Are AI agents replacing traditional RPA?

No. Agents excel at judgment and unstructured tasks; RPA remains best for deterministic, compliance-critical, high-volume workflows. The winning pattern is hybrid.

When should I use an AI agent vs. RPA?

Use agents for variable processes (CX triage, knowledge lookup, intent classification, case summarization). Use RPA for stable, rule-based steps (data entry, reconciliations, approvals under fixed rules).

How do I deploy AI agents safely?

Keep humans-in-the-loop at key checkpoints, enforce least-privilege access, log every action, and monitor for prompt/data poisoning or adversarial inputs before scaling.

What improves accuracy, speed, and cost?

Ground agents on clean, current data; add evals and guardrails; use caching, batching, and smaller models where possible; set SLOs for latency and track cost per task.

How do AI and RPA work together in a hybrid model?

Let AI interpret/decide (classify, extract, route); hand off to RPA to execute in systems-of-record under rules. Measure ROI via cycle time, error rate, SLA adherence, and cost per transaction.

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