# Policy Exception Routing

*/Opportunities/Policy_Exception_Routing*

## Opportunity Overview

**Wedge**: Target IT software procurement and system access exceptions first, such as employees requesting non-standard SaaS applications or temporary admin privileges. This niche experiences high volume but carries lower financial risk, and IT policies are typically the most explicitly documented in an enterprise. Once established in IT operations, expand horizontally into finance for travel and expense exceptions, and eventually into HR or legal for contract deviations.
**Timing**: Large language models with massive context windows now ingest hundreds of pages of dense corporate policy and accurately evaluate unstructured employee requests against those rules in seconds. Previous rule-based engines failed here because policy exceptions are inherently unstructured and impossible to map with rigid decision trees.
**Why This I C P**: Enterprise IT operations and procurement teams manage strict SLAs alongside rigid compliance audits. They possess clearly documented policy manuals but face constant pressure from business units requesting urgent deviations, making them eager adopters for automated routing that reduces bottleneck friction without sacrificing auditability.
**Size Of Prize**: Roughly 50,000 mid-to-large enterprises in the US and Europe dedicate the equivalent of at least 3 FTEs to manual exception triaging and compliance routing. At an average fully loaded cost of $80,000 per FTE, this represents approximately $240,000 in annual labor spend per entity, creating an addressable labor replacement market of $12B.
**Gap Narrative**: Standard workflows handle the happy path, but exception requests—whether for non-standard spend, software access, or compliance deviations—fall into unstructured manual triage. Current ticketing tools require human operators to cross-reference requests against lengthy policy documents to identify the broken rule and locate the correct approver. The gap is an intelligent routing layer that autonomously flags the specific policy breach, packages the necessary context, and directs the request to the authorized decision-maker.
**Defensibility**: The product builds a proprietary graph of the unwritten organizational chart, mapping who actually approves specific types of exceptions in practice versus what the static policy states. This workflow lock-in compounds over time; as the system processes more edge cases, its routing accuracy becomes impossible for a generic ticketing system to replicate without starting the organizational learning process over from scratch.
**Why This Thesis**: An Agentic approach directly addresses the unstructured nature of exception handling. Instead of forcing employees to fill out complex forms categorizing their own policy breaches, an Agent reads the natural language request, reasons against the corporate rulebook to identify the violation, and executes the routing autonomously.

## Opportunity Linked Thesis

**Thesis**: [Software](/Theses/Software)

## Opportunity Linked I C P

**Icp**: [Insurance Carrier](/CompanyTypes/Insurance_Carrier)

## Opportunity Market Sizing

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**S A M**: ~$200-400M North American property and casualty segment
**S O M**: ~$10-25M
**T A M**: ~5,000 global insurance carriers × ~$300k/yr ≈ ~$1.5B
**Growth Rate**: ~12-18%/yr, driven by rising specialty line volumes and underwriting workforce retirement
**Paid Comparable Spend**: ~$150k-300k/yr per carrier spent on manual triage analysts and legacy BPM maintenance

## Opportunity Incumbents

- [ServiceNow GRC](/Products/ServiceNow_GRC) — Tool
- [Jira Service Management](/Products/Jira_Service_Management) — Tool
- [Shared Email Inboxes](/Products/Shared_Email_Inboxes) — DIY
- [Excel Exception Trackers](/Products/Excel_Exception_Trackers) — Spreadsheet
- [RSA Archer](/Products/RSA_Archer) — Tool
- [SharePoint Custom Lists](/Products/SharePoint_Custom_Lists) — DIY

## Opportunity Win Conditions

**Kill Thresholds**:
- Pilot-to-paid conversion rate < 40% after 90 days
- Routing accuracy < 85% requiring manual re-triage
- Sales cycle > 120 days for a $150,000 ACV contract
- Underwriter daily active usage < 30% by day 14
**Leading Metrics**:
- time-to-first-route
- auto-classification accuracy rate
- human-in-loop re-routing percentage
- daily active underwriters per carrier
- exception resolution cycle time
**What Proves Right**: Underwriters route 60% of policy exceptions through the system within 30 days of deployment. Carriers commit to $150,000 annual contracts after a 60-day pilot, entirely replacing shared email triage. Pilot cohorts demonstrate 90% daily active usage retention at the three-month mark.
**What Proves Wrong**: Underwriters revert to shared email inboxes because the routing logic misclassifies specialty line exceptions. IT security teams block production deployment over data residency constraints for policyholder information. Carriers cap spend at standard ticketing SaaS rates, refusing the enterprise value pricing.

## Opportunity Build Profile

**Hardest Part**: Dynamically resolving ambiguous policy violations to the correct functional owner across a changing organizational chart without relying on brittle manually updated IF/THEN rules.
**Min Viable Scope**: Target exclusively Travel and Expense exceptions originating from a single primary system like Concur. Deliberately exclude IT security policies, auto-approvals, and multi-tier committee routing to focus purely on first-touch triage.
**Cold Start Problem**: The system cannot accurately route exceptions without knowing the unwritten rules of an organization's approval hierarchy. Break this by integrating read-only access to a historical ticketing system like ServiceNow to map past resolution paths before going live.
**Time To First Value**: 2 weeks of historical data ingestion and active shadow-mode routing
**Data Moat Available**: true
**Technical Difficulty**: Moderate

## Neighborhood

### Where the gap lives

- [Corporate Relocation Providers](/CompanyTypes/Corporate_Relocation_Providers) — latent gap · CompanyTypes

### Incumbent in

- [Excel Exception Tracker](/Products/Excel_Exception_Tracker) — incumbent in · Products
- [ServiceNow GRC](/Products/ServiceNow_GRC) — incumbent in · Products
- [SharePoint Custom Lists](/Products/SharePoint_Custom_Lists) — incumbent in · Products
- [RSA Archer](/Products/RSA_Archer) — incumbent in · Products
- [Jira Service Management](/Software/Jira_Service_Management) — incumbent in · Software
- [Shared Email Inboxes](/Products/Shared_Email_Inboxes) — incumbent in · Products
- [Mercer Mobility Services](/Products/Mercer_Mobility_Services) — incumbent in · Products
- [Equus AssignmentPro](/Products/Equus_AssignmentPro) — incumbent in · Products
- [Exception Tracker Spreadsheets](/Products/Exception_Tracker_Spreadsheets) — incumbent in · Products
- [ServiceNow HRSD](/Products/ServiceNow_HRSD) — incumbent in · Products
- [Topia Global Mobility](/Products/Topia_Global_Mobility) — incumbent in · Products

### Applies thesis

- [Insurance Carrier](/CompanyTypes/Insurance_Carrier) — applies thesis · CompanyTypes

### Embodies

- [Software](/Theses/Software) — embodies · Theses
- [Agent](/Theses/Agent) — embodies · Theses

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