PRACTICAL AI AUTOMATION: Harnessing Agentic Artificial Intelligence for Business Automation with LLM-Powered Agents - Tapa blanda

PRACTICAL AI AUTOMATION : Harnessing Agentic Artificial Intelligence for Business Automation with LLM-Powered Agents

Taschenbuch. Condición: Neu. Neuware - What if your automation could interpret messy requests, choose the right tools, recover from failures, and still behave like production software-bounded, auditable, and safe Practical AI Automation is a hands-on guide to building agentic business automation systems where probabilistic reasoning is contained inside deterministic engineering controls. Instead of treating a single model response like a function call, this book shows how to design governed execution loops: typed tool calls, runtime policy enforcement, persistent state, and termination rules you can test, monitor, and explain.Inside, you'll learn how to: - Build a production agent architecture using a typed state machine, budgets, and replay protection- Expose enterprise capabilities through a schema-validated tool protocol boundary with structured errors, timeouts, and rate limits- Engineer memory and retrieval as governed subsystems that refuse to act without evidence- Implement human-in-the-loop approvals with deterministic pre-execution diffs and resumable interrupts- Defend against prompt injection, data leakage, and unauthorized actions with sanitization, scopes, and audit trails- Evaluate agent systems using trace-based metrics and regression gates that catch prompt/topology drift before release- Deploy and scale with a microservice split (API, workers, tools, state/cache, queue) that enforces backpressure and predictable SLAsWritten for engineers, technical operators, and product teams, this book provides practical blueprints you can adapt to sales/support workflows, financial operations, and internal tooling, without relying on 'trust the model' as your safety plan. The result is agentic automation that can ship: constrained where it must be, flexible where it can be, and accountable everywhere. Nº de ref. del artículo: 9798191447766

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