Intelligent systems that drive decisions.
Custom AI-powered software built for real business problems. From conversational AI to predictive analytics — designed for production, not demos.
What I build.
Every solution is scoped to your specific business problem. No generic AI — only purpose-built systems.
Conversational AI & Chatbots
Custom-built AI assistants that understand your business context, handle customer queries, qualify leads, and integrate with your existing tools.
Predictive Analytics
Machine learning models that forecast demand, churn risk, lifetime value, and revenue trends. Built on your data, deployed into your workflow.
Intelligent Automation
Automate repetitive processes with AI that adapts. Document processing, email classification, data extraction, and workflow triggers.
Custom AI Integrations
Connect GPT, Gemini, Claude, or open-source models into your product. API design, prompt engineering, fine-tuning, and cost optimisation.
Recommendation Engines
Content, product, or service recommendations powered by collaborative filtering and contextual signals. Increase engagement and conversion.
AI Workflow Orchestration
Multi-step AI pipelines that chain models, validate outputs, handle errors gracefully, and scale with your usage.
From problem to production.
Discovery & Feasibility
Understand the business problem, evaluate whether AI is the right solution, and identify data requirements.
Architecture & Prototype
Design the system architecture, select the right models, and build a working prototype against real data.
Development & Integration
Full implementation with error handling, monitoring, testing, and integration. Production-grade code.
Deployment & Iteration
Deploy with monitoring, set up feedback loops, measure against KPIs, and iterate based on real usage data.
Every project is scoped individually.
AI projects vary significantly in complexity. You receive a detailed proposal with clear scope, timeline, deliverables, and cost — before any commitment.
Common questions about AI projects
Practical answers to the questions asked before every AI engagement.
It depends on the use case. Conversational AI and workflow automation can often work with pre-trained models and your business rules. Predictive analytics and recommendation engines require your historical data. During discovery, we assess exactly what data you need.
A focused chatbot or automation project: 4–8 weeks. A predictive model with custom training: 8–12 weeks. Complex multi-model systems: 12–16 weeks. Every project starts with a scoped proposal.
Every project includes defined success criteria agreed upfront. If a prototype doesn’t meet those criteria, we pivot the approach before committing to full development.
Yes. Most projects involve integrating AI capabilities into existing products or workflows rather than building standalone AI applications. API-first architecture ensures clean integration.
Data handling, storage, and processing are designed with privacy by default. We can work with on-premise models, private cloud deployments, or API-based solutions. GDPR compliance is built in.
AI systems need monitoring and periodic retraining. The proposal includes a maintenance plan with monitoring dashboards, alert thresholds, and a recommended retraining cadence.
Have a problem that AI could solve?
Tell me about your challenge. I’ll assess feasibility and send you a scoped proposal within 5 business days.
Request a quote →