The interface
01Claude — today, through Cowork
Where the work happens: reading, drafting, deciding, and acting across the business from one place instead of a dozen tabs. Not a chatbot you visit — the surface you run the day from.
Claude as the interface. Notion as the memory. A governed layer between them so nothing runs on guesswork — and everything you already run keeps running.
Every business has already tried the tool. It answers questions when you remember to ask, has no memory of your business, and takes no work off your plate — because it has nothing to stand on: no context it can trust, no governed way to act, no memory that carries from one task to the next.
The fix isn’t a smarter model. It’s an architecture: Claude as the surface where work happens, a governed layer that decides what each agent sees and does, Notion as the context the whole thing reasons over, and Salesforce and your existing systems connected underneath — not replaced.
Four layers, each with one job, composed top to bottom. Skip any one and you can still get a demo to run. Skip any one and you cannot run a business on what you built.
The interface
01Where the work happens: reading, drafting, deciding, and acting across the business from one place instead of a dozen tabs. Not a chatbot you visit — the surface you run the day from.
The governed layer
02Governs what each agent sees and does. It compiles context from the layers below, validates it, and persists it — so every action is grounded on the right slice of the business and nothing runs on guesswork.
The memory
03The system of record for context: every signal captured, every workflow authored, every strategy decision recorded — structured, queryable, and current. The layer that compounds.
Where the business already runs
04Connected, not replaced. Salesforce, ERP, HRIS, billing, custom platforms — where the data model has been hardened over years. They stay systems of record, they plug in, and they get more useful.
One surface
Reading, drafting, deciding, and acting from one place — today, through Cowork — instead of steering the business from an inbox and a dozen tabs.
Grounded, not guessing
Each agent acts on compiled, validated context — exactly the slice of the business its job needs. No guessing, no drift, and a record of every action.
Memory that compounds
Every action writes back into the context layer, so the next agent inherits sharper context than the last. The system compounds instead of degrading.
Nothing ripped out
Salesforce, ERP, HRIS — where the data model has been hardened over years. They stay systems of record, and agents finally make them earn their keep.
The three questions every operator asks — and the answer the governed layer gives to each.
“Doesn’t it make things up?”
Grounded, not guessing.
Agents act on compiled, validated context — the right slice of the business every time, not vibes. A well-grounded agent doesn’t guess and doesn’t drift; it reasons over context the governed layer has already checked.
“Do we have to replace Salesforce or our ERP?”
No — coexistence.
Your systems of record stay systems of record. The governed layer connects to them, agents read from and write back to them safely, and they get more useful. Nothing gets ripped out.
“Isn’t this just prompt engineering?”
No — prompts are the last mile.
The layer compiles, validates, and persists context before any prompt is written. What each agent sees and does is governed by architecture, not by whoever wrote the cleverest instruction.
We don’t theorize about this architecture — we run our own company on it. Three of the systems shipping outcomes at Green Irony today:
Quoting
A fixed-bid quote that used to take weeks now takes minutes. Claude generates fixed-price quotes from website conversations and customer calls, then writes them into our system of record as a scoped opportunity.
Hiring
Claude screens candidate resumes, evaluates interview transcripts, and proposes candidate next steps. The governed layer pulls signal from our hiring systems of record, so decisions land with full context attached.
Delivery & customer saves
When a customer integration is broken or stalled, an AI system built on Claude works directly in the customer’s environment, performs root-cause analysis, and delivers a remediation plan in days — the same system that diagnoses the problem runs the fix.
We run our own company on it — and you can see it working.
Salesforce, your ERP, your HRIS — they stay the systems of record. That’s where the data model has been hardened over years, where exceptions get reviewed, where audit trails compound. The governed layer sits above and around them, not in place of them.
What changes is how useful they are. Agents read from them and write back to them safely, the context layer keeps what they hold current and queryable, and the systems you already paid for stop being places data goes to sit. They stay. They plug in. They get more useful.
The executive operating layer: strategy and architecture for operators who want to run the whole business on Claude.
See Run on Claude →
The architecture inside one function: a CRM that fills itself from the team’s real work — and plugs into Salesforce.
See it inside a CRM →
Customer zero, live: the systems Green Irony runs its own business on, built on the architecture on this page.
See it working →
Start with a conversation about what this architecture looks like on top of the systems you already run.