AI Consultancy: Development Services and Machine Learning Solutions
At McKenna Consultants, we design and build custom artificial intelligence software systems for large-scale companies (including eCommerce companies) that need dependable, adaptable, and high-quality AI agents and assistants to support their customers and teams. We also explore the concept of artificial general intelligence (AGI), which represents artificial intelligence that can perform a wide range of tasks with human-like understanding and adaptability, contrasting it with narrower artificial intelligence systems limited to specific functions.
We specialize in delivering bespoke, practical AI solutions that integrate seamlessly into your complex technical landscape—especially when off-the-shelf AI tools fall short. Our AI consultants guide organizations on their AI transformation journeys, developing tailored strategies for deploying AI at scale, improving business efficiency, and driving innovation through robust support systems and workforce planning.
Intelligent AI Assistants Tailored for eCommerce
Whether you’re running a B2B or B2C platform, our AI development team helps you unlock value by building AI chatbots and assistants that:
- Support customer service with natural, context-aware interactions
- Offer personalized product guidance
- Handle high-volume queries efficiently and accurately
- Learn and adapt through robust monitoring and human-in-the-loop feedback
Our AI assistants can significantly improve conversion rates for eCommerce businesses by enhancing customer engagement and optimizing support systems.
We bring over 20 years of experience in complex eCommerce platforms to every AI engagement, ensuring that your assistant works reliably at scale and delivers real business value. Our AI solutions drive conversions through personalized shopper engagement, ensuring timely interactions that are crucial for success.
Quality Built-In: From RAG Data to Prompt Engineering
We don’t just deploy artificial intelligence—we engineer it with quality from the ground up:
- RAG (Retrieval-Augmented Generation): We focus on ingesting high-quality domain-specific data to ensure your assistant provides accurate, reliable, and up-to-date responses. Additionally, we leverage unlabeled data to identify patterns and enhance the model's understanding without predefined outcomes.
- Custom Prompt Engineering: We tune every interaction to align with your brand, customer expectations, and regulatory requirements, utilizing both supervised and unsupervised learning techniques to optimize performance.
- Ongoing Monitoring & Fine-Tuning: Our systems are built with the tools to track, test, and improve performance continuously, so your AI assistant keeps getting smarter over time. The careful selection and processing of training data are crucial in this process to avoid biases and ensure ethical AI development.
- Human-in-the-lop: We firmly believe that a good approach to driving high-quality autonomous service from AI chat bots is to keep a human-in-the-loop. We achieve this by building custom dashboards and control panels that allow admin users to review all AI chats and all of the information used by the Large Language Model (LLM) within that chat. This allows humans to identify incorrect or out of date information that has been supplied to the artificial intelligence and take action to remove that information from the AI's knowledge base.
Practical, Reliable, Bespoke AI Systems
Our approach is always practical and grounded in real-world software engineering. We don’t oversell the hype—we deliver working AI that integrates into your existing tech stack. Artificial neural networks play a crucial role in our AI systems, leveraging their structure modeled after the human brain to process complex data effectively.
Our services are ideal for eCommerce teams that:
- Have already invested in their own data and need a smart way to leverage it
- Want to retain full control over their AI’s behavior and output, and handle other tasks efficiently
- Require robust back-end integration with existing platforms and services
Neural networks, consisting of interconnected layers of nodes, are particularly effective for tasks that involve identifying patterns and analyzing complex data.
AI and Customer Experience
AI-powered chatbots and virtual assistants are revolutionizing customer experience by providing personalized support and assistance in real-time. Through natural language processing (NLP), these AI systems can understand and respond to human language, allowing customers to interact with businesses in a more natural and intuitive way.
AI-driven analytics offer businesses valuable insights into customer behavior and preferences, enabling them to tailor their marketing and sales strategies to meet customer needs more effectively. By analyzing data, AI can help businesses understand what their customers want and how to engage them better.
Automation powered by AI can streamline customer service operations, reducing the need for human intervention and improving response times. AI chatbots can handle a high volume of customer queries, providing accurate and timely support, which leads to improved customer satisfaction and loyalty.
The use of AI in customer experience is becoming increasingly popular, with many businesses adopting AI-powered solutions to enhance their customer service and support operations. By leveraging AI, businesses can engage customers more effectively, answer their queries promptly, and provide a superior customer experience.
AI Risks and Governance
As AI becomes more pervasive, there are growing concerns about the risks and challenges associated with its development and deployment. Issues such as bias, job displacement, and cybersecurity threats are significant considerations that need to be addressed.
AI governance refers to the set of policies, procedures, and standards that organizations use to manage and regulate the development and use of AI systems. Effective AI governance requires a strong focus on transparency, accountability, and ethics. Organizations must develop robust testing and validation protocols to ensure their AI systems are reliable and fair.
It is crucial for organizations to design and deploy AI systems in a way that is fair, transparent, and respectful of human rights and dignity. This involves ensuring that AI systems do not perpetuate biases and that they operate in a manner that is understandable and accountable.
The development of AI governance frameworks and standards is an ongoing challenge that requires collaboration between governments, industries, and civil society organizations. As AI continues to evolve, it is essential to address the risks and challenges associated with its development and deployment, ensuring that its benefits are realized in a responsible and sustainable way.
Why Choose McKenna Consultants?
✅Deep eCommerce Expertise – From high-volume ordering systems to complex product data pipelines, we understand enterprise eCommerce. Our AI consulting services guide eCommerce businesses through their AI transformation journeys, helping them scale AI initiatives, optimize processes, and drive innovation.
✅ Enterprise-Grade Software Engineering – We’re not a creative agency experimenting with AI; we’re software engineers who build scalable, maintainable, and secure systems. Our AI solutions analyze data from various sources to extract insights, enabling predictive maintenance and improving business efficiency.
✅ Flexible, Transparent Engagement – We operate on a monthly time-and-materials model, with no long-term contracts or black-box pricing.
✅ Trusted by Global Clients – Our clients include IMI plc, Suralink, Astrak, Workiro, Kendox, MyComplianceOffice, and Switch2.
Introduction to Artificial Intelligence
Artificial intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as understanding natural language, recognizing images, and making decisions. As a subset of computer science, AI focuses on creating machines that can think and learn like humans, utilizing techniques such as machine learning, deep learning, and neural networks.
The primary goal of artificial intelligence is to enable computers to perform tasks autonomously, without the need for human intervention. By analyzing data, identifying patterns, and making predictions, AI systems can enhance decision-making processes across various industries. From customer service and healthcare to finance and transportation, AI has the potential to improve efficiency, accuracy, and overall operational effectiveness.
AI systems can be categorized into different types, including narrow AI, general AI, and superintelligence. Narrow AI is designed to perform specific tasks, while general AI aims to replicate human intelligence across a wide range of activities. Superintelligence, though still theoretical, refers to AI that surpasses human intelligence in all aspects.
The development of artificial intelligence has been driven by advances in computer science, mathematics, and engineering. As these fields continue to evolve, AI has the potential to revolutionize many aspects of our lives, making it an exciting and transformative technology.
Looking to implement AI integration services into your business?
If you're interested in McKenna Consultants' outsourced AI solutions or want to explore how we can assist you, please contact our experts today.
AI and Future Developments
The future of AI is likely to be shaped by advances in areas such as deep learning, natural language processing, and computer vision. These technologies will drive the development of new AI applications and enhance existing ones, leading to significant improvements in efficiency, productivity, and safety.
AI is expected to play a crucial role in the development of autonomous vehicles, robotics, and the Internet of Things (IoT). These applications will become more widespread, transforming industries and improving operational efficiency.
The development of AI-powered virtual and augmented reality technologies is set to revolutionize sectors such as entertainment, education, and healthcare. These technologies will provide immersive experiences and innovative solutions to complex problems.
In the realm of cybersecurity and data analytics, AI will become increasingly important as organizations seek to protect themselves against sophisticated cyber threats. AI’s ability to analyze vast amounts of data and identify patterns will be invaluable in enhancing security measures.
The future of AI will also be influenced by advancements in quantum computing and nanotechnology. These technologies have the potential to significantly improve AI performance and capabilities, opening up new possibilities for AI applications.
As AI continues to evolve, it is essential to ensure that its benefits are realized in a responsible and sustainable way. Effective governance and regulation will be crucial in addressing the risks and challenges associated with AI development, ensuring that AI technologies are used ethically and for the greater good.
Work With a Custom AI Development Company
If you think our AI integration services could give your organisation the boost it needs, please get in touch with us at McKenna Consultants. We are experts in building AI assistants using Large Language Models, so please reach out if this is something you think your business could benefit from.
Our AI solutions help businesses stay ahead of the competition by leveraging advanced technologies like predictive maintenance to proactively manage and forecast potential issues in operations.
Additionally, for more information on artificial intelligence, including how AI can improve customer experience, take a look at our blog.