Governed AI Software Delivery

The AI Orchestration Platform for Professional Software Development and Delivery

With AI, coding is easy.Software delivery is hard.

Iron Octopus lets enterprises scale AI Workers through approved SDLC controls so every software change is planned, tested, traceable, and ready for review.

Governed AI Workers

Build software with AI Workers your organization can trust.

Iron Octopus gives enterprises fleets of AI Workers that build software through your SDLC, with the controls, evidence, and compliance your organization requires.

Messaging pillars

Four promises for governed AI software delivery

Scale AI development without losing the operating discipline that makes enterprise software reliable.

Fleet-Based Execution

Assign work to specialized AI Workers for planning, implementation, testing, review, documentation, and compliance.

Process-Governed Autonomy

Workers do not freestyle. They follow your SDLC, approval gates, repo standards, architectural rules, and evidence requirements.

Predictable, Verified Output

Every change is tied to requirements, tests, reviews, logs, and acceptance criteria before it reaches production.

Audit-Ready by Design

Every AI action, decision, tool call, artifact, and approval is captured for security, compliance, and organizational learning.

Process-Governed Autonomy

Autonomous development, controlled by your SDLC.

  1. 01

    Plan

    Start with requirements and acceptance criteria. Work begins with the ticket, repo context, architectural constraints, approval gates, and the evidence needed for review.

  2. 02

    Build

    Assign specialized Workers to the right tasks. Planning, implementation, testing, documentation, review, and compliance work can be delegated to the Workers best suited for each step.

  3. 03

    Verify

    Require tests, reviews, logs, and proof. Workers produce predictable output by connecting every change to requirements, test results, review notes, and acceptance criteria.

  4. 04

    Approve

    Keep humans in control of release decisions. Teams keep their SDLC approval gates while gaining traceable AI execution that is ready for engineering, security, and compliance review.

Audit-Ready by Design

From AI-generated code to audit-ready software.

The bottleneck is no longer code generation. It is control, verification, and trust at the speed AI can create change.

Linked Requirements

Every change starts from defined work and acceptance criteria.

Captured Evidence

Tests, reviews, artifacts, and tool activity stay attached.

Controlled Approval

Human gates remain visible before production release.

Early Access

Deploy fleets of AI Workers that build, test, document, and prove their work.

Bring autonomous development into your SDLC with the controls, evidence, and compliance your organization requires.