CODEXFORGE Flo 2026 · Solo Submission
CODEXFORGE · PRESENTS
Presenter: Amit Prajapati · Staff Software Engineer / Solutions Architect
Codex Hackathon · Solo Submission

AXIOM

AI Engineering Control Tower

Investigate. Modernize. Ship.

“From production problem to production-ready solution.”
INCIDENT Telemetry Alert AXIOM INVESTIGATION CODE Codex Patch TEST Automated Suite RELEASE Human Verified
Primary Theme: Enterprise Transformation · Supporting: Productivity & Governance
AI-assisted engineering workflow · Human in control
The Problem Context Fragmentation in Enterprise Systems

Enterprise integration problems are rarely isolated.

When a business-critical integration fails, the hardest part is often not writing the fix — it is reconstructing the context required to understand what actually happened.

Enterprise Integration Topology A failure at one point requires investigation across multiple layers
CRM / Dataverse
Source entity & triggers
Integration Service
Payload mapping & queue
REST API
Contracts & schema types
ERP / External System
Target ledger & endpoints
Current Investigation Workflow Sequential & Manual
Incident Alert
Telemetry / Logs
Source Code
API Contract
Data / Payload
Manual RCA
Code Fix
Testing & Release
01 · CONTEXT SWITCHING

Tool Juggling

Engineers move between telemetry, repositories, API contracts, documentation and test results to reconstruct the failure.

02 · EXPERIENCE DEPENDENCY

Tribal Knowledge

Understanding legacy integrations often depends on engineers who know undocumented dependencies and historical behavior.

03 · REPETITIVE INVESTIGATION

Time Drain

A significant amount of engineering time can be spent locating code, comparing payloads and contracts, and preparing tests.

04 · RELEASE UNCERTAINTY

Blast Radius

Even after a fix is created, engineers still need to understand what else may be affected before releasing it.

“Too much engineering effort can be spent finding context around a problem instead of solving it.”

Better Outcome Manual Workflow vs AXIOM-Assisted

What if the engineering workflow could reason across the problem?

Uniting fragmented context into a coherent, intelligent engineering loop from initial incident to validated release.

TODAY — Fragmented Investigation
1. Incident
2. Logs
3. Repository
4. API Contract
5. Manual Investigation
6. Code Fix
7. Manual Tests
8. Release Review
Challenge: Disconnected tools · High cognitive fatigue · Unverified blast radius
WITH AXIOM — Intelligent Engineering Workflow
✓ Incident
✓ Context Gathering
✓ Codex Investigation
✓ Root Cause
✓ Code Change
✓ Generated / Executed Tests
✓ Impact Analysis
✓ Human Review
Prototype goal: measure the difference between a manual workflow and an AXIOM-assisted workflow.

“One engineering context. One intelligent workflow.”

Human approves. AI accelerates.
The Solution Enterprise Integration Control Tower

Meet AXIOM

An AI Engineering Control Tower for enterprise integration workflows.

AXIOM brings investigation, code understanding and release validation into one engineering workflow.

01 · INVESTIGATE

Integration Detective

Investigates an integration incident using available error information, source code, API contracts and test context.

MVP CAPABILITIES:
  • • Parse error messages & stack traces
  • • Identify relevant source files
  • • Compare payloads with API contracts
  • • Explain the likely root cause
  • • Propose a minimal code change
  • • Generate relevant tests
  • • Produce an investigation summary
Tagline: Investigate
02 · UNDERSTAND

Code Archaeologist

Helps engineers understand an unfamiliar or legacy integration repository.

MVP CAPABILITIES:
  • • Identify application structure
  • • Explain important modules
  • • Trace dependencies
  • • Identify risky or unclear areas
  • • Identify missing tests
  • • Suggest targeted modernization
Note: Focuses on a single repository/module, not entire legacy estate.
03 · VALIDATE

Release Guardian

Reviews proposed changes before release.

MVP CAPABILITIES:
  • • Analyze changed files
  • • Identify affected components
  • • Highlight testing gaps
  • • Identify release considerations
  • • Generate release-readiness checklist
  • • Prepare human-review summary
Rule: Human approval mandatory. Zero auto-deploy.
One Intelligent Context: Investigate (Detective) → Understand (Archaeologist) → Validate (Guardian)
Focused MVP Scope
Codex Enablement Practical Engineering Execution

Codex is the engineering execution layer.

AXIOM is not a generic conversational chatbot. AXIOM uses Codex to work directly with engineering context and perform practical development tasks across the repository.

Codex Engineering Workflow Loop Context-Aware Execution
01 UNDERSTAND
Repo Analysis

Analyze repository structure, relevant files & engineering context.

02 INVESTIGATE
Trace Error

Trace the error to the relevant source code and surrounding logic.

03 REASON
Contract Check

Compare observed behavior with expected API contracts, types & tests.

04 MODIFY
Focused Patch

Implement a focused and reviewable code change.

05 TEST
Generate Tests

Generate or update tests and execute the relevant test suite.

06 REVIEW
Impact Check

Review resulting change and identify potential impact or risks.

07 DOCUMENT
Summary & RCA

Generate investigation summary, explanation & release readiness.

“Codex handles the repetitive engineering work. The engineer remains responsible for the decision.”
Repository & source-code analysis
Hero Scenario · Incident Remediation Walkthrough

Enterprise Integration Incident Remediated

Full 8-stage lifecycle from production failure to production-ready solution in a customer sync pipeline: Dynamics 365 CRM → Integration Service → REST API → ERP.

01 INCIDENT
Customer Sync 500

TypeError: Expected number, got "CUST-94821"

CustomerMapper.ts:84
02 INVESTIGATION
Context Gathering

Parses stack trace, ingests CRM schema, maps 3 calling worker pipelines.

Integration Detective
03 ROOT CAUSE
Contract Incompatibility

String(id) coerced instead of numeric CRM contract

Pinpointed line 84
04 CODE FIX
Minimal Focused Patch

parseValidatedCustomerId() with legacy fallback

Type-safe normalization
05 TESTS
Generated Test Suite

4 Jest tests passed (numeric, invalid 400, null, sync)

100% path coverage
06 IMPACT CHECK
Zero Blast Radius

Isolated to CustomerSyncWorker. Verified D365 & ERP contracts.

Risk Score: LOW
07 REVIEW DOC
RCA Summary & PR

PR #1084 with RCA evidence, test report & automated rollback plan.

Release checklist ready
08 HUMAN SIGN-OFF
Engineer Authorized

Amit Prajapati (Staff Engineer) reviews evidence & releases fix.

Human in control
Technical Architecture & Scope Proposed MVP Scope vs Future Scope

Focused Submission Scope Today. Universal Enterprise Control Tomorrow.

Calibrated as a focused MVP proposal for the 2-day hackathon submission, architected to expand into any CRM, ERP, or SDLC platform.

PROPOSED MVP SCOPE (SUBMISSION TARGET)

Dynamics 365 CRM & Enterprise Codebase

Proposed 2-day hackathon MVP targeting Microsoft Dynamics 365 CRM integrations and realistic enterprise codebases.

  • ✓ Focus Domain: Microsoft Dynamics 365 CRM & Dataverse integrations
  • ✓ Target Codebase: Any enterprise integration service (TypeScript/Node.js & C# plugins)
  • ✓ API Reasoning: REST APIs, OpenAPI contracts, and CRM payload schemas
  • ✓ Synthetic Telemetry: Integration error payloads, worker exceptions & stack traces
  • ✓ Focused Remediation: Minimal single-file code patch synthesis (CustomerMapper.ts)
  • ✓ Automated Testing: Regression test suite generation & execution before human review
  • ✓ Governance: Human-in-the-loop validation; zero autonomous production deployment
Positioning: Proposed MVP designed for rapid 2-day solo hackathon execution
FUTURE SCOPE (ROADMAP)

Any CRM, ERP, SDLC & Web Application

Architectural blueprint designed to expand beyond Microsoft into multi-cloud CRM, ERP, and end-to-end SDLC toolchains.

  • • Multi-CRM Support: Salesforce (Apex, Flow, MuleSoft), HubSpot, Zendesk
  • • Enterprise ERPs: SAP, Dynamics 365 F&O / Business Central, Oracle, NetSuite
  • • Full SDLC Integration: Jira, Azure DevOps, GitHub, CI/CD automated gates
  • • Cloud Integration: Azure Functions, Logic Apps, AWS Lambda, Event Grid
  • • Custom Enterprise Apps: Enterprise web portals, internal services, and microservices
  • • Live Telemetry Ingestion: Datadog, Dynatrace, CloudWatch, Splunk & AppInsights
Future Architecture: Designed to adapt to any CRM, ERP, or enterprise software stack
“Current proposed scope centers on Dynamics 365 CRM and any enterprise codebase; future scope scales to Salesforce, SAP, any ERP, and full SDLC lifecycle.”
Workflow Impact & Evaluation Measuring Value

Measuring the Value of Context-Aware Engineering

Evaluating the practical engineering difference between a fragmented manual investigation and an AXIOM-assisted workflow.

01 · CONTEXT ASSEMBLY

Unified vs Fragmented

Brings telemetry, source files, and API contracts into one engineering context instead of hunting across separate portals.

02 · ROOT CAUSE SPEED

Direct Localization

Automated comparison between error payloads and schema contracts pinpoints discrepancies without relying on undocumented tribal memory.

03 · TEST COMPLETENESS

Automated Verification

Synthesizes regression test suites matching the error conditions before proposing a fix, preventing repeat production failures.

04 · RELEASE CERTAINTY

Controlled Blast Radius

Performs caller and dependency impact checks with a structured checklist before handing off to the engineer for approval.

Prototype Evaluation Objective
Synthetic Testbed Study

Prototype goal: Measure and evaluate how much repetitive context-gathering effort is saved between a manual workflow and an AXIOM-assisted workflow on enterprise integration scenarios.

“Too much engineering effort can be spent finding context around a problem instead of solving it.”
Hackathon Alignment Flo 2026 Evaluation

Grounded in Enterprise Reality. Built for Flo 2026.

How AXIOM aligns with hackathon themes, judging criteria, and solo MVP execution.

01 · Enterprise Transformation (Primary Theme)

Targets the real-world operational backbone: complex integration landscapes connecting CRM (Dynamics 365 / Dataverse), integration middleware, and external ERP systems.

02 · Effective Codex Leverage

Codex operates as an active engineering execution layer (reasoning over contracts, proposing minimal code fixes, generating unit tests) — not a passive conversational chatbot.

03 · Feasible Solo MVP Delivery

Carefully calibrated for achievable completion in ~2 days using synthetic enterprise scenarios and focused modules, avoiding hand-waving or overreaching claims.

04 · Security, Governance & Human-in-the-Loop

Mandatory human review before release. Zero autonomous deployments. Full audit trail, synthetic testbeds, and strict privacy protecting confidential enterprise data.

Guiding Principle: Human approves. AI accelerates. Solves real enterprise integration pain points.
Flo 2026 Solo Submission
CODEXFORGE · PRESENTS

AXIOM

AI Engineering Control Tower

Investigate. Modernize. Ship.

“From production problem to production-ready solution.”
HACKATHON SUBMISSION SUMMARY Flo 2026 · Solo Submission
Presenter: Amit Prajapati · Staff Software Engineer / Solutions Architect
Team: CODEXFORGE (Solo Submission)
Primary Theme: Enterprise Transformation
Proposed MVP Scope: Microsoft Dynamics 365 CRM integrations & enterprise codebase
Future Scope: Salesforce, SAP, any ERP, any CRM, web apps & end-to-end SDLC

“From production incident to validated code change with Codex assisting throughout the workflow — while keeping the engineer in control.”

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