AI as capability, not as promise. 87% of AI projects never make it past pilot (Gartner) — we deliver the ones that hold.
Founded by Dr. Youssef TRARDI — PhD, AI Capability Architect.
The real problem
Prototypes in silos. Nothing connects to your data, processes, or security. 74% of companies fail to scale AI (MIT Sloan).
The demo was flawless. In your stack, under real constraints, it collapses. Average cost of a failed AI pilot: $500K–$2M (Accenture).
Six months after deployment, your teams still work the old way. Only 23% of AI deployments reach real adoption (McKinsey).
Sources·Gartner 2024 · MIT Sloan 2023 · Accenture 2024 · McKinsey 2024
Three practices across the AI system lifecycle
One house, three disciplines under the TRARDI Group roof — each answering a distinct question about AI systems in the real world.
Audit, assurance, and governance of AI systems
Independent assessment of AI systems in operation — architecture, controls, evidence, and defensibility against European regulatory obligations.
Question it answers
Does this system hold?
Build & Deploy
Design, build, deploy AI systems that survive real enterprise constraints — security, governance, adoption.
Question it answers
How do we build it right?
Train & Adopt
Institutionalize AI capability — executive briefings, team workshops, measured adoption programs on your real documents.
Question it answers
How do we make it stick?
What we do
An AI that holds in production is an AI that is governed.
Build & Deploy
From business need to production AI system — architecture, integration, governance. Not a demo: a system used day after day.
Typical engagement
6–16 weeks · From audit to measured production.
Train & Adopt
Leaders, managers, and teams capable of using and governing AI day to day. Not a course: capability built on your real documents.
Typical engagement
½ day to 12 weeks · From briefing to adoption.
The MorAIlity Operating Model
The model is not the architecture. Companies with structured adoption programs see 2.5x more ROI (McKinsey) — our operating model integrates build and adoption from day 1.
TRARDI Impact Score™
Scores every use case across 5 axes: business impact, data readiness, feasibility, adoption risk, governance complexity.
Adoption Velocity Index™
Measures real adoption: active users, task completion, time-to-autonomy. Not vanity metrics — operational proof.
Map processes, tools, data maturity, and friction points. Understand before acting.
Deliverable: AI Readiness Report + TRARDI Impact Score™ on every use case.
1–2 weeks
Separate real opportunities from noise. Prioritize by impact, feasibility, and urgency.
Deliverable: Prioritized roadmap with go/no-go for every use case.
1 week
Build the first functional system on a controlled scope. Validate with real users on real data.
Deliverable: Working prototype + technical architecture document.
3–6 weeks
Connect the system to your existing stack. Secure, govern, and industrialize end-to-end.
Deliverable: Production-ready system + governance framework.
2–4 weeks
Map processes, tools, data maturity, and friction points. Understand before acting.
Deliverable: AI Readiness Report + TRARDI Impact Score™ on every use case.
1–2 weeks
Separate real opportunities from noise. Prioritize by impact, feasibility, and urgency.
Deliverable: Prioritized roadmap with go/no-go for every use case.
1 week
Build the first functional system on a controlled scope. Validate with real users on real data.
Deliverable: Working prototype + technical architecture document.
3–6 weeks
Connect the system to your existing stack. Secure, govern, and industrialize end-to-end.
Deliverable: Production-ready system + governance framework.
2–4 weeks
Train your teams on the deployed system. Measure real usage with Adoption Velocity Index™.
Deliverable: Training materials + live adoption dashboard.
2–6 weeks
Monitor performance, iterate, expand. Build internal autonomy over time, quarter after quarter.
Deliverable: KPI dashboard + quarterly review ritual + capability transfer plan.
Ongoing
Train your teams on the deployed system. Measure real usage with Adoption Velocity Index™.
Deliverable: Training materials + live adoption dashboard.
2–6 weeks
Monitor performance, iterate, expand. Build internal autonomy over time, quarter after quarter.
Deliverable: KPI dashboard + quarterly review ritual + capability transfer plan.
Ongoing
Most projects fail between deployment and adoption. TRARDI Group exists so that yours does not.
Build & Deploy
We assess your processes, data, and maturity, then tell you where to start and what to avoid.
For: C-level, transformation leads, CTO/CDO
Output: AI Readiness Report with scored use cases. 1–2 weeks.
Systems that query your knowledge base and return sourced answers in seconds.
For: Legal, compliance, knowledge-heavy ops
Output: Production document assistant connected to your corpus.
Agents that qualify, compare, synthesize, and route — inside your existing tools.
For: Operations, procurement, HR, finance
Output: Deployed agents connected to your CRM, ERP, or docs.
On-premise, hybrid, or private cloud AI environments. No compromise on governance.
For: Finance, health, defense, public sector
Output: Deployed AI stack with security framework and audit trail.
Train & Adopt
Half-day for boards and C-level. Frame AI investment, avoid vendor traps.
Duration: 3–4 hours
Group: 5–15 executives
Output: Decision framework, prioritization matrix, risk map.
Hands-on sessions on your real documents. Your team leaves with working AI routines.
Duration: 1–3 days
Group: 8–20 people
Output: Configured workflows, structured prompts, reusable templates.
Sustained capability building over weeks. AI practices embedded in daily operations, adoption measured.
Duration: 4–12 weeks
Group: Full teams
Output: Adoption dashboard, trained team leads, internal playbook.
This is not a Coursera course. Every session uses your documents, your processes, your tools.
Proprietary systems
Three multi-agent platforms built in-house. Not product theater — evidence our delivery discipline exists in real systems, not only in consulting language.
Autonomous AI recruitment pipeline
Five specialized agents cover the full hiring loop: they read the business need, draft the job description, rank incoming CVs, run autonomous interviews, and score candidates on three axes — all while learning from every hire.
less time per hire
match quality
candidate response
interview cost cut
Multi-agent meeting intelligence
Ten specialized agents turn raw meeting audio into structured decisions — diarization, extraction, synthesis, QA — all under SLA. Deployed on-premise or in a private cloud with a full audit trail.
less time writing minutes
action precision
anti-hallucination
SLA uptime
Cost-first AI intelligence watch
A Radar-and-Scalpel architecture: a cheap scanner sweeps every 30 minutes and only escalates to expensive deep analysis when content crosses a relevance threshold. Cost-first, intelligence-second.
for 10 000 articles analyzed
relevance on priorities
weekly maintenance
uptime, no babysitting
Every TRARDI engagement is powered by the same discipline it takes to architect three multi-agent AI platforms in-house.
Team
5 experts, 3 proprietary platforms, 100% of the chain internalized — from audit to measured adoption.
Execution layer
For large-scale deployments — vetted data engineers, ML infrastructure specialists, and DevOps operating under our architecture and governance standards.
Why TRARDI Group
A consultancy delivers a deck. A freelancer delivers a prototype. We deliver the whole system, adopted, measured.
Capability
Big consultancies
Accenture, McKinsey
SaaS vendors
Off-the-shelf AI
Freelancers
Upwork, Toptal
Online courses
Udemy, Coursera
TRARDI Group
The whole system
AI strategy & discovery
Custom build on your stack
Production deployment
Governance & security
Team training on your data
Measured adoption
Stays until it runs
Every other option leaves you one piece short.
TRARDI is the one that makes it run.
Our stance
Data sovereignty
Your data never leaves your stack without written consent. On-premise, hybrid, or private cloud — your call.
Aligned withNIS2 Directive · Art. 21
No vendor lock-in
Everything we build, you can run without us. Full IP transfer on delivery — code, weights, runbook.
Explainability by design
Every agent decision is traced and auditable. If we can't explain a call, we don't ship it.
Aligned withAI Act · Art. 13·ISO/IEC 42001 · clause 7.4
Frontier models only
We use frontier models only. No cheap fallbacks, no “good enough” shortcuts, no models that compromise the outcome to save margin.
Humans in charge
AI assists decisions — it never replaces accountability. Every critical loop has a human signature.
No dark patterns
No hidden fees, no auto-renew, no lock-in contracts. You cancel any time, you keep everything you paid for.
Your data never leaves your stack without written consent. On-premise, hybrid, or private cloud — your call.
Aligned withNIS2 Directive · Art. 21
Everything we build, you can run without us. Full IP transfer on delivery — code, weights, runbook.
Every agent decision is traced and auditable. If we can't explain a call, we don't ship it.
Aligned withAI Act · Art. 13·ISO/IEC 42001 · clause 7.4
We use frontier models only. No cheap fallbacks, no “good enough” shortcuts, no models that compromise the outcome to save margin.
AI assists decisions — it never replaces accountability. Every critical loop has a human signature.
No hidden fees, no auto-renew, no lock-in contracts. You cancel any time, you keep everything you paid for.
Engagement catalog
Pick where to start. Every engagement plugs into the next — or stands alone.
Every engagement starts with a 30-minute intro call. Request yours →
Weighing your options?vs. consulting firms·vs. freelance·vs. in-house team
FAQ
Traditional firms stop at the deck. We design, build, deploy, and measure adoption — same team, end to end. We also run three proprietary AI platforms (Talent360, SyncAgent Pro, Praxis), so the discipline we teach is the one we use every day.
Yes. Most engagements start with a 1–2 week fixed-price AI Readiness Audit. You get a scored roadmap with a go/no-go per use case. No follow-on commitment.
Yes. We design on-premise, hybrid, or private-cloud AI environments for regulated industries. Every engagement includes a signed DPA, and your data never leaves your stack without written consent. TRARDI GROUP is a French SARL, based in Paris.
A mandatory adoption program — we don't leave systems unused. Then an optional governance retainer where we monitor, iterate, and progressively transfer ownership to your team. The goal is your autonomy.
Frontier models only — OpenAI, Anthropic, and custom fine-tuned stacks when the case demands it. We never compromise on model quality to save margin. Infrastructure on your stack, Kubernetes, vector stores, and an MLOps pipeline you can audit.
You do. Every engagement ships with full IP transfer: source code, model weights, configuration, documentation, operational playbook. We are not a SaaS vendor — we are the team that makes sure your system runs without us.
No — different regimes. Our public website runs on standard web infrastructure (Vercel, Neon, Resend) to handle lead forms and a small amount of contact data, governed by our Privacy Policy. Client production environments are a different architecture entirely: designed on-prem, hybrid, or private cloud in your stack, under a signed DPA, with no data export. Marketing infrastructure ≠ client infrastructure.
Yes, as readiness assessment and gap analysis — identifying where your AI systems fall under the Act's risk categories (minimal, limited, high-risk, or prohibited per Annex III), and what documentation, testing, and governance will be required before application deadlines. We are not an official conformity assessment body and do not issue certificates.
We design AI systems and delivery methodology with these frameworks in mind: ISO/IEC 42001 for AI management system structure, NIS2 obligations for the 18 critical sectors, and DORA operational resilience for financial services. We offer pre-audit, gap analysis, and readiness preparation — not official certification.
Yes. Beyond scoring new use cases, we assess systems already running — architecture, controls, evidence, audit trail, supervision load, and defensibility against regulatory obligations. The output is a findings report with severity-ranked gaps and remediation priorities, not a use-case score.
Readiness assesses a use case or project before build — will it work, should we fund it, what are the risks. System assurance assesses a system after deployment — does it hold under real conditions, is it defensible, is the evidence we'd need for an audit actually present. Readiness decides whether to build. Assurance decides whether to trust what's already built.
Still have questions? Write to us directly.
Contact form or direct email. NDA on request.
Honest diagnostic — no sales pitch, no detours.
Scoped, timelined, and priced within 48 hours.
Contract signed, kickoff scheduled on your timeline.
Book a 30-minute diagnostic call. We will map your situation, identify quick wins, and tell you honestly if we are the right fit.
No pitch deck. No generic proposal. A real conversation about your specific situation.
