All cases · Case 05 · Platform · EBK
Executive decisions
you can audit after the fact
Organizations record every transaction — but almost never record "what data was this decision based on." EBK was built to close that gap
The key decision in this caseNo LLM makes decisions for executives
Type · Multi-tenant · RBAC · hash-chained audit
Status · Phase 1 complete · running on production infrastructure
An organization's most important decisions are the ones it can't audit
The CEO · CFO · Board make strategic decisions from data that comes from many sources — ERP · Excel · email — with no versioning and no traceable reasoning chain
When a crisis hits, the question "what did we base that decision on?" can't be answered — decision reviews become hindsight opinions, not a system
Everyone wants AI to help make decisions — but governance demands the opposite
Executive decisions must be defensible to the Board, to auditors, to regulators — an LLM answer that can't be reproduced will never meet that standard. So the speed of AI collides head-on with the accountability of governance
Deterministic pipeline — no LLM in the decision path
- 7-layer reasoning pipeline — Validation → Anomaly → Core Logic → Trend → Cause → Confidence → Action — every layer is reproducible logic; no LLM makes decisions for executives
- Hash-chained audit log — every action is recorded in a chain that can't be altered after the fact — it can't be deleted or overwritten, by design
- Immutable snapshots — every decision stores the input + benchmark + reasoning at that moment — you can go back and see "what we knew that day"
- Confidence is not optional — the system doesn't hide data quality: a score based on financial statements that aren't closed yet says plainly why confidence is low
- RBAC based on real roles — CEO / COO / CFO / Board / Analyst see different levels of detail, but share one audit trail
A precise number you can't trust is more dangerous than a number that tells you plainly how confident it is
- Validation
- Anomaly
- Core Logic
- Trend
- Cause
- Confidence
- Action
What we actually built
A decision structure of 61 items across 3 levels — the organization overview (2 modes: Strategic from closed financial statements · Operational from the daily pulse) → 14 pillars → 46 actions — root-cause analysis with DuPont decomposition that works in any industry, all running on a multi-tenant architecture with data separated by RLS
Separating the two modes matters more than it seems: Strategic scores don't move daily — the system tells the Board honestly that "the books aren't closed yet" instead of conjuring numbers to look fresh. Operational mode catches cash problems in real time — so the Board isn't surprised 45 days later
Phase 1 complete, on production infrastructure
The platform is complete at Phase 1 — reasoning pipeline · hash-chained audit · two-mode scoring — and runs on our own cloud infrastructure. It is the testbed for the corporate governance patterns Faberic uses in design work for enterprise clients
An audit trail is design debt you pay up front
Adding a hash chain and snapshots from day one made the schema more complex — but it is complexity that buys a capability you can't add later: a truth about the past that can't be altered. A system that starts with "we'll add logging later" will never be able to answer "what did we know that day?"