The Domain-Grounded Guardrail Build

An opinionated 2-week sprint to eliminate compliance drift by anchoring your AI-accelerated SDLC in a deterministic domain model.

The Domain-Grounded Guardrail Build

2-Week Asynchronous Build

€19,500 (Excl. VAT)

All prices exclusive of VAT

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The Problem

Large Language Models excel at generating code quickly, but they operate entirely on statistical probabilities. When unleashed on an enterprise codebase with only natural language requirements, AI agents and Copilots confidently guess. They invent parallel regulatory rules and unauthorized state transitions. This creates rogue compliance logic that pushes a massive cognitive load downstream, taxing your most senior engineers with untangling hallucinated regulatory rules in code review.

The Solution

I install a permanent Domain-Grounded Guardrail that systemically prevents AI-generated compliance errors before they bottleneck your pull requests. By extracting a targeted slice of your core regulatory rules (e.g., HIPAA, 21 CFR Part 11) into a formal domain model and injecting it directly into your AI workflow, we establish an automated, deterministic pre-flight check for your development agents.

Why This Works

Optimized DORA Metrics (Lead Time & CFR): By eliminating the rework cycles and PR bottlenecks caused by hallucinated business logic, this executable domain boundary directly accelerates your Lead Time for Changes and minimizes your Change Failure Rate.

Intercepting AI-Generated Compliance Risk & Tech Debt: By establishing the formal domain model as your single source of truth, unauthorized data structures or conflicting business rules trigger immediate failures and feedback during agentic workflows, stopping catastrophic compliance breaches and technical debt before the agent even drafts the pull request.

Frictionless Collaboration & Protected DevEx: Domain experts, developers, and autonomous agents finally share a unified, unambiguous domain understanding. This strict baseline allows even junior developers to safely explore implementation options, radically accelerating onboarding while preventing rogue logic.

Optimized Unit Economics & Latency: By providing a machine-enforced conceptual contract, coding models no longer waste massive context windows and expensive 'thinking loops' trying to deduce your application logic. This drastically reduces token burn per agentic loop, and rework, and safely routes execution to highly efficient models.

Methodology & Timeline

Delivery Mechanics for the 2-week build:

Targeted Domain Extraction (The Bounded Context)

A highly-focused, interactive remote session with your cross-functional engineering and product leads. We isolate a single, high-risk or high-value domain slice, a Bounded Context, extracting the core operational concepts, rules and constraints that carry the highest hallucination risk.

Rapid Domain Modeling & Guardrail Engineering

I specify the core domain model and invariants, formalize their semantics, and configure the customized agentic workflow setup, tailoring the automate verification hooks to your existing developer environment.

Air-Gapped Delivery & Zero-Access Integration

I don't require access to your live CI/CD pipelines, internal networks, or sensitive source code. The compiled domain model and guardrail components (e.g., skills and hooks) are delivered as self-contained artifacts, allowing instant activation without triggering traditional InfoSec bottlenecks.

Handover & Implementation Alignment

Alongside the live handover, I deliver a definitive Domain Model Evolution Runbook, the exact step-by-step instructions your engineers need to update the domain model and integrate the guardrail constraints into their agentic workflows.

What You Walk Away With

Core Deliverables owned by your engineering team at the end of the sprint:

The Formal Domain Model and Invariant Baseline: A formal, machine-readable specification defining a targeted domain slice. This domain model captures not just your core regulatory vocabulary, but the strict rules, permitted behaviors, and state transitions that govern them.

The Drop-in Guardrail Components for Your Harness: I don't install heavy proprietary software. I deliver the exact, drop-in configuration components (e.g., repository-level `.cursorrules`, Claude skills, agentic hooks) that natively force your existing AI tools to utilize the formal domain model for self-enforcement.

The Domain Model Evolution Runbook: A static baseline is a dead baseline. Instead of relying on probabilistic AI to manage its own rules, I deliver a definitive maintenance runbook for your senior engineers. Built on domain-specific modeling principles and practice, your team retains 100% deterministic control over updating the domain model as your platform scales.

Financial Structure & Authorization

Investment is €19,500 (Excl. VAT). The engagement launches on the mutually agreed date specified in the SOW, unlocking immediate architectural safety for your engineering team.

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Satisfaction Guaranteed

Outputs vs. Engine IP Model: The client retains 100% ownership of all customized deliverables (the compiled domain model, the guardrail configurations, AI skills, tools, and hooks). Arvoan retains exclusive ownership of its Background IP, granting the client a perpetual license to utilize these embedded tools for internal operations.

Operational Assumptions: Maintaining the fixed-scope 2-week delivery timeline is contingent upon the availability of your designated engineering stakeholders and a maximum 48-hour turnaround on intermediate schema reviews. Any review cycles exceeding this 48-hour SLA will automatically extend the final sprint delivery date by an equal duration to protect the integrity of the system.