Reach customers who used to cost too much to pursue.
I help companies build coordinated agents that research accounts and find useful signals. They can also keep good follow-ups from disappearing when people get busy.
For leaders building AI-first companies
Your AI operating partner.
Make AI part of how the company actually operates. Start with painful work, learn what works, then build the workflows, culture, and systems around it.
The operating gap
Giving everyone Claude Desktop does not make the company AI-native.
Most companies have licenses and a few employees doing exceptional work. But the best workflows are still hidden in individual chats, so the company never gets the full advantage.
Scattered AI activity
Useful gains stay trapped with the people who found them.
- AI licenses
- Isolated chats
- Power users
- One-off automations
Company-wide AI capability
What works becomes part of how the company operates.
- Shared workflows
- Agents across systems
- Company brain
- Learning loops
The business result
I help companies use AI to grow revenue and take on work that used to require whole teams.
The goal is not more AI activity. It is more profitable work and a team that can handle more of it.
Help the team handle work that once needed a department.
I work with employees to find the repetitive work AI can take on. What works feeds the company brain, so the next workflow can use what the company has already learned instead of starting over in another chat.
The AI-native progression
AI should do more than answer the next question.
This is not one score for the whole company. Sales may be building agents while finance is still in chat. The important part is that authority grows only after the work proves it deserves more.
Scroll or swipe to explore all six levels →
Chat + response
People use AI to think, draft, research, and solve tasks faster, but the capability still lives with the individual.
Agents with tools
Agents connect to approved tools and take bounded actions, with people controlling access and important decisions.
Agent workflows
Multi-step work moves across people, data, and systems instead of ending with a chat response.
Company brain
Shared memory, policies, and company context let AI work from what the organization knows.
Learning systems
Results, feedback, and exceptions improve future runs, so useful workflows get better with use.
Ambient intelligence
AI monitors context and surfaces the next useful action before someone has to ask.
How I help
Decide. Implement. Adapt.
I start with one painful workflow tied to real cost or growth. We build something useful with the people doing the work, then use what we learn to decide what should spread and what the company should buy or build.
Decide where AI is actually worth the investment
Build a vision for where AI can take the business. Focus investment on what matters and make the right buy-versus-build decisions.
Build it with the people doing the work
I work 1:1 with leaders and employees to redesign painful work and build useful workflows and agents. We set clear boundaries around company data, tool access, approvals, and the decisions that still require a person.
Turn one person’s win into how the company works
Change the incentives around sharing what works. Keep revisiting the tools, guardrails, and priorities as AI changes.
From real work to architecture
Start with real work. Use what works to shape the architecture.
You eventually need to think about systems, data, security, and governance. But you will make much better architecture decisions after people have used AI to fix real work and learned what the workflows actually need.
Explore AI company brainsPeople
LeadersOperatorsAI-native employees
Work
DecisionsWorkflowsAgentsApplications
Company brain
MemoryPoliciesContextLearning
Controls
PermissionsEvaluationGovernanceHuman judgment
Stack
ModelsSaaSOpen sourceCustom systems
Working with Charlie
Experience from building, scaling, and operating.
I am Charlie Graham. I have founded five companies, had two exits, and helped build and operate companies with more than $400M in GMV.
I build with AI every day. I know what companies can actually use now and what still falls apart outside a demo. Clients work directly with me on the decisions and the real work. If a project needs a specialist, I bring one in and stay accountable.
Second Coffee is both an AI consulting firm and a venture studio. The same ideas behind my advice get tested in products I am building.
Fit
Is this the right operating partnership?
A strong fit if...
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Leadership believes the company is not using AI deeply enough.
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Important AI decisions span operations, technology, people, and risk.
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You want advice connected to implementation and changed work.
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You want an ongoing AI resource as the market changes.
Probably not if...
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You only need a one-time keynote or generic training session.
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You are okay with AI meaning just using chat.
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You are measuring adoption by licenses, logins, or chat volume.
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You want to spend months making a strategy document to show to investors.
From Charlie’s writing
What I am thinking about right now.
Start with the work
Bring me the expensive workflow or AI decision your company keeps circling.
We will talk about what the company has tried, what is getting in the way, and what I would do next.
Talk directly with Charlie
Bring a workflow, architecture choice, or AI investment that needs a clearer answer.
Start a conversation