Overview & objectives

This ecosystem defines how Zen AI Governance connects development tools, monitoring platforms, risk management, and evidence repositories under one governed infrastructure. Its goal is to achieve seamless compliance automation — where policy triggers actions, evidence collects itself, and dashboards report live trustworthiness scores.

Core stack architecture

Frontend: React / Next.js (Firebase Hosting + Zoho embed)
Backend: Firebase Functions / GCP Run / Cloud SQL for AIMS records
Integration Layer: Make.com / PubSub / Webhook listeners
CI/CD: GitHub Actions → Model Validation → Evidence Upload
Monitoring: Weights & Biases / EvidentlyAI / Looker Studio dashboards
Governance Apps: Zoho Desk (articles & AnswerBot), Zoho CRM (controls & incidents)
Evidence Repo: Firestore / SharePoint (dual framework tagging)

Integration map (ISO ↔ NIST ↔ EU)

• ISO §5–6: Governance policies and scope ↔ RMF GOVERN function.
• ISO §8: Operations & controls ↔ RMF MAP function ↔ EU AI Act Art 9–15.
• ISO §9: Performance monitoring ↔ RMF MEASURE function ↔ Post-Market Monitoring.
• ISO §10: Improvement & CAPA ↔ RMF MANAGE function ↔ Art 62 (Corrective actions).

Governance & workflow layer

• AI Governance Portal: central dashboard for risk, metrics, and policy status.
• Workflows: automated triggers (e.g., bias > 5 % → CAPA ticket → Oversight review).
• Notifications: Slack/MS Teams for incident alerts and audit reminders.
• Approvals: digital sign-offs stored with Evidence IDs for traceability.

Evidence & audit automation

• CI/CD pipelines push evidence (JSON, metrics, plots) to Firestore or SharePoint folder via API.
• Automated metadata tagging: {framework, clause, system, owner, hash}.
• Daily cron verifies file hash and updates last-verified date.
• Quarterly export creates ZIP for external audit review.

Dashboards & analytics

• Looker Studio: Live trustworthiness index and risk heatmaps.
• Power BI: Executive Governance KPI scorecards and audit status.
• Grafana: Incident and model performance alerts streaming from CI/CD.
• PMM Dashboard: Post-market trends, incident resolution rates, and drift detection.

Zoho integration & AnswerBot

• Zoho Desk: publishes AI Governance articles (KB source for AnswerBot).
• Zoho CRM: stores controls, risk register records, and stakeholder contacts.
• Zoho Flow / Desk API: links incidents to CAPA tracker and email alerts.
• AnswerBot integration: retrieves Desk articles to assist employees and clients in compliance queries.

Security & access controls

• Role-based access (Compliance, Oversight, Developer, Audit Viewer).
• Encryption: AES-256 for at-rest, TLS 1.3 for in-transit evidence.
• Logging & Monitoring: Cloud Audit Logs + Zoho Admin Audit Trail.
• Periodic access review every quarter by Authorising Officer.

Common pitfalls & best practices

• Tool fragmentation: Use APIs to connect rather than replace tools.
• Manual evidence capture: Automate via CI/CD and webhooks.
• Uncontrolled access: Apply least-privilege and centralised IAM.
• No data taxonomy: Tag files with framework and clause to enable search.

Implementation checklist

• Core stack deployed and integration tested (AIMS ↔ CI/CD ↔ Zoho).
• Evidence Collector and API scripts operational with auto-tagging.
• Dashboards live for risk, metrics, and CAPA trends.
• AnswerBot knowledge base synced with Desk articles.
• Security & IAM policies reviewed and approved by Compliance Lead.

© Zen AI Governance UK Ltd • Regulatory Knowledge • v1 14 Nov 2025 • This page is general guidance, not legal advice.