Conversation handling works when every reply follows the same decision: what does the person mean, can the agent answer safely, and what happens next? Classify the reply before drafting. An AI SDR can interpret replies as positive responses, soft objections, out of office messages, or hard refusals, then route them accordingly.1 Treat each reply as a state change. Give routine answers a clear path and hand judgment calls to a person quickly.
Set the response rules
Set the agent's conversation rules before replies arrive. The agent then has a defined way to handle routine questions, objections, and changes in intent.
Configure the company description, assigned name and avatar, and tone of voice.2 These settings influence how the agent reacts and phrases its responses.3 Use them to set the agent's level of directness, the context it should provide, and the subjects that need a person.
Use the conversational guidelines to define how the agent should handle the conversation.4 Add a separate rule for objections.5
Ask yourself:
- Which replies can the agent answer from approved material?
- Which objections need a response before the conversation can continue?
- What wording tells the agent to stop and hand the conversation over?
Keep the rules short enough to apply consistently. Each rule should make the next action clear, or routing will vary.
Capture and classify
Begin with the reply. Preserve the message, identify its meaning, and classify it before the agent writes back.
Capture the reply, classify it, and route it according to its class, sequence stage, and owner.6 The four useful classes are positive response, soft objection, out of office, and hard refusal.1
Ask:
- Is the person agreeing to continue, raising a concern, unavailable, or refusing?
- Did the reply answer the question already asked, or introduce a new request?
- Does the current owner still make sense for this reply?
Start the answer step only after the class is clear. If the message contains more than one intent, use the part that determines the next action and preserve the rest for the person who takes over.
Answer routine questions
Routine questions need a quick, direct answer based on reusable information. Resolve the question in the same message when the agent has enough material to do so.
Most questions can be resolved with prewritten and reusable information.7 Aim for a correct answer quickly.8
A knowledge-backed workflow can read the conversation and assign an intent that represents why the person is contacting the company.9 It can combine that intent with an understanding of the message to find matching text in the knowledge content.10 The matching passages can then become a response.11
A generated response can explain how to resolve the inquiry directly in the message, so the person does not have to search through an article first.12 Keep the answer within what the material supports. An inquiry that needs investigation, a decision, or a custom answer should leave the routine path.
Useful checks for the agent are:
- Did it answer the question that was asked?
- Did it use language the recipient can act on?
- Does the reply introduce a request that needs a different route?
Handle objections
Objections need a separate response path. Give the agent enough direction to acknowledge the concern, answer within its allowed material, and recognize when the conversation should stop or change course.
Use the conversational guidelines to define how objections should be handled.5 State the permitted response and the condition that ends the automated exchange. This keeps the agent from treating a concern as an invitation to send another generic follow-up.
Ask:
- What concern did the person state?
- Can the agent answer it from existing material?
- What reply would show that continuing is useful?
When the objection is outside the agent's knowledge or authority, route it with the original wording intact. The next person needs the concern in its original context, not a shortened label.
Identify buying signals and qualify
A positive response means the conversation can progress. Qualification sets the right next step.
One inbound pattern has the agent ask two to three qualifying questions and route hot leads directly to an SDR.13 Use that pattern as a boundary: ask enough to choose the route, then stop once the route is clear.
Ask questions such as:
- What prompted the reply now?
- What would make the next conversation useful?
Use the answers to separate leads that fit a sales conversation from those that should continue through self-service.14 A positive response without enough context calls for qualification before handoff.
Route and hand off
Route according to the reply's meaning and the amount of judgment still required. Make the next owner clear, and keep the conversation context when the agent changes hands.
Complex issues that require investigation, judgment, or a customized solution should reach a human agent immediately when automation cannot genuinely help.15 A generic acknowledgment only delays the handoff.
For every handoff, keep the original reply, its classification, and the unanswered question together. Ask:
- What does the next person need to decide?
- Which part of the conversation remains unresolved?
- What action should happen after the handoff?
The next owner should have enough context to act without asking the person to repeat the conversation.
Close the loop and improve the knowledge
A reply still needs follow-up after the agent sends it. Check what happens after the answer and use failures to improve the material behind the workflow.
When a person replies with feedback or a request, the conversation can reach an agent's inbox so that a person can take over.16 Preserve that follow-up instead of restarting the sequence. A failed answer can also produce additional context about why the available material did not resolve the inquiry.17
Turn recurring unanswered questions into knowledge gaps. Teams should fill the gaps the system detects over time to improve its efficiency.18 Review those gaps when the agent gives a vague answer, routes too early, or receives a follow-up that the original response should have handled.
What not to do
Keep these failure modes out of the conversation design.
- Sending only suggested articles leaves the recipient to do all the work.19
- A keyword-based answer can depend heavily on how the person wrote the question.20
- Static formats and Help Center links can make a useful response feel like an automation instead of a personal answer.21
- Issues that need investigation, judgment, or a customized solution should go to a human when automation cannot help.15
Test each route with the question that should trigger it, then inspect the next action as well as the wording of the reply.