Sovereign AI Governance Audit

Agent Spend Control for Enterprises Running AI at Scale

The Question Your Auditors Will Ask: "How do you prove you control AI agent spend across all departments and vendors?"

You're deploying Claude, GPT, or custom agents for fraud detection, compliance automation, customer service. But when external auditors arrive — or tax authorities ask for cost classification — what documentation do you hand them?

The Governance Gap

❌ Invisible Spend

Token costs scattered across vendor dashboards (Anthropic, OpenAI, Azure) — no central view for finance

❌ Honor-System Caps

Soft limits in code that warn but don't enforce. Surprise invoices arrive months later.

❌ Fragmented Trails

API logs don't map to cost centers, GL codes, or business functions. Auditors can't trace spend.

This creates:

Tax classification problems (OpEx vs. CapEx? Which jurisdiction? Transfer pricing?)
SOX/GDPR gaps (can't prove data processing cost controls)
Regulatory risk (BaFin, FCA, MiCA require documented AI oversight)

The Solution: Audit-Grade Governance

We audit your AI fleet using the same architecture we built for x402 buy-side agent payments — enforceable caps, multi-account reconciliation, real-time governance.

🔗 Our Proof Point: x402 payment infrastructure (Base mainnet) with on-chain enforceable caps, real-time breach alerts, and multi-party audit trails. Transaction hash available. This isn't a pitch — it's shipped infrastructure.

What You Get (1-2 Week Engagement)

Spend Topology Map: Complete inventory of all AI endpoints (every department using Claude/GPT/custom), current costs, and governance gaps
Cap Enforcement Design: Enforceable guardrails that block overspend before it happens (not soft limits)
Unified Audit Trail: Vendor-agnostic export pipeline that maps API calls → business functions → cost centers → GL codes
Tax Preparation Pack: Jurisdiction-specific cost classification (OpEx/CapEx, transfer pricing, filing documentation)
Sovereignty Report: Data residency audit, GDPR Article 28 compliance, model routing, fail-over planning

EUR 8,000 – 15,000

Fixed price (depends on fleet size)

1-week express for small fleets | 2-week standard for multi-department deployments

Use Cases

Fintech

Deploying ML for fraud detection. Need MiCA Article 30 outsourcing documentation for regulators.

Exchanges

Automating compliance operations. Want enforceable AI spend caps for supervisor review.

Agent Platforms

Enterprise customers asking for audit-ready spend controls. Need white-label governance offering.

Enterprise

Multi-department AI deployment. Preparing for year-end external audit, need clean documentation.

Process

30-minute discovery call — we assess your fleet size and structure
Fixed-price proposal — delivered within 48 hours
1-2 week engagement — discovery → design → documentation
Delivery — executive summary (CFO/board), technical specs (engineering), audit package (auditors), tax guidance (finance/legal)

Book 30-Minute Discovery Call

We'll assess your AI systems and deliver a fixed-price proposal within 48 hours

Why Virohana

We don't sell compliance theater. We ship real sovereign infrastructure — the same team that built x402 buy-side with on-chain caps applies the same rigor to your AI fleet audit.

Akshay Shetty (lead): Built x402 buy-side agent payment infrastructure. 10+ years building sovereign financial systems. Specialized technical agents assist with discovery, design, and documentation.

Virohana — Sovereign infrastructure for agent economies

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Offer valid through Q4 2026. All engagements include NDA, IP ownership terms, and acceptance criteria.