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Embedded information

Underwriting Approval Workflow Rules

The business rules governing which risks auto-approve, which refer, and to whom.

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Information Advantage assessment

Information Advantage Score

88 / 100

Confidence: not yet assessed -- add evidence below

Strategic Information Advantage
FactorScoreWeightContribution
Uniqueness5 / 520%1.00
Quality4 / 512%0.48
Depth4 / 58%0.32
Freshness4 / 56%0.24
Connectivity3 / 510%0.30
Actionability5 / 514%0.70
Economic Value5 / 518%0.90
AI Readiness4 / 512%0.48

Seeded assessment for the demonstration dataset.

Assessed 8/29/2026

Information Leverage

How much organisational impact this asset could influence -- a separate measure from Information Advantage above, never combined with it. Computed from the decisions and frictions this asset is actually linked to below, not asked for directly.

Low (20/100)

  • decisionReach: band 1/5 × weight 0.25 = 0.25
  • decisionFrequency: band 1/5 × weight 0.25 = 0.25
  • decisionImportance: band 1/5 × weight 0.25 = 0.25
  • workflowReach: band 1/5 × weight 0.15 = 0.15
  • peopleAffected: band 1/5 × weight 0.1 = 0.10

Not incorporated: "decision importance" and "economic consequence" are collapsed into one proxy (decisionCostEstimate) -- no field distinguishes them; "people affected" is only ever populated from linked Frictions, not from any Decision-level field, since none exists.

Evidence

What backs the score above, factor by factor. Recalculated into the Confidence figure the next time this asset is re-assessed.

No evidence recorded yet -- this is currently an opinion, not yet backed by anything checkable.

AI Opportunities

No opportunities generated from this asset yet.

CLEAN status

CLEAN status

CaptureIdentified information asset
LabelContextualised asset
EvaluateQuality/value/uniqueness assessment
AlignBusiness decision/use-case alignment
NurtureContinuous improvement and monitoring

Next: Formally evaluate uniqueness and value, then align to an AI opportunity.

Assessed 8/29/2026

Friction & Diagnosis

Where this asset shows up as the information behind a friction, or in a diagnosis of one.

Not linked to any friction or diagnosis yet.

Ownership & source

Department
Underwriting
Source system
Underwriting Rules Engine
Owner
Chief Underwriter
Business process
Underwriting referral routing
Format
Rules engine configuration

Volume & freshness

Approximate volume
~400 active rules
Historical depth
Continuously evolved over 7 years
Update frequency
Monthly

Governance

Accessibility
Restricted
Data quality
Good
Sensitivity
Internal
Regulatory considerations

Value & usage

Existing usage
Automated underwriting decisioning.
Current business value
Encodes years of risk appetite calibration.
Potential future value
A direct blueprint for an AI underwriting assistant that mirrors house risk appetite.

Competitive position

Competitor accessibility
Near Impossible
Could a competitor reproduce this?
No
Additional tacit knowledge held by employees?
Yes
Tacit knowledge notes
Some rules exist because of past losses that are only remembered informally.