Welcome to the second edition of Coworkings AI

AI is transforming how businesses operate, bringing automation, personalization, and efficiency to new levels.

In the coworking world, AI agents are quickly emerging as a game-changer: driving smarter operations, better member experiences, and stronger revenue performance.

Let’s dive in.

AI keeps redefining how we work, collaborate, and do business. One of the most exciting trends right now is the rise of AI agents, intelligent, autonomous systems built to perform complex, multi-step tasks.

They’re particularly relevant for industries like coworking that depend on efficiency, connectivity, and personalized engagement.

But what exactly is an AI agent, why is it getting so much attention, and how can it help coworking operators?

An AI agent is a software system designed to achieve a specific goal that typically involves several steps.

Unlike traditional AI tools that complete one task at a time, agents can think, decide, and act, combining reasoning with access to data and connected systems.

They usually rely on four main components:

A Large Language Model can generate and understand text, but it can’t independently perform multi-step tasks or take action in other systems.

An AI agent, however, builds on top of an LLM, connecting it to tools, data, and workflows, so it can act on your behalf. Think of it as moving from “talking about tasks” to “getting them done.”

The AI landscape is evolving fast. ChatGPT recently launched the Agentic Commerce Protocol, allowing users to buy products directly within ChatGPT.
It’s a glimpse into a future where AI agents don’t just answer questions, they take action.

The Agentic Commerce Protocol is changing the way consumers discover and interact with products. Instead of browsing multiple webs, users can now rely on an AI agent to find, compare, and purchase items efficiently.

At Nexudus, our approach to Artificial Intelligence has always been guided by a single, clear principle: AI should create real, measurable value for workspace operators and their members.

Over the years, we’ve seamlessly embedded AI into our platform to simplify operations, automate repetitive tasks, and enhance the overall user experience. Two examples of this are NAI, our AI assistant for operators, and the OpenAI integration, our AI-powered customer support agent.

NAI helps operators run their spaces more efficiently by handling three key types of interactions:

In short, NAI acts as a digital coworker, reliable, proactive, and always available to help manage workspaces. 

Our OpenAI integration brings automation to Members Portal.
When a member submits a query, the AI instantly searches your FAQ and knowledge base to deliver an accurate, contextual response within seconds.

Think of it as your virtual support agent, available 24/7, capable of learning from every interaction, and improving as your content evolves.

Together, NAI and the OpenAI integration showcase how we’re using AI to strengthen both sides of the coworking experience:

If you asked your sales team how much of their day is spent actually selling, the answer might surprise you.

According to Salesforce, a staggering 72% of a sales rep’s time goes to tasks that don’t directly generate revenue.

Here’s how the average sales day breaks down:

Non-selling activities:

Actual selling activities:

So, which of these tasks could AI help with?

The short answer: a lot of them.

AI can now automate lead research, qualification, personalized outreach, proposal generation, and even CRM updates, freeing up reps to focus on relationships and closing deals.

Two companies leading the charge in this space are 11x (AI agents for sales and revenue teams) and Relevance AI, a no-code agent builder that lets teams automate sales operations and other workflows.

Here’s a quick look at how AI can streamline the Inbound Sales Process using Relevance AI:

Step 1: Lead Entry
The lead requests a demo or registers through a web form. This action triggers the automated workflow of the Inbound Sales Agent.

Step 2: Lead Enrichment with external data sources
The system activates the Lead Enrichment Agent, which collects additional information about the lead and their company from external data sources (LinkedIn, Google, company website, etc.). This enriched information is used for subsequent qualification and personalization.

Step 3: Lead Qualification
After enriching the profile, the Lead Qualification Agent evaluates the lead’s potential by defining the ICP and assigning a score that determines its priority.

Step 4: Personalized Value Proposition
After qualification, the agent generates a personalized value proposition. Using the enriched information from previous steps, the agent creates a proposal that resonates with the lead’s needs and context, as well as their company.

Step 5: Personalized email sequence using previous data
The Email Copywriter Expert Agent creates a sequence of 3 personalized emails highlighting the solution’s value in addressing the main business challenges. Each email is tailored to the lead’s profile, leveraging enrichment and qualification data to maximize relevance.

Step 6: Automated follow-up and CRM update
After the interaction, the system automatically follows up, triggering updates in the CRM to reflect the lead’s status and the actions taken.

What each of these three agents delivers to the sales team:

Would you like to try these Inbound Sales Agent? Let us know!

AI is no longer a futuristic concept, it’s here, transforming how coworking operators and sales teams work every day.

Beyond coworking, AI is revolutionizing sales operations. From lead enrichment to personalized email outreach, AI agents handle the busywork so teams can focus on what matters most: building relationships and closing deals.

AI isn’t replacing people, it’s amplifying what we can do. And for coworking and flex operators, this is just the beginning.