After an AI voice call ends, the useful work starts: the conversation becomes structured data, and that data updates your CRM, books the meeting, creates follow-up tasks and schedules retries. Teams that skip this end up with hundreds of recordings nobody listens to. This checklist covers what to extract and what to automate.
Set up post-call automation: Start free on Edesy — Rs 50 free credit, no demo needed.
Step 1: Extract fields, not just a transcript
Define the fields you want from every call. For a lead-qualification agent:
| Field | Example values |
|---|---|
| interest | high, medium, low, not interested |
| key qualifiers | property type, monthly bill, budget range |
| objections | price, family decision, timing |
| meeting_date / meeting_time | agreed slot |
| callback_time | "tomorrow evening" |
| outcome | booked, callback, not interested, wrong number |
Use a fixed list for outcome so reports add up. More on how extraction works:
post-call data extraction.
Step 2: Update the lead
For every call, write back to the lead record:
- the extracted fields;
- a short call summary as a note;
- an activity entry so your team sees the call happened.
Step 3: Move the pipeline stage
Map outcomes to stages. For example:
| Outcome | Stage |
|---|---|
| Reached, any answer | Contacted |
| Meeting or visit booked | Meeting Scheduled |
| Not interested | Lost (with reason) |
| Wrong number | Invalid |
Step 4: Create the next action
- Booked: create a meeting or visit and assign it to the right rep.
- Wants time: create a follow-up task, for example 48 hours later.
- Asked for a callback: record the callback time for the next attempt. See handling "call me later".
- Not reached: retry on a schedule, such as once a day, inside your calling window.
Step 5: Check it every day
Automations fail quietly. Compare the number of calls completed with the number of CRM updates each day. If they drift apart, fix it before leads are lost. See monitoring CRM sync after AI calls.
A real example
A rooftop solar installer in West Bengal runs this exact pattern. After every Bengali AI call, the lead's fields and a summary note are written back, the stage moves to Contacted or Meeting Scheduled, a meeting is created for the field rep when a survey is booked, and a follow-up task is created when the lead wants time. It has booked 300+ site surveys this way. Read the solar installer case study.
How to connect your CRM
- Built in: HubSpot, Salesforce, Zoho CRM, GoHighLevel.
- Any other CRM: webhook to your CRM's API, or Zapier.
- No CRM yet: send results to Google Sheets. See send AI call results to Google Sheets.
- Complex workflows (custom stages, task rules, assignment): available as a setup service. Talk to us.
Start
Create a free account, add five data fields to your agent, connect a test CRM or sheet, and run ten calls to your own number.