# Shadow Approval Engine

*/Opportunities/Shadow_Approval_Engine*

## Opportunity Overview

**Wedge**: The initial beachhead is software procurement approvals for IT teams. IT faces the highest volume of urgent, high-context requests where security and budget overlap. After capturing IT software approvals, the platform expands laterally to finance for travel and expense approvals, and finally to legal for contract reviews.
**Timing**: Large language models now reliably extract intent from unstructured Slack messages and intake forms, comparing them against complex corporate policy documents in seconds. Previously, deterministic software failed because policy exceptions and justifications are inherently unstructured.
**Why This I C P**: Finance and procurement leaders in mid-sized enterprises face high transaction volumes but lack the massive compliance headcounts of Fortune 500s. They feel the pain of approval bottlenecks immediately through delayed software renewals and internal employee friction.
**Size Of Prize**: Roughly 40,000 mid-market and enterprise companies in the US spend an estimated $50,000 annually in fragmented labor hours on manual compliance and procurement review. This yields a $2B total addressable market for automated approval context gathering and routing.
**Gap Narrative**: Mid-market finance and IT teams lose thousands of hours annually hunting down context for employee requests across scattered systems before they click approve or deny. Current spend management tools enforce routing but fail to assemble the unstructured justification, vendor risk profiles, and historical context required to make the actual decision.
**Defensibility**: Defensibility builds through workflow lock-in and proprietary policy mapping. As the engine ingests a company's specific history of approved and rejected requests, it forms a local context model that mirrors the unwritten risk tolerance of the organization. Replacing it means returning to manual context-gathering and losing institutional memory.
**Why This Thesis**: An Agentic Software approach matches the problem shape because the core bottleneck is data gathering and policy synthesis, not final accountability. An agent retrieves vendor data, checks budgets, and reads contracts, leaving the final fiduciary click to a human controller.

## Opportunity Linked Thesis

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

## Opportunity Linked I C P

**Icp**: [Financial Services Firm](/CompanyTypes/Financial_Services_Firm)

## Opportunity Market Sizing

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

**S A M**: ~$600M - ~$800M US and UK asset managers, regional banks, and mid-market brokerages
**S O M**: ~$15M - ~$35M
**T A M**: ~40k mid-to-large global financial institutions × ~$50k/yr ≈ ~$2B
**Growth Rate**: ~12-18%/yr, driven by intensifying SEC/FINRA audit requirements and the proliferation of decentralized operational software requiring compliance oversight
**Paid Comparable Spend**: ~$80k - ~$150k/yr per firm on custom Jira or ServiceNow workflow maintenance, legacy BPM software, and manual compliance audit labor

## Opportunity Incumbents

- [ServiceNow Flow Designer](/Products/ServiceNow_Flow_Designer) — Tool
- [Microsoft Power Automate](/Products/Microsoft_Power_Automate) — Tool
- [Jira Service Management](/Products/Jira_Service_Management) — Tool
- [Custom Slack Integrations](/Products/Custom_Slack_Integrations) — DIY
- [Email Approval Threads](/Products/Email_Approval_Threads) — DIY
- [Shared Excel Trackers](/Products/Shared_Excel_Trackers) — Spreadsheet

## Opportunity Win Conditions

**Kill Thresholds**:
- Time-to-first-integration > 30 days
- Auto-approval rate < 15% at day 45
- Active pilot-to-paid conversion rate < 20% at $50k/yr
- Zero audit reports exported during the 30-day pilot window
**Leading Metrics**:
- Days from pilot kickoff to first connected system sync
- Percentage of total operational requests routed through the engine
- Auto-approval rate for routine tickets
- Audit log export frequency per month
- Human-in-the-loop escalation response time in hours
**What Proves Right**: Mid-market asset managers connect the engine to their existing Jira and Slack instances within 14 days. Compliance officers configure routing rules that auto-approve at least 40% of standard operational requests. Customers sign $50,000 annual contracts after a 30-day pilot yields a complete, zero-gap compliance audit trail.
**What Proves Wrong**: Security teams block API access to operational systems, stalling deployment past 45 days. Compliance users revert to email threads because the rule builder fails to support multi-step financial oversight logic. Pilot conversion remains below 20% as firms choose internal ServiceNow customization over third-party software.

## Opportunity Build Profile

**Hardest Part**: The single hardest technical challenge is reliably extracting undocumented context from approval chains, such as implicit hierarchy rules or brief text justifications, to achieve the necessary 99 percent compliance accuracy without triggering false positives.
**Min Viable Scope**: Focus v1 exclusively on software access provisioning within a single ticketing system like Jira, operating entirely in read-only shadow mode. Deliberately leave out financial procurement approvals, multi-step parallel routing, and automated execution.
**Cold Start Problem**: The engine requires a deep repository of past decisions to establish baseline heuristics before it can run safely. Break this by starting with a static export of historical ticketing data to train the initial weights before ever connecting to a live workflow.
**Time To First Value**: 2 to 4 weeks of shadow mode operation to generate the first trust report comparing machine decisions to human outcomes.
**Data Moat Available**: true
**Technical Difficulty**: High

## Neighborhood

### Where the gap lives

- [Compliance Rejection Rate](/Metrics/Compliance_Rejection_Rate) — latent gap · Metrics

### Incumbent in

- [Email Approval Chains](/Products/Email_Approval_Chains) — incumbent in · Products
- [Custom Slack Integrations](/Products/Custom_Slack_Integrations) — incumbent in · Products
- [Jira Service Management](/Software/Jira_Service_Management) — incumbent in · Software
- [ServiceNow Flow Designer](/Products/ServiceNow_Flow_Designer) — incumbent in · Products
- [Shared Excel Trackers](/Products/Shared_Excel_Trackers) — incumbent in · Products
- [Microsoft Power Automate](/Products/Microsoft_Power_Automate) — incumbent in · Products

### Applies thesis

- [Financial Services Firm](/CompanyTypes/Financial_Services_Firm) — applies thesis · CompanyTypes

### Embodies

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

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