---
title: "AI in Action: How MHA Uses AI to Navigate Housing Law"
description: How AGRiP uses Betty AI (Poppi) to surface industry knowledge, connect members, and turn collective insight into action—faster and at scale.
image: https://meetbetty.ai/hubfs/AI%20in%20Action%2c%20Conversations%20with%20Bettys%20around%20the%20world!-1.png
---

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# AI in Action: How MHA Uses AI to Navigate Housing Law

Betty · Dec 23, 2025, 4:21:05 PM · 2 min read

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*Conversations with Betty — featuring **Aubrey Albrecht,** Vice President of Education and Chief Innovation Officer (CINO) at MHA.*

Housing professionals don’t work with simple rulebooks.

They navigate federal fair housing laws, evolving state statutes, and city-by-city ordinances that change constantly. For members of the Minnesota Housing Association (MHA), missing one detail can mean lawsuits, fines, or months of lost rent.

So MHA didn’t build a chatbot.

They built **Mihra** — a purpose-built AI assistant trained exclusively on Minnesota housing law, MHA publications, and local ordinances to deliver fast, accurate, and defensible guidance to members.

 

Aubrey Albrecht & Anna Eaton talk about MHA's Betty, Mihra!

41:28

 

---

 

## **Why MHA Built Mihra**

MHA represents more than 2,100 housing organizations across Minnesota. Their members manage properties in dozens of cities, each with its own rules layered on top of state and federal law.

That means teams must remember:

- When and how to return security deposits
- How long to store abandoned belongings
- What notice periods apply — and where
- Which local ordinances override state statutes

These aren’t theoretical details. They’re legal obligations. Mihra was built to make this complexity manageable — and to reduce compliance risk across the entire membership.

---

## **What Makes Mihra Different**

Unlike public AI tools, Mihra only answers from **curated, authoritative sources**, including:

- Minnesota landlord-tenant law (504B)
- City-level housing codes
- Federal fair housing regulations
- MHA publications and policy guidance

She also avoids anything that is only *proposed* law, ensuring members don’t act on draft legislation or incomplete ordinances.

Mihra doesn’t guess. She answers with sources — and links directly to statutes members can verify themselves.

---

## **Real Usage, Real Results**

In Mihra's first six months:

- **330 members used Mihra**
- **1,150+ conversations took place**
- Conversations averaged nearly **3 messages each**, showing deep, multi-step interactions

MHA then launched a limited public version — giving non-members two questions per week as a preview:

- **67 public users**
- **129 conversations**
- Nearly **2 messages per conversation**, showing people actively use their full allotment

This validated Mihra as both a powerful member tool and a natural funnel into membership.

---

 

## **Helping Staff Move Faster Too**

Mihra isn’t just for members. MHA’s 14-person staff team uses her to:

- Draft certification and compliance emails
- Answer complex affordable-housing questions
- Reduce repetitive inquiries
- Save hours — especially during high-volume periods

She’s become a daily productivity layer across the organization.

---

## **What’s Next**

MHA’s long-term vision is to integrate Mihra directly into property management platforms — allowing other AI tools to consult her automatically to ensure Minnesota-specific compliance. This creates a future where specialized AI systems work together to deliver faster, safer, more accurate decisions.

Mihra shows what happens when associations take ownership of their knowledge and turn it into purpose-built AI:

- Less risk
- Faster answers
- More confident members
- Stronger industry leadership

For Minnesota housing professionals, Mihra isn’t just helpful — she’s becoming essential.

---

 

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