status
building
building lane
Policy-as-code control plane for AI agents — typed policy gate, tamper-evident SHA-256 audit chain, human-in-the-loop approvals with SLA timeouts, Ed25519 manifest signing.
01 / governance prospect
Konsonans AI Governance
A policy-as-code control plane for agentic systems that need traceable decisions, bounded autonomy, and operator hold points under the EU AI Act.
policy gateaudit chainhuman approval
completion
61%
finished scope progress
Completion estimate across public surface, working system parts, and remaining implementation depth.
current value
$110k
derived from current completion
Estimated present studio asset value at the current scope and maturity level.
finished estimate
$180k
pricing signal €25–250/mo per agent
Target studio asset value at the planned finished scope. Revenue status: pre-revenue.
Internal studio value estimates in USD. Current value is derived from completion percentage and is not booked revenue.
What is done
The groundwork is no longer abstract positioning. There is a concrete governance surface and a published control language around it.
- A public governance specification is live with policy DSL examples for human hold points and monetary approval gates.
- The core control-plane shape is defined: typed policy gate, audit chain, manifest signer, and operator oversight path.
- Canonical docs and site routes are in place so governance material resolves under the main public ragbaz.cc surface.
What is left
The next milestone is to move from formal specification and route structure into a fully operational control plane.
- Ship the live GraphQL control and reporting API that runtime agents can actually call during execution.
- Ingest real execution receipts from agent runtimes so approvals, denials, and budget holds become first-class records.
- Finish the EU AI Act evidence mapping and export bundles so audits can be produced from the execution trail, not assembled afterward.
Commercial frame
The value is operational accountability: each action can be reviewed, signed, delayed, or rejected without rewriting the agent runtime.
- Target use: financial, compliance, and documentation workflows where bounded autonomy matters.
- Pricing signal: €25–250/mo per agent, matching the current product line estimate.
- Near-term sale shape: managed governance layer for teams already using AI agents in high-consequence operations.
The product is strongest when it stays close to execution: policy, approval, audit trail, and operator review in one path instead of scattered dashboards.