prjct/enterprise: the layer companies need

It’s not a chatbot. It’s not an AI wrapper. It’s not another RAG platform. It’s the infrastructure that lives between your enterprise systems and AI vendors — the layer that keeps your operational context inside the company perimeter.

TL;DR

→ Companies are adopting AI with Claude, ChatGPT, Gemini for real operations — sales, support, reporting, HR, knowledge, automation → The problem: operational context (prompts, workflows, memory) is fragmenting inside each vendor → prjct/enterprise keeps that context inside your company, not inside the vendor → Models will change constantly. Your operational context shouldn’t depend on whichever one is trending

What I’m seeing

Companies are adopting AI internally faster than they realize. Not with one provider — with several at once:

Sales prompting ChatGPT with custom scripts
Support running internal workflows in Claude
HR automating flows with proprietary assistants
Reporting generated by internal agents
Knowledge scattered across Slack, Notion, Drive, ChatGPT custom GPTs

Every team builds its own prompts, templates, business logic. Each inside whichever vendor felt comfortable.

The result: the company builds real operational dependency on systems it doesn’t control.

What prjct/enterprise is

A governed layer between your enterprise systems and AI vendors. Every AI interaction passes through this layer before touching company data.

Custom prompts from every team in vendor accounts
Operational memory fragmented across Claude, ChatGPT, Gemini
API keys with direct access to CRMs, ERPs, databases
No unified audit of who asked what
If the vendor changes, the company migrates everything from scratch

Prompts, workflows, and memory live in the company
One governed layer for every vendor
Vendors receive governed answers, not raw access
Unified audit of every interaction
The vendor is replaceable. The context stays.

What the layer handles

Every AI request goes through prjct/enterprise before it reaches an internal system or exits to a vendor:

Identity verification — who’s asking, in what context
Permissions — what data this person can see, right now, for this case
Governance rules — what can be asked, what can’t, under what conditions
Auditability — full record of every interaction
Operational memory — the organization’s context, not the vendor’s
Scoped retrieval — only the relevant data, not broad access
Sensitive data masking — the vendor never sees raw PII

The AI vendor only receives a governed answer. Never direct access to CRMs, ERPs, databases, or internal systems.

What it’s NOT

It’s not a chatbot. It’s not the interface the user sees.
It’s not an AI wrapper. It’s not another UI on top of OpenAI or Anthropic.
It’s not another RAG platform. It’s not a semantic search engine or a vector store.

It’s infrastructure — designed for companies already operationalizing AI internally and starting to feel the fragmentation, the governance gaps, and the vendor lock-in.

The thesis

Models will change constantly. That’s the rule, not the exception. What shouldn’t change is the operational context your company builds along the way.

In the model prjct/enterprise proposes:

Claude, ChatGPT, Gemini, internal AI systems become replaceable interfaces
Your company retains the memory, the rules, the identity, the governance, the operational continuity

The vendor that’s trending this quarter can change. Your operational intelligence doesn’t have to.

Who it’s for

Companies already operationalizing AI internally and starting to experience:

Fragmentation — the same operational knowledge replicated across three different vendor accounts
Governance gaps — no one knows who accessed what data with which prompt
Vendor lock-in — migrating between providers costs more every quarter

If you recognize any of those patterns, prjct/enterprise is being built for you.

prjct/enterprise is the enterprise sibling of prjct — where prjct solves the developer’s workflow with Claude Code, prjct/enterprise solves the operational context of the whole organization.

For you

If you lead AI adoption at your company and you’re starting to see fragmentation — email me. That conversation is the one I care about most right now.
If you want to learn about the product — enterprise.prjct.app.
If you’re building something similar and want to compare notes — also email me.

The long-term vision: help companies adopt AI without losing control of the operational intelligence they build along the way. If you’re at that point, let’s talk.