Flagship Foundry: the governance system we run on
The governance system that runs every project in this practice: an 11-stage lifecycle, per-task model routing and cost caps, and a verification gate that requires evidence before any work closes.
Era 6, the AI-agent-native practice · Live, governs this practice’s own delivery work
The situation
Hiring AI to write code is easy. Trusting the output at scale is the hard part. Without a system around it, an AI agent will happily skip steps, mark unfinished work as done, spend more than it should on a task that did not need it, or lose track of what it already decided last week. Most shops solve this by adding a person to check everything by hand, which caps how much the AI can actually take off your plate. The result we built for keeps the leverage of AI delivery while keeping every step of it auditable.
What we built
Flagship Foundry (paired with its cost-governance layer, orchestration-kit) is the control system that runs every project in this practice. It routes each piece of work through an explicit lifecycle (discover, define, visualize, architect, plan, implement, verify, release, operate, diagnose, improve), assigns the right model tier to the right task instead of defaulting to the most expensive one, caps spend with budget rules, and keeps a continuity record so any agent picking up a project mid-stream knows exactly what phase it is in and what has already been decided.
The approval-gate angle
Nothing gets marked complete on the agent’s say-so alone. A verification gate requires actual evidence (a passing test run, a build artifact, a specific file and line) before a work order can close. High-cost or high-risk actions route through an explicit approval step rather than firing automatically. The system is built so every claim the AI makes about its own work stays checkable.
Verified results
- 11lifecycle stages enforced, from discovery through improve
- Every taskcarries token budgets, model routing, and cost caps
- Evidence requiredbefore any work is marked done
This is not a demo of governance, it is the actual system running this business. The plugin defines a seven-agent roster (orchestrator, context curator, systems architect, builder, verifier, docs-release agent, security reviewer) with model tiers assigned per role, a documented pipeline from intent through implementation to operation, and a strict layering rule where cost enforcement lives in one place (orchestration-kit) and phase logic lives in another (Flagship Foundry), so the two systems cannot silently override each other.
What this means for your business
When we say an AI agent built something for you, this is how we back that claim: a named phase, a named agent, a budget it could not exceed, and a verification step it could not skip. If you want AI doing real delivery work without losing the ability to audit what it did and why, this is the machine that makes that possible. It is the machine that builds the machines.