AI agents

workflow automation vs rpa vs ai agents a three ascending rounded pillars

Workflow Automation vs RPA vs AI Agents: Proven Smart Guide

Three categories answer the same complaint about work moving between systems, and vendors in all three use the same slide. They are not interchangeable: one is a rules engine that orchestrates through APIs, one is a robot that drives a screen because there is no API, and one is a model that decides the sequence itself. This guide compares what each does, what each costs across build, licence, run and maintenance, how each fails, and how to combine all three in a single process — with a three-question test, a decision matrix, indicative UK cost ranges and a 90-day pilot plan.

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ai agent cost overruns prevention a wide funnel on plinth

AI Agent Cost Overruns: Essential Guide to Avoid Risk

An agent decides its own workload, so it also decides its own bill: how many steps to take, how many tools to call and how much context to carry forward. This guide explains why agent spend behaves nothing like ordinary software spend, names the seven failure modes behind most overruns, shows how to model the unit economics of a single run before you build, and sets out the design-time and runtime guardrails that cap the damage – step and depth limits, tool budgets, duplicate-call breakers, per-run cost ceilings and kill switches – plus cost regression testing, the four signals worth paging on, and a fully worked invoice-agent example.

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AI-ready data - ai ready data checklist rag ai agents a hex hub core with data plates

AI-Ready Data Checklist: Essential Fixes to Avoid RAG Risk

Retrieval pilots rarely fail because the model was wrong; they fail because the content underneath it was duplicated, stale, unparseable or wrongly permissioned. This checklist sets out what to fix before building RAG or agentic workflows on your own data: a source inventory with named owners, permission-aware indexing, duplicate and stale content sweeps, format and chunking fixes, the metadata retrieval actually depends on, governance and retrieval-level logging, and a gold question set that turns quality from an opinion into a measured trend. It closes with a realistic first month, the mistakes that stall programmes, and answers to the questions buyers ask most.

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Autonomous ERP powered by Microsoft Dynamics 365 and Copilot

Autonomous ERP: Power the Future of Business Operations with Microsoft Dynamics 365 and Copilot

Autonomous ERP represents the next stage of enterprise resource planning: a business system that does more than record transactions, enforce workflows, and produce reports. It can understand operational context, detect exceptions, recommend decisions, and allow governed AI agents to complete bounded work across finance, procurement, supply chain, projects, and administration. Microsoft is increasingly describing Dynamics […]

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Where Enterprise AI Agent Governance Hasn't Caught Up

Where Enterprise AI Agent Governance Hasn’t Caught Up

Enterprise AI Agent Governance has rapidly become one of the most important discussions surrounding enterprise artificial intelligence. While organizations are enthusiastically deploying autonomous AI agents to automate workflows, improve productivity, analyze business information, assist employees, and make operational decisions, governance frameworks have struggled to evolve at the same pace. The result is an expanding gap […]

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Hugging Face AI Agent Security Breach: When Safety Guardrails Failed

Hugging Face AI Agent Security Breach: When Safety Guardrails Failed

Hugging Face AI Agent Security Breach highlights one of the most important cybersecurity lessons emerging from the rapid adoption of autonomous AI agents. During the incident, researchers demonstrated that built-in safety guardrails designed to prevent harmful AI behavior unexpectedly restricted defensive security operations while failing to stop the attacking AI agent. The event illustrates how […]

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AI Agent Memory Poisoning: Hidden Prompts Can Plant False Memories

AI Agent Memory Poisoning: Hidden Prompts Can Plant False Memories

AI Agent Memory Poisoning is emerging as one of the most significant security threats facing autonomous artificial intelligence systems with persistent memory capabilities. Artificial intelligence agents are becoming increasingly autonomous. Learn more about secure enterprise AI through Microsoft AI. Modern AI systems can browse the web, retrieve documents, maintain long-term memory, interact with software applications, […]

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