AI opportunity sprint
Identify the workflows where AI can create the highest operating leverage, estimate feasibility, and choose the right first MVP or PoC.
AI opportunity assessment AI implementation services AI consulting processAI consultancy for companies
AI consulting that turns business workflows into production systems.
Ferre Torres B.V. helps leadership and technical teams identify where AI creates operating leverage, validate the first MVP or PoC, and scale the systems that prove useful into company infrastructure.
Consulting focus
From AI ambition to one workflow that can be shipped, measured, and scaled.
- AI strategy for companies that need practical implementation, not generic transformation language.
- Workflow discovery to choose where AI can reduce manual coordination, decision latency, or reporting load.
- MVP and PoC scoping with clear success metrics, timelines, users, data sources, and operating constraints.
- Architecture guidance for company brain systems, RAG pipelines, agents, dashboards, and AI-native internal software.
AI-first transformation
Redesign workflows around context, retrieval, automation, dashboards, and human oversight.
Company Brain architecture
Connect documents, tools, metrics, and decision memory into private AI-ready infrastructure.
RAG and agents
Build assistants and workflows that retrieve company context, use tools, and stay governable.
Production path
Start with a narrow MVP or PoC, validate business value, and scale what works.
Engagement profiles
AI consulting services matched to the stage of the company.
MVP and PoC delivery
Build a narrow working system with real users, data, metrics, and constraints so leadership can decide what should move into production.
AI consulting processAI architecture review
Review data sources, RAG design, agent workflows, permissions, dashboards, hosting, monitoring, and the scale path for AI-first software.
AI integration roadmapBest fit
For companies that want AI consulting tied directly to delivery.
- CEOs, founders, COOs, CFOs, and CTOs choosing where AI should enter the operating model.
- Mid-market and enterprise teams with documents, dashboards, approvals, knowledge work, and disconnected tools.
- Teams that want a senior technical partner to move quickly from workshop to working software.
AI consulting questions
Common questions from companies starting AI-first work.
What does AI consultancy for companies include?
It includes selecting the right workflow, defining business value, mapping data and systems, designing the architecture, building the first MVP or PoC, and deciding what should scale into production.
Where should a company start with AI?
Start with one workflow where information, decisions, approvals, or reporting create repeated friction. The best first projects have clear users, accessible data, and a measurable operating outcome.
What is an AI-first transformation?
It means redesigning work so company data, documents, metrics, and decisions flow through AI-ready systems. The goal is not a chatbot beside the process; it is AI inside the process.
What can be built after the first MVP or PoC?
The first validated workflow can become a Company Brain, RAG assistant, agentic workflow, finance intelligence layer, dashboard replacement, or internal AI-native software platform.