ChatGPT is more as a Chatbot — but no work system
ChatGPT has evolved significantly in 2026. With Agent Mode it handles multi-step tasks autonomously — browsing websites, foms fill in, filanalyse. Memory speichert Kontext over Sessions . Canvas offers a kollaborativen worksbereich for Text and code. Custom GPTs erpossibleen specialised agents with own Knowledgesdatenbanken. Sechs Preisstufen (Free to Enterprise) operate different Zielgruppen.
OpenAI codex is a standalone product for developers: on autonomouslyous coding agent that covers the entire software lifecycle — Debugging, Testing, Deployment. With GPT-5.4 as Backbone and 1M Token Kontextfenster is codex the strongest Coding-Tool at Markt. It richtet however explizit on software-Teams, not on domain experts in regulated industries.
The decisive difference lies not in the AI-Performance — this is at ChatGPT impressive. He lies in approach: ChatGPT and codex are universal tools. you understand Language and code, but no business processes. UNOY is a specialised work system: rule-based, with domain data models, audit trail and optional result accountability through certified delivery partners.
Where UNOY goes further than ChatGPT.
ChatGPT is a powerful tool. Sechs dimensions show, where UNOY takes fundamentally different approach.
Rule-based, not only AI
ChatGPT generates answers probabilistic — also Agent Mode works prompt-based without Fachregeln. UNOY combines rule-based Processing with AI: rules determine what happens, AI with assistance where necessary. Only so entstehen exact Results at deadlines, clausand calculations.
domain data models instead of genericr Text
ChatGPT understands Language, but no business processes. It knows no case-term, no file, no Dossier. UNOY works with structured domain data models: your cases, contracts, claims and reviewschritte are as Objekte modelliert — not as Chat-Threads.
result accountability
ChatGPT takes on no responsibility for Outputs — weder in Free- still in Enterprise-plan. UNOY offers result accountability in the Supervised model through certified delivery partners: law firms, tax advisors or compliance specialists, the the finished result review and be responsible for.
No-code workflow Designer for experts
ChatGPT can be customised via Custom GPTs — but those are chat personas, not rule systems. UNOY's no-code workflow designer is built specifically for domain experts to pour their knowledge into a rule system themselves: review logic, decision trees, clause catalogs. Without programming skills. In the integrated Know-Why section, every rule is documented — why it exists, on which legal basis, who last changed it. Only UNOY brings this depth of governance.
Pricing: also for smaller teams
ChatGPT Enterprise costs from $150/user — and still delivers no finished work products. UNOY is designed so that smaller law firms, legal departments and individual practitioners can start profitably. Economical from 50 cases per month — without an enterprise contract.
Three executions modele
ChatGPT offers a platform with tiers. UNOY offers three paths: Self (you build), Partner (we build together) and Supervised (we deliver the finished result). No other provider takes on End-to-End-accountability for the result.
codex: Performancesstark — but for developers built.
OpenAI codex is a autonomousr coding agent — no tool for domain experts in regulated industries.
check code write, debuggen, test and deploy
check 1M Token Kontext — ganze codebasen understand
check Computer Use for nativee App-Integration
check The entire software-Lifecycle abdecken
close Fachliche business processes process
close Rule-basede Decisions with audit trail make
close deliver legal, tax-law or compliance work
close result accountability for work products take on
Perspective: codex is for software-Teams the, what UNOY for domain experts is — a specialised work system. But the Zielgruppen overschneiden not: codex delivers code, UNOY delivers finished work products for regulated industries.
data protection: EU-Residenz is enough not.
ChatGPT offers since 2026 EU data residency as Option. For regulated industries is enough the alone not from.
EU data residency available (since 2026), but requires Standard Contractual Clauses (SCCs). SOC 2 Type II and AES-256 encryption in the enterprise-plan. No industry-specificr audit trail, no rule reference-structure, no sign-off workflow. data are in Free/Plus-Tarif potenziell for Training verwendt.
EU-native built. data are not trained on, not shared, not passed on to third parties. role and rights model. Complete audit trail with rule references. sign-off workflow. GDPR, ISO 27001, EU data residency without SCCs. Made for client, health- and compliance data.
The ehrliche Comparison in detail.
| dimension | ChatGPT | UNOY |
|---|---|---|
| Working layer | Chat + Agent Mode (prompt-based) | Structured process with input/output |
| Processing | AI-generated (probabilistic) | Rule-based + AI — deterministic where it counts |
| Data model | None — generic conversation | Domain data models (case, contract, claim) |
| System connection | Plugins, Custom GPTs, agent browsing | Native: Advocat, SAP, REST, CSV … |
| Word documents | File upload + AI analysis in chat | Word XML level: CI-compliant, redlining per playbook, no hallucination |
| Audit trail | Chat history — no rule reference | Structured log with rule reference + sign-off |
| Reproducibility | No — variance on every request | Yes — deterministic |
| Workflow design | Custom GPTs (chat personas, no rule systems) | No-code designer — domain experts encode knowledge as rules |
| Rule governance (know why) | No — AI outputs without rule documentation | Every rule documented: legal basis, change history, rationale |
| Data residency | EU option since 2026 (SCCs required) | EU native — GDPR, ISO 27001 |
| Entry point & price | Free to Enterprise ($150+/user) | Economical from 50 cases/month — no Enterprise tier required |
| Result accountability | No — disclaimer on every output | Yes — via certified delivery partners (Supervised) |
| Target audience | Everyone (generic) / Codex: developers | Domain experts in regulated industries |
Where ChatGPT hits its limits.
Three scenarios that look similar — but have fundamentally different requirements.
Explains EU 261 in general terms
Cannot check flight data against databases
Result: a piece of text with an assessment
No claim amount, no decision letter
Checks flight data against the rulebook and database
Calculates the claim amount under EU 261
Produces a finished decision letter with an audit trail
100,000+ cases for FairPlane (Supervised)
Describes GDPR in general steps
Cannot evaluate your company in a structured way
Result: a piece of text, not an auditable document
No traceability of the assessment
Structured question catalogue against the GDPR rule set
Evaluates your specific situation
Produces an auditable assessment document
Audit-ready for authorities — WKO reference
Analyses the uploaded contract in chat
Names generic risks without a clause catalogue
No connection to engagement data
Result varies on every request
Reviews against firm-owned clause catalogue
Identifies Abweichungen rule-based
Delivers Redline + risk-Matrix
Reproduzierbar — SKW Schwarz Referenz
Universelles tool. Or domain system.
ChatGPT and codex are powerful AI tools. UNOY is a specialised work system for domain experts.
ChatGPT answers. Codex codes. UNOY delivers finished work products — rule-based, with an audit trail and result accountability.
ChatGPT, codex and UNOY — the most common questions.
What's the difference between ChatGPT and UNOY? expand_more
ChatGPT has evolved — with Agent Mode, Memory, Canvas and Custom GPTs. Still it remains a universal AI tool without domain data models and rule-based Processing. UNOY is a specialised work system, the processes End-to-End processes — with audit trail, sign-off workflow and optional result accountability.
ChatGPT has now Agent Mode — is enough the not? expand_more
Agent Mode can search websitand complete multi-step tasks. But it works prompt-based, without domain rules, without audit trail, without sign-off workflow. For operational business processes with audit requirements is missing the structure.
What is OpenAI codex and like differses ? expand_more
codex is OpenAIs autonomousr coding agent — he writes, tests and deploys code. He richtet on software-Teams, not on domain experts. UNOY richtet on experts in regulated industriand delivers finished work products, no software-artefacte.
Is UNOY a Enterprise-Version of ChatGPT? expand_more
No. UNOY uses LLMs under the hood, but the platform is a rule-based work system with domain data models, audit trail and optional result accountability through certified delivery partners. The difference is categorical, not gradual.
How does data protection compare between ChatGPT and UNOY? expand_more
Since 2026, ChatGPT offers EU data residency as an option — but with SCCs and without industry-specific audit trails. UNOY is built EU-natively with GDPR-compliant processing, a role-based rights model and a complete audit trail for sensitive data.
hand us your expert work.
See in 15 minutes, why UNOY no Chat-Tool is — but a system, the processes from intake to finished result processes.