Strategic advice and technological support

The integration of artificial intelligence within an organization is not limited to a technical or algorithmic challenge. It raises complex questions of strategic positioning, data governance, skills transformation, risk management, ethical and regulatory compliance, as well as realignment of decision-making processes.

This is why NeuriaLabs has structured a high-value-added strategic consulting and technological support offer, specifically designed to help businesses, public institutions, investment funds, technological structures, and large organizations to design, steer, and complete their AI trajectory in a structured, secure, and efficient framework.

Our support is not merely limited to the production of conceptual deliverables: it is an operational, demanding, and integrated approach addressing general management, business teams, IT departments, transformation, compliance or innovation management, in a logic of strategic partnership over the medium and long term.

Intervention Areas

Our support is organized around six major areas, which can be mobilized in a combined or sequenced manner depending on the AI maturity level of the client organization:

Definition of the Corporate AI Strategy

Development of a global AI value enhancement strategy aligned with business objectives, regulatory constraints, internal technological capabilities, and market opportunities. This strategy includes identifying high-potential areas, defining performance indicators (KPI AI), and prioritizing projects to undertake.

Maturity Audit and Usage Mapping

Conducting a comprehensive audit of the AI maturity of the organization: analysis of technological infrastructure, internal processes, data culture, skill levels, data governance, and the capability to deploy AI systems into production. Mapping existing or latent use cases and assessing their level of industrialization.

Identification and Qualification of High-Impact Use Cases

Facilitating workshops with stakeholders, cross-analysis of business challenges and technological opportunities, modeling of potential ROI, assessing the level of risk or ethical sensitivity. This phase allows the creation of a prioritized and contextualized portfolio of AI projects.

Structuring of AI Roadmaps

Development of strategic and operational roadmaps over 12, 24, or 36 months, integrating technological milestones, data needs, organizational trade-offs, architectural choices, deployment scenarios, monitoring indicators, and continuous adjustment mechanisms.

Support for Technical and Functional Integration

Technical-functional consulting on the integration of AI components into existing IT environments (IS, CRM, ERP, cloud, edge, connected objects, business tools), drafting specifications, assistance in project management (AMOA), and managing relationships with integrators or third-party editors.

Change Management and Skill Building

Implementing change support programs: awareness workshops, training of internal teams, forming AI task forces, coaching decision-makers, developing internal policies on the ethical use of AI, algorithm governance, and managing dialogue with stakeholders (employees, clients, regulatory authorities, partners).

Deliverables and Intervention Formats

Our consulting missions can take various forms, depending on the desired scope of intervention:

• Feasibility studies for AI (including business, data, economic model, ethics)

• Customized strategic reports (diagnosis, challenges, projections, benchmarks)

• Quantified and scenario-based technological roadmaps

• AI transformation plans at the scale of an organization or department

• AMOA AI missions for specific projects or multi-year programs

• IA training and acculturation sessions for executives and operational staff

• Co-constructed workshops for ideation, prioritization, framing, and prototyping

• Drafting of AI charters, internal guidelines, or algorithmic governance policies

Differentiating Positioning

• Cross-cutting expertise in technical, strategic, regulatory, and ethical domains, ensuring a rigorous, realistic approach that meets the expectations of the ecosystem.

• Ability to intervene from the upstream phases, laying the groundwork for a robust and sustainable AI strategy, or to support ongoing projects with expert insight into their trajectory.

• Systemic and multi-level approach, integrating human, organizational, financial, regulatory, and technical dimensions.

• Technological independence and absolute objectivity, ensuring recommendations based solely on the client's interests.

• Long-term support, possible over several years, with milestone points, trajectory reviews, steering committees, and continuous adjustments.