You need to launch a service inside an already complex IS
This is not only a product matter. Interfaces, ownership and takeover conditions need to be framed from the start.
New Services, AI & Cyber
New Services, AI & Cyber
From idea to production. We build useful digital services and integrate AI under architectural control. Innovate without losing control.
Our conviction
Why new services so often fail to deliver on their promises
Without rigorous scoping, projects drift
Without structured Go/No-Go checkpoints, projects drag on without delivering measurable value.
Compliance arrives too late
AI Act, GDPR, NIS2: caught up on urgently, they block production releases.
Underestimated integration
Some integrations first seem secondary, then account for most of the overruns.
Our engagement trajectory
1
Scoping
Real value, risks, regulatory constraints
2
Design
User journeys, architecture, technical choices
3
Build
Development, testing, CI/CD, AI integration
4
Go-live
Controlled deployment, team support
5
MCC
Controlled operations over time
Note: At the end of the scoping phase, we may recommend a No-Go if the value or confidence is not there.
From idea to production service
A useful, robust and scalable service: AI as a lever, trust as the foundation.
BEFORE Common situation
- PoC with no future Convincing demo, but no path to real production.
- Groundless development Uncontrolled stack, no product vision, debt from sprint one.
- Experimental AI Model without governance, undetected hallucinations, zero auditability.
- Security as an afterthought Added at the end as a patch, never integrated into the architecture.
AFTER With REELIANT
- Useful service in production From idea to industrialization, with a clear trajectory and milestones.
- Mastered architecture Stack chosen to last, tested, documented, operable by your team.
- AI as a lever LLMOps, agents, automation: AI accelerates without creating hidden debt.
- Cyber integrated from design Security and compliance treated as architectural constraints, not patches.
When to call us
The contexts where good scoping saves time
An AI use case looks promising, but operations remain unclear
Without architecture, guardrails and measurable value, a prototype quickly turns into additional debt.
The main risk sits between build, compliance and RUN
The project may be technically feasible, but not at any cost and not without a clear operating model after go-live.
What we deliver
What should be clear before and during execution
01
Decision-grade scoping
Expected value, assumptions, Go or No-Go criteria, main risks and initial scope stated clearly.
02
Architecture and controls
Technical choices, IS integrations, observability, security, logging and compliance constraints made explicit.
03
A first increment ready for use
A delivered, tested scope that can actually go live, not just a prototype or an isolated demo.
04
An operations handover plan
Runbook, owners, alerting, maintenance and MCC scope. Operations are prepared before the release goes live.
Controlled AI
Integrating AI without losing control
Sovereign RAG architecture
Your data never feeds public model training. Complete isolation, infrastructure under your control.
Guardrails
Filters preventing the model from leaking confidential data or drifting. Bounded, auditable behavior.
LLMOps
Model governance, drift monitoring, update management over time. The model stays under control in production.
Compliance by design
AI Act, GDPR, NIS2 treated as architecture constraints from day one.
What you gain
Shorter time-to-value
Prioritized on what delivers real value. We don't build what won't be used.
Controlled risk
Security and compliance built in from the start, never added after the fact.
Maintainability
Readable, maintainable, interoperable architecture. Your team can take it over independently.
RUN anticipated
Operational handover prepared from the build phase. No "so who maintains this now?"
Proof in production
Useful platforms, integrated cleanly and maintained over time
Build work only counts if it fits the existing system and remains operable after launch.
Energy & Professional Networks
New Extranet and consumer matchmaking platform - Les Professionnels du Gaz
Design and development of the new information system for habitA+, which manages the PG quality programme (Professionnels du Gaz) for 15+ years. Members include GRDF, ENGIE, EDF, Butagaz, Antargaz and emerging biomethane players.
- 10,600 certified companies
- business tools + e-learning
- real-time lead distribution
Research, innovation & tech transfer
SEVille PUI steering platform - Erganeo
Design and development of the SEVille PUI steering platform for Erganeo, the Paris-region SATT involved in the France 2030 programme. The platform helps Erganeo and the founding institutions consolidate data, secure ANR campaigns and monitor the hub through shared indicators.
- Erganeo + 5 founding institutions
- 15,000 rows per campaign
- programme launched in 2024
Frequently asked questions
How do you integrate AI into a critical system without losing control?
By adopting a sovereign RAG architecture (your data never trains public models), guardrails that bound model behaviour, and an LLMOps framework that monitors drift in production.
What is a sovereign RAG architecture?
RAG (Retrieval-Augmented Generation) connects an LLM to your document base without exposing your data. 'Sovereign' means the infrastructure remains under your control: no calls to third-party APIs, complete isolation.
How do you ensure AI Act, GDPR and NIS2 compliance from day one?
By treating them as architecture constraints from the scoping phase: AI risk classification, data minimisation, automated decision logging, access controls,not as a checklist added before go-live.
Why do new service projects so often exceed budget?
Three recurring causes: no clear Go/No-Go milestones, regulatory compliance addressed at the end of the project, and underestimated interfaces with existing systems. Our 5-phase trajectory addresses each of these.
What do you deliver at the end of a digital service or AI scoping phase?
A useful scoping phase must support a launch, an adjustment or a stop decision. We deliver operable objectives, the target architecture, compliance constraints, the scope of the first increment and the go-live plan.
A project to scope?
A well-argued No-Go today is better than an endless project tomorrow. We can discuss it in 30 minutes.
Talk about my project with no commitment