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Deterministic Semantic Foundations for AI-Native B2B SaaS

For enterprise B2B SaaS platforms ($100M+ ARR). I resolve the cross-domain semantic divergence that causes AI agents to hallucinate across your platform through fixed-scope architectural sprints.

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  • For CTOs, CPOs, & VPs of Platform | AI-Native Platform Architecture: I map your complex business reality into an Executable Knowledge Graph. Give your engineering squads and AI agents the deterministic ground truth they need to ship cross-domain features without hallucinating structural logic.
  • Zero Open-Ended Retainers: I operate as a solo Principal Architect. I deliver fixed-scope, deployment-ready capabilities in 4 to 8 weeks, backed by mathematical proof and strict governance.
Toni Ruokolainen, Founder of Arvoan

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 4 weeks.

Phase 1: AI-Native Platform Blueprint

Establish the deterministic semantic foundation of your SaaS platform. I map your complex business reality into an Executable Knowledge Graph to eliminate cross-domain AI hallucinations.

$115,000

Fixed Project Fee

Format: 4-Week Architectural Sprint
From fragmented logic to an Executable Ground Truth.
  • The Platform Domain Lexicon (Formal entity definitions)
  • The Executable Knowledge Graph (Machine-readable meta-model)
  • The 'AI-Native Platform Story' (Use-case mapping)
  • The 'Tracer Bullet' Agentic PoC (Deterministic AI proof)

The B2B SaaS Enterprise Standard: Billed as a $35,000 Mobilization Fee, $40,000 due at mid-point, remainder on delivery. (Phase 2 Governance & Rollout is scoped upon completion)

Book Your Architecture Alignment Call
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Questions & Answers

I deliver fixed-scope architectural sprints for enterprise B2B SaaS platforms ($100M+ ARR):

AI-Native Platform Architecture: Establishing the deterministic semantic foundation (Executable Knowledge Graph) required to ship autonomous AI features safely.

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 product squads are shipping AI features that generate conflicting domain models, or your runtime AI agents are hallucinating because they lack centralized architectural context.

Agencies sell "Labor" (hours); I deliver "Systems" (IP).

  • ✅ No "Junior" Hand-offs: You work directly with a PhD in Computer Science with 15+ years of experience in domain modeling and platform engineering. You don't pay senior rates for a junior analyst to learn on your dime.
  • ✅ Architectural Insurance: I provide the deterministic ground truth that prevents semantic divergence from fracturing your platform.

To ensure a successful transformation, the engagement is structured into two distinct phases:

  1. Phase 1: The Foundation Blueprint (4 Weeks): We establish the Executable Knowledge Graph and Domain Lexicon, proven with a "Tracer Bullet" Agentic PoC. This provides the machine-readable ground truth for your platform.
  2. Phase 2: Governance & Rollout (6-8 Weeks): We establish the automated data contracts (The Generative Engine), ownership matrices, and the full transformation roadmap to scale the architecture across all squads.

I guarantee Deterministic Capability:

  • AI Reliability: Runtime agents navigate your platform logic with strict guardrails against hallucinations by following a formal metamodel.
  • Velocity: Architecture that is "executable", meaning it can be used to dynamically generate standardized AI-native assets (MCP specs, agent skills) across disparate product teams.

The argument is Risk Mitigation and Margin Protection:

  1. Architectural Insurance: A $115k Phase 1 sprint prevents millions in future technical debt caused by conflicting domain models and broken AI actions.
  2. CapEx vs. OpEx: You are making a one-time investment in a permanent technical asset rather than adding ongoing headcount or open-ended consulting retainers.

I use a transparent, fixed-fee model standardized in USD:

  • AI-Native Platform Blueprint (Phase 1): $115,000. Billed as $35,000 Mobilization, $40,000 at mid-point, and the remainder on delivery. (Phase 2 Governance & Rollout is scoped upon completion).