# Overhead Discovery Fabric

*/Opportunities/Overhead_Discovery_Fabric*

## Opportunity Overview

**Wedge**: Begin with marketing and engineering SaaS sprawl in B2B technology companies with 50 to 250 employees. These departments exhibit the highest volume of shadow IT and duplicate subscriptions, providing immediate proof of value. Once integrated into the corporate card and email systems for these departments, expand horizontally to human resources, operations, and general administrative overhead across the entire organization.
**Timing**: Recent advancements in LLM-based entity resolution allow for accurate categorization of unstructured credit card transactions and email receipts without pre-built vendor rules. Furthermore, the shift to decentralized SaaS purchasing during remote work has exacerbated overhead sprawl, forcing CFOs to prioritize cost control.
**Why This I C P**: Mid-market CFOs feel acute pain from shadow IT but lack the dedicated procurement teams and complex ERP integrations of enterprise organizations. They make rapid purchasing decisions when presented with immediate cash-recovery return on investment.
**Size Of Prize**: Approximately 80,000 mid-market companies in the US and UK spend an average of $30,000 annually in labor and recovered waste to audit overhead manually, creating a total addressable prize of roughly $2.4B.
**Gap Narrative**: Mid-market finance teams lack visibility into distributed SaaS, subscription, and indirect overhead spend. Existing spend management tools catch invoiced procurement but miss shadow IT, auto-renewing subscriptions, and unclassified credit card overhead. This creates a structural blind spot where companies leak cash through unused licenses and duplicate tooling.
**Defensibility**: Defensibility relies on workflow lock-in and a compounding vendor graph. As the system processes more overhead transactions, it maps the hidden vendor landscape and cancellation procedures across thousands of tools, reducing the cost to serve new customers. However, the core categorization capability is a commodity; long-term advantage requires embedding into the approval routing and card issuance workflow to increase switching costs.
**Why This Thesis**: A Service-as-Software approach fits because mid-market CFOs want the outcome of reduced overhead, not another dashboard to monitor. Agents that automatically crawl expense data, identify duplicates, and execute vendor cancellations deliver this final outcome without requiring new internal workflows.

## Opportunity Linked Thesis

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

## Opportunity Linked I C P

**Icp**: [Enterprise Manufacturing](/CompanyTypes/Enterprise_Manufacturing)

## Opportunity Market Sizing

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

**S A M**: ~$500M-800M (North American and Western European enterprise manufacturing sector)
**S O M**: ~$15M-30M (realistic 3-year capture focusing on discrete manufacturing sub-verticals)
**T A M**: ~15k-25k global enterprise manufacturers × ~$80k-120k/yr software subscription ≈ ~$1.5B-3B
**Growth Rate**: ~12-18%/yr, driven by industrial margin compression and the shift toward continuous operational telemetry
**Paid Comparable Spend**: ~$250k-750k/yr spent on external cost-reduction consulting engagements, legacy ERP overhead allocation modules, and dedicated FP&A analyst labor

## Opportunity Incumbents

- [ServiceNow Discovery](/Products/ServiceNow_Discovery) — Tool
- [Flexera One](/Products/Flexera_One) — Tool
- [Apptio Cloudability](/Products/Apptio_Cloudability) — Tool
- [Department Expense Sheets](/Products/Department_Expense_Sheets) — Spreadsheet
- [Cloud Custodian](/Products/Cloud_Custodian) — Open-Source
- [Big Four Audits](/Products/Big_Four_Audits) — Service
- [Zylo SaaS Management](/Products/Zylo_SaaS_Management) — Tool

## Opportunity Win Conditions

**Kill Thresholds**:
- Integration time exceeds 45 days for standard manufacturing ERPs
- Manual mapping intervention rate remains above 40 percent after 30 days of data ingestion
- Sales cycle exceeds 120 days for initial pilots
- Pilot-to-paid conversion rate drops below 50 percent at the $80k tier
**Leading Metrics**:
- Days to first automated overhead allocation
- Percentage of unstructured overhead mapped to cost centers without human input
- Weekly active FP&A users per deployment
- Volume of continuous telemetry endpoints ingested per hour
**What Proves Right**: Early enterprise pilots replace one manual external audit cycle within the first 90 days of deployment. Financial controllers log into the fabric weekly to map newly discovered telemetry to specific discrete manufacturing cost centers. The product sustains an $80k annual contract value with zero churn in the first cohort of paid deployments.
**What Proves Wrong**: Manufacturers refuse read access to their underlying ERP and shop-floor telemetry systems due to strict data governance policies. FP&A analysts continue exporting the fabric data into Excel to perform the actual overhead allocation manually. The sales cycle stretches past 180 days because the tool requires custom integration work for every proprietary legacy system.

## Opportunity Build Profile

**Hardest Part**: Mapping non-standardized vendor invoice line items to internal employee usage telemetry with perfect precision to safely trigger contract terminations. False positives in this mapping cause companies to accidentally shut off critical workflows.
**Min Viable Scope**: Target seat-based SaaS rationalization for mid-market software companies to identify unused licenses and duplicate software categories. Exclude usage-based cloud infrastructure spend, physical hardware asset tracking, and automated procurement workflows.
**Cold Start Problem**: The platform lacks baseline pricing benchmarks and vendor catalog mappings until it ingests thousands of real corporate invoices. Break this by seeding the engine with public pricing tiers and manually mapping the billing schemas of the 50 most common B2B SaaS tools before signing the first design partner.
**Time To First Value**: 1-2 weeks of historical invoice processing and identity provider syncing
**Data Moat Available**: true
**Technical Difficulty**: High

## Neighborhood

### Where the gap lives

- [Administration and Management](/Knowledge/Administration_and_Management) — latent gap · Knowledge

### Incumbent in

- [Big Four Audit](/Products/Big_Four_Audit) — incumbent in · Products
- [Apptio Cloudability](/Products/Apptio_Cloudability) — incumbent in · Products
- [Zylo SaaS Management](/Products/Zylo_SaaS_Management) — incumbent in · Products
- [Flexera One](/Products/Flexera_One) — incumbent in · Products
- [ServiceNow Discovery](/Products/ServiceNow_Discovery) — incumbent in · Products
- [Cloud Custodian](/Products/Cloud_Custodian) — incumbent in · Products
- [Department Expense Sheets](/Products/Department_Expense_Sheets) — incumbent in · Products

### Applies thesis

- [Enterprise Manufacturing](/CompanyTypes/Enterprise_Manufacturing) — applies thesis · CompanyTypes

### Embodies

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

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