Comparison
Why
361?
Compare with ChatGPT, custom AI projects, and no-code platforms. The difference is clear.
1
ChatGPT / Copilot vs 361
The difference between a general-purpose AI tool and an enterprise AI Operating System
| ChatGPT / Copilot | 361 AI | |
|---|---|---|
| Data | General internet knowledge | Your business data |
| Integration | Copy-paste | Direct system integration |
| Security | Data leaves your org | Data stays with you (on-premise option) |
| Continuity | Every chat starts from zero | Business memory, context, learning |
| Output | Text / answer | Business action (record, approval, report, notification) |
| Cost | Per-user pricing | Plan license, field team free within fair use |
| Verdict | Personal assistant | Enterprise AI Operating System |
2
Custom AI Development vs 361
Instead of months-long, million-dollar custom projects, a ready platform
| Custom AI Development | 361 AI Solutions | |
|---|---|---|
| Timeline | 6-12 months | 2-week POC, 4-8 weeks live |
| Cost | High six-figure budgets | Platform license |
| IT Requirements | ML engineer, data scientist | No-code — business users operate it |
| Maintenance | Ongoing development cost | Platform updates are automatic |
| Integration | Custom build per system | 5 ready connectors + REST API |
| Verdict | Long, expensive, risky | Fast, scalable, ready |
2
Custom AI Development vs 361
Instead of months-long, million-dollar custom projects, a ready platform
| No-Code AI Tools | 361 AI Solutions | |
|---|---|---|
| Data Layer | None — workflow only | Hundreds of business objects, comprehensive data model |
| UI / Forms | None — API output | Full UI, dashboard, forms, reports |
| Business Logic | Simple if/then | Entity-Native AI — understands your business rules |
| Channels | Single channel | 44 channel adapters (WhatsApp, Teams, Slack, Email...) |
| Security | Basic | Multi-layered protection (PII, hallucination, injection, cost + pipeline + audit trail) |
| Verdict | Automation tool | Enterprise AI Operating System |
One platform, 9 categories
Normally you'd buy 9 separate products
Every category has a specialist competitor — 361's answer isn't a product, it's the cost of cross-category integration.
Application Platforminstead of: CRM/ERP suites
Domain license instead of per-user subscription; XML-based depth, on-prem/air-gap.
Low-Codeinstead of: code-generating tools
Metadata = runtime: no codegen, no deploy; 28 designers + 200+ ready modules.
AI Platforminstead of: AI add-ons
AI as architecture, not add-on: entity-native, guardrailed, human-approved; 17 providers + 361 Local.
Omnichannel / CCaaSinstead of: contact-center products
44 adapters, one inbox; live call intelligence on-site; federation with your existing helpdesk.
BI / Analyticsinstead of: a separate BI license
No ETL, no separate RLS definition; dashboards are live (SSE) and answer "why did it change?".
E-Signatureinstead of: per-envelope paid services
PAdES + HSM + mobile signing inside the platform; no per-envelope fee, documents never leave.
Files / ECMinstead of: a separate document system
A file is a record: auto-indexed into RAG, subject to RLS; connects directly via Explorer/Office WebDAV.
Process / Workflowinstead of: separate automation tools
State-machine workflow + built-in Process Miner — the event log is already inside the platform.
MDM · IoT · Websiteinstead of: three more separate products
Device management (OneBox), MQTT IoT hub and site generator — in the same data model.
See the Difference Yourself
2-Week Free POC
Test with your real data. If you don't like it, nothing has changed.