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Level 2 is where your AI agent becomes more than a basic support assistant. At this stage, the agent should understand how to guide a customer toward a business outcome: a purchase, booking, consultation, application, or qualified lead. A Sales-Ready Agent should not only answer questions. It should understand who the customer is, what they need, what may stop them from moving forward, and what next step makes sense.
In Hardcore Mode, Level 2 information defines the agent’s sales logic. This is where you teach the agent how to qualify leads, recognize buyer types, handle objections, and move the conversation toward the right business outcome.

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What Level 2 unlocks

After completing Level 2, your AI agent should be able to:
  • recognize different customer types and adapt communication to them;
  • ask better qualification questions;
  • understand which leads are relevant for your business;
  • guide users toward booking, purchase, consultation, application, or handoff;
  • respond to common objections without sounding pushy;
  • adapt answers to different communication channels;
  • reduce the number of incomplete, irrelevant, or poorly qualified requests sent to your team.

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1. Core buyer groups and customer personas

Your AI agent needs to understand who it is talking to. Different customer types often have different needs, pain points, objections, and reasons to buy. Provide a clear description of your main buyer groups or customer personas. For each buyer group, include:
  • who they are;
  • what they usually need;
  • what matters most to them;
  • what problems or pain points they have;
  • what convinces them to move forward;
  • what objections they usually have;
  • which products, services, or next steps are most relevant for them;
  • how the agent should speak to them;
  • when the agent should transfer them to a human manager.
Good input example: 
Buyer group: New clients choosing a beauty service for the first time

Who they are: People who have not visited the studio before and are unsure which service to choose.
What matters to them: Trust, clear explanation, price transparency, and understanding what result they can expect.
Pain points: They may be afraid of choosing the wrong service or not getting the result they want.
What convinces them: Expert recommendation, examples of previous work, consultation option, and clear next steps.
Best next step: Ask what result they want, offer a consultation, and guide them toward booking.
Tone: Warm, reassuring, and professional.
Handoff: Transfer to a manager if the client has a complex case or asks for a specialist's personal recommendation.
Hardcore Mode tipDo not only describe your audience in marketing language. Add recognition logic.
If the customer says they are not sure what to choose, treat them as a first-time client and ask about their desired result.
If the customer asks for the fastest available time, prioritize booking logic.
If the customer asks detailed technical questions, offer a manager or specialist handoff.
Why it mattersWithout buyer groups, the agent will speak to everyone the same way. With buyer groups, it can adapt the message, questions, and next step to the person in front of it.

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2. Sales or booking logic

Your AI agent needs to understand the path from the first message to the desired business outcome. Describe the ideal customer journey step by step. Include:
  • what should happen after the first message;
  • what the agent should ask first;
  • when the agent should recommend a product or service;
  • when the agent should offer booking, purchase, consultation, or application;
  • what information the agent must collect;
  • what counts as a successful conversion;
  • when the agent should stop selling and transfer to a manager;
  • what the agent should do if the customer is not ready yet.
Good input example: 
Sales flow:
1. Greet the customer and identify what they are interested in.
2. Ask what result they want to achieve.
3. If the request is simple, recommend the relevant service.
4. If the request is complex, offer a consultation.
5. Ask for the preferred date and time.
6. Collect name and phone number.
7. Confirm the next step or transfer to a manager if confirmation is required.

Successful conversion: The client books a slot, leaves contact details, or is transferred to a manager with enough context.
Hardcore Mode tipWrite your sales logic as rules, not only as a description.
If the client is ready to book, do not continue explaining all services. Move to booking.
If the client is comparing options, ask what matters most: price, result, timing, or specialist experience.
If the client asks for a service that requires expert review, offer consultation instead of giving a final recommendation.
Why it mattersIf sales logic is missing, the agent may answer every question correctly but fail to move the customer forward.

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3. Lead qualification rules

Your AI agent needs to know what makes a lead relevant, ready, or not suitable for your business. Define what a qualified lead means for your company. Provide:
  • who your target customers are;
  • who is not a good fit;
  • what information must be collected before handoff;
  • which requests are high priority;
  • which requests should be rejected or redirected;
  • what makes a lead hot, warm, cold, or not relevant;
  • when the agent should continue qualification;
  • when the agent should transfer to a human.
Good input example: 
Qualified lead criteria:
- The customer is located in Warsaw or can visit our Warsaw studio.
- The customer is interested in one of our listed services.
- The customer is ready to book within the next 30 days or wants a consultation.
- The agent must collect name, phone number, service of interest, preferred date, and any important notes.

Hot lead: Wants to book now or asks for the nearest available slot.
Warm lead: Asks about prices, services, or available specialists.
Cold lead: Only asks general questions and does not show booking intent.
Not relevant: Requests a service we do not provide or is outside our service area.
Hardcore Mode tipAdd clear routing logic for each lead type.
Hot leads should be moved to booking as quickly as possible.
Warm leads should receive helpful information and one relevant next-step question.
Cold leads should receive a short answer and a soft invitation to ask more.
Not relevant leads should receive a polite explanation and, if possible, an alternative suggestion.
Why it mattersQualification rules help the agent avoid sending every conversation to your team. They also prevent important leads from being missed or treated like casual inquiries.

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4. Customer objections

Your AI agent needs to know how to respond when customers hesitate, compare options, or are not ready to move forward. Prepare a list of common objections and approved responses. Common objections include:
  • It is too expensive;
  • I need to think about it;
  • I need to ask someone else;
  • I am comparing options;
  • I do not trust this yet;
  • I do not understand the value;
  • I do not have time now;
  • I had a bad experience before;
  • competitors are cheaper;
  • I am not sure this is right for me.
For each objection, provide:
  • what the agent should say;
  • what the agent must not say;
  • what value argument to use;
  • whether to offer an alternative;
  • whether to ask a follow-up question;
  • when to transfer to a manager.
Good input example: 
Objection: It is too expensive.

Approved response: I understand. The price depends on the service level, specialist, and the result you want to achieve. If you share what is most important for you — price, timing, or final result — I can help suggest the most suitable option.

Do not say: "It is not expensive" or "Our competitors are worse."
Next step: Ask what matters most to the customer and recommend an option or consultation.
Hardcore Mode tipObjection handling should not sound like pressure. Use a simple structure:
1. Acknowledge the concern.
2. Explain the value or reason clearly.
3. Ask a relevant follow-up question.
4. Offer the next step.
Why it mattersObjections are a normal part of the buying process. If the agent knows how to handle them, it can keep the conversation moving without sounding aggressive or robotic.

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5. Channel-specific communication rules

Your AI agent may communicate with customers across different channels. The same answer may not work equally well everywhere. Describe how the agent should behave in each channel. Common channels include:
  • Instagram;
  • Facebook Messenger;
  • WhatsApp;
  • Telegram;
  • Viber;
  • website chat;
  • email;
  • phone.
For each channel, define:
  • expected message length;
  • tone of voice;
  • whether emojis are allowed;
  • whether links can be sent;
  • how quickly the agent should move to action;
  • whether the agent should ask shorter or more detailed questions;
  • whether handoff rules are different;
  • whether booking, payment, or support behavior differs.
Good input example: 
Instagram:
- Keep answers short and friendly.
- Use emojis only if the customer uses a casual tone.
- Ask no more than one question per message.
- If the customer asks about price, answer briefly and guide toward booking or consultation.

Website chat:
- Be clear and direct.
- Explain the offer faster because the user may be comparing options.
- Ask qualification questions earlier.
- Avoid overly casual language.

Phone:
- Keep answers shorter than in chat.
- Avoid long explanations.
- Move quickly toward identifying the need and confirming the next step.
Hardcore Mode tipIf the same agent works across multiple channels, define channel behavior explicitly.
In Instagram, the agent should sound warmer and shorter.
In website chat, the agent should sound more direct and informative.
In phone conversations, the agent should use concise answers and avoid long lists.
Why it mattersChannel context affects customer expectations. A message that feels natural in Instagram may feel too casual on a website or too long in a voice conversation.

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Level 2 completion checklist

Before launching a Sales-Ready Agent, make sure you have prepared:
  • core buyer groups or customer personas;
  • recognition logic for different customer types;
  • step-by-step sales, booking, or application flow;
  • definition of a successful conversion;
  • lead qualification rules;
  • hot, warm, cold, and not relevant lead logic;
  • common objections and approved responses;
  • rules for what not to say when handling objections;
  • channel-specific communication rules;
  • clear next steps for different customer intents.
Level 2 is what turns an AI agent from a responder into a sales assistant. If the agent answers questions but does not move customers toward action, the sales or booking logic is probably not defined clearly enough.