361 vs ChatGPT / Copilot — Comparison

When Do Customers Mention This Competitor?

• "We already use ChatGPT, why would we need 361?"
• "We enabled Copilot, employees are using it."
• "AI is free anyway, why buy a license?"
• IT or younger employees discovered ChatGPT; management says "we already have it".

3 Critical Differences

1. It Doesn't Know Your Company Data — 361 Does

• ChatGPT/Copilot: A general model with no access to your business systems. You copy-paste fragments manually; context is lost, data leaks out.
• 361: Entity-Native AI works inside your business objects — customers, invoices, production, stock, HR — with role-based (RLS) visibility. It answers from YOUR data, in context.
• Proof: "Show this month's risky invoices" — impossible in ChatGPT without manual export; one sentence in 361.

2. Copy-Paste Loop vs Embedded Process

• ChatGPT/Copilot: Output lives in the chat window; someone must retype it into the real system.
• 361: AI output becomes a record, task or workflow step directly — email triage creates tickets, invoice data lands in the invoice entity.
• Proof: Automation triggers (manual/scheduled/webhook/entity-event) run the output as a process, not a paragraph.

3. Data Security — The KVKK Risk

• ChatGPT/Copilot: Company data pasted into consumer tools flows to third-party clouds; you cannot explain this in a KVKK audit.
• 361: 4 guardrail detectors + GuardrailPipeline, on-prem/air-gap options, embedded local361/llama.cpp — data never leaves if you choose so. Immutable audit trail for every AI action.
• Proof: ISO 27001 + ISO 42001 certified platform; PII masking is built-in.

Objection Handling