As an SDR, Fin’s goal is to help potential customers understand your product and convert their interest into action.
Fin achieves this through two essential SDR skills:
Engaging and qualifying leads
Recognizing intent to buy and triggering follow-up
This guide walks you through how to train Fin as a Customer Agent on these skills so it can engage, qualify, and convert leads at scale.
Skill: Engaging and qualifying leads
Fin can engage prospects through proactive conversations, tailored recommendations, and clear qualification to move them closer to becoming paying customers.
With this skill, Fin becomes an SDR by asking the right questions to uncover a lead’s needs, goals, timeline, budget, and company size, then routing qualified opportunities to the Sales team for the next step.
What Fin needs
Content covering pricing/plans, competitor comparisons, and case studies.
Audience to target visitors or leads.
Guidance so Fin knows how to communicate with prospects and what data to collect.
Fin Attributes to detect qualification data during a conversation.
Workflow to engage with prospects and route qualified leads to the right team.
Training Fin
First, go to Knowledge and make sure you’ve enabled Fin with content covering pricing plans, competitor comparisons, and case studies.
Now navigate to Fin AI Agent > Fin settings > Audiences and set up a new audience specifically for prospects by targeting visitors and leads. Save and apply this audience to the relevant content.
Then go to Fin AI Agent > Train > Guidance and create guidance for Fin to operate more inquisitively and collect relevant data when talking to prospects.
For example, to collect qualification data from prospects create “Communication style” guidance:
“When you chat with new prospects:
Be curious and proactive — ask open-ended questions to uncover needs.
Be qualifying — aim to collect their company size, goals, and contact email.
Be value-focused — tie questions and answers back to how Examply helps.
Be friendly but purposeful — build rapport while steering toward Sales handoff once you've qualified them.”
Note: Make sure to target the guidance to your “Prospects” audience.
For questions related to competitors and pricing, create “Content and sources” guidance which gives Fin specific content to reference for those questions:
“When a prospect wants to know more about our pricing, always use [Public article: Examply pricing plans] and [Public article: How Examply compares to other tools].”
Note: Make sure to target the guidance to your “Prospects” audience.
Next, use Fin Attributes to automatically detect lead qualification data Fin collected during conversations, such as:
Customer Goals
Team Size
Company Name
For example, to detect and capture their goals during the conversation:
Create an attribute called “Customer Goals” and give Fin more context about what it's for, and how Fin should use it in the description.
Then control who this attribute applies to by selecting an Audience. In this case, it’s for the “Prospects” audience we created earlier.
You can also control how your teammates see and interact with this attribute in the Inbox (these settings won't affect how Fin uses it).
Add values for this attribute which align with common goals your customers are trying to achieve, e.g.
Improve Team Collaboration
Increase Project Efficiency
Gain Visibility & Control
Give each of these values a very clear description of the conversation topics it applies to, common customer keywords or questions, and when it should be chosen instead of other values in the attribute.
Enable this attribute for Fin to start using it.
Create an attribute for each piece of lead information that’s important for Fin to detect and capture during a conversation.
After you’ve set up Fin guidance and attributes to collect and detect lead data, you can create Escalations Rules in Fin AI Agent > Train > Escalation to tell Fin when to pass qualifying leads to your Sales team.
For example, if Fin detects that a lead’s Company Size is 500+ employees and identifies their key Customer Goals through Fin Attributes, it will qualify the lead and hand them off to a human.
You can then use your Fin workflow to route leads to the right teammate/team based on data captured in Fin Attributes.
For example, if Fin detected the lead’s company size is “Mid-Market” or “Enterprise” route to Sales, else route to Support.
Fin will now use your content, guidance, attributes, escalation rules, and workflows to engage leads and route them efficiently once they qualify.
Fin can also use these same features in outbound workflows—for example, when a customer visits your pricing page—to proactively engage prospects, guide them through product discovery, answer questions, and qualify leads for your Sales team.
Skill: Recognizing intent to buy and triggering follow-up
Fin can also recognize genuine interest and buying intent, then move prospects directly into the sales funnel with immediate next steps such as booking a call or triggering follow-up.
With this skill, Fin becomes an SDR by detecting buying signals, collecting and qualifying lead data, pushing it into the CRM, and seamlessly routing to Sales with actions already in motion (e.g. sales meeting booked, GTM workflow triggered).
What Fin needs
Data connectors to enable Fin to read and write data to the relevant external systems e.g. CRM.
Tasks to configure Fin’s behavior and actions (note: this feature has managed availability).
Training Fin
First, go to Settings > Integrations > Data connectors to set up connectors that access data in external systems such as Clay or Salesforce, or update records in your CRM. These data connectors can then be used in your Fin Task.
Next, go to Fin AI Agent > Train > Tasks and click New task.
Note: Fin Tasks are under managed availability and you may need to reach out to your Account Manager to get access. If you don’t have Fin Tasks yet, you can still set up Fin for engaging and qualifying leads.
Give the task a title such as “Lead Qualification”.
Describe exactly when Fin should trigger this task. For example: “Fin should use this task whenever a website visitor expresses interest in starting with Exemplary Saas or asks about pricing, plans, talking to sales or how to get started. The goal is to qualify the prospect, recommend the right plan, calculate pricing for Starter or Pro, or route to sales for Enterprise.”
Then train Fin on example questions for when to trigger and when not to trigger. If you don’t define examples, Fin might misclassify user intent. Example questions you could use:
“I want to talk to sales”
“Can I book a call to discuss our needs?”
“Can I get a demo?”
“We’re looking to switch tools and want to see how [company name] compares”
“Can you share your pricing for Enterprise?”
Since this task is designed specifically for sales development, set the audience to Leads only. You can also define channel availability and more specific audience rules using data attributes.
Now click into the Instructions block to define the steps Fin should take to identify quality leads and take action, including the relevant account data Fin should read from.
For example:
Ask about goals:
Ask the visitor about their goals with a customer success platform and save their response to
[Update: Temporary attribute for prospect goals].
Evaluate goal alignment:
Determine if their goals align with what Exemplary SaaS provides as a customer success platform (customer health scores, analytics, integrations, prevent churn, unlock expansion opportunities and revenue tracking).
If their goals do not align, set
[Update: Temporary attribute for qualification status]to "disqualified" and proceed to step 3.If their goals align, set
[Update: Temporary attribute for qualification status]to "qualified" and proceed to step 4.
Handle disqualified prospects
If
[Read: Temporary attribute for qualification status]is "disqualified": Explain why Exemplary Saas may not be the right fit for their stated goalsHighlight how the platform is designed to support Customer Success teams through account health tracking, analytics, integrations, prevent churn, unlock expansion opportunities revenue management.
Thank them politely.
End the conversation.
Ask about team size
If
[Read: Temporary attribute for qualification status]is "qualified":Ask about their team size.
Save their response to
[Update: Temporary attribute for team size].
Ask about account count
Ask how many customer accounts they manage and save the response to
[Update: Temporary attribute for account count].
Qualify based on account count
If
[Read: Temporary attribute]is more than 500: Set[Update: Temporary attribute for qualification status]to "enterprise".If
[Read: Temporary attribute]is 500 or fewer: Set[Update: Temporary attribute for qualification status]to "self_serve".
Handle enterprise qualification
If
[Read: Temporary attribute for qualification status]is "enterprise": Set[Update: Temporary attribute for plan recommendation]to "Enterprise".Explain the Enterprise plan benefits (Advanced Analytics, SSO, Premium Support, dedicated CSM) and that they can add on Custom Reporting and a call with the sales team would be great to for a personalized discussion and demo.
End the task.
Tip: When you’ve finished giving Fin instructions, run a simulation to check how Fin handles different scenarios.
Click Done to save your instructions and return to the task builder. Here, you can decide what happens if Fin qualifies a lead using branches. For example, if “Plan recommendation contains enterprise” book a call with your sales team.
Once you're happy with how Fin performs the task, go ahead and select Set live to let Fin get to work! 💪
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