Faberic

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

Platform · EBK · corporate decision & governance
Type · Multi-tenant · RBAC · hash-chained audit
Status · Phase 1 complete · running on production infrastructure
01 · Problem

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

02 · Tension

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

03 · Design Decision

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
  1. Validation
  2. Anomaly
  3. Core Logic
  4. Trend
  5. Cause
  6. Confidence
  7. Action
A 7-layer reasoning pipeline — every layer is reproducible logic, with no LLM in the decision path
04 · System

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

05 · Result

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

06 · What we learned

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?"