AI AUDIT SERVICE BUSINESS PLAN

I. Executive Summary

Company Description

VerityAI Labs (name chosen to signal verification and truth) is an independent AI auditing firm based in San Francisco, California, launching January 1, 2026. We operate in the AI governance and risk-management sector, delivering third-party verification for enterprise AI systems. Our core services combine a proprietary, technology-driven platform for automated model analysis with expert human review to assess fairness, accuracy, and regulatory compliance. We issue a Certified mark to organizations that pass our audits. One-liner: independent, technology-first AI audits that create a market-trusted certification.

We primarily target U.S. enterprise clients in regulated industries—finance, healthcare, insurance, and government contractors—who require documented AI integrity for compliance and customer trust. Day-to-day activities include automated model scans, bias and performance testing, documentation reviews, remediation roadmaps, and board-level reporting. Short-term goals: sign 12 enterprise clients and complete 48 audits in year one. Long-term goals: become the national standard for AI integrity and reach 1,200 annual audits by year five. One-liner: focused on enterprise compliance today and national certification scale tomorrow.

Problem

Enterprises embedding AI into operations face concrete financial, legal, and reputational risk from algorithmic bias, model inaccuracies, and a fast-evolving regulatory landscape. Emerging U.S. state and federal regulations increase compliance obligations, while most internal teams lack capacity to perform independent, defensible verification. The market currently lacks sufficient third-party verification that stakeholders can rely on.

There is a clear need for an independent verification body. Launching January 2026 in San Francisco, our firm will fill that gap by providing a proprietary, technology-driven audit paired with expert human analysis and a third-party Certified mark for compliant organizations. One-line: enterprises need an independent, defensible AI integrity standard they can trust.

Solution

Businesses face rising legal and reputational risk from biased or inaccurate AI models and lack independent, technical verification. Our independent AI audit service evaluates fairness and accuracy, issues a formal certification of compliance, and delivers actionable remediation recommendations so organizations can prove their models meet current and upcoming U.S. standards.

Core deliverables include assessments of bias, quantitative accuracy validation, formal compliance certification, targeted legal audits, hourly pricing by scope, and a secure client portal for submissions and tracking.

Mission Statement

Our mission is to build a foundation of trust in artificial intelligence by providing the most rigorous, independent, and technically advanced AI auditing services in the United States. We empower organizations to deploy AI confidently and ethically while protecting the public from biased or inaccurate automated systems. We are committed to setting the national standard for AI integrity and transparency.

Key Success Factors

These core strengths drive our ability to win and scale in the emerging U.S. AI certification market.

• Proprietary auditing technology enables scalable, deep model analysis.
• World-class AI ethicists and data scientists command premium billing rates.
• Strategic partnerships with legal firms and cloud providers supply high-value enterprise leads.
• First-mover advantage in the U.S. AI certification market as regulations take effect.
• Certification Package scale targeted at 75.0% of revenue to secure long-term profitability.

Financial Summary

The financial plan shows initial first-year EBITDA loss, breakeven in June 2027, and material positive EBITDA by 2030.

Financial requirements: minimum cash reserve $130,000 (minimum cash month May‑2027). Anticipated return: overall IRR 0.07% and ROE 21.39%; payback in 31 months; breakeven June‑2027.

Outlook: profitability achieved in mid‑2027 with EBITDA rising to $12,581,000 by 2030.

Funding Requirements

We seek $854,000 to fund $300,000 in capex, cover a first‑year operating loss of $424,000, hold a $130,000 cash buffer through May 2027, reach breakeven in June 2027, and scale to an EBITDA of $12,581,000 by 2030 while growing marketing from $50,000 to $600,000 and charging $300–$390/hour.