Why ChatGPT is not enough in production

ChatGPT generates.
O137 controls how AI is used across your organization.

See how O137 works

Many teams start with ChatGPT or Claude.
That's normal.

But quickly, issues appear:

  • •Scattered prompts across teams
  • •Implicit rules that vary by person
  • •No traceability of AI decisions
  • •No control over what AI can or cannot do

The problem is not the model.
It's the lack of a system.

No Central Logic
Each team uses AI differently, with no unified approach
No Governance
No rules, no validation, no oversight of AI decisions
No Test/Prod Distinction
Experiments and production decisions are mixed

ChatGPT / Claude vs O137

ChatGPT / ClaudeO137
RoleGenerate answersControl AI decisions
ScopeIndividualOrganization-wide
Governance
Traceability
Multi-model
Production-ready

A Concrete Example

Quote Production

A sales team uses ChatGPT to draft quotes. Without O137, pricing rules are inconsistent, risks aren't flagged, and there's no audit trail. With O137, every quote is validated, structured, and traceable.

Bank Reconciliation

Finance teams use Claude for complex matching. Without O137, decisions are untraceable, models can't be swapped, and there's no fallback. With O137, every reconciliation is governed, explainable, and audit-ready.

Customer Support

Support teams use ChatGPT for responses. Without O137, answers vary by person, information can be outdated, and there's no quality control. With O137, responses are consistent, sourced, and validated.

O137 is not an AI assistant.

It's the system that decides when, how, and if AI should act.