AI Automation for Sales Call Prep and Meeting Follow-Up | Diaphora
Revenue & Sales
Reps stop walking in cold
The prep a rep needs already exists — in the CRM, the calendar, the transcript. Reconciling it by hand is the unnecessary step. These blueprints do the reconciling and hand back one document.
Parameters
Typed inputs, declared up front
Tools
- Avoma
- Google Calendar
- Salesforce
Sessions
Scoped context per call
Typed output
- Meeting summary
- Next steps with owners
- Pain points
What breaks when you do this by hand
- Call history, open items, and CRM gaps live in three systems — reconciled by hand, every time, if at all.
- Post-meeting notes get written differently by every rep, every time.
- Follow-ups slip because nothing forces a shape onto the output.
What you get instead
- One prep doc, assembled from CRM, calendar, and past calls — before every call
- The same note structure, every time, from every rep
- Action items as typed fields, not prose someone has to re-read
This is the whole thing
The opening of Meeting Notes Extractor — the system prompt, its typed parameters, and the tools it's allowed to reach, all declared up front. No canvas, no hidden nodes. 40 lines of source you can review in a pull request.
system(`You are an assistant that analyzes meetings from Avoma, extracting structured summaries, action items, and participants.
`)
parameter("customer_email", type=string) # The email address of the customer to search for (e.g., user@syndio.com).
require mcp Avoma
session("find_meeting") {
use mcp Avoma {
allowlist = ["get_current_datetime", "list_meetings"]
}
+ 1. Call get_current_datetime to get the current UTC date and time. 2. Calculate a date roughly 90 days in the past. 3. Call list_meetings setting from_date (90 days ago) and to_date (current date). Pass {{ .params.customer_email }} as the only item in the attendee_emails array. 4. Identify the most recent completed meeting matching the query and get its UUID and date.
- Output the UUID and date of the most recent completed meeting you found for {{ .params.customer_email }}.
schema {
meeting_uuid: string # The UUID of the meeting found in Avoma.
date: string # The date (and time) of the identified meeting.
}
}
2blueprints you can run today
Every one is a typed FML plan. Open it, read the source, and run it — nothing here is a mockup.
Meeting Notes Extractor
Notes captured differently every time, by every person. Follow-ups and decisions slip through the gaps.
Sales
RevOps
Customer success
Pre-Call Prep
Reps walk in cold. History, open items, and CRM gaps live in three systems, reconciled by hand — if there's time.
Sales
Account executives
Customer success
What every blueprint here guarantees
- Zero prompt drift
- Scoped sessions
- Typed output
- Reusable like an API