How should a company choose the right AI tool?
The selection of an AI tool should begin with the process that needs improvement, not the available technology. It is necessary to define the operational problem, the expected outcome and compare solutions based on capabilities, integration with existing systems, data, security, ease of adoption, costs, scalability and economic impact.
Mizzau & Partners supports businesses in defining the use case and mapping available solutions, also leveraging the intelligence developed by PrivateEquity.AI to identify the tools most aligned with the specific business requirement.
Which business processes can be improved with AI?
AI can improve many business processes, but its value depends on a well-defined use case. Relevant areas may include sales, marketing, finance and management reporting, operations, procurement, customer service, HR, legal work, document analysis, knowledge management and decision support.
The priority should not be to automate as many tasks as possible, but to identify the processes where AI can produce a tangible improvement in productivity, quality, speed, decision-making capability or scalability.
What is the best AI tool for business process automation?
There is no single best AI tool for every process or company. The most appropriate solution depends on the workflow to be improved, the complexity of the task, available data, required integrations, security requirements and the expected economic outcome.
Tool selection should therefore follow a clear definition of the use case and a comparison across solution categories, rather than forcing the process to fit software chosen in advance.
ChatGPT, Microsoft Copilot, Gemini, Claude or a specialist AI tool?
The choice depends on the specific requirement. General-purpose AI platforms can support a wide range of activities, while specialist tools may offer features, workflows, integrations or controls designed for specific business functions. In many cases, the most effective solution may be a combination of tools.
The comparison must therefore focus on the business use case and the company's technological context, rather than just the general capabilities of the model or the prominence of the vendor.
How can an SME identify where AI can generate the greatest return?
SMEs should assess AI opportunities by looking first at processes that consume significant time, carry high costs, constrain growth or rely on repetitive, information-intensive tasks. The assessment should also consider whether AI could improve decision quality, customer experience, speed of execution or growth.
The objective is not to measure the number of tools adopted, but to identify where artificial intelligence can produce an economically significant and sustainable impact.
How should companies compare AI tools before adopting them?
Companies should compare AI tools against their fit with the use case, functional capabilities, integrations, data management and protection, security requirements, ease of adoption, scalability, total cost and the available evidence of achievable results.
- USE-CASE FIT
- INTEGRATION
- DATA & SECURITY
- ADOPTION
- SCALABILITY
- COST
- EVIDENCE
- EXPECTED IMPACT
Should an SME buy an existing AI tool or build a proprietary solution?
The choice between buying, integrating or developing an AI solution depends on the strategic nature of the process, the availability of proprietary data, the need for customization, internal capabilities, costs and the required speed. For many use cases, it is more efficient to start with existing solutions; in others, distinctive data or workflows may justify a higher degree of customization.
The decision should be treated as a choice of enterprise architecture and capital allocation, rather than simply a technological one.
