AI consultancy for companies in Europe
We help leadership teams turn company knowledge, workflows, and data into production AI systems. Start with one useful proof point, then scale it into governed AI infrastructure.
Start here
Start from the buyer role, the solution surface, or the integration roadmap. The first goal is a clear workflow, a measurable proof point, and a build path that can become production infrastructure.
Frame the same AI core for CEO leverage, CFO intelligence, or CTO architecture.
02 Explore AI solutionsSee Company Brain, RAG, finance intelligence, AI PM, and agentic workflow previews.
03 Plan AI integrationMap data, tools, permissions, MVP sequencing, rollout, and production ownership.
Built for decision-makers
Select the workflows where AI changes speed, cost, quality, or market response. Start with one proof point, then scale the operating layer.
Build finance assistants and dashboards that explain margin movement, pricing opportunities, cash pressure, anomalies, and forecast changes.
Design RAG, agents, evaluations, permissions, observability, and integration paths around the systems your teams already operate.
AI consulting and implementation
Strategy, workflow selection, MVP scoping, architecture decisions, and senior implementation guidance for companies that need AI to change how work gets done.
A central intelligence layer that ingests documents, systems, metrics, tickets, meetings, and knowledge so teams can query, automate, and govern decisions from one trusted core.
Retrieval, ranking, orchestration, tool use, and evaluations for assistants that can work with company data and existing operational tools.
SaaS-grade finance dashboards and assistants that explain cash, margin, revenue, forecasts, and anomalies without forcing every decision through static BI reports.
Productized workflows, internal tools, and expert replicas that turn repeatable expert work into software-backed services with human oversight.
AI consulting focus areas
Implementation partner for companies that need working AI systems, not only strategy.
AI implementation servicesAI consultancy for Dutch companies that need a European delivery partner.
AI consultancy NetherlandsRotterdam-registered Dutch B.V. for local AI consulting and implementation.
AI consultancy RotterdamAI implementation for Amsterdam companies moving from pilots to production systems.
AI consultancy AmsterdamEnterprise AI consulting tied to MVPs, production systems, and governed rollout.
AI consulting for enterprisesAI-first transformation, RAG, agents, and internal software for European teams.
AI consultancy EuropeAI-first transformation in the Netherlands, starting from one measurable workflow.
AI transformation NetherlandsRetrieval systems over company documents, dashboards, tickets, and tools.
RAG implementation NetherlandsRAG consulting for source-grounded AI assistants over private company data.
RAG consultant NetherlandsFinance intelligence, reporting automation, dashboards, and pricing workflows.
AI finance dashboardsAI workflows with privacy, permissions, traceability, and human oversight.
AI for regulated companies AI security and GDPRPreview the systems that can become demos, MVPs, and internal platforms.
AI solution previewsAI agents for controlled tool use, routing, reconciliation, and escalation.
Agentic AI workflowsAI automation consulting for governed workflows, reporting, agents, and tool use.
AI automation consulting EuropeGuided demo previews
These pages use synthetic examples. They make architecture, value, and MVP scope easier to discuss before a guided walkthrough with your workflow context.
View the full AI demo galleryPrivate operational memory, source-grounded answers, and decision context.
View guided previewRetrieval quality, source coverage, permissions, and production readiness.
View guided previewMargin movement, pricing signals, anomaly detection, and explanations.
View guided previewRisks, blockers, decisions, owners, and status synthesis.
View guided previewTool use, routing, approvals, exceptions, and audit trails.
View guided previewEnterprise outcomes
Production systems with ownership, monitoring, evaluation, and measurable operating impact.
AI layers that connect to existing ERPs, CRMs, data stores, email, documents, and dashboards.
Automated reporting, document handling, task routing, finance intelligence, and workflow execution.
Proof-of-value systems that can become internal platforms, not isolated demos that die after the pilot.
Engagement model
Engagements can start with a narrow MVP or proof-of-concept around one workflow where AI changes the economics. If the system proves useful with real users, data, and constraints, the team expands it into production infrastructure.
AI opportunity assessment AI integration roadmap AI consulting process AI MVP and PoC developmentChoose one high-value workflow with clear data, owners, risks, and decision loops.
Ship a working MVP or PoC with RAG, dashboards, assistants, and governance where needed.
Measure usefulness, speed, accuracy, adoption, and workflow fit before committing to the full build.
Turn the working system into shared infrastructure, reusable assistants, or internal SaaS.
Why Ferre Torres B.V.
Ferre Torres B.V. combines PhD-level modelling, senior software engineering, cloud architecture, and agentic AI delivery through a founder-led senior delivery network.
Experience spans regulated enterprise environments, pharma, energy, automotive data platforms, clinical AI, finance workflows, and founder-led companies under pressure to move quickly.
Ferre Torres B.V. is the Dutch contracting entity for clients that need GDPR-aware architecture, European delivery, and senior technical ownership from discovery through implementation.
How AI delivery is measured AI capability statement AI readiness checklist AI delivery model AI security and GDPR postureBest fit
CEOs, founders, COOs, CFOs, and CTOs who need AI to change how work gets done.
Mid-market, enterprise, and high-growth B2B teams with complex data and workflows.
Operations, finance, knowledge work, project delivery, compliance, and internal SaaS.
Delivery experience
Experience spans pharma, energy, finance workflows, clinical AI, automotive data platforms, internal tools, and founder-led companies that need to move from idea to working system quickly.
AI consulting questions
Start with one high-value workflow where the users, data, bottleneck, and business result are clear enough to validate quickly.
Yes. A focused MVP or PoC is often the right way to test usefulness, accuracy, workflow fit, and adoption before scaling the system.
Company Brain platforms, RAG assistants, agentic workflows, finance dashboards, project intelligence, reporting automation, and AI-native tools.
Not by default. The usual goal is to connect current systems and add an AI-ready operating layer around data, workflows, and decisions.
Contact
Choose the closest route and your email client opens with the right context. Keep it short: company, role, workflow, and what the first AI system should prove.
Ferre Torres B.V. is available for selective European engagements, partner builds, and executive AI transformation guidance.
For AI strategy, Company Brain, RAG, agents, dashboards, or internal AI software.
02 Request a guided demoFor buyers who want to see what can be built before scoping a project.
03 Start technical reviewFor CTOs and technical teams reviewing RAG, agents, evaluations, permissions, or rollout.
Legal entity: Ferre Torres B.V. Registered office: Rotterdam, the Netherlands. KvK: 42067229. Privacy.