01
Initial trust assessment
Snapshot of risks, technical surface, vulnerabilities and governance points to address first.
TCM steering
RUN, security, quality and compliance piloted with explicit criteria and readable governance.
Operations observation
A system with no apparent incident can hide unpatched CVEs, obsolete dependencies and invisible configuration debt.
Incidents are rare, yet debt, patches, changes and recovery points are no longer steered calmly.
AI Act, GDPR, NIS2 evolve continuously. Without active review or a designated owner, a compliance snapshot ages in a few months.
RUN eats build capacity, security topics stay queued, prioritisation happens under pressure.
Operations discipline
Continuous supervision, incident handling, documented escalation. SLAs defined and measured. Impact drives priority, not ticket number.
Ongoing watch, CVE management, progressive hardening. Each fix documented, verified and capitalised.
AI Act, GDPR, NIS2 continuously, not as an annual snapshot. Dedicated lead, traceability by default, audit-ready at any moment.
Backlog prioritised by real impact, regular reviews, action plans tracked. The system improves instead of stagnating.
What we deliver
01
Snapshot of risks, technical surface, vulnerabilities and governance points to address first.
02
SLAs, security, compliance, backlog, incidents and arbitrations tracked at a clear cadence, readable by business and IT teams.
03
Fixes, hardening, technical debt and evolvability topics ordered by real impact, not by background noise.
04
Escalation, recovery, updates, supervision and decisions traced. The system becomes more operable, not just more monitored.
Operations
Performance degradations are detected before they impact users. This is the minimum operating condition for AI in production.
Monitoring of models over time. Quality indicators measured continuously, alerts before business impact.
Impact control during model evolutions. No silent regression after an update.
Behaviour filter and anomaly tracking. Guardrails stay effective over time.
AI Act, GDPR, NIS2 continuously, not as annual snapshot. Audit-ready at any moment.
Proof in production
The value of TCM is measured in continuity, readability and the ability to absorb change without crisis.
Higher Education & Research
Multi-year framework contract won in 2025 for the IT department of ENS Paris-Saclay (Université Paris-Saclay). REELIANT runs Lot 1 (Application Engineering): MCO of the ERP and ENS-specific business applications, development of new services and APIs, DevOps toolchain, student enrolment management. Scope covered over time, without changing the team at every evolution.
An operations contract structured around 4 axes : availability (measured SLAs), security (patches, CVE), compliance (GDPR, AI Act, NIS2 continuously) and evolvability. Unlike classic managed services, TCM includes ongoing compliance responsibility.
Through an LLMOps framework that continuously measures response quality indicators, detects regressions after each model update and triggers alerts before drift impacts users.
Compliance is not a state but a process : regular reviews, decision traceability, up-to-date processing register, scheduled internal audits. We designate a dedicated compliance lead, always ready for an audit.
No. Unpatched CVEs, obsolete dependencies or invisible configuration debt can coexist with a complete absence of incidents — until they don't. TCM supervision detects these silent drifts.
A TCM takeover must make the system readable. We deliver a risk inventory, governance indicators, a prioritised remediation backlog, operational procedures and a shared governance framework with your teams.
Heavy legacy or AI modules in production : a first diagnostic can be set up quickly.
Assess my system's trust level