The Arvoan Masterplan for Deterministic AI Architecture
Map your business reality into a deterministic semantic foundation, creating an executable ground-truth for agentic workflows on your product platform and SDLC.
- The Executive Dilemma: LLMs predict patterns based on statistical likelihood, but your B2B SaaS platform operates on strict, deterministic logic. Without a formal, machine-readable semantic specification, runtime agents hallucinate business logic and development agents hallucinate architectural rules.
- The Solution: I bridge the gap between complex business logic, tribal knowledge, and agentic AI enablement. Through a 3-phased architectural masterplan, I provide the deterministic semantic foundation that natively guides both your runtime agents and your internal development Copilots.
Replacing probabilistic prompt engineering with Executable Ground Truth.
Fixed-Scope Architectural Sprints
No open-ended advisory retainers. Just deterministic foundations for enterprise AI platforms deployed in strict, phased sprints.
Phase 1: The Semantic Foundation
Extracting tribal knowledge, resolving internal schema conflicts, and mathematically defining the business reality.
Fixed Project Fee
From fragmented logic to a Formal Domain Ontology.
- Vertical AI-Use Case Audit
- Domain Concept Formalization
- The Formal Domain Ontology
Billed 100% upon execution of the Statement of Work. Commences upon mutual execution of SOW and issuance of an enterprise PO.
Book Your Alignment CallPhase 2: The Execution & Automation
Translating the formal domain ontology into an executable ground truth and proving it via an AI agent.
Fixed Project Fee
From ontology to executable ground truth.
- The Executable Knowledge Graph
- The Ontology Copilot Skills
- The 'Tracer Bullet' Agentic Proof of Concept
Billed 50% to mobilize the sprint, and 50% upon final delivery of the Executable Knowledge Graph and Automated Pipeline.
View Phase 2 DetailsPhase 3: Platform Enablement & Governance
Wire the proven mathematical foundation into your global platform to safely launch autonomous features at scale.
Fixed Project Fee
Scaling safely across your platform portfolio.
- Semantically Grounded Context Layer
- The AI-Native Pipeline Blueprint
- The AI-Native Operating Model
- The Enterprise Rollout Plan
Billed 50% to mobilize, and 50% upon final delivery. Exact investment finalized at the conclusion of Phase 2.
View Phase 3 DetailsQuestions & Answers
I deliver fixed-scope architectural sprints for enterprise B2B SaaS platforms ($100M+ ARR):
AI-Native Platform Architecture: I establish the deterministic semantic foundation required to natively guide your runtime agents and your internal development Copilots, eliminating guesswork from code generation to agentic workflow execution.
Instead of open-ended advisory retainers, I deliver deployment-ready systems that yield a permanent technical capability.
My focus is on enterprise vertical B2B SaaS platforms ($100M+ ARR) facing structural bottlenecks:
For CTOs & VPs of Platform Engineering: Your disparate product squads are leveraging AI without centralized semantic guardrails, generating conflicting "shadow schemas" and data contracts that compound technical debt and break customer workflows.
Agencies sell "Labor" (hours); I deliver "Systems" (IP).
- ✅ No "Junior" Hand-offs: You work directly with a Ph.D. in Computer Science with 15+ years of experience in service ecosystem engineering.
- ✅ Architectural Insurance: I provide the deterministic ground truth that prevents semantic divergence from fracturing your platform.
To ensure a successful transformation, the engagement follows a strict 3-phase Masterplan:
- Phase 1: The Semantic Foundation Sprint (2 Weeks): We execute a Vertical AI-Use Case Audit to extract tribal knowledge and mathematically define your business reality in a Formal Domain Ontology.
- Phase 2: The Execution & Automation Sprint (2 Weeks): We translate the ontology into an Executable Knowledge Graph and prove it via a "Tracer Bullet" agentic PoC.
- Phase 3: The Platform Enablement & Governance Sprint (6-8 Weeks): We wire the proven foundation into your global platform via a Semantically Grounded Context Layer and automated pipeline governance.
I guarantee Deterministic Capability:
- Deterministic AI Grounding: By defining a formal, machine-readable model of your business reality, we reduce the risk of hallucinations and ensure AI-driven features reliably reflect your business logic.
- Velocity via Automation: We automatically generate AI tooling (MCP and API specs) directly from the formal domain ontology with zero manual coding.
The argument is Risk Mitigation and Margin Protection:
- Architectural Insurance: Investing in centralized semantic guardrails today prevents distributed squads from generating conflicting data contracts and fracturing the platform.
- CapEx vs. OpEx: You are making a series of phased investments in permanent technical assets, starting with a targeted, low-friction Phase 1 SOW, rather than adding ongoing headcount.
I use a transparent, fixed-fee model standardized in USD, billed sequentially:
- Phase 1 (2 Weeks): $34,500 USD. Billed 100% upon execution of the SOW to quickly bypass procurement friction.
- Phase 2 (2 Weeks): $80,500 USD. Billed 50% to mobilize and 50% upon delivery.
- Phase 3 (6-8 Weeks): $185,000 - $225,000 USD. Billed 50% to mobilize and 50% on delivery.