GMMCode enforces 302 enterprise coding standards across 43 languages before it writes a single line of code. PMP project controls, ITIL change records, SOX / GDPR / HIPAA / RBI / DPDP Act 2023 compliance, automatic, wherever your team codes.
GMMCode runs 20 governance controls before and after code generation. Every standard is enforced at generation time, not discovered in code review.
A Low-Level Design entry is written and logged before a single line of code is generated. Every change has a traceable design rationale aligned to your architecture standards.
Every code generation task is validated against 302 enterprise coding standards covering documentation, security, testing, performance, naming, data handling, API design, and compliance patterns.
Every change is diffed against the existing codebase to flag functions and tests that could be affected, catching regressions before they reach CI.
SOX, GDPR, HIPAA, PCI-DSS, RBI, and DPDP Act 2023 evidence is captured automatically for each change, building an audit trail without manual effort.
The ITIL Change Classifier, RFC Writer, and PIR Writer produce complete change management artifacts for every AI-generated change, ready for your CAB before you commit.
Scope Guard validates sprint alignment, Risk Assessor rates technical risk, Effort Estimator feeds story points to your tracker, and Stakeholder Alerter fires when high-impact modules are touched.
Most AI tools generate code that looks correct. GMMCode generates code that is correct by your enterprise standards. The 302 standards are enforced at generation time, not suggested after the fact.
Most AI coding tools skip governance entirely. GMMCode embeds the frameworks your PMO and Change Advisory Board already require, so AI-generated code meets enterprise standards automatically.
All 20 governance controls run on your own private endpoint. No governance data leaves your environment.
Every AI-generated change is evaluated against the compliance patterns relevant to your industry. Evidence is written before the developer sees the output.
GMMCode is trained on the languages your enterprise actually uses, from Java Spring Boot backends to ABAP SAP extensions to COBOL mainframe systems. If your team writes it, GMMCode governs it.
● Highlighted languages: immediate training priority. All others: active development roadmap.
GMMCode is trained on the standards, compliance requirements, and technology stacks specific to each enterprise vertical, not generic software development.
RBI Master Directions, SEBI system audit, SOX financial immutability, PCI-DSS PAN protection, audit trails for every transaction. PL/SQL, COBOL, Java, IBM MQ.
ABAP governance for S/4HANA extensions. OO-ABAP, BAdI, BAPI, CDS Views with documentation, exception hierarchies, and change management built in. 400,000+ SAP companies, zero AI coverage today.
HIPAA PHI access logging, column-level encryption for health data, SAS/R for FDA-validated clinical trial software, audit trails meeting HIPAA requirements, PHI never in logs or API responses.
DPDP Act 2023 consent management, Indian data localisation, SOAP-based e-governance integrations, DB2 z/OS mainframe systems, legacy NATURAL/ADABAS applications.
SEBI compliance, actuarial SAS models, Oracle Forms and OAF for policy systems, IBM MQ for guaranteed message delivery, VBA/Excel automation for underwriting workflows.
RPG / IBM iSeries for mid-market ERP, EDI (ANSI X12 / EDIFACT) for B2B supply chain, MISRA C/C++ for embedded firmware, Dynamics 365 Finance customisation with X++.
Every AI coding tool introduces new attack surface. GMMCode is the first to publish a complete threat model and defence architecture for AI-generated enterprise code.
Key threat vectors mitigated
Defence-in-depth controls (6 layers, 32 controls total)
GMMCode covers every role in the enterprise SDLC, from strategy to operations. The Technical Lead is the primary daily user, reviewing AI-generated code and configuring squad-specific standards. The CTO sees the governance dashboard. The CISO approves the security architecture.
Technical Leads, Senior Engineers, and developers get AI code generation with governance already applied. No extra review step for standards compliance, it is already done.
Scope Guard, Risk Assessor, and Effort Estimator feed real AI-generated change data to your project tracker. Delivery commitments stay protected from untracked scope creep.
A published threat model with 20 vectors and 32 controls. OWASP LLM security enforced by default. No AI-generated secrets, no PAN in plaintext, no prompt injection vectors.
Every AI-generated change arrives with an ITIL RFC, risk classification, and PIR template already written. CAB meetings are shorter because the evidence is always ready.
Pre-generated compliance evidence for SOX, GDPR, HIPAA, PCI-DSS, RBI, SEBI, and DPDP Act 2023 on every AI coding task. Audits have complete trails without manual documentation.
A governed AI coding capability that your risk committee, legal team, and board will approve. Enterprise-grade from day one, not a consumer tool dressed up with a policy document.
302 enforced standards. 7 compliance frameworks. PMP controls. ITIL change records. All built into your existing development workflow, implemented through a structured enterprise pilot.
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