AI & Machine Learning
Looking to transform how your business works? We design and integrate AI solutions that bring measurable business impact. Our team guides you through strategic use of AI where it matters and avoids it where it doesn’t. From intelligent automation to predictive analytics and recommendation engines, we deliver scalable systems built for long-term performance and real-world value.
We help you make better decisions
DO OK’s AI and Machine Learning services help organisations solve complex problems, uncover patterns and make better decisions. We focus on practical implementation, embedding AI into workflows, digital products and platforms in ways that drive outcomes.
Clients come to us with ideas, goals, or data sets. We help define whether AI is the right tool, choose the appropriate models, and integrate everything into usable systems such as predictive analytics, content generation, or smarter automation. Our approach is to design solutions that are sustainable, cost-efficient and aligned with business value.
Solutions
Smart, efficient AI features and automations designed to solve real business challenges, not follow trends.
Generative
AI Solutions
We integrate large language models into digital products to support content generation, conversational agents and creative automation. These features enhance user interaction, reduce manual workload and increase personalisation at scale. Use cases are technically sound, responsibly deployed and optimised for business value.
Data Analytics &
Predictive Modelling
DO OK helps clients turn historical and real-time data into actionable insights through forecasting, classification and trend analysis to support smarter planning, faster decision-making and earlier risk detection across industries. We select the right tools to balance accuracy, performance and cost.
Recommendation Engines
Our engineers build intelligent recommendation systems that adapt to user preferences, behaviours and content patterns. These engines are ideal for e-commerce, content platforms and apps aiming to boost engagement, retention or conversion. Each solution is tuned for performance and built to evolve alongside user data.
Anomaly Detection Systems
We develop systems that identify outliers and irregular patterns in real time to detect fraud, monitor critical infrastructure or verify data quality. These tools reduce risk by flagging unexpected behaviour early, and can be integrated directly into dashboards or alerts for faster response.
Automation & Optimisation
When it provides a measurable benefit, we embed AI into internal processes or end-user features to reduce friction, automate decisions and optimise operations. These solutions can include smart workflows, dynamic pricing models or resource allocation engines that improve efficiency and reduce human error across critical tasks.
Python
NumPy
Pandas
PyTorch
TensorFlow
Keras
OpenAI
LangChain
Scikit-learn
LangFlow
LangGraph
FastAPI
Matplotlib
MLflow
ONNX
Seaborn
Weights&Biases
Claude
Why DO OK?
Consulting-First Mindset
DO OK doesn’t treat AI as a checkbox or follow trends. Our team begins with business context, helping you assess whether AI is appropriate, how it should be used and what success looks like, helping prevent wasted investment and tying every AI initiative to practical business outcomes.
Critical Thinking Over Hype
We’re not here to sell buzzwords. We ask hard questions about cost, complexity and real impact, then help clients avoid solutions that overpromise or underdeliver. Our goal is to match each problem with the right approach, which sometimes means choosing conventional automation over experimental AI models.
Business Alignment at Every Step
Our teams stay focused on measurable business value, from discovery all the way through deployment. That means selecting use cases that move the needle, defining success in real-world terms and integrating AI to enhance performance, not complicate things. We believe that AI should be treated as a business tool, not a novelty.
End-to-End Support
We don’t just prototype and disappear. Our team supports the entire lifecycle, from scoping and data preparation to implementation, testing and refinement. As the system evolves, we’re there to optimise, maintain and help expand functionality in a way that fits your roadmap and team capabilities.
Ready to operate smarter?
From intelligent automation and predictive analytics to advanced machine learning, we design and deliver scalable solutions that create measurable impact and grow with your business.
Frequently asked questions
How do I know if my business actually needs AI?
We start by understanding the problem you’re trying to solve, then explore whether AI is the right fit. Sometimes a simpler automation or rules-based system delivers better ROI. Our role is to help you make informed choices and avoid wasting resources on models that don’t add meaningful value or solve real business needs.
How do you ensure AI outputs are trustworthy?
We prioritise transparency when building AI systems, especially in regulated or high-stakes environments. That includes model selection, structured testing and presenting outputs in ways that users and stakeholders can understand. We also offer strategies for bias detection, audit trails and human-in-the-loop review where required.
Can you help me integrate AI into an existing system?
Yes. We often embed AI functionality into live platforms like a mobile app, web dashboard or internal tool. We design APIs, train or connect models and provide smooth deployment within your existing architecture. The result is a practical, scalable upgrade that works within your current tech stack.
What kind of data do I need to get started?
The right kind of data depends on the problem you’re solving. We’ll help evaluate the structure, volume and quality of your existing data, then determine whether it’s usable as-is or needs refinement. If data is lacking, we can help you define a strategy to gather or generate what’s needed.
Is AI development expensive?
It doesn’t have to be. We focus on fast, low-risk validation before scaling to full production. That might mean prototyping a single feature or embedding lightweight models into existing workflows. Our approach is designed to minimise upfront cost and prove business value before committing to more advanced development.
Do you build custom models or use off-the-shelf tools?
Both, depending on your needs. In most cases, we integrate proven pre-trained models, which allows us to deliver AI features in weeks rather than months. Building or fine-tuning custom models is usually reserved for highly specialised needs, since it can require months of training and tuning in addition to implementation.
-min.png)
