AIConsulting
PROPRIETARY METHODOLOGY

AI Revenue System™

Our 5-phase methodology to transform AI into a growth lever — with control, compliance and measurable results.

Not a theoretical framework. A system tested, iterated and deployed with our clients. Each phase produces concrete and measurable deliverables.

5 phases. One system. Results.

Each phase flows naturally into the next. The cycle is continuous: governance feeds the diagnosis, which launches a new improvement cycle.

1

Diagnose

Identify ROI opportunities

2

Design

Architect the system

3

Deploy

From POC to production

4

Scale

Optimize and deploy at scale

5

Govern

Secure, comply, control

The 5 phases in detail

Each phase is designed to reduce risk and accelerate time-to-value. Here is what happens concretely at each stage.

1

Phase 1 — Diagnose

Everything starts with a comprehensive audit. We analyze your data, processes, tech stack and AI maturity across 4 axes. The goal: identify the 3 to 5 use cases with the highest ROI and build a quantified business case. No assumptions, no buzzwords — data and verifiable financial projections.

Deliverables for this phase

AI maturity score (4 axes)
Opportunity mapping by department
ROI estimate per use case
Quantified business case with timeline
2

Phase 2 — Design

We architect the complete system: AI model selection, agent design, data schemas, integrations with your existing IT. Each component is designed for a precise, measurable business objective. We favor modular architectures that allow starting small and scaling progressively. The blueprint also includes guardrails, governance and success metrics.

Deliverables for this phase

Complete technical blueprint
Detailed functional specifications
Agent architecture and workflows
Governance plan and guardrails
3

Phase 3 — Deploy

Iterative development in short sprints. We start with an MVP on the priority use case, test in real conditions with your teams, and adjust. Each iteration brings the system closer to production. Our consultants work side by side with your teams to ensure skills transfer. Production rollout includes monitoring, alerting and complete documentation.

Deliverables for this phase

System in production
Real-time monitoring dashboard
Technical and user documentation
Operational team training
4

Phase 4 — Scale

The system works — time to scale. Replication across departments, new use cases, performance optimization. We measure business impact continuously and adjust parameters to maximize ROI. This phase also includes workflow industrialization and continuous improvement processes.

Deliverables for this phase

Business impact metrics (before/after)
Multi-department expansion plan
Continuous performance optimizations
Replication playbook
5

Phase 5 — Govern

AI in production requires robust governance. Human-in-the-loop supervision, regular audits of biases and output quality, AI Act and GDPR compliance. The Trust Layer ensures every AI decision is traceable, explainable and contestable. This phase is not an add-on — it is integrated from the Design phase.

Deliverables for this phase

Operational Trust Layer
Documented governance framework
AI Act compliance reports
Audit and improvement processes

Why it works better.

Most AI projects fail because they start from the tech. We start from the business problem.

Classic approach
AI Revenue System™
Starting point
The tool or the tech
The business problem
Measurement
Vague («we deployed AI»)
ROI per use case
Scope
An isolated POC
A complete system
Governance
Afterthought
Integrated from day one
Scalability
Difficult
Architected
Time to value
6-12 months (if it works)
Measurable ROI in 8 weeks
Transfer
Vendor dependency
Teams trained and autonomous

Our commitments

These are not marketing promises. These are contractual commitments we make with every client.

Measurable ROI in 8 weeks

Each phase is designed to deliver incremental value. No need to wait 12 months for results — the first use case generates ROI in 8 weeks.

No vendor lock-in

Your system, your property. We use open standards and document everything. When you want to fly on your own, you have the keys.

Governance integrated from day 1

No «we'll handle compliance later.» The Trust Layer, guardrails and explainability are integrated from the Design phase.

Teams trained, not dependent

Our consultants work side by side with your teams. The goal: make you autonomous, not create a dependency on the firm.

They use AI Revenue System™

Feedback from executives who deployed the methodology in their organization.

In 6 weeks, we had a system in production already generating ROI.

Marc

Digital Director

The difference with other firms? They start from the business, not the tech.

Sophie

COO

The Trust Layer allowed us to pass AI Act compliance without stress.

Thomas

DPO

Compatible with your stack

AI Revenue System™ integrates with your existing infrastructure. No need to change everything — we plug into what you already have.

SalesforceHubSpotShopifySAPSnowflakeBigQueryAzureAWSGoogle CloudSlackMicrosoft 365Custom APIsPostgreSQLMongoDBStripeZendesk

And many more. If you have an API, we can integrate.

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