Advisory

Every SMARTHAUS engagement starts here. We embed with your enterprise, map AI governance gaps, and prove the math works on your actual problems.

The 3-Stage Engagement Model

Advisory lands, product converts, platform expands. Each stage builds on the mathematical guarantees proven in the previous one.

Advisory

Land

We embed with your enterprise, map AI governance gaps, and run our Mathematical Autopsy process on a scoped pilot. This is where we prove the methodology works on your actual problems — not in a demo environment, but on your real systems with your real constraints. The deliverable is a governance roadmap backed by mathematical proofs, not a slide deck.

Stakeholder alignment and problem decomposition
AI governance gap analysis across your stack
Mathematical Autopsy on a scoped pilot: intent, formula, proofs, scorecard
Deliverable: governance roadmap with mathematical guarantees

Product Deployment

Convert

Once advisory proves the math works, we deploy TAI on deterministic contracts derived directly from the advisory engagement. The product does exactly what was proved — no drift between what was specified and what runs in production. CI-enforced invariants from advisory carry into the deployed system.

TAI deployment on your infrastructure
Deterministic contracts: every behavior mathematically specified
CI-enforced invariants from the advisory engagement carry into production
Deliverable: deployed AI governance with provable guarantees

Platform Expansion

Expand

AIVA extends deterministic governance control across your entire enterprise AI surface. Every model, every pipeline, every decision — governed by the same mathematical framework that was proven in advisory. Adding a new workflow goes through the same 8-stage pipeline, so governance scales with your AI footprint.

AIVA platform deployment across enterprise AI estate
Cross-system governance: unified invariants, unified proofs
Continuous verification: new deployments go through the same 8-stage pipeline
Deliverable: enterprise-wide deterministic AI governance

The Flywheel

Advisory proves the methodology on real problems. The methodology produces mathematical guarantees. Those guarantees become deterministic product contracts. Deployed products create demand for more advisory across the enterprise.

Advisory→Methodology→Product→More Advisory

What Advisory Delivers

Mathematical Autopsy

Our 8-stage pipeline: intent, formula, calculus, lemmas, invariants, notebooks, scorecard, extraction. Math before code.

Governance Roadmap

A concrete plan for deterministic AI governance across your organization. Prioritized by risk, scoped by math.

Proof of Methodology

A scoped pilot that proves MA works on your actual problems. Invariants validated, notebooks executed, scorecard delivered.

Start with Advisory

Every SMARTHAUS engagement begins with advisory. We prove the math works on your problems before any product deployment.

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