Hardest Part

Accurately mapping vague invoice line items and obscure vendor entity names from raw ERP data to a canonical taxonomy of software capabilities to definitively prove overlap without triggering false positives.

Min Viable Scope

Focus strictly on SaaS and software vendors for mid-market companies to deliver a definitive list of overlapping contracts. Exclude hardware, physical supply chains, complex indirect spend categories, and automated contract renegotiation workflows.

Cold Start Problem

The system requires a massive ontology of global vendors and granular software capabilities to flag overlaps accurately. Break this by scraping product documentation and licensing commercial software directories to seed the initial capability graph before analyzing the first customer ledger.

Time To First Value

24 to 48 hours for initial ERP data ingestion and classification to generate the first overlapping vendor report.

Data Moat Available

true

Technical Difficulty

Moderate

Wedge

The initial beachhead targets marketing and sales software stacks at B2B SaaS companies. This niche suffers from the highest rate of shadow IT and overlapping point solutions, providing immediate and provable return on investment upon cancellation. After capturing go-to-market stacks, the product expands into engineering toolchains, HR systems, and finally enterprise-wide IT asset management.

Timing

Large language models now reliably ingest and map unstructured contract PDFs, MSA terms, and technical documentation against a vast graph of software capabilities. Previously, this required manual analysts mapping tools to static categories, whereas today models instantly cluster disparate vendors by overlapping functional features.

Why This ICP

Procurement and IT finance leaders face immediate pressure to cut costs in constrained funding environments. They possess the exact data required to feed the system and own the direct mandate to cancel redundant subscriptions.

Size Of Prize

Roughly 40,000 mid-market and enterprise companies in the US and Europe struggle with SaaS sprawl. Multiplying this by an average annual software subscription of $15,000 for automated deduplication tools yields an addressable prize of approximately $600M annually.

Gap Narrative

Procurement teams manually sift through hundreds of vendor contracts and software subscriptions to find overlapping tools, missing hidden shadow IT and buried feature redundancies. Existing spend management tools track invoice totals but fail to parse contract line items and technical feature sets to identify when three different tools execute the exact same function.

Defensibility

Defensibility compounds through a proprietary cross-customer vendor feature graph. As the system parses contracts across hundreds of deployments, it maps the exact overlapping capabilities of thousands of niche software tools, creating a canonical deduplication database that new entrants cannot replicate without the same scale of raw contract ingestion.

Why This Thesis

Service-as-Software fits because procurement leaders want a definitive list of subscriptions to cancel, not another dashboard to interpret. The system ingests the raw documents and directly outputs a deduplicated roster of vendors with cancellation recommendations, replacing manual audits previously performed by consultants.

SAM

~$600M-800M North American and Western European large enterprises with decentralized IT and high AI shadow adoption

SOM

~$20M-40M obtainable over 3 years at current enterprise sales capacity

TAM

~25,000 global large enterprises × ~$60,000-80,000/yr platform fee ≈ ~$1.5B-2B

Growth Rate

~30-40%/yr, driven by rapid proliferation of departmental AI tools and tightening IT budget scrutiny

Paid Comparable Spend

~$120,000-180,000/yr per enterprise on manual procurement analyst labor, generic SaaS management platforms, and redundant shadow AI licenses

Kill Thresholds

• Average redundant AI spend identified < $20,000 per enterprise in first 30 days
• Time to connect expense data systems > 21 days
• Contract consolidation execution rate < 15% after 90 days
• CAC > $15,000 for paid pilot conversion

Leading Metrics

• Time to first mapped vendor ecosystem
• Dollar value of redundant AI spend identified per account
• Shadow AI adoption discovery rate
• Contract consolidation execution rate
• Expense integration error rate

What Proves Right

Enterprise procurement teams connect their expense data and identify at least $30,000 in redundant AI tool spend within the first 14 days. These teams execute consolidation actions on overlapping contracts, converting shadow IT into managed site licenses. Customers renew at higher than 85 percent because the realized cost savings demonstrably exceed the platform subscription fee.

What Proves Wrong

Expense data integrations fail to capture departmental shadow IT spending due to generic credit card transaction labels. Procurement analysts review the identified duplicates but lack the organizational authority to force department heads to switch tools. The platform finds less than $5,000 in overlapping spend, rendering the business case insufficient to justify a corporate platform fee.