Spendassay

Audit Management Software

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The SaaS performs an independent, extensive audit of corporate AI spending by aggregating and analyzing expenses related to seats, API tokens, and infrastructure across multiple vendors, providing transparency and accountability in AI financial management. Key features include secure data connectors that pull raw usage and spend data, normalized cross-vendor reconciliation to produce a single CFO-credible profit-and-loss statement, and actionable insights that identify wasted resources, underutilized licenses, or profitable investments, enabling organizations to optimize AI budgets and maximize ROI. It addresses challenges such as opaque vendor billing, inefficient resource allocation, and lack of clear financial visibility for AI investments, making it ideal for finance executives, CTOs, AI teams, and corporate governance professionals seeking to control and justify AI-related expenditures.

Spendassay can be found in Audit Management Software categories.

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Spendassay Main Features

• Audit cross-vendor
  It combines all data from different AI vendors into one clear report and compares spending and usage.
• CFO-credible AI P&L
  It creates a trusted profit and loss report for finance teams to understand AI costs and savings.
• Independent auditor
  It is neutral and does not take sides, only showing real facts about AI spending.
• Connect spend + usage
  It collects data from all AI tools about spending and how they are used, without changing anything.
• Team-level by default
  It shows results at the team level to keep privacy and follow privacy rules.
• Act on findings in dollars
  It shows what seats are wasted, what licenses are underused, and what can save money this quarter.
• Counter-metrics are mandatory
  It considers the extra work and quality costs to give a full view of productivity.
• Formulas visible, assumptions editable
  It shows how it calculates savings and allows users to change the assumptions.
• Independent AI spend & productivity audit
  It checks all AI spending and how productive it is without bias from vendors.

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