AI Development & Integration
Apply AI where it creates real business value
AI is most valuable when it solves a real business problem. We help businesses identify where AI can make a meaningful difference, determine the right approach, and turn the opportunity into working software.
AI projects
years building software
in-house engineers
Where to start
Not sure where AI fits your business?
You don't need a defined AI project to start. Our engineers work with you to understand your business challenges, identify where AI could create meaningful value, and define a practical solution.
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AI assistants & agents
Give employees and customers intelligent support through AI that can answer questions, retrieve business information and perform defined tasks across connected systems.
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Intelligent process automation
Combine AI, business rules, workflows and system integrations to reduce manual work and automate complex processes.
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AI for ERP & CRM
Add intelligent capabilities to the business systems you already use, without creating disconnected AI tools.
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Data & decision intelligence
Use AI and machine learning to analyse complex information, identify patterns and support better business decisions.
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Custom AI applications
Design and build AI-enabled software around your specific business requirements when off-the-shelf products don't fit.
Selected work
AI solutions we've delivered
Our AI work spans healthcare, manufacturing, environmental science, construction, retail and other specialised fields — solving very different business and technical problems.
Retail & eCommerce
AI-powered custom print platform
A generative AI automation platform helps customers create personalised products with generated artwork, interactive previews and an automated production workflow.
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Healthcare
AI health assistant
An Agentic RAG AI agent provides context-aware health guidance, nearby healthcare recommendations and personalised support with long- and short-term memory.
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Education & healthcare
Medical training simulator
AI-powered patient simulations and computer-vision assessment help medical students practise clinical procedures and receive objective performance feedback.
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Healthcare & research
Intelligent microscopy platform
Computer vision and deep learning automate image recognition and tissue localisation to improve laboratory efficiency and real-time collaboration.
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Construction
AI construction estimation
Computer vision and OCR analyse architectural drawings, automate measurements and speed up quantity take-offs and project budgeting.
Read case studyFrom business problem to production AI
AI projects succeed when business value, data, model performance and system integration are validated together. We test what matters before committing to a larger build.
01 — Business case
Define the opportunity
Identify the workflow, problem and business outcome AI needs to improve.
02 — Data & context
Assess the inputs
Assess whether your real data, documents and systems can support the use case.
03 — Evaluation
Validate the solution
Test accuracy, reliability, exceptions and cost against real business requirements.
04 — Integration
Integrate with your workflow
Connect AI with your systems, data, business rules and human oversight.
05 — Production
Monitor and improve
Track performance in production and refine the solution as needs change.
Automate
Use AI where it can reliably reduce repetitive processing and analysis.
Assist
Use AI to support people where human judgement still matters.
Don't use AI
Use conventional software or rules when they are more reliable or cost-effective.
Why Shinetech
Why businesses work with Shinetech on AI
We help businesses identify where AI can make a practical difference, validate what works, and turn it into software that fits their operations.
Start with the business problem
We begin with what needs to improve — a slow process, repetitive work, difficult decisions, fragmented information or a capability your existing software cannot provide.
Validate before you scale
Test the use case with real business data and workflows before committing to a larger implementation. This helps establish what works, where the limitations are and whether the business case is strong enough to proceed.
Fit AI into your existing business
Introduce AI where it creates value without unnecessarily replacing the ERP, CRM, applications and processes that already work.
Build beyond the AI model
Turn AI capabilities into working business solutions by connecting models with your data, applications, workflows, permissions and existing systems.
Know when AI isn't the answer
We consider AI alongside automation, integration and conventional software development, and recommend the approach that best solves the problem rather than applying AI where a simpler solution would work better.
Technology
AI technologies we work with
We select AI technologies based on the problem, data and technical requirements of each solution.
- Generative AI & LLMs
- AI agents
- RAG
- Machine learning
- Deep learning
- Natural language processing
- Computer vision
FAQ
How do we know whether AI is right for our business?
Start with the problem rather than the technology. We assess what you want to improve, your existing systems and available data, then determine whether AI, automation, integration or conventional software development is the most practical approach.
Do we need an AI strategy before contacting you?
No. You can come to us with a specific idea, an inefficient process, a system limitation or simply an area of the business you want to improve.
Can you add AI to our existing ERP or CRM?
Yes. AI capabilities can often be introduced through integrations or extensions without replacing the underlying ERP or CRM.
Can you integrate AI with our existing software?
Yes. Integration with existing applications, APIs, databases and business systems is a core part of many AI implementations.
Do you build custom AI applications?
Yes. We design and develop custom AI-enabled applications when existing products don't adequately fit the required workflow or business requirements.
Can we start with a small AI initiative?
Yes. Starting with a clearly defined problem is often a practical way to validate feasibility and business value before expanding the solution.
What happens after an AI solution goes live?
AI solutions often require ongoing monitoring, refinement and adaptation as data, workflows and business requirements change. Our engineers can continue supporting and improving the solution after launch.
How do you protect our data and IP when using AI?
We design AI solutions around your data access, privacy and security requirements, including what information AI can access and how data is shared with third-party AI services. Where required, we can consider private environments, data residency, RAG and other architectures based on your security requirements.
Your business data and project IP remain protected through controlled access, contractual IP protection and our established information security practices. Shinetech is ISO 27001 certified, and we build software for clients rather than developing competing products from client ideas.
Learn about our approach to IP & data protection →
Not sure where AI fits your business?
Tell us what you want to improve. We'll help determine whether AI is the right approach and what a practical solution could look like.