ai
Computer-Use Agents: When to Let an AI Agent Drive a Screen, and When to Give It an API
Computer-use agents reach systems with no API, but they are the slowest, least reliable way in. When to use them, the benchmarks, and the controls.
technology
RPA vs AI Agents: Which Automation Fits Which Process, and When to Use Both
RPA vs AI agents for enterprise automation: where bots still win, where agents earn their cost, the hybrid pattern, and how to triage a bot portfolio.
finance
Accounts Payable Automation: What AI Can Actually Take Over in Invoice-to-Pay
What AI can take over in accounts payable, step by step from capture to payment, where the fraud risk grows, and which controls must stay outside the model.
ai
Agent or Workflow: How to Decide What Should Be Autonomous
Most systems called agents should be workflows with a model call inside. The four shapes, a scoring rubric, and when autonomy is worth what it costs.
ai
Document AI: When LLM Extraction Beats OCR Templates, and When It Does Not
LLM document extraction reads layouts OCR templates cannot, and invents fields it cannot read. When it beats IDP, what it costs, and the controls it needs.
ai
AI Agents in the Enterprise: What Actually Works in 2026 (and What Is Still Demoware)
Most enterprise AI agents stall in pilot. A framework for the narrow, tool-constrained, well-evaluated patterns that ship, and the demoware that does not.
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