Where AI agents help and where they break: lessons from Klarna
Klarna ran one of the most cited enterprise deployments of AI agents in financial services, and the results were genuinely mixed. Here is what actually happened, what the numbers mean, and what any organization should take from it before committing to agent-based automation.
Go deeper, free lessons
Agents vs workflows vs automations: choosing the right level of autonomy
Guardrails, permissions, and human-in-the-loop
Evaluating and debugging agents: traces, evals, and failure modes
Tools and function calling: giving your agent hands
Cost, latency, and reliability: shipping agents to production…
The skinny
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