AI integrations in microservices: practical patterns for modern architectures
Embed AI models as microservices with clear contracts, monitoring, fallbacks, and auditability.
Embed AI models as microservices with clear contracts, monitoring, fallbacks, and auditability.
AI integrations examples, from automation boost to decision-making support in ERP, CRM, HR, and data stacks. See real enterprise use cases.
See how AI integrations and automation improve enterprise workflows, save hours of work, and support smarter decision-making in your organization.
Step-by-step guide to build compliant EU AI Act data pipelines before 2026, covering key deadlines, logging, bias tests, and tips.
Conversation‑first architecture now sit at the front of frequent software and policy updates. See why to implement conversation-first architecture and how to implement it fast and well.
Explore 5 leading data transformation tool options for 2025—compare connectors, compliance, and pricing to choose the best fit for your data pipeline.
See how an ETL service accelerates hiring decisions and helps with no-code data transformation and processing, giving HR managers fast, reliable candidate shortlists and a shorter hiring cycle.
See how no-code ETL services automate CRM data cleanup: merge email, prospect & legacy lists, validate contacts, add metrics, and import error-free.
Explore how AI agents and the agentic approach help teams transform data, automate ops, and why Blocshop is the right partner for implementation.