NYEX AI Across Full SDLC For A New Payment Mobile App

1. Context

A new mobile payment application is being developed and requires structured execution from planning through post-release operations. NYEX AI is used as a step-by-step copilot for

2. Goal

NYEX AI used in every SDLC stage to accelerate delivery, improve quality, and maintain operational control for a production-bound payment app.

3. Scope

In Scope

* End-to-end SDLC workflow support (planning, design, development, testing, deployment, operations)

* Artifact generation and traceability support

* Semi-technical collaboration model for cross-functional teams

Out of Scope

* Real production credentials, live banking integrations, or regulated financial approvals

* Vendor-specific legal/compliance sign-off

* Full runbook automation beyond documented guidance

4. Stakeholders

* Business Owner: Product Leadership

* Technical Owner: Engineering Lead

* Security/Compliance: Security and Risk Team

* QA/Operations: QA Lead and SRE/DevOps Team

5. Preconditions

* Defined product objective and target users

* Engineering stack decisions (mobile framework, backend approach, cloud baseline)

* Controlled environment and secure access model

* Team agreement on artifact and approval workflow

6. NYEX AI Workflow (Step-by-Step)

| Step | SDLC Phase | Team Inputs to NYEX AI | NYEX AI Actions | Output Artifacts | Approval Gate |

1. Planning & Requirements | Business goals, timeline, budget, market constraints | Converts goals into structured requirements, scope split, risk register, roadmap | PRD draft, requirement list, milestone plan, risk log | Product and Engineering sign-off |
2. Design | Functional requirements, NFRs, security constraints | Proposes architecture options, API contracts, data model, UI flow | Architecture spec, ERD, API schema, UX flow map | Architecture review board approval |
3. Development | Design docs, coding standards, backlog priorities | Breaks work into implementation tasks, scaffolds modules, supports coding and review checks | Feature implementation plan, code-ready task list, review notes | PR checks and technical lead approval |
4. Testing | Risk-based test strategy, acceptance criteria | Produces unit/integration/security/performance test cases and defect triage summaries | Test plan, test cases, QA execution matrix, defect summary | QA gate with pass/fail thresholds |
5. Deployment | Environment topology, release window, rollback policy | Generates release runbook, pre/post checks, rollback steps, release notes | Deployment checklist, rollback playbook, release notes | Change advisory and release manager approval |
6. Maintenance & Operations | Incident telemetry, user feedback, operational KPIs | Assists RCA, patch prioritization, optimization backlog, postmortem writing | Incident report, RCA, maintenance backlog, KB updates | Operations and product review |

7. Technical Artifacts Produced

* Planning: PRD, scope definition, roadmap, risk register

* Design: Architecture blueprint, API contracts, data model, UI journey map

* Development: Feature task decomposition, implementation notes, review checklist

* Testing: QA strategy, automated test scenarios, defect and regression summaries

* Deployment: Runbook, go-live validation checklist, rollback plan, release notes

* Operations: Incident logs, RCA reports, corrective action plan, support playbooks

8. Risk and Control Mapping

| Risk | Control | NYEX AI Support | Owner |

1. Scope creep | Requirement baseline and change log | Maintains structured requirement versions and impact notes | Product Owner |
2. Security gaps | Secure design and testing gates | Flags missing controls in design/test checklists | Security Lead |
3. Release failure | Standardized rollback and pre-flight checks | Produces release/rollback runbooks and validation sequence | DevOps Lead |
4. Post-release incidents | Incident response discipline | Drafts RCA and recovery action templates | Operations Lead |

9. KPI and Success Metrics

* Delivery: Reduced planning-to-build cycle time

* Quality: Lower defect leakage into production

* Security: Faster vulnerability detection and triage readiness

* Reliability: Improved release stability and incident response speed

* Product: Higher completion rate on key payment user journeys

10. Evidence and Traceability

* Requirement IDs: `REQ-001` to `REQ-0XX`

* Design IDs: `DES-001` to `DES-0XX`

* Test IDs: TST-001` to `TST-0XX`

* Release IDs: `REL-001` onward

All generated artifacts are cross-referenced to preserve end-to-end traceability from requirement to release.

11. Final Outcome

* Result: `Achieved`

* Summary:  NYEX AI supported all SDLC stages with repeatable, auditable outputs and clear handoff points between teams.