The Problem & The North Star

Four frictions slow every team:

• Cognitive load — authoring infrastructure correctly; the long tail of services inconsistent in security and observability
• Operational work — promoting a change from "merged" to "running in production." Manual work that scales with the system, not the change
• Red tape — tickets, approvals, and handoffs that scale with the organization. A merged change waits in a queue
• Scalability without increasing headcount — throughput scales without linearly scaling platform engineers

Consumers declare intent; the platform delivers safe production deployment — automatically, safely, with a complete audit trail.

• A merged change progresses without a platform engineer joining a thread or approving a ticket
• A non-technical consumer ships by declaring intent — no workflow, no config file, no infrastructure module
• Every production change is traceable to a human attestation and an immutable evidence stream
• Not a general-purpose AI — autonomy is narrow, scoped to delivery, bounded by strict policy
• Not a permissive delivery highway — no escape hatches to bypass the confidence framework

The Contract-Driven Model

A single YAML contract is all a consumer writes — module, environment, inputs. The platform owns everything else.

• Which module — a catalog of pre-built, security-reviewed building blocks
• Which environment — the platform raises the safety bar automatically as sensitivity rises
• Which inputs — the handful of values that vary per deployment
• The consumer provides no AWS account, no VPC, no state backend, no runner key — the platform owns the blast radius

The End-to-End Flow

Every deployment runs the same stages, in the same order, with the same checks — no team-specific pipelines, no tribal runbooks.

• Security and policy checks run before any infrastructure is created
• Every stage produces a record that feeds the confidence signal and the evidence stream — there is no "unchecked" path

Zero-Trust by Default

Consumer repositories hold no long-lived cloud credentials. Ever.

• Authentication — OIDC federation. Each job mints a short-lived token; no credential is stored in the consumer repo or in a runner secret. Testing (GitHub Actions) Planned: all runners
• Authorization — attribute-based (ABAC), not role-based. Two attribute classes scope every action:
  • Repository identity — the role's trust policy binds to the exact consumer repo + branch
  • Resource tags — every resource is tagged acdl:owner + acdl:contract; the session policy grants access only to matching tags

The effect: a consumer can only touch the resources it created. Blast radius is contained. One consumer can never affect another.

Safety is Computed, Not Assumed

Every delivery action produces a measurable, explainable confidence signal — the platform's certified answer to "is this safe to proceed?" Agentic

• Six weighted inputs: policy conformance, validation, freshness, source provenance, history, NFRs
• Per-environment thresholds that rise with sensitivity:

• A single critical finding hard-blocks the deployment — critical findings are not averaged away
• When the platform halts, it gives a measured reason — never an opaque debugging exercise

Security by Construction

Security defaults that do not require a team to opt in. Checks run on every deployment, normalized to a single schema. Testing

• Policy checks (Checkov, Wiz, Kyverno) — secrets in plaintext, public ingress, IAM wildcards, required tagging standards — all run before infra is created
• Encryption on every resource — at-rest encryption on by default; per-stack customer-managed keys with 90-day rotation, no shared keys across stacks
• Deletion protection on by default — prevent_destroy on unless explicitly disabled via a documented flag
• Safe decommission — a 2-step pipeline with two SRE attestation gates and a change-request validated against the CMDB

Accountability & Audit

Autonomy and accountability are not in tension — they apply at different environments.

• Dev is fully autonomous. The confidence signal (≥ 0.50) is the only gate. Queue-based handoffs are eliminated. Agentic
• qa, prod, dr require deliberate human attestation — policy-mandated acts of accountability, not rubber stamps
• Separation of duties is enforced — the QA approver cannot be the prod approver. The platform blocks on a match. Design tested Wiring: planned
• Every deployment writes a hash-chained evidence event — tampering breaks the chain. RPO = 0 — the evidence write is synchronous Testing
• Every production change is traceable to a human attestation — the only durable record outside the VCS's audit log