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Demonstrates enterprise-scale GenAI platform architecture with governance, security, and responsible AI controls for central government use.

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Project Overview

A centralised generative AI platform enabling UK government departments to deploy AI capabilities whilst maintaining strict security, ethics, and operational standards. View the complete project: arckit-test-project-v9-cabinet-office-genai

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Key Features Documented

  • Multi-tenant GenAI platform architecture
  • Model marketplace and deployment pipelines
  • Responsible AI governance framework
  • Security controls for OFFICIAL data
  • Cross-department identity federation
  • MLOps and FinOps processes
  • Bias detection and monitoring
  • Explainability and audit trails

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Generated Artifacts

The repository includes:
  • Platform architecture (C4 models)
  • Tenant isolation and resource quotas
  • AI ethics and governance procedures
  • Security boundary diagrams
  • Model lifecycle management workflows
  • Cost allocation and chargeback models
  • Incident response playbooks for AI failures
  • Integration patterns with departmental systems

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Commands Used

# Initialise platform project
arckit init

# Core platform architecture
arckit.design --pattern platform

# AI-specific governance
arckit.design-review --focus ai-ethics,responsible-ai

# Multi-tenancy design
arckit.tenancy

# Security architecture
arckit.security --classification official

# Cost modelling
arckit.costs --model platform

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When to Use This Pattern

Reference this example for:
  • Enterprise GenAI platforms
  • Multi-tenant AI services
  • Cross-organisational AI sharing
  • Responsible AI governance implementation
  • MLOps platform design
  • Government AI infrastructure
  • Centralized model serving

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Key Learnings

ArcKit documented comprehensive governance covering bias testing, explainability requirements, human oversight triggers, and ethical review boards. Critical for government adoption.
Departmental isolation requires careful design. The architecture captured namespace separation, quota enforcement, network policies, and data residency controls.
From experimentation to production, ArcKit documented model registration, versioning, A/B testing, monitoring, and decommissioning processes aligned with MLOps best practices.
GenAI costs escalate quickly. The design included usage tracking, cost allocation, budget alerts, and chargeback mechanisms to ensure financial accountability across tenants.
OFFICIAL data processing demands strict controls. ArcKit generated threat models, network segmentation, encryption standards, and audit logging for all AI operations.

HMRC Tax Assistant

Departmental GenAI chatbot implementation

Scottish Courts GenAI

Justice sector GenAI strategy

Platform Design Guide

Multi-tenant platform patterns

Security & Compliance

Regulatory compliance with ArcKit

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