# Automate meeting intelligence with VEXA and OpenAI: n8n workflow

> Started by another system calling it, and works across Baserow and Redis. It hands the judgement calls to OpenAI.

Source: https://millionrounds.com/workflow/automate-meeting-intelligence-with-vexa-and-openai (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Scheduling](https://millionrounds.com/workflows?category=Scheduling#library)

# Automate meeting intelligence with VEXA and OpenAI

Started by another system calling it, and works across Baserow and Redis. It hands the judgement calls to OpenAI. 22 steps, 1 branch: large, and worth reading before you trust it with anything live.

Large Calls a model: OpenAI

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fautomate-meeting-intelligence-with-vexa-and-openai)

**22 steps** Large: read it before trusting it with anything live

**1** Branch: places the flow splits

**0** Loops or waits

**2** Services it connects to

## The flow

Starts it 3 Model 2 Logic 8 Service 9

The steps in the order they run, from what starts it.

- 1 **vexa-start** Webhook *Starts it*
- 2 **Webhook: Transcript Ready** Webhook *Starts it*
- 3 **OpenAI Chat Model** Lm Chat Open Ai *Model*
- 4 **Register your webhook** Manual trigger *Starts it*
- 5 **Route: Bot Action (Start/Stop)** Switch *Logic*
- 6 **VEXA: Get Transcript** Http Request *Service*
- 7 **Redis: Get User ID** Redis *Service*
- 8 **AI: Analyze Transcript** Information Extractor *Model*
- 9 **SET your webhook** Http Request *Service*
- 10 **HTTP: Start VEXA Bot** Http Request *Service*
- 11 **HTTP: Stop VEXA Bot** Http Request *Service*
- 12 **No Operation, do nothing** No Op *Logic*
- 13 **Process: Split Transcript Segments** Split Out *Logic*
- 14 **Stop and Error** Stop And Error *Logic*
- 15 **Merge** Merge *Logic*
- 16 **Clean up for mem0** Code *Logic*
- 17 **Baserow: Update Status to 'In Progress'** Baserow *Service*
- 18 **Baserow: Update Status to 'Stopped'** Baserow *Service*
- 19 **Prepare: Select Transcript Data** Set *Logic*
- 20 **Prepare: Aggregate for Analysis** Aggregate *Logic*
- 21 **Mem0: Add Transcript Memory** Http Request *Service*
- 22 **Baserow: set rowID** Redis *Service*

## How it's built

- **Starts on:** Another system calling it
- **Steps:** 22, with 1 branch
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** Baserow, Redis
- **Model:** OpenAI

## Questions

What does it need to run?

An n8n account, plus your own Baserow and Redis accounts, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on another system calling it.

Does it use AI?

Yes. It calls OpenAI. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Take your time. At 22 steps it is large: read it before trusting it with anything live.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 22 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fautomate-meeting-intelligence-with-vexa-and-openai)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Connects to

Each opens the other workflows that use it.

[Baserow](https://millionrounds.com/workflows?service=Baserow#library)[Redis](https://millionrounds.com/workflows?service=Redis#library)

## Workflows like it

Also scheduling, with the same services where possible, closest in size first.

- [**Handle healthcare appointments on WhatsApp with Gemini** 24 steps · calls a model · Google Calendar, Google Sheets](https://millionrounds.com/workflow/handle-healthcare-appointments-on-whatsapp-with-gemini)
- [**AI chatbot call center: Taxi booking worker** 25 steps · Google Calendar, Postgres](https://millionrounds.com/workflow/ai-chatbot-call-center-taxi-booking-worker)
- [**AI secretary for scheduling with WhatsApp and Telegram** 31 steps · calls a model · Google Calendar, Redis](https://millionrounds.com/workflow/ai-secretary-for-scheduling-with-whatsapp-and-telegram)
- [**Generate filtered calendar views in Baserow** 10 steps · Baserow](https://millionrounds.com/workflow/generate-filtered-calendar-views-in-baserow)
- [**Automated task generation from blueprints with Baserow** 9 steps · Baserow](https://millionrounds.com/workflow/automated-task-generation-from-blueprints-with-baserow)
- [**Multi-agent salon appointment management with Telegram** 52 steps · calls a model · Google Calendar, Redis](https://millionrounds.com/workflow/multi-agent-salon-appointment-management-with-telegram)