Build the Framework. Mitigate the Risk.Lead the Change.

 

AI Transforms Every Aspect Of Multifamily Operations

From leasing chatbots to predictive maintenance, from resident screening to dynamic pricing—property management companies face a critical challenge: how to harness AI’s power while protecting residents, ensuring Fair Housing compliance, and maintaining trust across their portfolio?

This workshop translates enterprise AI governance frameworks into practical, actionable strategies specifically designed for the multifamily industry. Learn to build practical governance frameworks that protect residents, employees, owners, and your company, ensure Fair Housing compliance, and enable responsible AI innovation across your portfolio.

Build AI Fluency. Develop Real Skills. Create Working Tools. Lead the Future.

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6 Hour Intensive Workshop
Limited to 50 People
 One Day Registration Available: $545 or included in Full Registration
Why You Should Join Us Now

With HUD increasing scrutiny of AI in housing, state regulations emerging monthly, and residents demanding both innovation and protection, waiting to implement AI governance is no longer an option. This workshop provides you with the framework, tools, and confidence to lead responsible AI adoption across your portfolio—transforming compliance from a burden into a competitive advantage.

Transform your approach to AI from reactive risk management to proactive leadership. Build the governance foundation that enables your organization to say “yes” to AI opportunities while protecting what matters most: your residents, your reputation, and your business.

Your Investment: Six Hours. Your Return: Endless.

 

Date: Wednesday, January 28th

Time: 8:45 AM – 5:00 PM

Workshop Leader: Lauren Malik

 One Day Registration Available: $545

Confidence in:

  • ASSESSING – Evaluate AI risks across your portfolio
  • IMPLEMENTING – Deploy governance frameworks immediately
  • PROTECTING – Ensure Fair Housing compliance with AI tools
  • LEADING – Guide your organization’s responsible AI adoption
 

 

Multifamily NEXT — A woman with long brown hair and blue eyes, wearing a black top, smiles at the camera against a light textured wall background. Multifamily NEXT AI Conference & Education for Apartment Professionals
Lauren Malik Workshop Leader & Principal | Pariveda

Who Should Attend

Primary Attendees: Regional/District Property Managers, Leasing Directors and Senior Leasing Managers, VP/Directors of Operations, Marketing Directors, Revenue Management leaders, Chief Technology/Innovation Officers, Training & Development Managers

Key Decision Makers: C-Suite executives (CEO, COO, CTO), Asset Managers, Private equity/REIT executives, Regional Vice Presidents, Owners/Principals of mid-size firms (500–5,000 units)

Implementation Leaders: Operations Managers, IT Directors, Customer Experience/Resident Services Directors, Centralized Leasing Leaders, Business Intelligence/Analytics Managers

Growth-Focused Professionals: Property Managers ready to differentiate, Leasing Professionals aspiring to leadership, Marketing Coordinators scaling up, Innovation and Digital Transformation Teams, Vendor Management professionals

What Makes This Different

Unlike generic AI governance training, this workshop addresses the unique challenges of multifamily housing:

  • Fair Housing First: Every framework prioritizes Fair Housing Act compliance and HUD guidelines
  • Resident-Centric: Governance designed around resident privacy, safety, and experience
  • Portfolio Scale: Solutions that work across 10 properties or 10,000 units
  • Vendor Reality: Managing governance when most AI comes from third-party PropTech
  • Practical Implementation: Templates and tools you can deploy Monday morning

Key Learning Outcomes

1. Foundation Building

  • Establish responsible AI principles aligned with multifamily values and regulations
  • Create clear policies for AI use in leasing, maintenance, and operations
  • Build cross-functional governance teams without adding headcount

2. Risk Management Framework

  • Assess AI risks specific to multifamily (bias in screening, privacy in smart homes, etc.)
  • Implement tiered risk assessments based on resident impact
  • Create audit trails that satisfy regulators and insurance requirements

3. Vendor Governance

  • Evaluate PropTech vendors’ AI governance practices
  • Negotiate AI-specific contract terms and SLAs
  • Monitor third-party AI performance and compliance

4. Operational Integration

  • Embed governance into existing workflows without slowing innovation
  • Train property teams on AI policies and escalation procedures
  • Measure governance effectiveness through KPIs that matter

5. Future-Proofing

  • Prepare for emerging regulations (state AI laws, federal guidelines)
  • Build governance that scales with AI adoption
  • Create competitive advantage through responsible AI leadership
Your Transformation Timeline

8:00-8:45 AM: Foundation & Reality Check

  • See actual Fair Housing violations from AI screening tools
  • Understand your personal liability as a multifamily leader
  • Learn the 6 principles that protect your properties
  • Quick audit: Find your hidden AI risks (spoiler: you have them)

8:45-10:45 AM: Build Your Defense System

  • Create your 3-tier risk classification in real-time
  • Master the vendor evaluation framework
  • Write governance policies that teams actually follow
  • Get your “emergency response card” for AI incidents

10:45-11:00 AM: Quick Break (Coffee, questions, and quick wins shared)

11:00-11:45 AM: Make It Real

  • Govern your current AI tools (leasing bots, screening, pricing)
  • Fix your vendor contracts (the 5 clauses you’re missing)
  • Build your 30-day implementation calendar
  • Create your governance committee structure

11:45 AM-Noon: Lock It In

  • Your personal governance roadmap
  • Role-play: Handle an AI Fair Housing complaint
  • Get your certification of completion
  • Final confidence check – we stay until you’re ready

8:00-8:45 AM: Foundation & Reality Check

  • See actual Fair Housing violations from AI screening tools
  • Understand your personal liability as a multifamily leader
  • Learn the 6 principles that protect your properties
  • Quick audit: Find your hidden AI risks (spoiler: you have them)
  • 8:45-10:45 AM: Build Your Defense System
  • Create your 3-tier risk classification in real-time
  • Master the vendor evaluation framework
  • Write governance policies that teams actually follow
  • Get your “emergency response card” for AI incidents

10:45-11:00 AM: Quick Break (Coffee, questions, and quick wins shared)

11:00-11:45 AM: Make It Real

  • Govern your current AI tools (leasing bots, screening, pricing)
  • Fix your vendor contracts (the 5 clauses you’re missing)
  • Build your 30-day implementation calendar
  • Create your governance committee structure

11:45 AM-Noon: Lock It In

  • Your personal governance roadmap
  • Role-play: Handle an AI Fair Housing complaint
  • Get your certification of completion
  • Final confidence check – we stay until you’re ready

Lauren Malik is a Senior Principal at Pariveda Solutions with over 15 years of experience leading organizational transformation, change enablement, and AI governance initiatives. She helps enterprises turn responsible AI and compliance into catalysts for innovation—bridging human, data, and technology systems to deliver measurable business value.

Guided by her purpose to unite trust, courage, and compassion to empower people, Lauren brings a people-first lens to AI governance and transformation. She has developed AI governance frameworks, risk and value assessment tools, and adoption playbooks that help organizations operationalize ethical and effective AI at scale—building the trust, transparency, and accountability needed to innovate responsibly.

Investment & Format

Duration: Half-Day Workshop

Format: In-person workshop with hands-on exercises and group work

Materials: Comprehensive digital workbook, digital templates, and ongoing resource access

Duration: 4 Hours (8:00 AM – Noon)
Pre-Workshop Preparation

Participants should come prepared to discuss:

  • Current AI tools in use at their properties
  • Recent AI-related challenges or concerns
  • Specific use cases they’re considering

Leave with confidence to lead responsible AI adoption across your portfolio while protecting residents, reputation, and business value.

What You Take Home

Physical Toolkit:

  • Laminated AI Risk Quick Reference Card
  • Complete Governance Policy Template (fill-in-the-blank)
  • Vendor Audit Checklist (use it tomorrow)
  • 30-Day Implementation Planner

Digital Vault Access:

  • All templates in editable formats
  • Monthly regulation updates
  • Incident response scripts
  • Team training presentations
Multifamily NEXT — Audience members sit at tables facing a stage where panelists are speaking at a conference or seminar, with laptops and notebooks on the tables. Multifamily NEXT AI Conference & Education for Apartment Professionals

Workshop Prerequisites

No Technical Background Required

Plain-Language Learning

Complex concepts explained in business terms

  • Instead of: “Algorithmic bias in machine learning models”
    You’ll hear: “How screening tools might unfairly reject good residents”
  • Instead of: “API integration protocols”
    You’ll hear: “How your different software systems talk to each other”
  • Instead of: “Neural network training data”
    You’ll hear: “The information your AI uses to make decisions”
  • Real translations: Every technical term gets a multifamily equivalent you already understand
Visual Learning Tools

Flowcharts, diagrams, and visual guides

  • Risk Assessment Flowchart: Simple yes/no decision tree for evaluating any AI tool
  • Governance Structure Diagram: One-page visual showing who does what
  • Vendor Evaluation Scorecard: Color-coded checklist (red/yellow/green)
  • Timeline Roadmap: Visual 90-day implementation calendar
  • Process Maps: Before/after workflows showing governance integration
 
 

Success Hub Resources

Practical Examples

Real multifamily scenarios, not abstract theory

Every concept taught through actual situations you face daily.

  • Scenario 1: Your leasing chatbot denies a qualified applicant – what happens next?
  • Scenario 2: HUD investigates your AI screening tool – what documents do you need?
  • Scenario 3: A vendor’s AI has a data breach – what’s your response plan?
  • Scenario 4: Residents complain about privacy in smart units – how do you handle it?
  • Scenario 5: Your pricing AI suggests illegal rent increases – how do you catch this?
 
Supportive Environment

No question too basic, no judgment

  • Safe to ask: “What exactly is AI?” or “Why should I care about this?”
  • Anonymous Q&A cards: Write questions privately, addressed publicly
  • Buddy system: Pair with someone at your comfort level
  • Multiple explanations: Concepts explained 3 different ways
  • Progress checks: Regular pauses to ensure everyone’s following
 

Register Now​

Full refund if you don’t leave with working tools

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