Deterministic Architectural Sprints for AI-Native B2B SaaS Platforms

I deliver a 3-phased Arvoan Masterplan to map your business reality into a deterministic semantic foundation, creating an executable ground-truth for agentic workflows.

The Arvoan Masterplan for Deterministic AI Architecture

3-Phased Architectural Masterplan

$34,500 USD (Phase 1 Initial SOW)

All prices exclusive of VAT

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The Problem

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 data relationships, and development agents hallucinate architectural rules.

The Solution

I bridge the gap between complex business logic, tribal knowledge, and agentic AI enablement by mapping your core business reality into an Executable Knowledge Graph. This eliminates guesswork from code generation to agentic workflow execution.

Why This Works

Deterministic AI Grounding: Create a deterministic grounding for SDLC and platform AI agents to operate on, reducing the risk of hallucinations.

Architectural Certainty for Scale: Gain the empirical proof required to safely scale autonomous, accurate, customer-facing workflows across your entire platform portfolio.

Automated Pipeline Governance: By wiring specialized Agent Skills directly into your CI/CD pipelines, we enforce your semantic architecture automatically.

Methodology & Timeline

This engagement follows a structured 3-phase roadmap:

PHASE 1: The Semantic Foundation (2 Weeks)

We execute a Vertical AI-Use Case Audit to isolate a single workflow and map it into a Formal Domain Ontology, creating your AI-ready single source of truth.

PHASE 2: The Execution & Automation (2 Weeks)

Translating the ontology into an Executable Knowledge Graph and building a 'Tracer Bullet' Agentic Proof of Concept to prove determinism.

PHASE 3: Platform Enablement & Governance (6-8 Weeks)

Establishing the Semantically Grounded Context Layer, CI/CD pipeline skills, and AI-Native Operating Model so engineering leadership can safely scale the architecture.

What You Walk Away With

This masterplan delivers the foundational IP and governance tools required to own your AI-native future:

The Formal Domain Ontology (Phase 1): The definitive, machine-readable specification of your business reality.

The Executable Knowledge Graph (Phase 2): Model-driven transformations to generate your AI-ready scaffolding (e.g., MCP and API specs) with zero manual coding.

Tracer Bullet Agentic PoC (Phase 2): A read-only AI skill over synthesized data proving absolute determinism.

The AI-Native Operating Model (Phase 3): A codified Concept Ownership Matrix defining strict rules for 'System of Record' vs 'System of Reference'.

The Enterprise Rollout Plan (Phase 3): A strict technical sequence for wiring remaining platform services into the semantic foundation.

Financial Structure & Authorization

Phase 1 is $34,500 USD, billed 100% upon SOW execution to bypass heavy procurement friction. Phase 2 is $80,500 USD. Phase 3 is $185,000 - $225,000 USD, finalized after Phase 2. SOWs for subsequent phases are issued sequentially.

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Satisfaction Guaranteed

Outputs vs. Engine IP Model: The client retains 100% ownership of all customized deliverables (the Formal Domain Ontology, MCP specifications, and mapped business logic). I retain ownership of the generative engine and MDE methodology, granting you a perpetual license to utilize these embedded tools for internal operations.

The Architectural Insurance Policy: I deliver fixed-scope, deployment-ready systems. Maintaining the fixed-scope 2-week delivery timelines for Phases 1 and 2 is contingent upon daily asynchronous availability of identified stakeholders and a maximum 24-hour turnaround on intermediate schema reviews.