AI Solutions for Business
AI solutions designed for your business, matched to your needs.
SITECH designs AI solutions on each business’s real data and real processes — not off-the-shelf packaged tools. Deployed on the cloud or on Local servers, safely and under your control.
Solutions
Three groups of AI solutions
Each solution is built on the business’s real data and real processes — starting from one specific problem, verified with a prototype, then expanded.
AI Platforms
Built on AI platforms
SITECH chooses the model and platform that fit each problem — without depending on a single vendor.
The logos are trademarks of their respective owners. SITECH uses these companies’ platforms and services to build tailored solutions for each business.
Safety & Control
Use AI without losing control
AI is only valuable when your business can control it. SITECH designs three layers of protection around every AI system.
Deployment on Local servers
An AI system can be built and run on your business’s Local servers. Data never leaves your internal infrastructure — suited to sensitive data and specific security requirements.
AI control layer — Guardrails
A guidance layer wrapped around the AI model, keeping AI working within your business’s rules — so staff use AI for its intended purpose, without misuse and without leaking information.
AI gateway — Gateway
A single entry point for AI in your business: controlling who may use which AI, logging usage, and protecting data through one gateway.
Local server infrastructure — data stays inside the business.
AI Education
AI Education Programmes for Businesses & Schools
AI only delivers when people know how to use it properly. SITECH develops AI education programmes — books, learning materials and training — designed around each organisation’s audience, learning outcomes and security requirements.
- Materials for understanding, practising and verifying — not relying on absolute promises.
- Training tied to the team’s real work, data and responsibilities.
- Safety and privacy by design: no collection beyond the stated purpose.
AI books & learning materials
Books, handbooks and practical materials that help readers use AI with purpose.
Safe AI use training
Training programmes designed around audience groups, real tasks and the organisation’s security requirements.
Deployment process
A 4-step process for AI project deployment
Survey & Problem Diagnosis
We assess the current state of data and processes, and identify the bottleneck where applying AI delivers clear benefit.
Prototype Building (PoC/MVP)
We rapidly develop a trial model on your business’s real data to verify it before wider deployment.
In-depth Training & Integration
We fine-tune the AI model, design an easy-to-use interface and integrate APIs into existing software (Web, App, ERP, IoT) in line with your business’s security requirements.
Handover, Training & Continuous Optimisation
We train your team to use the system confidently, and stay alongside you with maintenance and model upgrades as the business grows.
Frequently asked questions
What businesses often ask
Will our data be used to train models?
With Local server deployment, data never leaves your business’s infrastructure. For other deployment models, SITECH agrees the scope of data use clearly before deployment.
Is AI absolutely accurate?
No. AI results need to be verified. SITECH designs Guardrails and verification processes so AI results are reviewed before they inform important decisions.
Can small businesses use AI?
Yes. Start from one specific problem, build a small prototype (PoC) to verify, then expand. No large upfront investment is needed.
How long until we have a prototype (PoC)?
It depends on available data and the scope of the problem. SITECH builds a prototype early on real data so your business can see results before deciding on wider deployment.
Will AI replace our team?
No. AI helps your team work faster and more accurately. SITECH trains your team to run the system themselves after handover.
What if we have no in-house AI technical team?
SITECH stays with you from survey through handover and training. Your team does not need to be AI specialists — they only need to understand their own business processes.


