Less copy-paste, more value. API automation connects your systems, secures flows, and saves time. We map processes (events, actors, data), design robust integrations, and choose the right mechanisms: webhooks and events, scheduled jobs, light orchestration, queues when needed. APIs are treated as contracts: versioning, idempotence, timeouts, rate limiting, caching, security, observability. For AI ecosystems, we use MCP (Model Context Protocol) where relevant. Rather than ad-hoc connections, your data and functions are exposed behind an MCP server; assistants/agents access via a standard client with permissions, logging, and safeguards. Practical benefits: cleaner interoperability, reduced debt, better cost and latency control. Our toolbox remains pragmatic: event schemas, light ETL transformations, validation, retries, action-oriented alerts, monitoring (errors, latency, throughput). We consider performance (caching, pagination, back-pressure), CI/CD (integration tests, environments, feature flags), and resilience (controlled degradation, timeouts, retries, dead-letter queues). Errors matter for the product: with the Design System, we plan empty/loading/error states; in UX Design, we clarify messages; in consulting, supervision is embedded in product governance (RACI, rituals, Decision Log). Connections with other hubs create a natural vortex. To Tech: custom web development relies on these connectors for faster delivery; sustainable web performance benefits from leaner APIs. To Design: error messages, recovery, and confirmations are considered early; prototype-testing validates critical scenarios. To Consulting: roadmap and prioritisation rely on dependency mapping; training spreads good integration practices. AI integration becomes a natural extension: retrieval, internal assistants, summaries, classification, secure actions. Humans remain in the loop for sensitive operations, with regular audits (logs, metrics, costs). Goal: automate what should be automated, not everything. Deliverables: flow mapping, connectors, API contracts, MCP server if relevant, orchestration scripts/ops, integration tests, monitoring dashboards, runbooks, clear documentation. Outcome: reliable flows, relieved teams, solid foundation for products and assistants.