Intelligence

Operational Risk Intelligence

Failure patterns

The operational risk centre of the intelligence graph. Every pattern documents symptoms, root causes, commercial impact, early warning signals, the systems involved and recommended fixes.

5
Failure Patterns
14
Root Causes
10
Systems Mapped
15
Recommended Fixes
45
Intelligence Relationships

Symptom explorer

Start from what you are seeing on the ground. Each symptom maps to the patterns most likely behind it.

"Inventory numbers don't match"

"Reporting lives in spreadsheets"

"Returns create manual work"

"Teams don't trust reports"

All failure patterns

88
Severity

Inventory Truth Split Across Systems

Inventory truth splits when no single system owns stock levels, so the storefront, warehouse and ERP disagree. It causes overselling, manual adjustments and inaccurate stock valuation. The fix is designating one system of record and reconciling rather than blindly syncing.

Revenue: HighCustomer: CriticalFinance: MediumOperational: High
74
Severity

Returns Outside Core Architecture

Returns processed outside core architecture leave finance and inventory blind, breaking the link between customer experience and the books. It drives manual refund reconciliation and lost return-reason insight. The fix is integrating returns into the core data flow.

Revenue: MediumCustomer: MediumFinance: HighOperational: High
69
Severity

Spreadsheet Shadow Systems

Spreadsheet shadow systems form when critical processes run on undocumented workbooks that quietly become load-bearing. They create key-person risk, a slow error-prone month-end and untrustworthy numbers. The fix is migrating that logic into systems and assigning reporting ownership.

Revenue: LowCustomer: LowFinance: CriticalOperational: Medium
81
Severity

Integration Debt

Integration debt accrues-to-point connections multiply with no owner, each one fragile and expensive to change. It raises maintenance cost and makes every change risky. The fix is a dedicated integration platform and clear integration ownership.

Revenue: MediumCustomer: MediumFinance: HighOperational: Critical
77
Severity

Nobody Owns The Data

When nobody owns the data, customer, product and inventory records degrade because no role is accountable for quality. Reports disagree and every downstream system underperforms. The fix is assigning explicit data ownership and a system of record per domain.

Revenue: MediumCustomer: HighFinance: CriticalOperational: High