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Overview

AI Agents is currently in beta. OpenAI is the current subprocessor for AI models. Access is free of charge during the Beta phase, but pricing may change in the future.
Nexudus includes two distinct AI-powered features that work together to improve both your members’ experience and your operational efficiency:
  • Conversational AI — A customer-facing AI assistant available in the Members Portal that answers questions about plans, bookings, events, and your space.
  • Proactive AI Agents — An operator-facing intelligence layer in the Dashboard that monitors patterns in your space and automatically proposes actions for your review.
This section covers the Proactive AI Agents feature — the system that watches your bookings, invoices, contracts, support tickets, and member engagement, then suggests when and how to reach out.
AI Inbox showing proposed actions

What Proactive AI Agents Do

Proactive AI Agents are automated monitoring rules that watch for specific situations in your coworking space — like an overdue invoice, a contract approaching expiry, or a member who hasn’t checked in for two weeks — and then propose the right action at the right time. Each agent works through the same four-step cycle:
  1. Monitor — The agent continuously watches for patterns defined in its criteria (e.g., invoices past due date, contracts within 30 days of expiry).
  2. Evaluate — When a pattern is detected, the agent calculates a confidence score based on how strongly the situation matches the criteria.
  3. Propose — A proposed action appears in your AI Inbox with a suggested message or note. You review it and decide whether to approve, edit, or reject.
  4. Execute — Once approved, the action is sent through the configured channel (email, voice call, or internal note). If auto-execute is enabled, high-confidence actions are sent automatically. When the action is an email or voice message, the customer can reply or respond — starting a two-way conversation that appears in AI Conversations.

Proactive Agents

How proactive agents work and access the configuration interface.

Agent Types

Detailed reference for all available agents and their settings.

Configure Agents

Step-by-step guide to enabling and customizing agents.

AI Inbox

Review and approve proposed actions before sending.

Agent Categories

Agents are organized into categories that reflect the area of your business they monitor:
CategoryWhat It WatchesExample Agent
BillingInvoices, contracts, paymentsDue Invoice Reminders, Contract Renewal
SalesLeads, tours, inquiriesLead Follow-up, Tour Reminders
EngagementMember activity and onboardingOnboarding Nudges, Booking No-Show
RetentionDeclining usage and churn signalsAt-Risk Member Detection, Cancellation Risk
SupportHelp desk tickets and patternsSupport Pattern Detection
RevenueUpsell and upgrade opportunitiesUpsell Opportunities
KnowledgeFAQ gaps and content suggestionsFAQ Gap Detection
Some agents are available now; others are marked as coming soon. The full list is on the Proactive Agents page.

How It All Connects

The proactive agents system sits alongside the conversational AI assistant, and the two are connected bidirectionally:
  • Conversational AI handles real-time customer questions in the Members Portal.
  • Proactive Agents use the same conversation data (along with booking, invoice, and contract data) to detect patterns like unanswered questions or dormant leads.
  • When a proactive agent identifies an opportunity, it proposes an action through the AI Inbox for your review.
  • Once an email or voice action is sent, the customer can reply — starting a two-way conversation that appears in AI Conversations.
  • Replies from customers are handled by the same conversational AI, and the conversation stays linked to the original proposed action so you can see the full context.
Email and Voice channels require prior configuration. Proactive agents can send actions via Email or Voice only if those channels are already set up in your space:
  • Email — requires the email channel to be enabled and email forwarding configured.
  • Voice — requires the voice channel to be enabled with ElevenLabs and Twilio credentials configured.
If a channel is not configured, actions will only be delivered as Internal notes within the Dashboard. Chat is the only channel that works immediately — no additional setup required.
For more on the conversational AI, see the Members Portal AI documentation.

Key Concepts

TermMeaning
AgentA monitoring rule that watches for specific patterns in your space data. Each agent focuses on one type of situation (e.g., overdue invoices).
CriteriaThe conditions that trigger an agent. For example, “invoice is 7+ days overdue” is the criteria for the Due Invoice Reminders agent.
Confidence ScoreA percentage (0–100%) that represents how strongly the detected situation matches the agent’s criteria. Higher scores mean the AI is more certain the action is appropriate.
Proposed ActionAn item in your AI Inbox created by an agent. It includes a suggested message, the customer it targets, and the channel to use.
Auto-ExecuteWhen enabled, actions meeting the minimum confidence threshold are sent automatically without manual review.
CooldownA time period (in hours) that prevents the same agent from acting on the same customer repeatedly. For example, a 48-hour cooldown means the agent won’t propose another action for that customer within 48 hours.
ChannelThe communication method used to deliver the action — Email, Voice, or Internal note.
Max Actions Per DayThe upper limit on how many actions an agent can propose across all customers in a single day.
AI ConversationsTwo-way conversations that start when a customer replies to an email or voice action from a proactive agent. View AI Conversations.
AI InboxThe central place to review, approve, edit, or reject proposed actions before they’re sent. View AI Inbox.

Proactive Agents

Learn about all available agents and how to access the configuration page.

AI Inbox

Understand how to review, approve, and manage proposed actions.

Configure Agents

Step-by-step guide to enabling agents and customizing their behavior.