Deterministic Platforms for Scaling Vertical B2B SaaS in the AI Era

For $10M+ ARR scaleups. I resolve the structural friction that stalls growth across engineering and revenue teams through fixed-scope architectural sprints.

  • For CTOs & CPOs | AI-Native Platform Architecture: I map your complex business reality into an Executable Knowledge Graph. Give your engineering squads and multi-agent workflows the deterministic ground truth they need to ship AI features without hallucinating structural logic.
  • For CROs & RevOps | The Expansion Engine: I build warehouse-native Two-Tier Expansion Indexes that pipe high-intent product signals directly into your CRM. Scale Net Revenue Retention (NRR) systematically without adding commercial headcount.
  • 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 data governance.
Toni Ruokolainen, Founder of Arvoan

Replacing fragmented logic and passive dashboards with Executable Ground Truth.

Fixed-Scope Architectural Sprints

No open-ended advisory retainers. Just deterministic foundations and high-leverage systems deployed in 4 to 8 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 AI hallucinations and shadow schemas.

$115,000

Fixed Project Fee

Format: 4-Week Architectural Sprint
From fragmented logic to an Executable Ground Truth.
  • The Platform Domain Lexicon (Formal entity registry)
  • 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

The Expansion Engine

Close more enterprise deals without bloating your headcount. A 4-week architectural sprint to map institutional 'Team Habits' and implement a Two-Tier Expansion Index that tells your commercial team exactly who to call.

$35,000

Fixed Project Fee

Format: 4-Week Architectural Sprint
From the Revenue Expansion Blueprint to a live CRM deployment.
  • Targeted Whale Hunting (Causal Two-Tier Expansion Index)
  • The Revenue Expansion Blueprint (Expansion Pattern Mapping)
  • Live Isolated Schema Deployment & CRM Sync
  • The Algorithmic Safety Valve (Mathematically Proven 25% Lift)

The Gated Sprint Architecture: Kick off instantly with a $5,000 swipeable deposit for the Revenue Expansion Blueprint. The remaining $30,000 is invoiced on standard Net-30 terms following the successful Phase 1 handover.

Book Your Architecture Alignment Call

Questions & Answers

I deliver fixed-scope architectural sprints across two distinct practice areas for $10M+ B2B SaaS platforms:

  1. AI-Native Platform Architecture: Establishing the deterministic semantic foundation (Executable Knowledge Graph) required to ship agentic AI features grounded on your business logic.
  2. The Expansion Engine: Building warehouse-native systems that pipe high-intent product signals to your CRM to scale Net Revenue Retention (NRR) without scaling headcount.

Instead of open-ended advisory retainers, I deliver deployment-ready systems that yield a permanent technical capability.

My focus is on mature vertical B2B SaaS Scaleups ($10M–$100M+ ARR) facing structural bottlenecks:

  • For CTOs & CPOs: Your product squads are shipping AI features that generate conflicting "shadow schemas", or your runtime agents are hallucinating because they lack architectural context.
  • For CROs & RevOps: You are scaling revenue by adding expensive commercial headcount because your Account Owners are hunting blindly without governed product usage signals.

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 technical debt from fracturing your platform.
  • Zero Engineering Bottlenecks: I own the "Last Mile." I build in isolated sandboxes and warehouse schemas so your internal engineering team faces zero burden and zero risk to production.

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 and Systematic Visibility:

  • AI Reliability: Runtime agents that navigate your platform logic with better guardrails against hallucinations by following a formal metamodel.
  • Quantified Pipeline Lift: For the Expansion Engine, I enforce a 25% predictive backtest. You are mathematically guaranteed a 25% lift in actionable expansion pipeline or the project stops.
  • Velocity: Architecture that is "executable", meaning it can be used to automate data contracts and accelerate feature delivery across disparate product teams.

Exactly 30 minutes for provisioning.

I do not require your engineers to build pipelines or write code for me. I build inside an isolated, read-only schema (e.g., arvoan_blueprint) in your warehouse. Your team is completely hands-off until the final "Transfer of Ownership" session.

The argument is Risk Mitigation and Margin Protection:

  1. Architectural Insurance: A $115k Phase 1 sprint prevents millions in future technical debt caused by "shadow schemas" and broken AI workflows.
  2. Decouple Revenue from Payroll: The Expansion Engine allows you to close more enterprise upgrades with your existing commercial team by identifying "hidden whales."
  3. 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.
  • The Expansion Engine: $35,000. Billed as a $5,000 swipeable deposit and $30,000 upon successful completion of the Week 1 diagnostic.

This is why my sprints are gated.

For the Expansion Engine, Week 1 is a Systematic Diagnostic. If my predictive backtest cannot prove a 25% lift due to data fragmentation, the project stops. You receive a Signal Audit Report detailing exactly what your engineers need to fix, and you are never billed for the rest of the engine.