Evaluate your chatbot against the workflow it needs to complete, rather than assuming custom AI is always better.
Answering a question and completing a request are different jobs. A customer may need product information, a ticket raised, or a status update from another system. First list the required tasks and determine which your current platform can support.
Review integrations, action permissions, handoffs, monitoring, and total cost. A configuration change or an additional connector may solve the problem. Custom development becomes more relevant when important gaps remain and your team can support the resulting system.
Specify the records an assistant may read and change. Require approval for sensitive actions, prevent duplicate operations, and make failures visible. A useful assistant should make it easy to reach a person with the context already attached.
Test both approaches with the same representative requests. Measure correct completion, escalations, recovery from failures, and cost per completed task. Do not treat fewer conversations reaching an agent as proof that the customer’s problem was solved.
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