5 articles
AI strategy
Every article on ai strategy, newest first.
- AI strategyA responsible AI checklist for growing businessesResponsible AI for a growing business comes down to a few habits: know what data each AI system uses, tell people when they are dealing with AI, keep a human accountable for important decisions, test before launch, and keep records. Regulations such as the EU AI Act are making these habits expected rather than optional. 2 min readRead
- AI strategyAgentic AI vs RPA: what changes for business automationRobotic process automation (RPA) follows fixed, scripted steps and breaks when inputs change. AI agents handle variation — unstructured emails, documents and requests — by reasoning about what to do. The strongest setups use agents for judgement and keep scripted automation for stable, high-volume steps. 2 min readRead
- AI strategyHow to choose your first AI agent use casePick a task that happens often, follows clear rules, uses systems with an API and is cheap to correct if the agent gets it wrong. Prove value there before moving to harder work. 2 min readRead
- AI strategyHow to measure the ROI of an AI agentMeasure an AI agent the way you would measure a new hire: record how the task is done today, run the agent on the same work, and compare time per task, error rate, cost and the share of tasks it completes without help. Include the cost of human review in the comparison. 2 min readRead
- AI strategyWhat drives the cost of building an AI agent?Build cost depends mostly on how many systems the agent connects to, how complex its decisions are and how much accuracy you need. Running cost depends on volume, the models used and how much human review remains. 2 min readRead
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