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Custom AI Solution Audit
What Is AI Solution Audit?
AI is woven into the fabric of businesses—driving decisions, streamlining operations, and enabling faster growth. With almost 80% of organizations excited about AI’s potential for growth, confidence is high. However, over 60% identify inaccuracy as the greatest risk AI poses to their organization. Vigilance is essential; businesses need AI models that are accurate, efficient, and secure.
Tensorway’s AI solution audit equips your team with a crystal-clear view of your AI’s strengths and improvement areas, empowering you to embrace its potential with confidence. From spotting hidden risks to optimizing performance, we ensure your AI model works for you—safely, smartly, and aligned with your goals.
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Challenges with AI Models in Business
You’ve implemented AI—a complex and exciting leap forward. But with so much happening under the hood, it’s tough to keep track of everything. Here are the challenges that could be hindering your AI model from delivering the results you’re aiming for.
Data drift
When real-world data shifts over time, models can lose accuracy, requiring regular updates to stay effective.
Model bias
Imbalances in training data can lead to skewed results, impacting insights and raising ethical issues.
Scalability
Models that perform well with smaller datasets may struggle with larger, real-time data, impacting efficiency and speed.
Model interpretability
Limited transparency can make it difficult for teams to understand how AI decisions are made, affecting trust and accountability.
Lack of continuous evaluation
Without ongoing assessments, models risk becoming outdated, misaligned with business goals, and less reliable over time.
Benefits of AI
Solution Audit
When you partner with Tensorway, you’ll gain more than just advanced technology—you’ll get tangible business results. Here’s how our artificial intelligence consulting services can benefit your business:
Pinpoint where/why the current AI solution fails
Our AI engineers thoroughly analyze your machine learning (ML) models and architecture to identify areas for potential improvements. By examining model efficiency, data flow, and processing, we provide actionable insights to enhance performance—without touching the code itself.
Assess data pipelines for streamlined efficiency
We evaluate whether you are using appropriate data for ML model creation. By analyzing data handling, preprocessing, and feature engineering, we highlight specific improvements to help you reduce delays and optimize operational costs.
Ensure alignment between AI initiatives and business objectives
An effective AI solution should drive business value. Our audit ensures that your AI models and projects align with key business objectives, making AI an integral part of your organization’s strategy rather than an isolated effort.
Identify improvement areas in data governance
Data quality, availability, and accessibility are critical for AI success. Our audit evaluates these aspects, recommending improvements in data governance to prevent data-related issues from hampering future AI initiatives.
Benchmark with cutting-edge AI advancements
With AI constantly evolving, we compare your current setup to the latest in ML and DL advancements. Our audit offers you an up-to-date snapshot of how your solution stacks up, along with guidance on new techniques that can keep your AI competitive.
Evaluate the full end-to-end model development cycle
Our audit examines every step of your AI model development, from data preprocessing to deployment. This comprehensive evaluation highlights any inefficiencies and ensures each phase supports your overarching business goals.
Enhance security and data protection
AI systems often handle sensitive data, making security essential. Our audit includes a review of data protection measures and AI security protocols, helping you safeguard both your data and your models from vulnerabilities.
Ensure compliance with regulations
With AI-related regulations evolving, it’s essential to stay compliant. Our audit helps you align your AI initiatives with current standards, ensuring responsible and lawful AI practices across your business.
Gain a roadmap for future AI growth
Our audit not only reveals immediate insights but also outlines a strategy for scaling your AI solution. From real-time data processing to deploying additional DL models, our findings offer a clear path to expanding and evolving your AI as your business grows.
Strengthen your AI model
Don’t let hidden issues hold you back. Our audit will reveal opportunities to enhance accuracy, efficiency, and security of your AI.
How We Conduct AI Solution Audit
Wondering what goes into a thorough AI model audit? It’s a step-by-step deep dive, exploring anything from data quality to model performance. Each phase is designed to give you a clear view of how your AI operates and where it can go next.
Model performance assessment
Error analysis and diagnostics
Model architecture review
Data quality and preprocessing
Inference speed diagnostics
Scalability and resource usage evaluation
Bias and fairness analysis
Security and robustness evaluation
Explainability assessment
Reproducibility check
Is your AI aligned with your goals?
Make sure your AI is driving results that matter. We’ll show you where to enhance and optimize your models.
Tensorway’s Expertise in AI Solution Audit
At Tensorway, we audit the ML/DL models that drive businesses. Here are some of the most high-impact AI solutions we assess within our AI model audit service.
Natural language processing (NLP) models
Assessing NLP solutions and applications like chatbots, text classification models, sentiment analysis, and language generation for quality, coherence, and fair representation.
Image and video recognition models
Evaluating computer vision models used in sectors like healthcare, retail, and security to ensure precision and robust performance.
Predictive analytics models
We create tailored machine learning models to help your business make smarter decisions, predict trends, and automate processes.
Recommendation engines
Auditing recommendation systems to optimize user experience and ensure unbiased, relevant suggestions.
Anomaly detection models
Auditing models that monitor irregularities in areas like finance and cybersecurity, ensuring they effectively catch and respond to potential risks.
Optimization models
Examining solutions used for resource allocation, logistics, and supply chain management to verify efficiency and scalability.
Fraud detection systems
Reviewing fraud models for accuracy, scalability, and compliance, crucial in finance and eCommerce.
Timeline
The entire process of AI solution audit takes around 1–2 weeks and includes the following steps:
Kickoff meeting
Align on approach, scope, and stakeholders
Report preparation
Compile findings and recommendations
Final report delivery
Kickoff meeting
Align on approach, scope, and stakeholders
Information gathering & analysis
Stakeholder interviews, model/document reviews
Report preparation
Compile findings and recommendations
Review and presentation
Present key results and next steps
Final report delivery
Deliverables
What’s Next?
Wondering where to go from here? After receiving the report, you’ve got a few options to make the most of AI audit insights:
Implement recommendations with your team
Take our action plan and apply the changes in-house to enhance your AI setup.
Get hands-on support from us: Need an extra hand?
Our AI development services can help you put the recommendations into action and fine-tune your solutions for maximum impact.
Book a follow-up chat
Have questions or want to explore next steps? Schedule a consultation with us to dive deeper or map out your AI roadmap.