Most coaches, consultants, and service businesses lose leads in the gap: someone reaches out, and by the time you reply, their interest has cooled. This playbook sets up your AI Agent to qualify leads, collect what you need before a call, and send a booking link when someone's ready, without you being in every conversation.
What you'll build
An AI Agent that greets incoming leads, asks qualifying questions through natural conversation, saves the answers to contact properties, and sends a booking link when the contact is a fit. Leads who aren't a fit get an honest, graceful reply. Everyone gets a fast one.
Step 1: Decide what a qualified lead looks like
Before configuring anything, write down the 2 to 4 questions you'd ask in a discovery call to know if someone's a fit: budget range, timeline, current situation, what they've already tried. These become the data your agent collects and the conditions it checks.
Step 2: Capture the qualifying data
Create a contact property for each data point (for example "Budget range", "Start timeline"). For how properties work, see Contact Profiles & Custom Properties.
Then go to AI Agent → User data collection and add each property. The agent watches for this information in conversation and saves it to the contact's profile automatically. See User Data Collection: Saving Contact Info Automatically.
Step 3: Teach it your offer
In AI Agent → Knowledge access and behaviour, add what a prospect needs to judge fit: what you offer and who it's for (and who it's not for), your process, your outcomes, a pricing or investment range, and what happens after they book. A clear "who this is NOT for" entry is what lets the agent turn down a poor fit kindly.
Step 4: Set the goal and the guardrails
In AI Agent → Goals and instructions, set Goals and capabilities to something direct: qualify incoming leads and send a booking link to contacts who are a good fit. In Account description, explain who you help, so the agent can judge fit when a situation is ambiguous.
Use Other instructions for the edges: what to say when someone clearly isn't a fit, how to handle a price question before qualifying, and what to do when a contact goes quiet mid-conversation. See Goals and Instructions: Telling Your AI Agent What to Do.
Step 5: Set the personality for sales
In AI Agent → Voice and personality, pick the Sales closer role and keep the tone warm and direct: understand the person before jumping to a solution, ask one question at a time, never pressure anyone.
Step 6: Send the booking link on intent
In AI Agent → Actions and automations, create an intent-based action for booking intent ("contact wants to book a call" or "is ready to move forward"). Attach a Calendly link pointing to your event type. When the agent detects the intent, it sends the link naturally inside the conversation.
The Calendly link is a Pro feature and needs Calendly connected first. See Calendly: Send Booking Links to Your Contacts for the connection, and Intent-Based Actions: Links, Folders & Scenario Triggers for how intents fire actions.
Step 7: Set activation rules
In AI Agent → Activation rules, use Specific intents only with intents like "asks about working together" or "inquires about services", so the agent activates for genuine leads, not every DM.
How it works in practice
A contact DMs: "Saw your post about the coaching program. Is it still open?"
The agent confirms availability and asks one question about their situation. The contact shares it; the agent follows up about timeline. Once it has enough, it judges fit and sends the booking link: "Sounds like a great fit. Here's a link to grab a time." The contact books, the agent files them in a "Call booked" folder, and your calendar fills without you in the loop.
Variations
Nurture the not-yet-ready. When the agent's judgment says a contact isn't ready, route them to a folder for a follow-up campaign in 30 days instead of ending the chat.
Recover the no-shows. Trigger a follow-up scenario for anyone who got the booking link but didn't book within 48 hours. A simple nudge recovers a real share of distracted leads.
Results to expect
A booking agent replies in seconds at any hour, which is most of the battle for inbound leads. Contacts who self-qualify and book through DM tend to show up better than cold form fills, because they've already had a real exchange. Watch your "Call booked" folder grow and your reply time drop to near zero.
🐾 Netsuke's Tips
Ask one question at a time. An agent that fires three at once feels like a form, not a conversation.
Be explicit about who your offer is NOT for. An agent that gracefully tells someone they're not the right fit saves everyone time and builds trust.
Connecting Calendly also lets Inrō track when contacts actually book, so you can filter for contacts with a confirmed upcoming appointment.
What's next?
Make sure leads who don't book right away don't slip through. See Re-engagement Campaigns for Cold Leads to follow up with anyone who got the booking link but didn't commit.