AI consulting and AI strategy for businesses in Corsica
AI consulting helps you decide where AI is worth it in your business, with which tools and in what order, before you invest. Based in Bastia, we carry out the opportunity assessment, the audit of your current AI use and the definition of your strategy, then support deployment through to adoption by your team.
What is AI consulting for?
AI tools are multiplying, and so are the promises. For a business owner, the hard part is not finding a solution but knowing which one meets a real need, what it will cost to run and what it means for your data and your people.
AI consulting means taking that step back with you. We start from your business, not the technology: your tasks, your pain points, your goals. Then we assess what AI can realistically contribute, including when the right answer is conventional software, better organisation or nothing at all.
What sets us apart is that we also build what we recommend. Our advice therefore reflects what is feasible, maintainable and sensible for an organisation of your size.
Opportunity assessment, AI audit and strategy: our services
- 01
Opportunity assessment
We list with you the tasks where AI could help, then rank them by expected gain, feasibility, risk and effort. You end up with a short, reasoned shortlist.
- 02
AI audit of current use
Your team may already be using AI tools, sometimes with no framework. We take stock: which tools, for what, with what data, and what risks to confidentiality or to the quality of work.
- 03
Defining your AI strategy
Priorities, a step-by-step roadmap, usage rules, cost items to plan for and success indicators: a clear business AI strategy, at your scale.
- 04
Tool selection
Off-the-shelf software, custom development, online service or local AI: we compare the options on concrete criteria such as fit with the need, total cost, confidentiality and dependence on the provider.
- 05
Deployment and adoption support
Roll-out, usage rules, onboarding your team, tracking early results. Our AI training courses can complement this support.
A business AI strategy tailored to your sector
The questions differ from one line of work to another. Here are typical topics for a consulting engagement.
- 01
Retail
Should the first step be an assistant on the online shop, automated order handling or better use of sales data?
- 02
Tourism and hospitality
How to absorb the seasonal peak without letting the welcome slip: multilingual replies, enquiry sorting, review management.
- 03
Trades and construction
What gains are possible on quotes, reports and follow-ups, with tools that are easy to use on site.
- 04
Professional practices
How to use AI without compromising professional confidentiality: which tools to allow, with what data, and when to consider a local AI.
- 05
Local authorities and public bodies
Which uses can improve the service to residents while meeting transparency requirements and keeping public data under control.
How an AI consulting engagement unfolds
A single point of contact handles the engagement, from the first meeting to measuring results.
- 01
Understand
Interviews with management and with the people who do the work day to day, a review of existing tools and data, and clarification of your goals, budget and timeline.
- 02
Design
Analysis of opportunities and comparison of options, followed by a written strategy and roadmap, which we discuss and adjust with you before any decision is taken.
- 03
Build
If you wish, we deliver a first limited, measurable project chosen from the roadmap. You follow progress throughout.
- 04
Launch and support
Support through deployment, adoption by your team, measurement of results and roadmap updates as lessons emerge.
What an AI audit gives you before you invest
- 01
Avoid wasted spending
A tool that dazzles in a demo may change nothing in your daily work. A preliminary assessment rules it out before you pay.
- 02
Start with the right project
The first project sets the tone: a visible, easily measured gain beats an ambitious, uncertain undertaking.
- 03
Frame existing use
Clear rules protect your data and your customers without banning what already works.
- 04
Bring your team on board
Involved from the start, staff see AI as help rather than a threat, and that is what makes adoption work.
Data, compliance and adoption: points to examine
- 01
Shadow AI
Personal accounts on consumer services, fed with customer data: a real and often invisible risk. The audit brings it to light without looking for someone to blame.
- 02
Data quality
AI projects quickly stall on scattered, incomplete or poorly kept data. We assess this from the outset.
- 03
Legal framework
GDPR, the EU AI Act, professional confidentiality depending on your field: the strategy builds these constraints in from the start.
- 04
Provider dependence
A sound strategy avoids building everything on a single tool whose prices or terms may change.
- 05
The human factor
A tool nobody uses brings no return. Adoption has to be prepared: explanation, training, internal champions, user feedback.
What determines the cost of AI consulting
The scope is agreed together at the outset, and your quote sets it out without jargon.
- 01
Size of the organisation
Number of departments, people to interview and tools to review.
- 02
Depth of the audit
A concise overview, or a detailed analysis of data, tools and risks.
- 03
Deliverables
Recommendations note, detailed roadmap, usage rules, specification for a first project.
- 04
Follow-on support
Deployment follow-up, team training, ongoing measurement of results.
Technologies and methods
- Opportunity assessment
- AI use audit
- Roadmap
- Tool selection
- Change management
- GDPR and AI Act
Frequently asked questions
Why hire an AI consultant rather than experiment alone?
Experimenting alone is a useful way to get a feel for it. An outside view takes you further: spotting the uses that genuinely pay off, avoiding data risks and building a coherent plan rather than a pile of tools.
Does an SME need an AI strategy?
Not a thick document, but a clear view: which tasks to improve first, with which tools and under what rules. This groundwork is particularly useful for organisations without an IT department.
What does an AI audit involve in practice?
A review of how AI is currently used in your organisation: tools, data involved, benefits obtained and risks. It ends with practical recommendations to frame what already exists and choose the next steps.
Do we need well-organised data first?
No, that is precisely one of the things the assessment looks at. If your data needs better structure before an AI project, we will tell you and suggest the steps to get there.
Can an AI consultant come on site in Corsica?
Yes. Based in Bastia, we meet your team on your premises when that helps, and we also work with organisations beyond the island. Every enquiry gets a reply within 48 hours.