Governance by Proof

Enterprise AI governance isn't about documentation—it's about mathematical guarantees. Every compliance rule becomes an equation, every ethical constraint a provable boundary.

The AIDF Difference

While others create compliance checklists, we create mathematical proofs. AIDF (AI Development Framework) transforms governance from hope to certainty.

Compliance(system) = ∀req ∈ Requirements : ∃proof ∈ Proofs : validates(proof, req)
∃∀

Provable Compliance

Every requirement backed by mathematical proof, not just documentation.

→

Traceable Execution

From intent to implementation with complete mathematical traceability.

⊢

Ethical Constraints

Ethics encoded as mathematical boundaries, not guidelines.

Our Mathematical Approach

1

Requirements as Equations

We transform your governance requirements into mathematical statements. "The system must be fair" becomes a measurable equation with provable properties.

Fairness(model) = max|P(Y|A=a) - P(Y|A=b)| < ε
2

Proof Construction

Using formal methods and our calculus library, we construct mathematical proofs that your system satisfies each requirement. No ambiguity, no gaps.

Proof: Requirements → Implementation → Validation
3

Continuous Validation

Runtime monitoring ensures your system stays within proven boundaries. Any deviation is mathematically detected and corrected.

Monitor: ∀t : assert(SystemState(t) ∈ ProvenBoundaries)
4

Audit Trail

Complete mathematical traceability from requirement to runtime. Every decision, transformation, and output is provably compliant.

AuditTrail = Chain(Req → Proof → Implementation → Runtime)

Advisory Services

AIDF Implementation

Full framework deployment with mathematical guarantees for your AI systems.

  • Requirements formalization
  • Proof construction
  • Implementation validation
  • Runtime monitoring setup
Learn About AIDF →

Compliance Certification

Mathematical proof of compliance with regulatory frameworks.

  • GDPR compliance proofs
  • EU AI Act alignment
  • SOC 2 mathematical validation
  • Custom regulatory proofs
Certification Program →

Risk Assessment

Quantitative risk analysis with mathematical boundaries.

  • Risk quantification models
  • Failure mode analysis
  • Safety boundary proofs
  • Mitigation strategies
Risk Framework →

Custom Governance

Tailored governance frameworks with mathematical foundations.

  • Industry-specific requirements
  • Custom proof systems
  • Proprietary frameworks
  • Executive training
Discuss Requirements →

Proven Results

Financial Services

100%

Audit compliance achieved through mathematical proofs, eliminating all subjective interpretations.

Healthcare AI

43%

Reduction in compliance review time by replacing documentation with mathematical proofs.

Government Systems

Zero

Compliance violations in 3 years of operation, guaranteed by continuous mathematical validation.

Engagement Models

Proof Sprint

2-4 weeks

Rapid mathematical validation of critical requirements.

  • Single system focus
  • Core compliance proofs
  • Quick wins

Framework Implementation

3-6 months

Complete AIDF deployment with full proof systems.

  • Enterprise-wide coverage
  • Custom proof library
  • Team training

Continuous Governance

Ongoing

Sustained mathematical validation and evolution.

  • Quarterly proof updates
  • Regulatory alignment
  • Continuous monitoring

Stop Hoping. Start Proving.

Transform your AI governance from documentation theater to mathematical certainty. Every requirement proven. Every constraint guaranteed.

Schedule a Proof AssessmentRead AIDF Whitepaper