On a schedule
Get a morning summary of your open deals
Each weekday you get a short read on every open deal by stage, with its latest notes.
- Runs
- On a schedule
- Apps
- Pipedrive
- AI
- Yes, uses the built-in AI allowance
- Access
- read
Send this to your assistant
Create a ClickRuntime automation: every weekday at 8am, summarise my open Pipedrive deals by stage with a line on each deal's latest notes, and email it to me.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
Before a pipeline review, a sales manager opens deal after deal in Pipedrive, scrolling through notes to remember what happened. A deal worth $40,000 might have a Tuesday call note, a quote sent last week, and a worrying comment about budget buried three notes down. Multiply that by thirty open deals and the review becomes a reading exercise, with the least recent updates getting the least attention.
Each morning, open deals and their stages are listed, and recent notes are fetched for each one. ClickRuntime's built-in AI condenses them into a short paragraph per deal covering where it stands and what happened last, and the whole set arrives as one email. You read the summaries over coffee instead of clicking through records.
Managers, founders and sales leaders who want a quick pipeline picture benefit most, particularly when reps keep detailed notes.
What you get out of it
A pipeline review you can do in minutes
One email replaces thirty tabs. You see each deal's stage, value and latest developments in a paragraph, so you can decide which ones need a conversation today. Preparation that once took an hour fits into a cup of coffee.
Buried warnings come to the surface
A note about a budget freeze or a champion leaving is easy to miss in a long thread. Summaries put the latest concern next to the deal name where a manager will actually read it.
Better coaching conversations
Managers who have read the summary can ask a specific question about a deal rather than a general how is it going. That makes one-to-ones shorter and far more useful for the rep.
Notes written once get used again
Reps often write notes that nobody reads. A daily digest turns that effort into something visible, which encourages good record keeping and keeps context from walking out the door with a person.
Handovers are painless
When a deal changes owner or someone is on vacation, a recent summary gives the covering person the story. They can pick up the conversation without calling the original rep.
How it works
What happens, step by step
Every weekday at 8 am, the automation lists your open Pipedrive deals and their stages.
It reads the latest notes on each deal.
AI writes a short update for every deal, grouped by stage, such as "waiting on their legal review, follow-up Thursday".
The summary is emailed to you with the number of open deals.
Before it runs live
- Connect Pipedrive
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
- Run it at a different time, more or less often, or only on weekdays
- 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 Pipedrive steps into one automation
Under the hood
The code that runs this automation
from clickruntime import on_trigger, credentials, http, ai, notify
API = "https://api.pipedrive.com"
@on_trigger
def run(event):
headers = {"Authorization": f"Bearer {credentials.connection('pipedrive', 'work')}"}
stages = {s["id"]: s["name"] for s in http.get(f"{API}/api/v2/stages", headers=headers).json()["data"]}
deals = http.get(f"{API}/api/v2/deals", headers=headers, params={"status": "open", "limit": 100}).json()["data"]
lines = []
for d in deals:
notes = http.get(f"{API}/v1/notes", headers=headers,
params={"deal_id": d["id"], "limit": 1, "sort": "add_time DESC"}).json()["data"] or []
latest = notes[0]["content"][:300] if notes else "no notes"
lines.append(f"{stages.get(d['stage_id'])} | {d['title']} | {d['value']} {d['currency']} | {latest}")
summary = ai.generate("\n".join(lines)[:12000], max_output_tokens=800,
system="Summarise these open deals grouped by stage, one short line per deal based on its latest note.").text
notify.email_me(f"Open deals: {len(deals)}", summary)
return {"deals": len(deals)}FAQ
Common questions
How are the summaries written?
Does it cover deals owned by everyone or just me?
Are my notes sent to an outside AI provider?
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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