How It Works

The Compliance Engine

Generative AI is probabilistic. Professional work requires determinism. Here's how we solve that.

3-Pass Injection Architecture

A deterministic pipeline that guarantees every critical input appears in the final output.

Input
Raw Context
Topic, Profile, Regulations
Your technical inputs, frameworks, and regulations
Pass 1
Extraction
JSON structured output
Key terms extracted and indexed
Pass 2
Drafting
Claude 3.5 Sonnet
Full draft generated with senior voice
Pass 3
Injection Loop
⚠ HARD GATE
Verify + Force Rewrite (up to 3 iterations)
Output
Compliant Draft
100% Input Compliance
Ready to publish or edit

Why This Matters

Three core problems that every professional faces with generic AI tools — and how we solve each one.

The Hallucination Problem

Large language models omit technical details to improve fluency. When you ask for a post mentioning ISO 14001, CSRD, or IFRS 16, generic AI tools may rephrase, abbreviate, or simply drop those terms entirely — replacing your expertise with plausible-sounding approximations.

For a lawyer or accountant, that's not a minor error. It's a liability.

The Injection Solution

Pass 3 runs a JavaScript string-matching verification layer. Every term extracted in Pass 1 is checked against the Pass 2 draft. Missing terms trigger a forced rewrite — up to 3 iterations.

97% compliance by iteration 2. The remaining 3% are caught on iteration 3 or flagged for manual review.

Data Sovereignty

Zero-Retention Policy: your data is processed in memory and discarded after generation. EU-hosted endpoints only. Your client references and proprietary methodologies never train external models.

"We Process. We Do Not Train."

Technical Specifications

AI Model
Anthropic Claude 3.5 Sonnet
Superior instruction-following for deterministic output
Processing Latency
~25 seconds
Deep reasoning and multi-pass verification
Context Window
200,000 Tokens
Full profile + topic + regulations in a single pass
Data Processing
EU-Hosted Only
GDPR-compliant, zero data retention after generation

Built for the 1% who cannot afford an error.

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