Frequently asked questions about artificial intelligence consulting
21 questions
AI consulting → What does an artificial intelligence consultancy do?
It analyzes processes, data and systems to identify where AI can add value and how it should be implemented.
What does AI consulting include?
It can include process analysis, use cases, feasibility, architecture, risks, prioritization and a roadmap.
Do I need to know what solution I want before hiring a consultant?
No. Consulting exists precisely to define which problem is worth solving and with what approach.
How do you identify AI use cases?
By analyzing processes with manual work, unstructured information, multiple systems or variable decisions.
How do you prioritize AI projects?
By impact, complexity, available data, integrations, risk, cost and expected return.
What is an AI roadmap?
It’s a prioritized sequence of initiatives with dependencies, scope, risks and next steps.
How do you know if an AI project will pay off?
By comparing the cost of building and maintaining the system with the expected value in time, capacity, errors or revenue.
Does consulting include technical architecture?
It can. It depends on the scope and on how much needs to be defined before development.
Does consulting include development?
It can be hired separately or followed by development afterward.
What’s the difference between AI consulting and AI development?
Consulting defines what’s worth building and how to approach it. Development turns that decision into software.
Do I need consulting if I already know what I want to build?
Not always. If the scope, integrations and goal are clear, it can make sense to go straight to development.
Can consulting focus on a single process?
Yes. You don’t need to analyze the whole company to evaluate a specific case.
Can AI consulting cover several departments?
Yes. It can cover a single unit or different areas of the organization.
Which departments usually have the most automation opportunities?
Operations, administration, customer service, finance, sales, support and areas with a high volume of documents tend to have frequent opportunities.
Does AI consulting include interviews with employees?
It can include them when they’re needed to understand real processes and exceptions.
Are current tools analyzed during consulting?
Yes. The integrations and limitations of existing software directly affect feasibility.
Can consulting identify quick wins?
Yes. It can separate opportunities that can be put in place quickly from more strategic projects.
What happens if the conclusion is that AI isn’t worth it?
That’s a useful conclusion too. It keeps you from investing in a project with little return.
Can consulting help choose AI providers?
Yes. It can evaluate models, infrastructure and services against the project’s requirements.
Can it help define an internal AI policy?
Yes, when the scope includes governance, security, usage and internal control.
Can AI consulting estimate costs and return?
Yes. When there’s enough data, the required investment can be estimated and compared with time, volume, errors, freed-up capacity or expected financial impact. The estimate should be treated as a business hypothesis that’s validated with real data.
Tell us about the process you want to improve.
You do not need to know which model to use, which architecture you need or whether the problem calls for an AI agent. Tell us how the process works today, who is involved and which tools you use.
We’ll reply within one business day with a first read of your case.