The governed AI workflow platform for engineering teams

Build like an artisan. Ship like an enterprise.

Your team is already using AI — but ad-hoc tools give you no audit trail, no shared workflow, and no way to repeat what worked last week. Shokunin brings structure, governance, and reproducibility to AI-assisted software delivery for teams of 5 to 50.

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Governed agent workflowsFull audit trailSOC 2 ready

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Who it's for

Built for teams already using AI — who need to govern it

Scale-up engineering teams in fintech, healthtech, and regulated SaaS. If your compliance team is nervous about AI adoption, Shokunin is the answer.

CTO / VP Engineering

“My team uses AI everywhere but I have no visibility into what it's doing or whether we can reproduce it.”

Govern agent workflows end-to-end. Enforce your engineering standards across every project and get full audit visibility into what every agent did — before it merges.

Staff / Senior Engineer

“I want to use AI for complex tasks but I don't want to rebuild the context every time.”

Define reusable workflows once. Every agent run starts with the full context — stack, standards, codebase — already loaded. No manual setup, no tribal knowledge.

Security / Compliance Lead

“I need to know what the AI is doing with our code and secrets.”

Full audit logs of every agent action. Secrets managed via GCP Secret Manager — never in application databases. RBAC, tenant isolation, and SOC 2-aligned architecture from day one.

The Shokunin Loop

From idea to merged code

A deliberate three-stage loop that keeps humans in command while agents handle the execution.

Studio

Ideate & define

Collaborate with AI to map requirements into a structured knowledge graph. Every standard, constraint, and design decision is captured before a single agent writes code.

Workshop

Orchestrate & execute

Run multi-agent SDLC workflows in isolated GKE containers. Every step is governed, every agent action is logged, every run is reproducible.

Forge

Review & ship

Human review stays in the loop. Approve, request changes, and merge with the full audit trail of what the agent did and why.

A different category entirely

Shokunin is not a smarter autocomplete. It's the operating system for AI-native engineering teams.

Not an IDE plugin

Cursor and Copilot make one developer faster in one file. Shokunin governs how your entire team uses AI — shared workflows, team-wide standards, and a full record of every agent action.

Not a single agent

Single-agent tools run one isolated task with no oversight. Shokunin orchestrates multi-agent SDLC workflows with governance, observability, and human review built in at every stage.

Not a planning tool

AI-enhanced issue trackers stop at the backlog. Shokunin closes the loop — structured requirements feed directly into executable agent workflows that write and ship the code.

Studio

Where ideas become precise requirements

Studios are persistent workspaces where engineering leaders and AI agents collaborate across multiple repositories. Explore ideas, map requirements visually in a knowledge graph, and produce the task definitions that Workshops will execute.

Multi-repository workspace with dedicated AI advisors
Visual requirements knowledge graph — drag, connect, define
Agent-assisted task creation that feeds directly into Workshops

Coming Soon

Studio — Authentication Redesign

Advisor Agent

I've mapped 4 auth requirements to the graph. Should I add refresh token rotation as a security standard?

Yes — flag it as a security standard.

Advisor Agent

Done. Node added and 2 Workshop tasks created.

Workshop — auth-service · 3 agents active

Architect Agent

Designing token rotation schema

running

Developer Agent

Implementing OAuth callback handler

running

Security Agent

Auditing session management

waiting

Workshop

AI agents that execute to your standard — and leave a paper trail

Workshops are governed execution environments where specialised AI agents work in isolated GKE containers. Define the workflow once — every run is reproducible, every action is audited.

Stepped SDLC workflows with conditional branching and human checkpoints
Full audit log of every agent action, decision, and file change
GKE-powered isolated containers — one task, one worktree, no cross-contamination

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Platform Capabilities

Structure. Governance. Extensibility.

Three pillars that no AI coding tool gives you today. Shokunin delivers all three in a single governed platform.

Visual Requirements Graph

Map requirements as an interactive knowledge graph. Every standard, dependency, and design decision is captured before any agent writes code.

SDLC Workflow Builder

Define stepped, reproducible workflows with conditional branching and human checkpoints. The same process, every engineer, every time.

Audit Logs & Compliance

Every agent action, file change, and decision is logged. SOC 2-aligned architecture with RBAC and secrets management built in — not bolted on.

Secrets & Access Control

Secrets managed via GCP Secret Manager. Tenant-isolated infrastructure with role-based permissions and SSO support for enterprise identity.

MCP Extension Framework

First-class extensibility via the Model Context Protocol. Build or install agents that read and write platform data as first-class citizens.

Multi-Tenant by Design

Every team gets isolated infrastructure — distinct stacks, standards, and agent configurations. Scale from startup to enterprise without restructuring.

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