Enterprise as a Service · AI Governance & Compliance Platform

The new language of AI in your enterprise

CloudIA isn't just another assistant. It's the governance, traceability and operational control layer for enterprise AI systems built on third-party GPAI models — with your data in your infrastructure, full sovereignty and a framework adaptable to your organization's methodology.

EaaS
Enterprise as a Service
MCPs
Enterprise connectors
100%
Data sovereignty
Mission

Offer companies a viable solution between rigid SaaS and costly ERP, giving them an Enterprise as a Service platform with enterprise AI where they own their data, their processes and their pace.

Vision

Establish Enterprise as a Service with Enterprise AI as the natural category for building business software in Europe — shifting the default choice away from SAP, Salesforce and traditional consulting, towards adaptable, sovereign and intelligent platforms.

Our values

Customer sovereignty

Data, infrastructure and knowledge belong to the customer. Always.

Measurable agility

Weeks, not years. Time-to-market is our KPI.

Governed AI

Auth, 2FA, traceability and multi-model by default.

Technical transparency

The customer understands and can maintain everything we build.

No lock-in

Our only loyalty is the result. You leave with everything if you no longer need us.

What is CloudIA?

An enterprise AI platform that connects generative models with your systems, data and processes — operating under your rules, not the model provider's. AI as a governed organizational process, not an individual tool.

Generative AI

Document generation, analysis, reports, code and content from your company's real context.

Agentic AI

Autonomous agents that execute complex tasks: workflows, approvals, follow-ups and decision-making.

Enterprise MCPs

Connectors that let AI interact with CRM, ERP, HR, documentation and any client system.

Data sovereignty

AI works on client data in their own cloud infrastructure (Google Cloud or AWS). No leaks.

Client-extensible

Create your own agents, MCPs and workflows. CloudIA is an open platform, not a black box.

Multi-cloud

Deploy on Google Cloud or AWS. No vendor lock-in. Your infrastructure, your control.

The 4 pillars of the platform

CloudIA is not a standalone piece. It is the AI layer on top of a system that structures the entire operation: business documentation, development and team capability building.

Pillar 1

CLOUD Documentum

The new language of AI in the business

Structures across three areas — business, development and production — the documentary elements the organization centralizes in the platform: processes, sub-processes, functional requirements, acceptance criteria, operational manuals. Data is always owned by the customer. What is structured here is what the AI can understand, reason about and operate on.

Pillar 2

CLOUD Development

The new language of AI in development

Structures every project: development units, functional modules, libraries, APIs and data models — from a technical perspective, without ever touching source code. Strategic and planning AI accelerates because it works on a curated representation of the system, not on thousands of files.

AI layer

CloudIA

Enterprise AI over MCPs

Connects any LLM — proprietary or third-party — with the information structured in Documentum and Development. Authentication, 2FA and traceability by default. Multi-model: no lock-in to a single vendor or stack.

Adoption

CLOUD Academy

Knowledge that stays

Internal team capability building with courses, content and assessments. The model's knowledge is transferred in a structured and traceable way — adoption does not depend on specific individuals.

Enterprise as a Service

CloudIA is the AI layer on top of a complete EaaS platform: it integrates teams, automates processes and governs data in your own infrastructure.

Integrate teams and systems

A single intelligent access point for the entire organization: HR, finance, sales, support, documentation. AI connects people with information seamlessly.

Automate processes

CloudIA agents execute real business tasks: send communications, generate reports, manage approvals and escalate incidents.

Govern your data

Full traceability of every AI action. Audit, granular permissions and regulatory compliance (GDPR, ISO 27001) built in.

6+
Enterprise MCPs
100%
Data in your infrastructure
24/7
Active autonomous agents
0
Data shared with third parties

CloudIA vs other enterprise AI solutions

ChatGPT Enterprise / Copilot
CloudIA
Scope
Generic conversational assistant
Agentic AI platform integrated into real processes
Data
Data in vendor's infrastructure
Data in client's infrastructure (GCP / AWS)
Customization
Prompts and limited configuration
Client-owned agents, MCPs and workflows
Agents
Vendor-predefined actions
Configurable autonomous agents that execute real tasks
Integration
Generic APIs, marketplace plugins
Native MCPs: CRM, ERP, HR, documentation, channels
Control
Limited to vendor's dashboard
Full control: audit, permissions, traceability, GDPR
Deployment
Vendor SaaS, no on-premise option
In your cloud (GCP / AWS), supported by CLOUDFRAMEWORK
An AI assistant answers questions. CloudIA executes real business processes with your data, in your infrastructure and under your control.

How we work with you

A phased engagement that reduces entry risk: we begin by understanding your reality before proposing changes.

Phase 1

Diagnostic

We understand your methodology, stack, technical culture and roadmap. We identify which parts of our experience are transferable and where the fit requires specific adaptation.

2–3 weeks
Phase 2

Framework co-design

We adapt the three levels to your reality. Together we define what is documented, how and where. We agree on AI usage policies, data governance and human review criteria.

3–4 weeks
Phase 3

Hackathon / pilot

We apply the framework to a real case chosen with you. Business, planning and implementation teams work together. Tangible result and gaps detected in real time.

2–4 weeks
Phase 4

Extension and oversight

Once validated, the framework extends to more teams and projects. We establish oversight points — also AI-powered — to sustain standards as adoption grows.

Ongoing
The diagnostic (Phase 1) is a closed deliverable. If you decide not to continue, you keep the report regardless.

CloudIA in action

Real use cases of Generative and Agentic AI applied to business processes.

Document generation

Commercial proposals, reports, contracts and communications auto-generated from CRM data and internal documentation.

Process automation

Intelligent workflows that execute approvals, escalate incidents, send notifications and update systems without manual intervention.

Smart search

Natural language queries about any organizational data: policies, contracts, metrics, project status, client history.

Analytics & prediction

Pattern detection, early warnings and recommendations based on continuous analysis of operational business data.

Multichannel communication

Agents that communicate via email, WhatsApp, push notifications and internal alerts, adapting the channel to context and recipient.

Governance & compliance

Every AI action is logged. Full audit trail, role-based permissions, GDPR compliance and total data control.

Whitepapers

Three complementary documents on the CloudIA + CLOUD Development model and how we apply it in real organizations — from the platform vision to AI Act compliance, co-authored with LAWORATORY as our legal partner.

May 2026

CLOUD Development + CloudIA: Generative AI as a governed enterprise process

EaaS platform and engagement service that start from a diagnostic of your reality to adapt — not impose — an AI-assisted development framework. For CTOs and technology teams.

Read time: ~15 min · Self-contained HTML
May 2026 · Broad EU compliance

Enterprise AI in Europe: how to comply with the AI Act and the rest without compliance blocking your progress

Broad multi-regulation view of European AI compliance. Covers AI Act, GDPR, NIS2, DORA, sector-specific rules and the technical substrate needed to face an inspector. 8 obligations, risk classification and Compliance-by-Design.

Read time: ~20 min · Spanish · Self-contained HTML
May 2026 · Co-authored CF + LAWORATORY

How to build governable AI systems under the EU AI Act

Joint white paper CLOUDFRAMEWORK + LAWORATORY (Óscar López). 14 chapters focused on the AI Act: shared responsibility model, lifecycle governance, third-party GPAI, evidence generation for audit and a clear regulatory disclaimer. Deep legal-technical focus.

Reading: ~25 min · Self-contained HTML

How we get started

Three concrete steps to start the engagement — no long contracts, no multi-year lock-ins.

1

Platform contract and initial configuration

Scope of CloudIA + CLOUD Development is closed. Service terms are signed. Base configuration: tenants, environments, identity, integration with your infrastructure and security policies.

2

Team assignment and 3-month plan

CLOUDFRAMEWORK team assigned: lead consultant, technical leads and AI references. Sessions, pilot milestones and review checkpoints planned for the next three months.

3

Continuity decision

Informed decision: expand services (more cases, more teams, ongoing support) or end the engagement because your organization already has autonomy to keep moving forward. Success also means you stop needing us.

Exit principle: what gets built stays in your organization — documentation, processes, data models, code and knowledge. The platform is Enterprise as a Service, not a dependent service.

Ready for a diagnostic?

A 60–90 minute initial session with your technical team. No commitment, no sales decks — a technical, honest and useful conversation to evaluate whether the next step makes sense.

Schedule a session

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