Describe the path first, then pick the label
I would not call every chat with a “connect CRM” button an agent. First I would check whether the task needs a next-action choice and whether text analysis is needed at all.
The mistake I would remove first: For a precise rule, an agent only adds cost and another failure point. For a task with several tools, a regular FAQ bot will hit a ceiling fast.
What to prepare and what result to expect
- Outcome: You will not overpay for an agent where a rule is enough, and you will not put a chatbot on a process that needs a real action.
- Describe the task: is the path known in advance, is data access needed, is there a next-action choice, and can the result be verified?
- Keep source data and access rights separate from the output so you can audit what the bot vs agent vs workflow choice did.
- Take three real cases through a matrix: fixed path, branching, tool, error risk, support cost.
Compare three approaches on the same case
- Describe the path without technology names
Write the event, decision, action, and result. For example: new form → identify topic → create a draft → hand off to a manager.
Проверьте: Another person understands the process without the words AI, bot, and agent.
Если не сработало: First draw a flowchart of five to seven blocks.
- Check whether choice is needed
If branches are known in advance, use Router/if. If you need to pick one tool among several from context, that is an argument for an agent.
Проверьте: Every branch has a condition and an owner.
Если не сработало: Add the missing rules before complicating the architecture.
- Compare the cost of control
Estimate not only the subscription, but also logs, errors, permissions, support, and portability. For complex logic, write down who will fix the workflow on a weekend.
Проверьте: There is an answer to “who will fix a failure.”
Если не сработало: Choose a platform with a clear log and manual replay.
- Run a small test
Run the same input set through the chosen option. Compare quality, time, cost, and number of manual corrections.
Проверьте: The decision is made after real examples, not after a demo.
Если не сработало: Keep the manual process and collect more data.
Three questions before you choose
First: free-form inputs or fixed fields? Second: answer only, or take an action? Third: how many exceptions, and who accepts them? Fixed fields + one action usually means a workflow. FAQ from an approved base means a bot. Multiple sources, route choice, and validation is a candidate for an agent.
Compare not tariffs, but one operation: cost, latency, ability to replay a run, log, and access rights. Write the decision in a table so you do not argue by taste a month later.
- Start with the simplest solution class.
- An agent does not remove approval for money, email, and access rights.
How to run an honest pilot
Give a bot and an agent the same sample of 30 real requests. Count not only answer correctness, but also manual corrections, time to result, and the cost of exceptions. If the agent does not deliver a measurable gain, keep a regular workflow.
I validate the choice on one operation
For each scenario answer: free-form or fixed input, answer only or action, how many exceptions, and who accepts them. FAQ from an approved base is a bot; fixed fields and one route is a regular workflow; multiple tools and an uncertain path is a candidate for an agent.
Give two solutions the same sample of 30 real requests. Count correctness, manual corrections, latency, cost, and number of exceptions. If the agent does not deliver a measurable gain, keep a simple workflow and do not pay for autonomy just for a slide title.
Where a rule is enough, and where you need an agent
| Criterion | Question | Good sign |
|---|---|---|
| Input | What exactly enters the bot vs agent vs workflow choice? | Describe the task: is the path known in advance, is data access needed, is there a next-action choice, and can the result be verified? |
| Action | What is the system allowed to do on its own? | Only prelisted actions, without access to the entire account |
| Check | How do you know the result is acceptable? | Take three real cases through a matrix: fixed path, branching, tool, error risk, support cost. |
| Failure | Where does an unclear case go? | Start with a simpler solution and leave an expansion point—do not buy autonomy in advance. |
What should change after setup
You will not overpay for an agent where a rule is enough, and you will not put a chatbot on a process that needs a real action.
What complexity appears after a pretty demo
Calling a workflow an agent for marketing.
Comparing only subscription price.
Ignoring who will support the solution.
Giving the agent more permissions than the task needs.
When the choice already affects architecture
Bring in a specialist when the choice depends on multiple systems, long-lived state, complex permissions, or a high cost of error.
What to ask before buying a tool
Who is this approach for when choosing between a bot, agent, and workflow?
Do not choose by the trendy label. A bot answers along prebuilt branches, a workflow runs a known sequence, and an agent chooses an action from an allowed set.
Where should you start if everything is still manual?
Describe the task: is the path known in advance, is data access needed, is there a next-action choice, and can the result be verified?
How do you check that the setup will not cause harm?
Take three real cases through a matrix: fixed path, branching, tool, error risk, support cost.
What should you do with an unclear result?
Start with a simpler solution and leave an expansion point—do not buy autonomy in advance.
