I want to build a set of AI-driven plugins that plug straight into our LinkedIn connection database and continuously enrich each profile with deeper demographic details and behavioural insights. The core workflow is data updating: whenever a new customer record appears—or an existing one changes—the plugin should trigger, fetch the most relevant external signals, run light machine-learning scoring if needed, and write the additional fields back to our CRM in real time. Scope • Data domain: strictly customer data. The enrichment must cover both demographics (age band, location, income range, etc.) and behavioural patterns (engagement frequency, preferred channels, likelihood to churn). • Automation focus: updating only. Collection pipelines already exist; I just need this layer to augment and refresh the data we already hold. • Tech expectations: Python or Node, clean REST or GraphQL calls to third-party APIs, optional use of tools like Airflow, AWS Lambda, Zapier, Snowflake or similar—whatever achieves reliable, low-latency updates. • Reliability: retries, error logging, and configurable scheduling (cron + webhook support). • Privacy & compliance: GDPR-friendly design, no raw PII stored outside approved systems. Deliverables 1. Source code for the plugin(s) with clear, commented functions. 2. A short README covering setup, environment variables, and deployment steps. 3. Unit tests and a mocked sample dataset to prove the enrichment logic. 4. A one-page report explaining which external data sources or models were used and how accuracy was validated. Acceptance criteria • Given a sample customer file, the script runs and returns new demographic and behavioural fields with ≥95 % completion rate. • Running twice on the same input makes no duplicate or conflicting updates. • All variables (API keys, endpoints, schedules) are configurable from a .env or dashboard. If you have prior experience writing CRM extensions, ETL micro-services, or ML-powered enrichment tools, I’d love to see a quick demo repo or reference. Let’s make our customer records smarter, automatically.