How KriyaGo is aligning our AI-powered products with internationally recognized frameworks and why it matters for real estate technology.
At KriyaGo, we've spent the past 8 years building integration and automation solutions for the real estate industry. More recently, AI has become central to products like KriyaVision (document intelligence), KriyaAgent (conversational AI), and our lease abstraction services. As these capabilities grow more powerful, so does our responsibility to deploy them thoughtfully.
This post shares where we are on our AI governance journey, not as a finished destination, but as a direction we're committed to travelling.
Why AI Governance Matters in PropTech
Real estate technology handles sensitive data: lease terms that affect millions in revenue, financial transactions, tenant information, and legal documents. When AI processes this data, the stakes are high. A misread lease clause or incorrectly coded invoice isn't just an inconvenience; it can have real financial and legal consequences.
That's why we believe AI in our industry needs more than just impressive accuracy metrics. It needs guardrails, transparency, and human oversight built into its DNA.
The Frameworks Guiding Our Approach
Rather than inventing our own standards, we're aligning our practices with internationally recognized frameworks that represent the collective wisdom of policymakers, researchers, and industry leaders.
OECD AI Principles
The Organization for Economic Co-operation and Development established five principles for trustworthy AI that resonate deeply with how we think about our products:
- Inclusive growth and sustainable development– AI should benefit people broadly, not just optimize for efficiency
- Human-centered values– Respect for privacy, fairness, and human agency
- Transparency – People should understand when AI is being used and how it reaches conclusions
- Robustness and security– AI systems should be reliable and safe
- Accountability – Clear responsibility for AI outcomes
We're using these principles as a lens to evaluate our current practices and identify gaps.
NIST AI Risk Management Framework
The U.S. National Institute of Standards and Technology published a practical framework for managing AI risks. Its four functions Govern, Map, Measure, and Manage provide a structured approach we're adopting internally:
- Govern: Establishing clear ownership and policies for AI systems
- Map: Understanding the context and potential impacts of each AI application
- Measure: Tracking accuracy, fairness, and reliability metrics
- Manage: Acting on identified risks with appropriate controls
This isn't a checkbox exercise for us. It's becoming part of how we build and operate our products.
What This Looks Like in Practice
We're early in this journey, but here's what we're actively working on:
Human-in-the-Loop by Design
Our AI-powered products are built to augment human decision-making, not replace it. KriyaVision extracts data from leases and invoices, but critical fields are flagged for human review. We believe that combining AI speed and human judgment produces better outcomes than either alone.
Transparency About Confidence
When our systems aren't certain, we say so. Rather than presenting AI outputs as definitive, we're building confidence indicators that help users know when to trust the automation and when to look more closely.
Continuous Accuracy Monitoring
We track how our AI performs in production, not just in testing. This means measuring real-world accuracy, identifying error patterns, and using that data to improve our models responsibly.
Documentation and Accountability
We're developing internal documentation that maps each AI system to its purpose, its risks, and its controls. This creates clarity about who's responsible for what and gives us a foundation for continuous improvement.
The Road Ahead
We're not claiming to have all the answers. AI governance is an evolving field, and we expect our practices to mature alongside it. Regulations like the EU AI Act are still taking shape, and we're monitoring developments to ensure we're prepared.
What we can promise is this: we take the responsibility seriously. Every piece of AI we deploy into your workflow is something we're willing to stand behind and something we're committed to improving.
As we formalize our AI governance practices, we'll share more about specific policies, metrics, and commitments. For now, we wanted you to know that when you use KriyaGo's AI-powered products, there's thoughtful work happening behind the scenes to ensure they're worthy of your trust.
Have questions about our AI practices? We'd love to hear from you at [email protected]
About KriyaGo:
Since 2017, KriyaGo has been building the operating system for real estate connecting systems, automating workflows, and powering smarter decisions for property management, construction, and home building companies across three continents.
