Practical workflow automation pattern using Claude/GPT with MCP (Model Context Protocol) connectors:

1. Connect your tools via MCP servers, plugins, or API wrappers to Claude/Codex

2. Test cross-tool operations (e.g., "read Gmail → update Salesforce", "query CRM → send email")

3. Debug until the LLM executes reliably

4. Use skill-creator patterns to codify the workflow as a reusable prompt/function

5. Repeat for every repetitive task in your stack

Real outcome: You stop touching the underlying tools directly. CRM updates, expense reports, calendar coordination, JIRA tickets—all delegated to the LLM layer.

The bottleneck shifts from manual data entry to verification. You're trading synchronization overhead for occasional spot-checks.

This isn't theoretical—it's a concrete shift in how businesses can eliminate low-value cognitive load. The tedious glue work between systems becomes an LLM problem, not a human problem.

If you're not experimenting with MCP-style tool orchestration yet, start now. The ROI on automating your most-hated tasks is immediate.