Introduction and challenges
Artificial Intelligence (AI) and Machine Learning (ML) are no longer emerging trends—they’re essential tools driving business transformation today. From supply chain to sales, finance, procurement, HR, and manufacturing, these technologies convert raw data—structured and unstructured—into actionable insights and practical solutions. By doing so, they unlock hidden value and open the door to innovation at every level of the organisation.
However, adopting AI solutions requires deep expertise and experience across many technology domains including:
- Data excellence: Ensuring clean, accessible, and usable data for AI.
- AI application development experience: Blending the development of applications with innovative complex AI and ML solutions.
- ML/ AI SecDevOps skills: Ensuring the teams on the ground know how to design, implement, enhance and manage complex AI based solutions
- Workflow integration: Understanding how and where to improve business processes and with what technologies
- Business and technical expertise: Supporting technical expertise with business domain knowledge to develop relevant solutions
- Innovation mindset: Constantly scanning the AI market for new solutions to solve client issues with the imagination to see how to apply the old and new technologies to best effect
How we can help
Our AI applications are designed and developed by combining our Argon & Co consulting pedigree in strategy, operations and transformation with our market leading AI, ML, Data and application development skills. We design and deliver tailored AI solutions to address complex business challenges, empowering clients to achieve operational excellence across their organisation.
Our team of data scientists, application developers, engineers, and analysts use cutting-edge data science and AI technologies. We help clients address complex business challenges by designing and implementing advanced AI application solutions tailored to their specific needs, covering all aspects of operational excellence
We apply our application development, AI/ machine learning and advanced analytics skills to a variety of use cases, including:
- Context-aware categorisation – A machine learning-based system for categorising data using GenAI and ML algorithms. Example: Automatically classifying customer support tickets for quicker resolution.
- Smart document parsing – Combines OCR/ICR tools with contextual recognition and pre-curated extraction intelligence to process documents. Example: Automating invoice data extraction in finance departments.
- Intelligent FAQ assistant – A knowledge management bot built with RAG architecture, leveraging customer data for interactive solutions. Example: Employee onboarding assistance via an internal chatbot.
- Web sentiment analytics – Uses theme extraction and sentiment analysis to interpret opinion-based web content. Example: Tracking public sentiment on product launches across media platforms.
- Sentiment insight – Automates topic and sentiment extraction with business logic classification for free-form text. Example: Analysing open-ended customer survey responses.
- Enterprise GenAI agent builder – A self-service generative AI builder for enterprise use, capable of ingesting internal and external diverse data formats for GenAI Agent creation. Example: Secure GenAI Agent contract documents search and summarisation for purchasing departments.
What makes AI solutions compelling are five key principles:
- Open source and fully customisable: no longer locked to SaaS platform providers and their cumbersome annual release cycles, our solutions have a standard core processing engine and architecture, but fully customisable features based on business rules
- Flexible integration for AI solution UI: allows Excel, PowerBI (and any other data visualisation solution) or a full application front end
- ROI driven: AI technologies are no longer the technology of the select few, GenerativeAI and the rush to service the market has commoditised core components of AI solutions and lower application development costs through the use of AI code augmentation has enabled faster time to value
- Progressive roll-out: the AI solution can be constantly and quickly tuned and enhanced to drive better ROI over time
- Application integration option: AI Solutions can provide the digital glue for Enterprise Architectures requiring core platform functionality without waiting extended design and build phases and the associated costs.
By bringing together advanced technologies, effective data management, and a collaborative approach, AI applications allow for a more flexible, adaptive, and efficient management of end-to-end operations. Through a series of discovery workshops, we will work hand-in-hand with our clients’ teams to shape the unique solutions needed to match the true requirements of each business.