AI Transformation Consultant

Your AI transformation
starts here.

I guide organizations that want to move from AI talk to real results. IAgile methodology, SAFe AI-Native coaching, 12+ years in the field.

Trusted by teams at

Why 70% of AI transformations fail

The problem is almost never the technology. It's the approach.

Strategy without execution

Brilliant roadmaps that die on contact with reality. No quick wins, no buy-in, no budget for next steps.

Technology without humans

Tools deployed without rethinking processes. Teams endure AI instead of co-piloting it. Passive resistance, surface-level adoption.

Consulting without fieldwork

Generic frameworks applied without context. 200 PowerPoint slides, zero real change in daily workflows.

An AI transformation that delivers results at every stage

IAgile merges organizational agility and artificial intelligence. No big bang. Short iterations, measurable results, real adoption.

01

Diagnostic & Quick Wins

Audit your workflows, identify high-ROI AI opportunities, deploy first use cases.

4 weeks
02

Process transformation

Redesign workflows around human-AI co-intelligence. New roles, new responsibilities.

2-3 months
03

Coaching & upskilling

Train managers in AI-native leadership. Coach teams. Build lasting autonomy.

3-6 months
04

Agility at scale

SAFe AI-Native: augmented PI Planning, optimized value streams, integrated AI governance.

Ongoing

Each stage is independent. Start with whatever has the most impact for your organization.

What changes with this approach

Traditional approach IAgile method
First results 6-12 months 4 weeks
Focus Tool deployment Process transformation
Adoption Top-down, imposed Bottom-up, iterative
Deliverables Reports & recommendations Deployed workflows & trained teams
ROI Promised at program end Measured at every stage

How an AI transformation engagement unfolds

The engagement adapts to the organisation, with an on-site presence of 2 to 5 days per week. The stronger the field presence, the deeper and faster the team support can go.

01

Individual — train, drive adoption, build autonomy

Supporting people in the concrete use of AI. Not tool training: we start from real use cases and the friction they hit daily, to prove value fast in their own context. The goal is adoption, the right reflexes, rising skill, then autonomy.

From the first weeks
02

Team — redesigning workflows with AI

Moving from individual to collective practice. We open up the team's workflow with a Lean tool, Value Stream Mapping: understanding how value is actually produced, spotting friction, low-value tasks and delays — then determining where AI genuinely adds value, and where it does not. We then deploy what was selected and measure its impact.

Once first uses land
03

Organisation — industrialise and govern

As teams mature, the discussion outgrows a single team. The topics become organisational: governance, standards, shared practices, tooling, value measurement, industrialisation, and the ability to reproduce what works at greater scale.

Around 3 months

Measurable results

After three months, the observed floor is 40 % operational efficiency gain on transformed activities. Some go well beyond that.

The point is not only to go faster. It is to produce more value and more quality, while building in the mechanisms needed to control the risks, biases and limits that come with AI. The end goal is moving from AI as an individual tool to AI as a lever that transforms the work system itself.

Where I work

Paris and Luxembourg. The Paris headquarters of CAC 40 groups, and Luxembourg institutions — banking, insurance, asset management — facing the same AI challenges with regulatory constraints and multilingual teams of their own.

The method was proven on large accounts, but it adapts: on a smaller organisation the scope tightens and the three levels move faster. No engagement is turned away on size.

12+ years of transformation, from the field to the C-suite

Brian PLUS, AI transformation consultant
12+
Years
5000+
People transformed
8
Certifications
6+
Enterprise clients

Brian PLUS

AI transformation consultant and SAFe AI-Native coach at inspearit. Creator of the IAgile methodology and the AI-Native Compass leadership framework. I have guided organizations like Orange, Renault, Allianz, and La Poste through their agile and AI transformation.

My approach is simple: fewer slides, more results. I work with your teams in the field, not in a conference room.

Certifications

  • SAFe 6 Practice Consultant (SPC)
  • SAFe 6 Agilist (SA)
  • SAFe 6 Product Owner / Product Manager
  • SAFe 6 Scrum Master (SSM)
  • SAFe 6 DevOps
  • SAFe 6 Lean Portfolio Management
  • SAFe 6 Government Practitioner
  • Professional Scrum Product Owner (PSPO I)

What decision-makers ask

An AI transformation consultant guides organizations through the strategic integration of artificial intelligence. It goes beyond deploying tools — it means rethinking processes, skills, and culture to fully leverage AI. I use the IAgile methodology, which merges organizational agility and AI for lasting transformation.
In three successive levels. First individuals: training on real use cases through to autonomy. Then teams: opening the workflow to Value Stream Mapping to find where AI genuinely creates value. Then the organisation: governance, standards and industrialisation, typically around three months. Presence runs from 2 to 5 days per week depending on need.
Between 2 and 5 days per week. The stronger the field presence, the deeper and faster the team support goes.
Yes, in Luxembourg, where I support financial institutions on the same challenges. Elsewhere it depends on the rhythm: several days a week on site requires real geographic proximity.
Yes. The method was proven on large accounts — Orange Business, Renault, Allianz, La Poste — but it adapts: on a smaller organisation the scope and rhythm tighten. No engagement is turned away on size.
First tangible results (quick wins) arrive within 4 weeks. Structural transformation takes 3 to 6 months. Full cultural transformation may require 12 to 18 months. The IAgile approach delivers ROI at every stage, without waiting for the program to end. After three months, the observed floor is a 40 % operational efficiency gain on transformed activities.
IAgile is a methodology that merges agility principles (short iterations, continuous feedback, adaptation) with the power of AI. Unlike purely technological approaches, IAgile puts humans at the center and treats AI transformation as organizational change, not just tool deployment.
Any organization looking to integrate AI strategically: large enterprises (Orange, Renault, Allianz), growing mid-market companies, and public administrations. Typical triggers include competitive pressure, operational optimization needs, desire to create new AI-powered services, or the need to upskill teams on AI tools.

Ready to transform your organization?

30 minutes of free diagnostic. Together we identify your first AI quick wins and the path to lasting transformation.