Your First AI Agent Should Not Be a Chatbot
1) Chat Is Not Execution
Chatbots are easy to launch and easy to abandon. They rarely touch systems of record, so they don’t change throughput.
2) Pick a Trigger That Fires Where Work Begins
New inbound email, new form submission, new payment, new ticket. The closer you trigger to the moment work starts, the more value you create.
3) Make the Agent Write to Real Systems
CRMs, finance tools, docs, sheets, databases. If the agent doesn’t update the system of record, the team will still do the work manually.
4) Bake in Exception Handling
Missing fields, low confidence, mismatches. Route these to a queue, require approvals, and log decisions so you can improve.
5) Start With One Daily Workflow
Daily reconciliation digest, invoice intake, sales inbox routing, support triage. These prove value fast, and build confidence to expand.
Choosing the right execution model matters before implementation. Use AI Agent vs Workflow Automation: How to Choose to decide when a process should use rules, an adaptive agent, or a hybrid of both.
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