems that plan and execute multi-step tasks rather than responding to a single prompt. This is where agentic AI becomes a real capability for a business, not just a concept. It is also where teams get stuck without someone who has built with these tools before.

OpenAI ChatGPT

ChatGPT is the most widely adopted AI tool in the world, and that familiarity is both its strength and its challenge. Most teams have already tried it. Few have built it into their workflows in a way that sticks. The gap between casual use and meaningful adoption is where I work — helping businesses move from individual experimentation to a shared, structured capability that actually changes how the team operates.

ChatGPT itself is available in Teams and Enterprise plans that add shared workspaces, admin controls, and the data privacy guarantees businesses need before they can use it seriously. Custom GPTs are purpose-built AI assistants configured for a specific function, role, or workflow — I build these for businesses: a customer service GPT, a proposal-writing GPT, an HR policy GPT, each trained on their specific context and voice. Codex is OpenAI's agentic coding tool — it writes and executes code autonomously, relevant for teams building internal tools, automations, or data workflows. Sora is OpenAI's video generation tool, useful for marketing, training content, and product demos without a production crew.

ChatGPT's power compounds when it is connected to external systems. The API, function calling, and the Assistants API are the building blocks for automations that go far beyond a chat window — workflows that pull from your CRM, update records, generate documents, trigger actions in other systems, and run as agentic AI — autonomous agents that plan and execute multi-step tasks without a human in the loop for each step. OpenAI's Agents SDK is one of the most mature agentic frameworks available right now, and building with it is increasingly part of how I help businesses move beyond chat. Most businesses have no one internally who knows how to build this. That is the gap I fill, starting with an AI Discovery Session that identifies where the highest-leverage opportunities are in your specific context.

Google Gemini

Gemini's strongest argument is not the model itself — it is the integration. If your business runs on Google Workspace, Gemini is already inside the tools your team uses every day. The opportunity is not to add another AI tool to the stack; it is to activate the one that is already there. Most businesses that have not done this yet are leaving meaningful productivity on the table.

Gemini Chat is the conversational interface, including Gemini Advanced for more complex reasoning and analysis tasks — comparable in depth to Claude or ChatGPT for most business use cases. Gemini for Google Workspace is where the real integration lives: AI embedded directly in Docs, Sheets, Gmail, Drive, and Meet, summarizing email threads, drafting documents, analyzing spreadsheets, and generating meeting notes inside the tools your team already lives in. NotebookLM is Google's research tool for uploading documents and querying them in natural language — powerful for teams that work with large volumes of source material, research, or internal documentation. Veo is Google's video generation tool, relevant for marketing and content teams who need to produce video at scale.

Gemini's depth comes from Workspace extensions and the Gemini API, which allow it to connect to business data and automate tasks across the Google ecosystem. Getting this configured correctly — permissions, integrations, which features to enable for which teams — is more involved than it looks. Training the team to use it in the context of how they actually work is the part that most organizations skip, and it is where most of the value gets left behind. That is what I focus on.

Microsoft Copilot

If your business runs on Microsoft 365, Copilot is the most natural AI adoption path available. It is already inside Word, Excel, Outlook, Teams, and SharePoint. The setup is not the hard part. The hard part is getting teams to actually use it well, consistently, in their daily work — and that is exactly what I help with.

Microsoft 365 Copilot is the core product — AI embedded across the entire M365 suite. Meeting summaries in Teams, first drafts in Word, data analysis and formula generation in Excel, email drafting and summarization in Outlook. For most businesses on M365, this is the highest-leverage starting point and the place where I focus the most time. GitHub Copilot is the coding assistant for technical teams — relevant for businesses with developers building internal tools, managing infrastructure, or automating processes. Copilot Studio is the tool for building custom Copilots tailored to specific business processes, connected to your internal data, your CRM, and your document libraries — the enterprise path to purpose-built AI that works with your specific context.

Copilot's value scales with how well it is configured and adopted. Admin setup, data permissions, sensitivity labels, and governance are prerequisites that most M365 rollouts underestimate. And training the team on which use cases actually deliver return — rather than turning it on and hoping — is where most organizations stall. I help businesses move from "we turned it on" to "our team actually uses it every day."