Deterministic Architectural Sprints for B2B SaaS

I help $10M+ vertical B2B SaaS scaleups resolve the structural friction that stalls growth. I deliver fixed-scope architectural sprints to solve critical bottlenecks in AI-native transformation and NRR expansion.

AI-Native Platform Architecture

4-Week Foundation Sprint

$115,000 (Phase 1 Investment)

All prices exclusive of VAT

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The Problem

LLMs operate on statistical likelihood, but vertical SaaS platforms operate on strict, deterministic logic. Without a machine-readable semantic layer, product agents hallucinate data relationships and engineering squads generate conflicting 'shadow schemas,' compounding technical debt.

The Solution

A phased architectural engagement to establish and scale your platform's semantic foundation. We begin with a 4-week sprint to map your business reality into an Executable Knowledge Graph, providing the deterministic ground truth required for agentic workflows.

Why This Works

Eliminate Structural Hallucinations: Provide agents with a machine-readable metamodel of your platform's logic to ensure deterministic grounding.

Increase Feature Velocity: A shared vocabulary allows engineering teams to build new features and integrations faster, without data inconsistencies.

Risk Mitigation: Prevent fragmented data silos and hallucinating development Copilots from fracturing the platform.

Methodology & Timeline

This engagement follows a structured two-phase roadmap to move from blueprinting to full platform governance:

PHASE 1: The Platform Foundation Blueprint (4 Weeks)

Execution of the core Domain Lexicon and Executable Knowledge Graph. We codify your business reality into a strict meta-model and prove it with a 'Tracer Bullet' Agentic PoC.

PHASE 2: Platform Governance & Rollout (Recommended)

Establishment of the Governance Playbook, automated data contracts, and the AI-Native Transformation Roadmap. This ensures your teams can scale the platform safely and rapidly.

What You Walk Away With

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

The Platform Domain Lexicon (Phase 1): A formal, documented registry of your platform's core operational entities and their relationships.

The Executable Knowledge Graph (Phase 1): A machine-readable semantic layer including formal architectural models and foundational data schemas.

The Governance Playbook (Phase 2): Exact evaluation criteria, review processes, and SDLC guidance for engineering leadership.

The Generative Engine (Phase 2): Fully automated generation of AI-ready assets (e.g., Claude Skills, API specs) directly from the meta-model.

The AI-Native Transformation Roadmap (Phase 2): A strategic guide detailing how to use the Executable Knowledge Graph to integrate new modules and onboard teams into the evolving architecture.

The Phase 1 Enterprise Standard

Phase 1 investment is $115,000, billed as a $35,000 Mobilization Fee, $40,000 at mid-point, and the remainder upon delivery. The specific investment for Phase 2 ($185k–$225k) is finalized upon the delivery of the Phase 1 Blueprint to ensure precise alignment with your domain complexity.

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Satisfaction Guaranteed

Clarity, not dependency: My role is to equip your team with live capabilities, not to become a permanent fixture in your Slack. I conclude every engagement with a 'Transfer of Ownership' session. If the strategy, architecture, or logic are not crystal clear for your team to own, I will refine them immediately at no cost.

The Architectural Insurance Policy: I do not sell open-ended labor or endless advisory retainers. I deliver fixed-scope, deployment-ready architectural sprints (4 to 8 weeks) designed to provide a deterministic foundation for your next phase of scale.