AI Implementation & Integration

We build and deploy custom AI-powered software solutions designed around your workflows. From LLM integration to machine learning models to intelligent automation—we handle the entire implementation. Your solution is built to scale, integrate with existing systems, and deliver measurable results.

Ready to Build Your AI Solution

Whether you have a strategy already or want us to refine your vision, we'll build an AI solution tailored to your exact needs. Let's discuss your implementation.

Our Implementation Process

Phase 1: Architecture & Design

We design your AI-native architecture from scratch. This means building systems that are optimized for AI integration, scalability, and performance. We choose the right models, platforms, and infrastructure for your specific use case.

Duration: 1-2 weeks | Deliverables: Technical architecture, model selection, system design

Phase 2: MVP Development

We build a minimum viable product (MVP) that includes core AI functionality. This gets you a working solution quickly so you can test, validate, and provide feedback. You'll see results fast, not months down the line.

Duration: 4-8 weeks | Deliverables: Working AI solution with core features

Phase 3: Integration & Testing

We integrate your AI solution with existing systems and conduct rigorous testing. We ensure performance, reliability, security, and that everything works as expected before launch.

Duration: 2-4 weeks | Deliverables: Integrated, tested, production-ready solution

Phase 4: Deployment & Training

We deploy your solution to production and provide training to your team. You get documentation, video walkthroughs, and hands-on training so your team can use and maintain the solution confidently.

Duration: 1-2 weeks | Deliverables: Live solution, training, documentation

Phase 5: Ongoing Support & Optimization

After launch, we provide post-launch support and continuous optimization. Whether it's bug fixes, performance tuning, or adding new features, we're here for the long term.

Duration: Ongoing | Support: Bug fixes, updates, scaling, new features

What We Can Build

LLM Integration

ChatGPT, custom language models, RAG systems, conversational AI—we integrate large language models into your workflows seamlessly.

Machine Learning Models

Predictive models, classification systems, anomaly detection—we build and deploy ML models tailored to your data and use case.

Intelligent Automation

AI-driven workflows that automate repetitive tasks, reduce manual work, and free your team to focus on high-value activities.

Data Insights & Analytics

Custom analytics platforms that give you actionable insights from your data. Real-time dashboards, predictive analytics, business intelligence.

Custom AI Tools

Replace expensive SaaS subscriptions with custom AI-powered tools built exactly for your workflows. Own your solution, not rent it.

AI-Powered SaaS Replacement

Tired of patching together 5+ different tools? We build integrated AI solutions that replace multiple subscriptions with one intelligent platform.

Why Choose Digizu for Implementation

AI-Native Architecture

We design systems built for AI from day one, not as an afterthought. This means better performance, easier scaling, and lower refactoring costs.

Fast Time to Value

We get an MVP working in 4-8 weeks, not months. You start seeing ROI quickly, not years down the line.

Full Integration

We integrate with your existing systems seamlessly. Your AI solution works with what you already have, not against it.

Ongoing Support

We don't abandon you after launch. We provide post-launch support, updates, optimization, and new features as your needs evolve.

Comprehensive Training

Your team gets full training, documentation, and video walkthroughs. You're never left guessing how to use your solution.

Ready to Build Your AI Solution?

Let's discuss your implementation. We'll outline what's possible, provide a realistic timeline and cost estimate, and answer your questions.

Book Implementation Consultation