Call summarized event
Receive AI call summaries and transcripts.
Subscribe to the "Call Summarized" webhook to get AloAI's call summary and the full transcription pushed to your CRM or any other system. Use it when you want the key points of each call available elsewhere without opening Aloware.
What you need first
- Webhooks turned on: check your AloAI account settings and confirm webhook services are active.
- A receiving system that accepts webhooks: your CRM or external tool must support them, for example through Zapier or a custom API.
- Access to webhook settings: your Aloware admin account needs the "Integration Settings" page so you can add or manage webhook events.
Setup
Step 1. Turn on the event
In your Aloware admin account, open "Integration Settings".
Under "Webhook Events", tick the "Call Summarized" checkbox.
Step 2. Check the connection
Point the webhook at webhook.site or a comparable validation service, then send a test payload from AloAI and confirm it arrives.
Step 3. Send it to your CRM (optional, with Zapier)
- In Zapier, create a Webhook Trigger (Catch Hook).
- Use that webhook URL so call summaries reach your system in real time.
- Map the incoming fields, such as the reason for the call or its outcomes, to fields in your CRM.
Payload
Each "Call Summarized" event delivers a body shaped like this:
{
"body":{
"summary":"### Call Summary\n\nThe agent provided information about Jalwar, a cloud-based phone system for sales and support teams. The customer, [PERSON_NAME] [PERSON_NAME], inquired about Jalwar and provided their phone number [PHONE_NUMBER].\n\n### Reason for the call\n\nThe customer contacted the agent to learn more about Jalwar.\n\n### Solutions offered by the agent\n\nThe agent explained that Jalwar is a **cloud-based phone system** designed for sales and support teams, offering:\n- Integration with CRMs like **HubSpot and Salesforce**\n- Calling and SMS capabilities\n- Automation tools including power dialing, AI driving, call routing, and booking messages\n\n### Pitches offered by the agent\n\nThe agent positioned Jalwar as best for teams requiring:\n- Omnichannel communication for calls and text\n- CRM integrations\n\n### Actions taken during the call\n\n- The agent asked for the customer's name and phone number\n- The customer provided their personal information\n- The agent explained Jalwar's features and benefits\n\n### Call outcomes\n\nThe customer indicated that the information provided was sufficient, stating \"No, no, that's good for me.\"\n\n### Agent action items after the call\n\nThe transcription does not mention any specific agent action items after the call.\n\n### Customer action items after the call\n\nThe transcription does not mention any specific customer action items after the call.",
"transcription":{
"id":11299,
"transcription_id":"7c51b5ce-16ca-4765-8224-3e7406d0fcd8",
"opensearch_id":null,
"driver":"assembly_ai",
"communication_id":373640,
"user_id":15765,
"status":3,
"summary":null,
"overall_sentiments":null,
"summary_engine":1,
"custom_summary":"### Call Summary\n\nThe agent provided information about Jalwar, a cloud-based phone system for sales and support teams. The customer, [PERSON_NAME] [PERSON_NAME], inquired about Jalwar and provided their phone number [PHONE_NUMBER].\n\n### Reason for the call\n\nThe customer contacted the agent to learn more about Jalwar.\n\n### Solutions offered by the agent\n\nThe agent explained that Jalwar is a **cloud-based phone system** designed for sales and support teams, offering:\n- Integration with CRMs like **HubSpot and Salesforce**\n- Calling and SMS capabilities\n- Automation tools including power dialing, AI driving, call routing, and booking messages\n\n### Pitches offered by the agent\n\nThe agent positioned Jalwar as best for teams requiring:\n- Omnichannel communication for calls and text\n- CRM integrations\n\n### Actions taken during the call\n\n- The agent asked for the customer's name and phone number\n- The customer provided their personal information\n- The agent explained Jalwar's features and benefits\n\n### Call outcomes\n\nThe customer indicated that the information provided was sufficient, stating \"No, no, that's good for me.\"\n\n### Agent action items after the call\n\nThe transcription does not mention any specific agent action items after the call.\n\n### Customer action items after the call\n\nThe transcription does not mention any specific customer action items after the call.",
"summary_prompt":"### Call Summary\n\n_This is the prompt label and should be used as the header for this section._\n\nProvide an overall summary of the call.\n\n### Reason for the call\n\n_This is the prompt label and should be used as the header for this section._\n\nIn addition to the summary, identify and highlight the primary reason the customer contacted the agent. Summarize the customer's main concern or request.\n\n### Solutions offered by the agent\n\n_This is the prompt label and should be used as the header for this section._\n\nIn addition to the summary, identify and list any solutions or suggestions the agent provided to address the customer's issue. Include any specific actions or recommendations the agent made.\n\n### Pitches offered by the agent\n\n_This is the prompt label and should be used as the header for this section._\n\nIn addition to the summary, identify and list any pitches or promotional offers the agent presented to the customer. Highlight how the agent positioned these pitches to address the customer's needs or concerns.\n\n### Actions taken during the call\n\n_This is the prompt label and should be used as the header for this section._\n\nIn addition to the summary, identify and list the actions taken by both the agent and the customer during the call. Include any steps the agent took to resolve the issue or fulfill the customer's request.\n\n### Call outcomes\n\n_This is the prompt label and should be used as the header for this section._\n\nIn addition to the summary, summarize the outcome of the call. If it was a support call, did the agent resolve the customer's issue? What was the final resolution or next step agreed upon by both parties? If it was a sales call, did the agent successfully make a sale? If not, does the agent have next steps set after the call?\n\n### Agent action items after the call\n\n_This is the prompt label and should be used as the header for this section._\n\nIn addition to the summary, identify any follow-up actions or tasks the agent is responsible for after the call, as mentioned in the transcript. Summarize these action items clearly.\n\n### Customer action items after the call\n\n_This is the prompt label and should be used as the header for this section._\n\nIn addition to the summary, identify any follow-up actions or tasks the customer is responsible for after the call, as mentioned in the transcript. Summarize these action items clearly.\n\n",
"feedback":0,
"summary_status":3,
"summary_created_at":"2025-01-14 15:54:40",
"created_at":"2025-01-14 15:54:26",
"updated_at":"2025-01-14 15:54:40",
"company_id":7,
"deleted_at":null
},
"contact":{
"id":44772569,
"company_id":7,
"user_id":15765,
"initial_campaign_id":2442,
"disposition_status_id":14055,
"lead_source_id":null,
"intake_source":"guesty",
"phone_number":"+351912227447",
"company_name":null,
"email":"hugo@aloware.io",
"first_name":"Hugo Test 1",
"last_name":"Guesty 2",
"timezone":"Atlantic/Azores",
"external_data":{
"summary":{
"summary":{
"outcome":"The conversations led to a better understanding of **Aloware**'s functionalities by the contact, resulting in positive acknowledgment from the contact about sufficient information received. However, there were several instances where busy signals may have hindered effective communication.",
"key_topics":[
"Inquiries regarding the **Aloware** system, including its **CRM integrations** and **communication capabilities**. Several calls addressed the cloud-based nature of the services and their application for sales and support teams.",
"Issues concerning call outcomes were raised, particularly **busy signals** that affected further communications, prompting a review of connection strategies."
],
"introduction":"The interaction involved multiple calls and texts between **Hugo Test 1 Guesty 2** and agents **Hugo Salomon** and **Volodymyr Shandak**. The primary focus was on inquiries related to **Aloware** and its integrations, with agents providing insights into various features and capabilities.",
"additional_notes":"There were notable trends in the number of busy outcomes from both calls and text interactions, indicating a need for enhanced scheduling and response strategies to improve customer engagement.",
"follow_up_actions":{
"agents":[
{
"name":"Hugo Salomon",
"action":"Ensure to follow up on busy calls to re-engage the contact."
},
{
"name":"Volodymyr Shandak",
"action":"Review and optimize calling strategies to minimize busy signals."
}
],
"contact":[
{
"name":"Hugo Test 1 Guesty 2",
"action":"Consider available times for the agent to reconnect without busy outcomes."
}
]
},
"coaching_opportunities":[
{
"agent":"Hugo Salomon",
"opportunity":"Enhance techniques for handling calls during peak times to prevent busy signals and improve engagement."
},
{
"agent":"Volodymyr Shandak",
"opportunity":"Encourage proactive follow-up calls after busy outcomes to maintain customer interest."
}
]
},
"created_at":"2024-12-26 17:01:42",
"updated_at":"2025-01-14 15:53:00",
"creation_time":0.5508439540863037,
"generation_time":8.722631216049194
}
},
"csf1":null,
"csf2":null,
"unread_count":0,
"cnam_source":null,
"cnam_city":"Portugal",
"cnam_state":"GA",
"cnam_zipcode":null,
"cnam_country":"US",
"address":null,
"website":null,
"notes":null,
"date_of_birth":null,
"last_engagement_at":"2025-01-14 15:52:56",
"last_engagement_text":"↗ (Hugo Salomon) Call.",
"nb_communications":248,
"inbound_call_count":3,
"outbound_call_count":171,
"inbound_sms_count":4,
"outbound_sms_count":70,
"unread_voicemail_count":0,
"unread_missed_call_count":0,
"lrn_type":1,
"is_blocked":false,
"is_dnc":false,
"uuid_v4":"8c109300-70a0-4451-8a3c-793989b82f01",
"text_authorized":0,
"text_authorized_at":null,
"created_at":"2024-09-18 14:45:37",
"name":"Hugo Test 1 Guesty 2",
"campaign_ids":[
2585,
2442,
1125,
2658,
1860,
1906,
750,
991,
1993,
2212,
721,
2451,
505,
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],
"lead_source":"",
"integration_data":{
"hubspot":{
"contact_id":"75270345771",
"link":"https://app.hubspot.com/contacts/8446098/record/0-1/75270345771",
"embed_link":"https://app.hubspot.com/embed/8446098/0-1/75270345771"
}
},
"custom_link":null,
"workflow_id":null,
"sequence_id":null
},
"communication":{
"id":373640,
"company_id":7,
"campaign_id":2442,
"ring_group_id":null,
"owner_id":15765,
"workflow_id":null,
"broadcast_id":null,
"creator_type":1,
"incoming_number_id":26027,
"incoming_number":"+13613146691",
"contact_id":44772569,
"call_disposition_id":1083,
"lead_number":"+351912227447",
"target_users":null,
"attempt":null,
"attempting_users":null,
"user_id":15765,
"destination_number":"client:agent15765",
"transfer_prior_user_ids":null,
"transfer_target_user_ids":null,
"in_cold_transfer":false,
"direction":2,
"type":1,
"is_read":true,
"voicemail_duration":null,
"legc_uuid":null,
"legc_status":null,
"first_time_caller":0,
"body":"",
"attachments":null,
"current_status2":9,
"disposition_status2":4,
"resolution2":1,
"callback_status":null,
"transfer_type":null,
"rejected_by_app":0,
"duration":59,
"hold_time":0,
"talk_time":55,
"wait_time":6,
"csat_score":0,
"notes":null,
"country":"US",
"state":"GA",
"city":"Portugal",
"engagement_data":[
],
"created_at":"2025-01-14 15:52:56",
"has_recording":true,
"has_voicemail":false,
"is_introduce":false,
"added_user_id":null,
"last_call_source":null,
"has_transcription":false,
"transcription_is_deleted":false,
"recording_is_deleted":false,
"public_metadata":[
],
"call_transcription_status":3,
"call_summary":"### Call Summary\n\nThe agent provided information about Jalwar, a cloud-based phone system for sales and support teams. The customer, [PERSON_NAME] [PERSON_NAME], inquired about Jalwar and provided their phone number [PHONE_NUMBER].\n\n### Reason for the call\n\nThe customer contacted the agent to learn more about Jalwar.\n\n### Solutions offered by the agent\n\nThe agent explained that Jalwar is a **cloud-based phone system** designed for sales and support teams, offering:\n- Integration with CRMs like **HubSpot and Salesforce**\n- Calling and SMS capabilities\n- Automation tools including power dialing, AI driving, call routing, and booking messages\n\n### Pitches offered by the agent\n\nThe agent positioned Jalwar as best for teams requiring:\n- Omnichannel communication for calls and text\n- CRM integrations\n\n### Actions taken during the call\n\n- The agent asked for the customer's name and phone number\n- The customer provided their personal information\n- The agent explained Jalwar's features and benefits\n\n### Call outcomes\n\nThe customer indicated that the information provided was sufficient, stating \"No, no, that's good for me.\"\n\n### Agent action items after the call\n\nThe transcription does not mention any specific agent action items after the call.\n\n### Customer action items after the call\n\nThe transcription does not mention any specific customer action items after the call.",
"call_summary_status":3,
"is_eligible_for_transcribe":true
}
},
"event":"transcription.call.summarized"
}Need a hand?
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