Zoom meeting automation ai

The call went great, and then the proposal sat in your drafts for four days.

The moment a prospect says yes is the moment they start cooling off. We wire your Zoom calls so a tailored proposal, built from what was actually said, lands in their inbox before they close the tab.

Transcript-based

drafted from the actual call, not a guess

Native GHL

sent and tracked inside GoHighLevel

Auto or review

you choose the send mode

Works with
GoHighLevel
Make

The Problem

Why warm calls quietly go cold

01

You finish a strong discovery call, then push the follow-up to tomorrow because three more calls are waiting today.

02

By the time you sit down to write the proposal, you are reconstructing what they said from half a page of scribbled notes.

03

The prospect who was ready on the call has already heard back from two competitors who followed up the same hour.

Hot prospect goes quietfollow-up window closes
Manual proposal writing30 to 60 min per call
Details lost from memorygeneric, off-target quotes

Proposal quality against a name-swapped template

Generic template blastignores what was said
Rushed manual draftmisses half the notes
Transcript-tailored draftmatches the real call
Revenue at riskEvery hour of delay leaks signed revenue out of a deal you already won on the call
We solve it forTurning meeting momentum into a sent proposal while the prospect is still leaning in

TryAgentik post-meeting automation pipeline

What You've Already Tried

What most teams do after the call ends

Option 1

A virtual assistant retypes the notes and drafts a proposal by hand, hours later.

Option 2

A generic template goes out with the prospect name swapped in and nothing else changed.

Option 3

The rep means to follow up, gets pulled into the next call, and the thread dies.

Time from call end to proposal in inbox

Manual write-up next dayoften 1 to 3 days
VA turnarounda few hours, if free
Template blastfast but off-target
Automated pipelineminutes after hangup
Market Signal

Speed of follow-up is the strongest signal a buyer feels

First

specific reply usually wins the frame

When two vendors are close on fit, the one whose proposal arrives while the conversation is still fresh reads as more serious and more capable. Buyers rarely wait for the slower reply; they move with whoever shows up first with something specific to what they said.

Sales response-time research, widely replicated across B2B studies ยท 2026

What We Build

What we actually build for you

What we actually build for you
01

Capture layer

A Zoom webhook fires the instant the meeting recording finalizes. We pull the transcript automatically, so the pipeline starts with zero manual steps from your rep. No forwarding, no copy-paste, no waiting on a nightly export.

02

Reasoning layer

The transcript is read by Claude Opus 4.8, with GPT Codex handling the structured extraction and formatting logic. It separates what the prospect needs from small talk, and drafts a proposal scoped to what was genuinely agreed, so the quote matches the conversation instead of a template.

03

Delivery layer

The finished proposal is routed into GoHighLevel and emailed to the contact from your domain. The contact record is tagged, the opportunity stage moves, and your team sees a clean trail. You can set it to auto-send or to pause for a one-click human review first.

Results

Why this holds up in real pipelines

Transcript-based

drafted from the actual call, not a guess

The proposal quotes the prospect's own words, so it reads as written for them and not pulled from a folder.

Native GHL

sent and tracked inside GoHighLevel

It runs inside GoHighLevel, the CRM your agency and clients already live in, so nothing new to log into.

Auto or review

you choose the send mode

You stay in control: run it fully automatic, or gate every send behind a fast human approval.

FAQ

Questions we get asked.

Minutes

from call end to a proposal in the inbox

Stop losing revenue to
an unanswered phone.

Book a short call. We will map your Zoom and GoHighLevel setup and show you the pipeline running on a real transcript.

Or email aditya@tryagentikai.com