AI consultancy
Workflow selection, business case, roadmap, MVP scope, architecture, and implementation guidance.
AI consultancyCapability statement
AI consulting and implementation capability for European companies.
Ferre Torres B.V. helps companies move from AI pressure to working systems: Company Brain, RAG, agentic workflows, finance intelligence, AI PM assistants, dashboards, and AI-native internal software.
Company summary
Ferre Torres B.V. is the Dutch contracting entity for EU-focused AI delivery.
Legal entity
Ferre Torres B.V., Rotterdam, the Netherlands.
Primary market
European companies that need AI consulting, AI-first software, and GDPR-aware implementation.
Contact
Operating model
Founder-led senior delivery network, scoped around one measurable workflow and production path.
Core capabilities
AI systems that connect to company work instead of sitting beside it.
Company Brain
Private operational memory over documents, metrics, decisions, tools, and workflows.
Company BrainRAG systems
Retrieval quality, source grounding, permissions, evaluation, and production monitoring.
RAG implementationAgentic workflows
Tool use, routing, approvals, escalation, human review, and audit trails.
Agentic AI workflowsFinance intelligence
Margin movement, pricing signals, forecast changes, anomalies, dashboards, and reporting automation.
Finance intelligenceAI-native software
Internal tools, workflow apps, dashboards, AI PM assistants, and software-backed expert work.
AI software engineeringBuyer fit
Designed for leaders who need AI to become operating leverage.
CEOOperating plan
Choose where AI should change work first.
Prioritize high-value workflows, validate impact, and decide what becomes company infrastructure.
CEO routeCFOFinance intelligence
Turn reporting into decision support.
Connect metrics, dashboards, and finance workflows to explanations, alerts, and action paths.
CFO routeCTOArchitecture
Make the production path explicit.
Design data access, retrieval, evaluations, monitoring, security posture, and rollout ownership.
CTO routeEngagement routes
Start at the level of clarity the company already has.
- AI opportunity assessment: when many AI ideas exist but the first build is unclear.
- AI integration roadmap: when workflow priorities exist but architecture and sequencing need structure.
- AI MVP or PoC: when one workflow, owner, users, and data path are ready to validate.
- AI architecture review: when an AI prototype or plan needs a production path.
- Guided demo: when stakeholders need to align around what the system could look like.
- Enterprise AI RFP checklist: when procurement or leadership needs clearer partner evaluation criteria.
Governance posture
Useful AI systems need control points from the beginning.
Data boundaries
Scope data sources, hosting, residency, access, and sensitive information before implementation.
Permissions
Design role-aware retrieval and tool access so AI does not expose inappropriate context.
Human review
Place approval gates where business risk, client communication, or financial impact matters.
Evidence
Use citations, audit trails, evaluation examples, and monitoring to make behavior reviewable.
Next step
Use this capability statement to start a concrete AI discussion.
Bring one workflow, the business owner, target users, data sources, and what the first MVP should prove.