ChatGPT is more than a chatbot, but not a work system
ChatGPT has evolved significantly in 2026. With Agent Mode it handles multi-step tasks autonomously, browsing websites, filling out forms, analysing files. Memory stores context across sessions. Canvas provides a collaborative workspace for text and code. Custom GPTs enable specialised agents with their own knowledge bases. Six pricing tiers (Free to Enterprise) serve different audiences.
OpenAI Codex is a standalone product for developers: an autonomous coding agent covering the entire software lifecycle, debugging, testing, deployment. With GPT-5.4 as its backbone and a 1M token context window, Codex is the most capable coding tool on the market. It is aimed explicitly at software teams, however, not at domain experts in regulated industries.
The decisive difference lies not in AI capability, which is impressive in ChatGPT. It lies in the approach: ChatGPT and Codex are universal tools. They understand language and code, but not business matters. UNOY is a specialised work system: rule-based, with domain data models, an audit trail and optional result accountability through certified delivery partners.
Differentiation
Where UNOY goes further than ChatGPT.
ChatGPT is a powerful tool. Six dimensions show where UNOY takes a fundamentally different approach.
Category 01
Rule-based, not just AI
Rule-based, not just AI.
ChatGPT generates answers probabilistically; even Agent Mode works prompt-based without domain rules. UNOY combines rule-based processing with AI: rules determine what happens, AI assists where needed. Only this produces exact results for deadlines, clauses and calculations.
Category 02
Domain data models, not generic text
Domain data models, not generic text.
ChatGPT understands language, but not business matters. It has no concept of a case, file or dossier. UNOY works with structured domain data models: your cases, contracts, claims and review steps are modelled as objects, not chat threads.
Category 03
Result accountability
Result accountability.
ChatGPT assumes no accountability for outputs, neither on the Free nor the Enterprise plan. UNOY offers result accountability in the Supervised model through certified delivery partners: law firms, tax advisers or compliance specialists who review and take responsibility for the finished result.
Category 04
No-code workflow designer for experts
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 so that domain experts can encode their own knowledge into a rule system: review logics, decision trees, clause catalogues. No programming required. The integrated Know-Why area documents every rule: why it exists, on what legal basis, who last changed it. This depth of governance is unique to UNOY.
Category 05
Pricing: accessible for smaller teams
Pricing: accessible for smaller teams.
ChatGPT Enterprise starts at $150 per user and still delivers no finished work products. UNOY is designed so that smaller law firms, legal departments and sole practitioners can start profitably. Economical from 50 matters per month, with no enterprise contract required.
Category 06
Three delivery models
Three delivery models.
ChatGPT offers a platform with pricing tiers. UNOY offers three paths: Self (you build), Co-Build (we build together) and Supervised (we deliver the finished result). No other provider takes end-to-end accountability for the outcome.
Codex: powerful, but built for developers.
OpenAI Codex is an autonomous coding agent, not a tool for domain experts in regulated industries.
check Write, debug, test and deploy code
check 1M token context, understand entire codebases
check Computer Use for native app integration
check Cover the entire software lifecycle
close Process domain business matters
close Make rule-based decisions with an audit trail
close Deliver legal, tax or compliance work
close Take result accountability for work products
Assessment: Codex is to software teams what UNOY is to domain experts: a specialised work system. But the target audiences do not overlap. Codex delivers code; UNOY delivers finished work products for regulated industries.
Data protection: EU residency is not enough.
ChatGPT has offered EU data residency as an option since 2026. For regulated industries, that alone is not sufficient.
EU data residency available (since 2026), but requires Standard Contractual Clauses (SCCs). SOC 2 Type II and AES-256 encryption on the Enterprise plan. No industry-specific audit trail, no rule-reference structure, no sign-off workflow. Data on Free/Plus tiers may be used for training.
Built EU-natively. Data is not used for training, not shared, not passed to third parties. Role-based rights model. Full audit trail with rule references. Sign-off workflow. GDPR, ISO 27001, SOC 2 Type II, ISO/IEC 42001 (AI Management), EU data residency without SCCs. Built for client, health and compliance data.
The honest comparison in detail.
| Dimension | ChatGPT | UNOY |
|---|---|---|
| Work level | Chat + Agent Mode (prompt-based) | Structured matter 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 integration | 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, hallucination risk reduced through schema, sources and validation |
| Audit trail | Chat history, no rule references | Structured log with rule reference + sign-off |
| Reproducibility | No, variance on every request | Yes, deterministic |
| Workflow design | Custom GPTs (chat personas, not rule systems) | No-code designer, domain experts encode knowledge into rules |
| Rule governance (Know Why) | None, 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, SOC 2 Type II, ISO/IEC 42001 |
| Entry & pricing | Free to Enterprise ($150+/user) | Economical from 50 matters/month, no enterprise contract needed |
| 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 reaches its limits.
Three scenarios that look similar but have fundamentally different requirements.
Explains EU-261 in general terms
Cannot verify flight data against databases
Result: a text with an assessment
No claim calculation, no formal notice
Checks flight data against ruleset + database
Calculates claim amount under EU-261
Generates finished notice with audit trail
100,000+ matters for FairPlane (Supervised)
Describes GDPR in general terms
Cannot assess your organisation in a structured way
Result: a text, not an auditable document
No traceability of the assessment
Structured questionnaire based on GDPR rules
Assesses your specific situation
Generates an auditable assessment document
Audit-ready for authorities, WKO reference
Analyses uploaded contract in chat
Flags generic risks without a clause catalogue
No link to matter data
Result varies on every request
Reviews against the firm's own clause catalogue
Identifies deviations in a rule-based manner
Delivers redline + risk matrix
Reproducible, SKW Schwarz reference
Universal tool. Or domain system.
ChatGPT and Codex are powerful AI tools. UNOY is a specialised work system for domain experts.
ChatGPT answers. Codex programs. UNOY delivers finished work products, rule-based, with an audit trail and result accountability.
ChatGPT, Codex and UNOY, the most common questions.
What is 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 that handles matters end-to-end, with an audit trail, sign-off workflow and optional result accountability.
ChatGPT now has Agent Mode. Is that not enough? expand_more
Agent Mode can search websites and 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, the structure is missing.
What is OpenAI Codex and how does it differ? expand_more
Codex is OpenAI's autonomous coding agent; it writes, tests and deploys code. It targets software teams, not domain experts. UNOY targets experts in regulated industries and delivers finished work products, not software artefacts.
Is UNOY an 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, an 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
ChatGPT has offered EU data residency as an option since 2026, 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 full audit trail for sensitive data categories.
Three paths. You choose.
UNOY is not just one answer to the comparison, but three. Operate independently, build together or supervised delivery — per matter, interchangeable. Which path fits your organisation?