AI doesn't have to be a black box.
AI doesn't
have to be a black box.
AI doesn't have to be a black box.
AI systems need AI assurance.
AI systems need AI assurance.
AI systems need AI assurance.
We make sure your AI and Machine Learning Systems are understandable, ethical, auditable, and accountable. So your teams, your customers, and your board can be assured of the safety, compliance, and impact of your AI transformation.
We make sure your AI and Machine Learning Systems are understandable, ethical, auditable, and accountable. So your teams, your customers, and your board can be assured of the safety, compliance, and impact of your AI transformation.
We make sure your AI and Machine Learning Systems are understandable, ethical, auditable, and accountable. So your teams, your customers, and your board can be assured of the safety, compliance, and impact of your AI transformation.
In a world of rising complexity and data overload, AI, when done right, becomes a trusted partner, and not a risk.
In a world of rising complexity and data overload, AI, when done right, becomes a trusted partner, and not a risk.
In a world of rising complexity and data overload, AI, when done right, becomes a trusted partner, and not a risk.
We believe in using AI to enhance the power of experts, not replace them. AI is at its best when it is helping Healthcare and AEC (Architecture, Engineering, and Construction) professionals amplify their expertise.
We believe in using AI to enhance the power of experts, not replace them. AI is at its best when it is helping Healthcare and AEC (Architecture, Engineering, and Construction) professionals amplify their expertise.
We believe in using AI to enhance the power of experts, not replace them. AI is at its best when it is helping Healthcare and AEC (Architecture, Engineering, and Construction) professionals amplify their expertise.
The time to amplify your organization's output with AI is now.
The time to amplify your organization's output with AI is now.
The time to amplify your organization's output with AI is now.
In 2024, the rapid proliferation of Artificial Intelligence and Machine Learning within the healthcare and AEC sectors revealed a clear opportunity to help guide organizations through their AI transformation with integrity and precision.
We recognized that many automated approaches were unreliable and lacked defensibility, forcing organizations to choose between automation and the reliability of their deliverables.
The organizations that overcome this challenge today will be tomorrow’s category leaders. That’s why we exist.
In 2024, the rapid proliferation of Artificial Intelligence and Machine Learning within the healthcare and AEC sectors revealed a clear opportunity to help guide organizations through their AI transformation with integrity and precision.
We recognized that many automated approaches were unreliable and lacked defensibility, forcing organizations to choose between automation and the reliability of their deliverables.
The organizations that overcome this challenge today will be tomorrow’s category leaders. That’s why we exist.
In 2024, the rapid proliferation of Artificial Intelligence and Machine Learning within the healthcare and AEC sectors revealed a clear opportunity to help guide organizations through their AI transformation with integrity and precision.
We recognized that many automated approaches were unreliable and lacked defensibility, forcing organizations to choose between automation and the reliability of their deliverables.
The organizations that overcome this challenge today will be tomorrow’s category leaders. That’s why we exist.
You don't have to choose between automation and quality. With AI Assurance, you get both.
You don't have to choose between automation and quality. With AI Assurance, you get both.
You don't have to choose between automation and quality. With AI Assurance, you get both.
With decades of experience in executive leadership, digital strategy, product development, automation, and compliance; AI Assurance is uniquely positioned to help organizations embrace the future of AI with confidence.
Our mission is to ensure that AI augments human expertise, driving innovation while maintaining the highest standards of quality and accountability.
With decades of experience in executive leadership, digital strategy, product development, automation, and compliance; AI Assurance is uniquely positioned to help organizations embrace the future of AI with confidence.
Our mission is to ensure that AI augments human expertise, driving innovation while maintaining the highest standards of quality and accountability.
With decades of combined experience in executive leadership, digital strategy, product development, automation, and compliance; AI Assurance is uniquely positioned to help organizations embrace the future of AI with confidence.
Our mission is to ensure that AI augments human expertise, driving innovation while maintaining the highest standards of quality and accountability.
AI systems need AI Assurance.
AI systems need AI Assurance.
AI systems need AI assurance.
AI systems need AI assurance.
Customers & Partners
Customers & Partners
Customers & Partners
Press releases & Articles
Articles & Press
Articles & Press
FAQs
FAQs
General Questions
General Questions
General Questions
What exactly does AI Assurance do?
AI Assurance Group helps organizations across Healthcare, Science, Engineering, and Design (AEC) make sure their Artificial Intelligence (AI) solutions are trustworthy, effective, and responsible.
We offer a comprehensive suite of services including Consulting, AI Strategy, Compliance, and Quality Assurance to guide you through every stage of your AI journey. We ensure your AI works for you, safely and ethically.
What exactly does AI Assurance do?
AI Assurance Group helps organizations across Healthcare, Science, Engineering, and Design (AEC) make sure their Artificial Intelligence (AI) solutions are trustworthy, effective, and responsible.
We offer a comprehensive suite of services including Consulting, AI Strategy, Compliance, and Quality Assurance to guide you through every stage of your AI journey. We ensure your AI works for you, safely and ethically.
What exactly does AI Assurance do?
AI Assurance Group helps organizations across Healthcare, Science, Engineering, and Design (AEC) make sure their Artificial Intelligence (AI) solutions are trustworthy, effective, and responsible.
We offer a comprehensive suite of services including Consulting, AI Strategy, Compliance, and Quality Assurance to guide you through every stage of your AI journey. We ensure your AI works for you, safely and ethically.
Why is "AI Assurance" important for my industry (Healthcare & AEC)?
In industries where decisions have significant impacts on safety, patient outcomes, infrastructure integrity, or scientific accuracy, unreliable AI can have serious consequences. AI Assurance ensures your AI systems are:
Reliable: They consistently produce accurate results.
Fair: They don't introduce harmful biases.
Compliant: They meet industry regulations and ethical standards.
Transparent: Their decisions can be understood and explained.
This builds trust, mitigates risks, and helps you achieve your goals responsibly.
Why is "AI Assurance" important for my industry (Healthcare & AEC)?
In industries where decisions have significant impacts on safety, patient outcomes, infrastructure integrity, or scientific accuracy, unreliable AI can have serious consequences. AI Assurance ensures your AI systems are:
Reliable: They consistently produce accurate results.
Fair: They don't introduce harmful biases.
Compliant: They meet industry regulations and ethical standards.
Transparent: Their decisions can be understood and explained.
This builds trust, mitigates risks, and helps you achieve your goals responsibly.
Why is "AI Assurance" important for my industry (Healthcare & AEC)?
In industries where decisions have significant impacts on safety, patient outcomes, infrastructure integrity, or scientific accuracy, unreliable AI can have serious consequences. AI Assurance ensures your AI systems are:
Reliable: They consistently produce accurate results.
Fair: They don't introduce harmful biases.
Compliant: They meet industry regulations and ethical standards.
Transparent: Their decisions can be understood and explained.
This builds trust, mitigates risks, and helps you achieve your goals responsibly.
AI Quality & Monitoring
AI Quality & Monitoring
AI Quality & Monitoring
How does AI Assurance monitor the performance and quality of AI models?
We have several cutting-edge services designed for AI quality monitoring that can proactively watch your deployed AI models for critical signs of trouble, including:
Accuracy: Precision, Recall, F1-Score (for classification); RMSE, MAE (for regression). (These are the most direct measures of "does the AI work as expected?" and are paramount for user trust in critical applications like diagnostics or structural analysis.)
Latency & Throughput: Response times, inference time, requests per second. (Directly impacts operational efficiency and user experience, especially in real-time systems.)
Model Failure Rates & Types: Percentage of failed requests, categorization of errors. (Immediate indicators of critical system health issues.)
Input Data Drift: Detection of changes in statistical distributions and characteristics of input features. (Poor input data is a leading cause of AI failure; detecting this early prevents performance degradation.)
Prediction Drift: Identification of shifts in the model's output predictions. (Directly indicates a change in what the model is "saying," which can be critical.)
Distribution Shift: How different the distribution in the selected data is from the reference dataset over time. The scale ranges from 0-100, where 0 indicates identical distribution, and 100 indicates orthogonal distribution.
These services can provides automated alerts and detailed reports against non-production environments, allowing you to proactively address issues before they impact your operations, projects, or patient care.
How does AI Assurance monitor the performance and quality of AI models?
We have several cutting-edge services designed for AI quality monitoring that can proactively watch your deployed AI models for critical signs of trouble, including:
Accuracy: Precision, Recall, F1-Score (for classification); RMSE, MAE (for regression). (These are the most direct measures of "does the AI work as expected?" and are paramount for user trust in critical applications like diagnostics or structural analysis.)
Latency & Throughput: Response times, inference time, requests per second. (Directly impacts operational efficiency and user experience, especially in real-time systems.)
Model Failure Rates & Types: Percentage of failed requests, categorization of errors. (Immediate indicators of critical system health issues.)
Input Data Drift: Detection of changes in statistical distributions and characteristics of input features. (Poor input data is a leading cause of AI failure; detecting this early prevents performance degradation.)
Prediction Drift: Identification of shifts in the model's output predictions. (Directly indicates a change in what the model is "saying," which can be critical.)
Distribution Shift: How different the distribution in the selected data is from the reference dataset over time. The scale ranges from 0-100, where 0 indicates identical distribution, and 100 indicates orthogonal distribution.
These services can provides automated alerts and detailed reports against non-production environments, allowing you to proactively address issues before they impact your operations, projects, or patient care.
How does AI Assurance monitor the performance and quality of AI models?
We have several cutting-edge services designed for AI quality monitoring that can proactively watch your deployed AI models for critical signs of trouble, including:
Accuracy: Precision, Recall, F1-Score (for classification); RMSE, MAE (for regression). (These are the most direct measures of "does the AI work as expected?" and are paramount for user trust in critical applications like diagnostics or structural analysis.)
Latency & Throughput: Response times, inference time, requests per second. (Directly impacts operational efficiency and user experience, especially in real-time systems.)
Model Failure Rates & Types: Percentage of failed requests, categorization of errors. (Immediate indicators of critical system health issues.)
Input Data Drift: Detection of changes in statistical distributions and characteristics of input features. (Poor input data is a leading cause of AI failure; detecting this early prevents performance degradation.)
Prediction Drift: Identification of shifts in the model's output predictions. (Directly indicates a change in what the model is "saying," which can be critical.)
Distribution Shift: How different the distribution in the selected data is from the reference dataset over time. The scale ranges from 0-100, where 0 indicates identical distribution, and 100 indicates orthogonal distribution.
These services can provides automated alerts and detailed reports against non-production environments, allowing you to proactively address issues before they impact your operations, projects, or patient care.
How does AI Assurance specifically measure the quality of an AI's output, especially in complex areas like healthcare or engineering?
Our deep industry knowledge and unique process truly set us apart. We don't just assess general AI accuracy. For Healthcare, we prioritize clinical relevance and patient safety; for Engineering and Design, we understand the intricacies of design parameters and structural integrity. AI Assurance Group employs a proprietary methodology to measure the direct Output-to-Source Correlationof an AI model's output to its original training data and current source information. This ensures, for example, that an AI-generated bridge design aligns directly with input specifications and historical best practices, or that a medical diagnostic AI's recommendation transparently traces back to specific patient data features. This unique measurement provides a critical level of quality assurance and traceability for high-stakes applications
How does AI Assurance specifically measure the quality of an AI's output, especially in complex areas like healthcare or engineering?
Our deep industry knowledge and unique process truly set us apart. We don't just assess general AI accuracy. For Healthcare, we prioritize clinical relevance and patient safety; for Engineering and Design, we understand the intricacies of design parameters and structural integrity. AI Assurance Group employs a proprietary methodology to measure the direct Output-to-Source Correlationof an AI model's output to its original training data and current source information. This ensures, for example, that an AI-generated bridge design aligns directly with input specifications and historical best practices, or that a medical diagnostic AI's recommendation transparently traces back to specific patient data features. This unique measurement provides a critical level of quality assurance and traceability for high-stakes applications
How does AI Assurance specifically measure the quality of an AI's output, especially in complex areas like healthcare or engineering?
Our deep industry knowledge and unique process truly set us apart. We don't just assess general AI accuracy. For Healthcare, we prioritize clinical relevance and patient safety; for Engineering and Design, we understand the intricacies of design parameters and structural integrity. AI Assurance Group employs a proprietary methodology to measure the direct Output-to-Source Correlationof an AI model's output to its original training data and current source information. This ensures, for example, that an AI-generated bridge design aligns directly with input specifications and historical best practices, or that a medical diagnostic AI's recommendation transparently traces back to specific patient data features. This unique measurement provides a critical level of quality assurance and traceability for high-stakes applications
If our AEC firm uses AI for predictive maintenance on bridges, how does your service ensure these predictions remain accurate over time?
This is precisely where the AI Assurance Group excels! For predictive maintenance AI, we can continuously monitor for Data Drift (e.g., if bridge sensor data patterns change due to environmental factors) and Performance Degradation (e.g., if the AI becomes less accurate at predicting failures). Furthermore, our unique Output-to-Source Correlation monitoring ensures that the AI's predictions about bridge health are consistently and verifiably linked to the real-time sensor data and the historical patterns it learned. By catching these shifts early and confirming the integrity of the AI's "reasoning," we ensure your predictive models remain precise, helping you maintain bridge safety and optimize maintenance schedules efficiently.
If our AEC firm uses AI for predictive maintenance on bridges, how does your service ensure these predictions remain accurate over time?
This is precisely where the AI Assurance Group excels! For predictive maintenance AI, we can continuously monitor for Data Drift (e.g., if bridge sensor data patterns change due to environmental factors) and Performance Degradation (e.g., if the AI becomes less accurate at predicting failures). Furthermore, our unique Output-to-Source Correlation monitoring ensures that the AI's predictions about bridge health are consistently and verifiably linked to the real-time sensor data and the historical patterns it learned. By catching these shifts early and confirming the integrity of the AI's "reasoning," we ensure your predictive models remain precise, helping you maintain bridge safety and optimize maintenance schedules efficiently.
If our AEC firm uses AI for predictive maintenance on bridges, how does your service ensure these predictions remain accurate over time?
This is precisely where the AI Assurance Group excels! For predictive maintenance AI, we can continuously monitor for Data Drift (e.g., if bridge sensor data patterns change due to environmental factors) and Performance Degradation (e.g., if the AI becomes less accurate at predicting failures). Furthermore, our unique Output-to-Source Correlation monitoring ensures that the AI's predictions about bridge health are consistently and verifiably linked to the real-time sensor data and the historical patterns it learned. By catching these shifts early and confirming the integrity of the AI's "reasoning," we ensure your predictive models remain precise, helping you maintain bridge safety and optimize maintenance schedules efficiently.
AI Consulting and Strategy
AI Consulting and Strategy
AI Consulting & Strategy
My firm is new to AI. Can you help us figure out where to start?
Absolutely! Our AI Consulting and Strategy services are designed for exactly that. We work with you to understand your specific challenges and opportunities, identify the most impactful AI applications for your business (whether it's optimizing complex engineering designs, streamlining scientific research, or improving patient care), and develop a clear roadmap for successful, ethical AI adoption.
We help you build a strategy that aligns AI with your core business goals.
My firm is new to AI. Can you help us figure out where to start?
Absolutely! Our AI Consulting and Strategy services are designed for exactly that. We work with you to understand your specific challenges and opportunities, identify the most impactful AI applications for your business (whether it's optimizing complex engineering designs, streamlining scientific research, or improving patient care), and develop a clear roadmap for successful, ethical AI adoption.
We help you build a strategy that aligns AI with your core business goals.
My firm is new to AI. Can you help us figure out where to start?
Absolutely! Our AI Consulting and Strategy services are designed for exactly that. We work with you to understand your specific challenges and opportunities, identify the most impactful AI applications for your business (whether it's optimizing complex engineering designs, streamlining scientific research, or improving patient care), and develop a clear roadmap for successful, ethical AI adoption.
We help you build a strategy that aligns AI with your core business goals.
How can AI Assurance Group help our engineering or design firm implement AI without disrupting our current operations?
Our Consulting approach focuses on practical, phased AI integration. We assess your existing workflows and systems (like CAD/BIM tools in AEC), identify where AI can provide the most value with the least disruption, and help you pilot solutions.
We emphasize building internal capabilities and ensuring a smooth transition so your team can confidently embrace AI as a powerful new tool.
How can AI Assurance Group help our engineering or design firm implement AI without disrupting our current operations?
Our Consulting approach focuses on practical, phased AI integration. We assess your existing workflows and systems (like CAD/BIM tools in AEC), identify where AI can provide the most value with the least disruption, and help you pilot solutions.
We emphasize building internal capabilities and ensuring a smooth transition so your team can confidently embrace AI as a powerful new tool.
How can AI Assurance Group help our engineering or design firm implement AI without disrupting our current operations?
Our Consulting approach focuses on practical, phased AI integration. We assess your existing workflows and systems (like CAD/BIM tools in AEC), identify where AI can provide the most value with the least disruption, and help you pilot solutions.
We emphasize building internal capabilities and ensuring a smooth transition so your team can confidently embrace AI as a powerful new tool.
AI Compliance & Risk Management
AI Compliance
& Risk Management
AI Compliance &
Risk Management
With all the new AI regulations, how can we be sure our AI solutions are compliant?
Our Consulting approach focuses on practical, phased AI integration. We assess your existing workflows and systems (like CAD/BIM tools in AEC), identify where AI can provide the most value with the least disruption, and help you pilot solutions.
We emphasize building internal capabilities and ensuring a smooth transition so your team can confidently embrace AI as a powerful new tool.
With all the new AI regulations, how can we be sure our AI solutions are compliant?
Our Consulting approach focuses on practical, phased AI integration. We assess your existing workflows and systems (like CAD/BIM tools in AEC), identify where AI can provide the most value with the least disruption, and help you pilot solutions.
We emphasize building internal capabilities and ensuring a smooth transition so your team can confidently embrace AI as a powerful new tool.
With all the new AI regulations, how can we be sure our AI solutions are compliant?
Our Consulting approach focuses on practical, phased AI integration. We assess your existing workflows and systems (like CAD/BIM tools in AEC), identify where AI can provide the most value with the least disruption, and help you pilot solutions.
We emphasize building internal capabilities and ensuring a smooth transition so your team can confidently embrace AI as a powerful new tool.
What are the biggest risks of using AI in critical fields like science or engineering, and how do you help manage them?
Our Consulting approach focuses on practical, phased AI integration. We assess your existing workflows and systems (like CAD/BIM tools in AEC), identify where AI can provide the most value with the least disruption, and help you pilot solutions.
We emphasize building internal capabilities and ensuring a smooth transition so your team can confidently embrace AI as a powerful new tool.
What are the biggest risks of using AI in critical fields like science or engineering, and how do you help manage them?
Our Consulting approach focuses on practical, phased AI integration. We assess your existing workflows and systems (like CAD/BIM tools in AEC), identify where AI can provide the most value with the least disruption, and help you pilot solutions.
We emphasize building internal capabilities and ensuring a smooth transition so your team can confidently embrace AI as a powerful new tool.
What are the biggest risks of using AI in critical fields like science or engineering, and how do you help manage them?
Our Consulting approach focuses on practical, phased AI integration. We assess your existing workflows and systems (like CAD/BIM tools in AEC), identify where AI can provide the most value with the least disruption, and help you pilot solutions.
We emphasize building internal capabilities and ensuring a smooth transition so your team can confidently embrace AI as a powerful new tool.
We are ready to validate your AI and help you ensure it is doing what you think it is.
We are ready to validate your AI and help you ensure it is doing what you think it is.
We are ready to validate your AI and help you ensure it is doing what you think it is.
Schedule an introduction or send us a message. We are ready to help bring assurance to your AI transformation.
Schedule an introduction or send us a message. We are ready to help bring assurance to your AI transformation.
Schedule an introduction or send us a message. We are ready to help bring assurance to your AI transformation.