The moment it happens
Log call summaries in HubSpot with a follow-up task
After a call, the contact gets a short summary as a note and a follow-up task is waiting for you.
- Runs
- The moment it happens
- Apps
- HubSpot
- AI
- Yes, uses the built-in AI allowance
- Access
- crm.objects.contacts.read, crm.objects.contacts.write
Send this to your assistant
Create a ClickRuntime automation: give me a link I can send call transcripts to. Summarise each call, save the summary as a note on the HubSpot contact with that email, and create a follow-up task due in 2 days.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
Sales reps finish a forty-minute discovery call or a long email thread with a prospect and then face the worst part of the job: writing it up in HubSpot. Most skip it or leave a one-line note. A month later the account executive who inherits the deal has no record of the budget concern, the competitor mentioned, or the promise to send pricing by Friday, and the contact record reads as if nothing happened.
When a call or email is logged, the matching contact is found by email address, and the built-in AI writes a short summary, a sentiment reading and a recommended next step. A note carrying that summary and a follow-up task are created and associated with the contact, so the next action is in the rep's task queue.
It helps most on teams where deals are handed between reps, or where managers review pipeline without listening to calls.
What you get out of it
Every conversation leaves a usable record
A summary on the contact means nobody has to guess what was agreed. Whoever opens the record next, a teammate, a manager or the same rep three weeks later, sees the context in seconds.
Follow-ups stop being forgotten
A task is created with the next step already written, so the promise to send pricing by Friday becomes a visible item in the rep's queue instead of a thought that fades by the time the next call begins.
Reps spend time selling, not typing
Writing a good call summary takes ten minutes that most reps skip. The draft arrives within moments, and the rep only needs to correct it, which makes complete records realistic.
Managers see pipeline reality
Sentiment and next step notes let a sales manager scan accounts and spot at-risk deals without sitting in on calls, which makes coaching and forecasting more grounded. That is a reliable way to keep a long-running relationship consistent across several people.
Handovers lose less information
When an account moves to a new owner, the history is already attached to the contact. Customers are spared repeating themselves, which they notice and appreciate. That kind of continuity is what separates a smooth account transition from one where a customer feels forgotten.
How it works
What happens, step by step
When you send a call transcript or email to ClickRuntime, the automation finds the matching contact in HubSpot by email.
AI reads the conversation and writes a short summary, the overall sentiment and the next step.
The summary is saved as a note on the contact.
A follow-up task for the next step, such as "send security docs", is created on the contact with a due date.
Before it runs live
- Connect HubSpot
- Paste your automation's link into the other app's webhook settings
What you get
Build your own
Need it to work differently?
Your own rules
Conditions, thresholds, filters and exceptions, written the way you'd explain them to a colleague.
Any number of apps
One automation can read from one app and update several others. Over 248 apps are ready, and anything with an API works too.
AI where it helps
Summaries, classification, extraction and drafts use ClickRuntime's built-in AI, with no extra key.
On a schedule or on each event
Runs as often as every 5 minutes, or the moment an app sends an event, and keeps track of what it already handled.
Changes you can ask for
- Act only on the items that match your own rules, and skip the rest
- Change what the AI looks for, or how it writes the result
- Add another app, for example also send it to Slack
- Combine it with other HubSpot steps into one automation
Under the hood
The code that runs this automation
from datetime import datetime, timedelta, timezone
from clickruntime import on_event, credentials, http, ai
API = "https://api.hubapi.com/crm/v3/objects"
def link(contact_id, type_id):
return [{"to": {"id": contact_id}, "types": [{"associationCategory": "HUBSPOT_DEFINED", "associationTypeId": type_id}]}]
@on_event
def handle(event):
call = event.json or {}
headers = {"Authorization": f"Bearer {credentials.connection('hubspot', 'work')}"}
found = http.post(f"{API}/contacts/search", headers=headers, json={"filterGroups": [{"filters": [
{"propertyName": "email", "operator": "EQ", "value": call["email"]}]}]}).json()["results"]
if not found:
return {"logged": False, "reason": "no contact"}
cid, now = found[0]["id"], datetime.now(timezone.utc)
summary = ai.generate(call["transcript"][:12000], max_output_tokens=300,
system="Summarise this sales call in 4 bullets, then a line 'Sentiment:' and a line 'Next step:'.").text
http.post(f"{API}/notes", headers=headers, json={"properties": {
"hs_note_body": summary, "hs_timestamp": now.isoformat()}, "associations": link(cid, 202)}).raise_for_status()
http.post(f"{API}/tasks", headers=headers, json={"properties": {
"hs_task_subject": f"Follow up with {call['email']}", "hs_task_body": summary,
"hs_timestamp": (now + timedelta(days=2)).isoformat(), "hs_task_status": "NOT_STARTED"},
"associations": link(cid, 204)}).raise_for_status()
return {"logged": True, "contact": cid}FAQ
Common questions
Does it need an OpenAI or Anthropic key?
What if the email address does not match a contact?
Is the summary always right?
What permissions does it need?
Does it need AI?
How many runs does it use?
Can I change how it works?
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