See It in Action: A Sales Day with Snowflake CoWork

What if you could run your entire sales day, from planning and inspecting your pipeline to doing account research and generating custom customer decks, without ever opening more than a single tab? No switching between dashboards, no spending two hours prepping for a single client call, and no manual prospecting. Today, I'm showing you how to get a few hours back every single day using an end-to-end AI workflow that is built specifically for high-performing sales teams and customized for the needs of your company. If you have ever searched for how to use AI for B2B sales, automate prospecting with AI, or how to do better customer meeting prep, this video is probably for you. In this demo, we will be showing you real-world sales scenarios where Snowflake CoWork helps you go through your day as an account executive.

Here's what we are tackling across four quick acts. Act one will be about kicking off your day, inspecting your book, cleaning up your inbox, and prioritizing your actions. Act two, we will see how we can make prospecting as efficient and effective as possible. And of course, in Act Three, we will focus on the biggest part of your day: how you prepare for that upcoming important customer meeting. And finally, in Act Four, we will close your day where AI assistant helps you draft your follow-up emails, do your MEDDPICC updates, and set up your automations.

Just as a disclaimer, for this demo, we anonymize the company, contact, and location names, inspired by your favorite fruits and rock stars. So let's dive in.

Here's Act One: my morning routine. Every Monday, our sales teams receive their week ahead briefs in their inboxes. These briefs help them inspect their books and plan their week, focusing on the right priorities. So let's take a look. And here it is. It's already in my inbox. In this version, I can quickly review my attainment numbers, inspect my pipeline health, see an overview of my customer meetings for the week, and see where I am standing with respect to my open opportunities and upcoming renewals, and more. What I like the most about it: the brief summarizes the most important items that I need to focus on at the top before diving into the details below. This upcoming meeting with Kiwi Systems is the one that I have been looking for for a long time. I definitely want to spend some time preparing for that today. But before I do that, I like to start my day with a clean inbox.

Okay, so let's go back to CoWork, and then let's type a personal skill that I develop. It's called respond customer emails. What this skill does is that it reads the latest emails in my inbox, identifies which ones are coming from the customer, prioritizes them, it does the research for their questions, and finally drafts the responses in my inbox. So, looking at these results, I actually want to go after these P1 and P2s. So let's say yes. And the agent is done. Let me go back to my inbox. Here we go. You can already see them in the draft folder where those emails are generated.

Let's move on to Act Two: automated prospecting. I still want to prepare for that upcoming meeting, but before I get to that, there's one thing that caught my eye in my week ahead brief. My upcoming customer meeting pipeline was a little bit on the light side. I might want to do some quick prospecting to strengthen the pipeline. So I had my eye on Papaya Air for some time. I want to do a prospecting research first to better understand the company and what a potential Snowflake value proposition might look like. And here we go. Just in a few minutes, I have all the details I need. The company overview, its financials, the industry it operates in, who their competitors are, the recent news, and most importantly, a few ideas around the potential Snowflake value proposition for this prospect. In order to do that, the agent combines first-party data sources together with web search and third-party enrichment data that we purchase from various vendors.

Well, this is very helpful, but I still need to figure out who to reach out to, right? And here's a skill that we internally built in CoWork for our teams to do contact intelligence. So let's give it a try. Great. I already see a couple of recommended contacts who recently had marketing-related engagements with us. That's a great opener. Let me go after Elvis, who is the head of commercial strategy and systems. He recently attended one of our marketing events, which I can use in my email as the opening sentence. Now let me instruct the agent to draft the outreach email and save it in my inbox. And here we go. The agent is done. And if I switch my inbox, let's see if the email is there. And there you go. The story is saved in my draft folder.

That's the full prospecting workflow, from company research to contact intelligence and a personalized email in my draft folder, all from a cold company name. What used to take an hour, you know, googling things, stitching data together from various vendors, now it just happens in a few minutes with the help of our go-to-market agent, all from the same tab.

And Act Three. Now I can start preparing for that upcoming meeting that I was looking forward to. Let me first start with running a quick account summary, just to refresh my memory, and also to make sure that I haven't missed any of the recent changes. Here's the complete account status: company overview, consumption trends, contract status, open pipeline, recent company news, support history, and more. This is pulling data from our CRM, our internal sources, our support logs, and we also use web search to get external information in.

Let me also see if I can pull a quick summary of our latest engagements with the customer. And there's a latest engagement history across recent customer calls and emails. This one is interesting. Something I should definitely follow up with them. Their VP of AI Engineering and Data Science reach out to inquire about Snowflake on-demand training offerings. Let me first find the information about those. Let me ask the agent if it can do the research for me. And here we go. The agent quickly went through our knowledge base and summarized all the training offerings that would be relevant for this customer. Now I need to put that into a Snowflake-branded deck that I can present to them. So let me ask the agent to do that for me. And here you go. The presentation outline looks good, and if I open the document, you can see that everything is structured correctly, on brand, and in an engagement way. This presentation is ready for airtime. And just in a few minutes, I now have everything I need for that meeting.

And finally, Act Four: Closing the day. I had a couple of successful meetings with my customers today. I want to ensure that I send out relevant follow-up emails and update metadata fields in my CRM for these opportunities. And here we go. Snowflake CoWork created the follow-up emails and then saved them in my draft folder in my email tool. If I go back to CoWork, I can review the detailed MEDDPICC analysis for each of these opportunities and the recommended updates. My Salesforce MCP is already connected. If I want, I can go ahead and ask the agent to automatically update these in Salesforce as well.

There's one last thing I want to do before I call it a day. My call with Kiwi Systems went very well, and I'm very bullish about their product adoption and revenue growth in the coming weeks. I want to set up a dedicated weekly brief just to keep an eye on them, just to track their progress. So, in order to do that, let's go to the Automation tab in Snowflake CoWork and set it up from there. And that's it. Let me have AI stay on top of endless data for me while I can focus on going after other opportunities.

That's the full sales day. And Snowflake CoWork is helping me get valuable time back: planning my week, prospecting accounts, preparing for customer meetings, and closing my day with follow-up emails and CRM hygiene, all from one interface connected to every system I actually use. No context switching, no copy-paste, no admin work eating into my selling time. That's Snowflake CoWork.