The CIATA process

Do you want us to teach your team specific AI topics, or should we build a custom solution for you? We can do both. CIATA follows a structured approach to ensure we ship real business value:

Understanding your business

Immersion with your team: We start with a deep dive into your business to uncover areas where AI can unlock growth. Together we look at data availability, technical infrastructure, and team strengths. That analysis reveals where CIATA can help you fully realize the potential of modern AI.

Data exploration: We analyze your data to understand the value of potential new products and predict the impact of new system components.

Structured proposal: Our assessment leads to a proposal with clearly defined advisory and delivery components that align with your needs. Each module follows a transparent structure with goals, milestones, and deliverables.

Core services

Data analysis and empirical modeling: We analyze your data and develop models that predict the impact of new system components. That often means formalizing domain knowledge together with your experts.

Prototype development: We focus on products with AI at their core. We design models and systems tailored to your business needs, grounded in recent research and best practices.

Training and HR support: We can train your team to extend the systems we build. We also offer workshops that match your needs or help you identify the right hires while integrating a new AI system.

All-inclusive

Evaluation and explainability: Rigorous evaluation is a core part of every CIATA engagement. We ensure assessments are transparent, reproducible, and reflective of production. Explaining how the model behaves - and how it responds to changing inputs - is part of the deliverable.

Documentation: Communicating AI-enabled products to your team, customers, and stakeholders requires clear documentation. Every project ships with detailed docs to maximize reproducibility and understanding.

Process integration and operations

Deployment: AI systems often need dedicated infrastructure to run reliably at scale. We help deploy the models and integrate them into your processes.

Monitoring and maintenance: Markets change and data drifts. We set up monitoring to detect data shifts and ensure models continue to do what they were designed to do.