For large enterprises and regulated organisations

Make AI part of your infrastructure. Not another experiment.

Senior IT leaders design your sovereign AI architecture, take it to production and hand every layer over to your teams, with the governance your board expects.

Scope my AI project Explore the architecture

Founded by members of the brAIn ecosystem Field-tested methods, production-proven tools, a community of practitioners: we recommend brAIn wholeheartedly.Discover brAIn ↗

6layers mastered, from infrastructure to everyday use

8demanding sectors, from public services to defence

4–6weeks to a decision-ready scoping

0black boxes: everything is documented and handed over

01 / 09 Beliefs

A proof of concept takes two weeks. Production is our trade.

Generative AI is not just another tool. It is a new layer of your information system, and it must be designed, secured and operated as one.

AI is a layer of your IT.
It inherits your constraints: identity, data, network, backup. We hold it to the same standard as your ERP.
Production is the only proof.
A demo wins over a room. A system that runs for three years in a regulated group wins over a board.
Sovereignty is designed in.
Hosting, models, reversibility: every choice is made at the architecture stage, never after the contract is signed.
Compliance is an architecture requirement.
The EU AI Act and GDPR are built in from the start. A final audit cannot fix a poorly designed system.
Your autonomy is our success.
The engagement ends when your teams run, evolve and govern the system without us.

02 / 09 Architecture

Six layers. No black box.

For every layer, we design, then we hand over. Select a layer to see what we build and what your teams will own by the end of the engagement.

↑ From infrastructureto everyday use

03 / 09 Services

Four services. One standard: a CIO's.

Every engagement comes with clearly defined deliverables, duration and counterpart.

Interim CIO & fractional CDIO

Your IT department must keep operations running, launch AI and reassure executive management, sometimes with no permanent head in place.

IT leadership and operational continuity
IT and business alignment, budget trade-offs
Digital and AI roadmap prioritised by value
Executive reporting your board can act on

What you getA well-run IT function, a clear roadmap and a board that decides on facts.

Typical duration: 3 to 18 months
Counterpart: CEO, executive committee

Sovereign AI architecture & industrialisation

Your use cases are identified. Now you need a platform that holds up in production, within your security rules.

Process audit and use-case prioritisation
LLM, RAG, LLM wiki and agent design
Production rollout, monitoring and operations
Operating cost model and reversibility plan

What you getA single foundation, reused for every new use case.

Typical duration: 4–6 week scoping, then 8–12 week delivery phases
Counterpart: CIO, CTO, CDO

IT, AI & cybersecurity governance

Regulators, auditors and the board all ask the same questions. You need evidence-backed answers.

ITIL and COBIT frameworks sized for your organisation
EU AI Act, GDPR, ISO 27001 and 42001 compliance
AI use-case register and governance committee
Application portfolio rationalisation and FinOps

What you getAn up-to-date register, controlled risks and documented decisions.

Typical duration: 2 to 6 months
Counterpart: CIO, CISO, DPO, risk management

Transformation programmes & adoption

Several countries, entities and vendors. A programme moves forward when the chain of command is clear.

Multi-country, multi-entity programme leadership
Coordination between IT, business units and vendors
Change management and manager support
Upskilling of internal teams

What you getTeams that use AI, measure its impact and keep improving it.

Typical duration: 6 to 24 months
Counterpart: Programme office, HR, business leaders

04 / 09 The difference

What changes when AI is architected.

Same technology, two very different paths. The gap comes down to architecture, governance and handover.

Stacked AI

Proofs of concept that never reach production
Lock-in to one vendor or one model
Compliance handled at the end of the project
Inference costs discovered too late
Tools added with no overall design
Teams watching their own system from the sidelines

AI architected with CAigencyO

A platform built for operations from day one
Replaceable models and a written reversibility plan
EU AI Act and GDPR built into the design
A cost model validated during scoping
A shared foundation reused for every use case
Trained, autonomous teams, layer by layer

05 / 09 Comparison

Four approaches to AI. Only one keeps your data at home.

Autonomous agent, coding assistant, office AI or sovereign LLM: we compare them on what matters to a risk committee.

Yes, native or custom-builtPartial or configuration-dependentNo

Criterion	Autonomous agentOpenClaw, Hermes	Claude CodeCoding assistant	CopilotFull M365 environment	On-premise LLMZero egress
Risk level for your IT	High	Moderate	Moderate	Controlled
Sovereignty & security
Data never leaves your infrastructure	✕	✕	✕	✓
Runs isolated from the internet (air-gap)	✕	✕	✕	✓
No exfiltration possible, even under prompt injection	✕	✕	✕	✓
Logs and traceability controlled in-house	✕	!	!via Purview	✓
Sandboxed execution by default	✕	✓action approval	✓	✓
No vendor dependency	!open source, no support	✕	✕	✓
EU AI Act and GDPR compliance under your control	✕	!	✓EU Data Boundary	✓
Clear accountability and support	✕	✓	✓	✓your IT team and integrator
Cost independent of usage	✕	!	✓	✓
Capabilities
Full customisation: models, prompts, workflows, interfaces	!ungoverned skills	!MCP, skills	!Copilot Studio	✓
Model chosen and specialised for each use case	✓	✕	✕	✓
Search across internal documents (RAG)	!	!	✓	✓built on your repositories
Respects existing access rights	✕	!	✓	✓built on your directory
Autonomous multi-step tasks	✓	✓	!	✓custom-built agents
Assisted software development	!	✓	✕	✓open-weight code models
Word, Excel, Outlook, Teams integration	✕	✕	✓	!via connectors
Operations
Fine-grained GPU resource management	✕	✕	✕	✓
Tailored resilience: redundancy, DR, service levels	✕	!vendor service availability	!standard Microsoft SLA	✓
Performance independent of vendor quotas	✕	✕	✕	✓
Recommended use	Keep off your IT estate	Technical teams	Company-wide office work	Sovereign foundation for sensitive data

For on-premise, a green tick means the capability is native or custom-built during the engagement. Vendor offerings change quickly: comparison as of September 2026.

Why autonomous agents should stay off your IT estate

They access email, calendars, messaging and local files, creating a privileged environment security teams cannot see. TextCortex ↗
A remote code execution flaw rated 8.8 (CVE-2026-25253), and over a third of marketplace skills exposed to prompt injection. TextCortex ↗
The Dutch data protection authority advises against running such experimental agents on systems handling sensitive or regulated data. TechRadar ↗

Assess your on-premise project

06 / 09 Method

Five stages. A decision at every milestone.

Consulting-grade method, CIO-grade execution. Every stage ends with deliverables and a decision point.

Scoping & audit
Processes, IT, data, maturity. A diagnosis shared with executive management.
Target architecture & roadmap
IT, AI and automation. Budget, milestones, dependencies, risks.
Governance by design
EU AI Act classification, GDPR assessment, access control, traceability.
Rollout & industrialisation
Phased delivery, go-live, monitoring, operations.
Impact & handover
Business indicators, knowledge transfer, long-term ownership.

At every stage

A clear chain of command, explicit trade-offs between time, budget and risk, and change management from day one.

07 / 09 Situations

The situations we handle.

Four common scenarios in large organisations, and how we respond to each.

Your proofs of concept never reach production.

What we do: Pilot audit, shared target architecture, industrialisation of the two or three highest-value cases, operations set-up.
By the end, you own: A shared platform and a method to industrialise the next use cases.

Your data cannot leave your perimeter.

What we do: On-premise or sovereign cloud platform, open-weight models evaluated on your cases, RAG over your internal repositories.
By the end, you own: Running the infrastructure and choosing the models.

The EU AI Act is on your board's agenda.

What we do: Use inventory, risk classification, register, technical documentation, governance committee.
By the end, you own: Assessing any new use case on your own.

Your IT department is in transition.

What we do: Interim leadership, operational stabilisation, IT and AI roadmap, executive reporting.
By the end, you own: A stable organisation and a clear roadmap, ready for what comes next.

Demanding sectors, known from the inside

EnergyDefenceManufacturingLogisticsBanking & insuranceMediaPublic sectorInternational humanitarian

08 / 09 Team

IT veterans. Not newcomers.

CAigencyO brings together CIOs, CTOs, interim IT leaders and senior specialists. They have run information systems, led international programmes and defended budgets in front of executive committees.

IT leadership

Interim CIOs and IT directors. Governance, budgets, vendors, executive reporting.

AI architecture & engineering

LLM, RAG, LLM wikis, agents, automation, integration with existing systems.

Security & compliance

ISO 27001 and 42001, EU AI Act, GDPR, access management, traceability.

Transformation & adoption

Multi-country programmes, change management, role-based training, impact measurement.

When technology gives time back to people, transformation becomes human and lasting.

09 / 09 Partners

You own the client. We deliver the AI.

Consulting firms, IT service companies, integrators, agencies: when your client expects AI in production, we take on the AI layer of the engagement. Under your brand or alongside you.

Three ways to work together

White label

We deliver under your brand. Your client keeps a single point of contact: you.

Joint delivery

We join the project team as the identified AI and architecture experts.

Expert reinforcement

An AI architect or interim CIO strengthens your team through a critical phase.

What we take on

Client AI scoping and audit
LLM, RAG, agent and automation architecture
Go-live, monitoring and operations
EU AI Act, GDPR and ISO 42001 compliance
Training and handover to the client's teams

Our commitments to you

Your client relationship stays yours
No direct solicitation of your clients
Contractual confidentiality from the first conversation
Deliverables and documentation in your branding if you wish

brAIn ecosystem

brAIn members, let's team up on your enterprise contracts.

CAigencyO's founders are members of brAIn, the ecosystem that brings AI practitioners together to share methods, tools and opportunities. We see its value every day, and we carry that spirit forward with its members: you bring the client relationship and your industry expertise, we bring the architecture, the governance and experience with boards facing strict regulatory requirements.

Propose a collaboration Discover brAIn ↗

Co-signed proposals for large enterprises and the public sector
Sovereignty, security and compliance workstreams handled for you
Field experience shared with the community

Become a partner

Tell us about your organisation and your need. We reply within two business days, with a non-disclosure agreement if needed.

FAQ

The questions our clients ask.

Can you work fully on-premise?

Yes. We design on-premise, hybrid or sovereign cloud architectures. The choice depends on data sensitivity, regulatory constraints and your operating capacity.

Will we depend on you after the engagement?

No. Every layer is documented and handed over. Your teams are trained to run, evolve and govern the system. Reversibility is written into the scoping.

Which models do you use?

None by default. We evaluate open-weight and proprietary models on your use cases, weighing quality, inference cost, sovereignty and ease of replacement.

How long until a first result in production?

Scoping takes 4 to 6 weeks. A first production release usually follows within 8 to 12 weeks, depending on your integration and security context.

How do you handle the EU AI Act?

As an architecture requirement. We inventory uses, classify risks, maintain the register and produce the required documentation from the design stage.

Do you replace our internal teams?

No. We strengthen your IT function for as long as needed, then step back. The goal is an autonomous organisation, not a permanent contract.

Do you work with other firms or agencies?

Yes. We work in white label, joint delivery or as expert reinforcement for consulting firms, IT service companies, agencies and members of the brAIn ecosystem. The client relationship stays with our partner.

Do you work internationally?

Yes, in France and abroad, on site or remotely, in French and English.

Contact

Let's talk about your AI architecture.

A first 30-minute conversation to understand your context, constraints and deadlines.

Reply within two business days. Engagements in France and internationally.