AI delivery model

Founder-led AI delivery with a senior implementation network.

Ferre Torres B.V. is structured for selective B2B AI engagements where the buyer needs senior technical ownership, fast MVP delivery, and a credible path from one workflow to production infrastructure.

Start an AI project discussion Capability statement RFP checklist Enterprise AI consulting MVP and PoC path

How delivery is staffed

Small senior teams around one measurable workflow.

Engagements are scoped around the business result, data access, risk, and implementation speed. The public site keeps collaborator details private unless a specific engagement requires named profiles during procurement.

Accountable AI lead

Founder-led technical ownership across scope, architecture, workflow design, and senior stakeholder communication.

AI and data architecture

RAG, vector search, permissions, evaluations, orchestration, monitoring, and system integration.

Software delivery

AI-native internal tools, dashboards, workflow apps, APIs, automations, and production-ready user interfaces.

Workflow expertise

Business-side process mapping for finance, operations, knowledge work, project delivery, and regulated environments.

Security and governance

GDPR-aware design, human review points, audit trails, access control, hosting constraints, and rollout posture.

Scale support

When the MVP works, the delivery network can expand around engineering, data, UX, integrations, and ongoing ownership.

Buyer control

What companies should see during the engagement.

A named business owner, technical owner, target user group, and decision metric before building starts.
A narrow MVP or PoC plan that separates the first proof point from the larger transformation.
Architecture decisions documented around data sources, permissions, hosting, evaluations, and production readiness.
Clear scale criteria: what must be true before the company invests in a broader AI platform or internal product.

Delivery pods

Different buyers need different delivery emphasis.

CEO Transformation

Operating roadmap plus visible proof.

Prioritize one workflow, prove business impact, then decide whether it becomes reusable company infrastructure.

AI opportunity selection
MVP outcome framing
Scale decision support

AI consulting for CEOs

CFO Finance systems

Dashboards that explain movement.

Connect data, metrics, and finance workflows so AI can explain anomalies, pricing signals, margin changes, and follow-up actions.

Finance intelligence
Reporting automation
Dynamic metrics

AI consulting for CFOs

CTO Architecture

AI systems that fit existing controls.

Design the retrieval, agent, evaluation, monitoring, and deployment paths before the MVP becomes production software.

RAG and agents
Evaluation harnesses
Security posture

AI consulting for CTOs

Boundaries

Selective capacity, explicit scope, no inflated delivery claims.

Named collaborator profiles can be introduced during scoping when required by procurement or project governance.
Delivery capacity is matched to the workflow instead of presenting a generic consultancy bench.
Client names, logos, quantified outcomes, and screenshots are not published without explicit approval.
Legal, regulatory, and certification claims are not made unless they are specifically approved and documented.

Proof and measurement AI security and GDPR posture

Next step

Bring the workflow, the owner, and the constraint.

Ferre Torres B.V. can scope the first delivery pod around the business outcome, data sources, technical constraints, and MVP proof point.

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