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AI Agents and Automation

How to decide between rules, AI and hybrid automation, and how to design document and workflow automation people can trust.

About this topic

Automation projects succeed when the boundary between deterministic rules, AI judgement and human review is clear. The articles in this topic help operations and product teams decide which parts of a workflow suit fixed rules, which benefit from AI and where a person must stay in control.

We focus on business workflows such as document intake, classification, routing and customer support. Expect checklists for inputs and exceptions, notes on measuring accuracy by field rather than overall impressions, and guidance on audit trails and escalation paths.

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AGAI Agents and AutomationBusiness Workflow Automation: When to Use AI and When Rules Are EnoughChoose rules, AI or a hybrid approach for business workflow automation using input complexity, review needs, failure handling and operating costs.5 min read

19 articles

All AI Agents and Automation articles

AGAI Agents and AutomationChoosing an Agentic AI Framework: LangGraph, CrewAI, OpenAI Agents SDK, Google ADK and Microsoft Agent FrameworkA practical comparison of agentic AI frameworks — LangGraph, CrewAI, OpenAI Agents SDK, Google ADK, Microsoft Agent Framework and others — with selection criteria and a scored shortlist.10 min read

AGAI Agents and AutomationAgentic AI vs Generative AI: A Practical Decision GuideUnderstand the real difference between generative and agentic AI, when each fits, the workflow patterns in between and the controls agents need before they take actions.7 min read

AGAI Agents and AutomationAI Agents for Fraud Detection: Designing Human-Controlled Decision WorkflowsWhere AI agents help in fraud operations, how to combine them with risk models and rules, the metrics that matter, a worked cost comparison and the controls regulators and auditors expect.11 min read

AGAI Agents and AutomationContext Engineering for AI Agents: Giving Models the Right Information at the Right TimeWhat context engineering is, why agents fail without it, the techniques that work — retrieval, compaction, notes, sub-agents and tool design — and how to measure and secure an agent’s context.6 min read

AGAI Agents and AutomationCustomer Support AI Agents: A Reference Architecture with Escalation and GuardrailsA reference architecture for customer support AI agents: channels, orchestration, retrieval, action tools with permissions, escalation to humans, evaluation, metrics and rollout.6 min read

AGAI Agents and AutomationMulti-Agent AI Systems: When Several Agents Beat One, and When They Do NotWhat multi-agent AI systems are, the main coordination patterns, when multiple agents outperform a single agent, the costs and failure modes, and how to evaluate them.6 min read

AGAI Agents and AutomationPredictive Project Management: Using AI Agents to Spot Delivery Bottlenecks EarlyHow AI agents can forecast delivery bottlenecks from issue trackers, code repositories and CI data: the signals that matter, a worked example, metrics, privacy guardrails and a practical rollout.5 min read

AGAI Agents and AutomationStateful or Stateless AI Agents? A Product Architecture DecisionWhat state really means for AI agents, the four kinds of state to design, when stateless agents are enough, when you need memory, hybrid patterns, and the privacy and cost implications.7 min read

AGAI Agents and AutomationWhat Are AI Agents? A Practical Guide for Product and Engineering TeamsWhat AI agents are, how the agent loop works, the five components every agent needs, levels of autonomy, where agents fit, and the controls to put in place first.9 min read

AGAI Agents and AutomationAI Document Processing: Use Cases, Costs and Human ReviewExplore AI document processing through intake, extraction, validation and human review, with a practical evaluation and cost model for one workflow.6 min read

AGAI Agents and AutomationBusiness Workflow Automation: When to Use AI and When Rules Are EnoughChoose rules, AI or a hybrid approach for business workflow automation using input complexity, review needs, failure handling and operating costs.5 min read

$Software Costs and BudgetsAI Agents in Retail: Use Cases, Cost Drivers and a Business Case You Can DefendWhere AI agents add value in retail, what drives build and running costs, a worked business case with payback, the risks to manage, and how to scope a first project.8 min read

$Software Costs and BudgetsAI FinOps for Product Teams: Measuring Cost per Successful WorkflowA practical AI FinOps guide for product teams: cost per successful workflow, a worked token and review-cost model, attribution, budgets and safe optimisation.12 min read

QAQA and Software TestingAI in Software Testing: Evaluating Testing Agents against Your Existing SuiteA practical playbook for AI-assisted QA: where AI helps in testing, where it fails, and how to evaluate testing agents against your existing suite before adopting them.8 min read

PDProduct Design and DiscoveryConversational UI: When Chat Is the Right Interface and How to Design It WellWhat conversational interfaces are, when chat or voice beats forms and menus, design principles for LLM-powered assistants, hybrid patterns with buttons and cards, accessibility, failure handling and metrics.5 min read

AIAI and Machine LearningBlack Box AI and Explainability: What Product Teams Need to KnowWhat makes AI a “black box”, why it matters for trust, regulation and debugging, the main explainability techniques such as SHAP, LIME and counterfactuals, explaining LLM outputs, and how to choose the right level of transparency.4 min read

AIAI and Machine LearningResponsible AI in Practice: Turning Principles into Product DecisionsHow product teams turn responsible AI principles into practice: risk classification, the NIST AI RMF, ISO/IEC 42001, the EU AI Act timeline, bias testing, transparency, human oversight and governance for generative AI and agents.4 min read

$Software Costs and BudgetsAI Chatbot Development Cost: Setup, Integration and Ongoing ExpensesUnderstand AI chatbot development costs across setup, integrations, model usage and maintenance, with a practical way to estimate recurring expenses.5 min read

LLMGenerative AI and LLMsCustom AI Chatbot vs Off the Shelf Tools: Which Should Your Business Choose?Compare custom AI chatbots with off-the-shelf tools by workflow fit, integrations, data controls and total ownership cost before deciding to build.5 min read

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