Governance by Design
We formalize intent as mathematics, prove what matters, then build. Code follows math. Our AIDF framework turns requirements into controls‑as‑code and evidence so delivery converges on success rather than drift toward failure.
Advisory, Anchored in AIDF
Our advisory work is governed by AIDF (AI Development Framework). Instead of checklists, we produce proofs: requirements become equations; ethics become constraints; compliance becomes validation.
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
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)| < εProof 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 → ValidationContinuous Validation
Runtime monitoring ensures your system stays within proven boundaries. Any deviation is mathematically detected and corrected.
Monitor: ∀t : assert(SystemState(t) ∈ ProvenBoundaries)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
Strategic AI/ML Advisory
Opportunity assessment, roadmaps, ROI modeling.
AI Readiness Assessment
Tech, data, and organizational readiness evaluation.
Data Strategy & Management
Governance, pipelines, quality management.
AI Solution Development
Architecture, model dev, integration.
AI Operations (AIOps)
Monitoring, optimization, incident management.
Ethical AI & Compliance
Bias mitigation, audits, governance.
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.