AI project management
What separates an AI project that works from one that gets abandoned isn't the technology — it's how the project is managed. We guide AI projects from design to production, drawing on 25 years at global multinationals.
Why AI projects fail
Most corporate AI projects never reach production or don't deliver the expected value. The reasons aren't technological: they come down to management, misalignment between business and technology, and poorly calibrated expectations.
At AIRES – AI Research & Engineering Studio, we've seen this pattern repeat itself at multinationals, midsize companies, and startups. The answer isn't more technology — it's better project management, with a methodology built specifically for AI.
What we do
We turn business goals into achievable technical specifications. We set KPIs, success criteria, and project boundaries before a single line of code is written.
We design the technical architecture based on cost-benefit, not technology trends — a minimum viable stack that can grow.
We coordinate technical profiles (data scientists, ML engineers, developers) with business stakeholders, translating constantly in both directions.
An agile methodology adapted to AI projects: two-week sprints, continuous demos, and course corrections based on real results.
We manage deployment, production model monitoring, contingency plans, and knowledge transfer to your internal team.
Technical and business documentation, decision logs, regulatory compliance, and model audits.
Projects we work on
- Prediction and forecasting systems — demand, churn, fraud, predictive maintenance
- Generative AI for business — RAG, chatbots on your own data, specialized assistants
- Process automation — data extraction, document classification, n8n/Make workflows
- Computer vision — quality control, anomaly detection, industrial OCR
- Data platforms — data pipelines, data warehouses, BI dashboards
- AI agents — automating complex tasks with LLMs and external tools
Engagement models
We act as your company's AI project director. Weekly sessions plus ongoing availability. Ideal for 3–12 month projects.
For AI projects in trouble: a situation assessment, a recovery plan, and hands-on support until the project is stable.
Your team runs the project; we review and guide. Weekly two-hour sessions plus an asynchronous channel for questions.