A small business deploying a generative AI tool to speed up its quotes saves time on each sales cycle. Another, focusing on customer proximity and local services, captures market share that large groups neglect. These two situations seem unrelated on paper, but they share a common point: the choice of a concrete lever, adapted to the field, rather than a generic strategy copied from a competitor.
Succeeding in the business world today no longer relies on a one-size-fits-all recipe. The trends that matter are those we translate into operational actions, not those displayed in a strategic plan that is never revisited.
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Generative AI applied to business: what changes concretely on a daily basis
There is a lot of talk about artificial intelligence, but the real question remains: what do we do with it on Monday morning? In the field, companies leveraging generative AI use it on three specific fronts: market analysis, offer prototyping, and automation of repetitive tasks. These are not six-month projects; they are immediate gains.
Take the example of a salesperson using a prompting tool to pre-write their proposals. The time spent on each file decreases, the number of follow-ups increases, and the sales cycle shortens. The skill that makes the difference here is not technical in the classical sense: it is the ability to formulate relevant queries and to verify the output before sending.
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On the management side, AI also helps identify trends in customer data that no one would have spotted manually. For example, one can cross purchase history and seasonality to adjust a marketing campaign before it is launched, rather than after the fact.
Feedback on this point varies depending on the size of the company and the sector, but one constant emerges: teams that adopt these tools without prior training in prompting and assisted data analysis achieve poor results. The tool does not replace skill; it amplifies it.
Hybrid skills: the profile missing in most teams
Recent analyses on digital transformation all point in the same direction: the combination of technical skills and human skills (curiosity, agility, critical thinking) is what distinguishes high-performing teams. This is not an HR discourse; it is an operational observation.
In practical terms, a team where no one knows how to manipulate an advanced spreadsheet or configure an automation tool remains dependent on external providers for every adjustment. Conversely, a highly technical team that cannot understand the real needs of customers produces solutions that no one buys. To learn more about La Revue de l’Entreprise, which regularly addresses these issues of skills and management, this same logic is applied across different sectors.
The sought-after profile today can do three things simultaneously:
- Use common digital tools (CRM, automation, data visualization) without waiting for dedicated training for each update
- Translate raw data into concrete decisions for the client or the product
- Question an existing process when it no longer produces results, without waiting for management to ask
This is not a question of degree. It is a question of structured curiosity and a habit of testing.
Sector choice and field positioning: the four drivers to watch
Launching or developing a business without considering underlying dynamics is like navigating without a compass. Current business trends revolve around four structural drivers: the rise of generative AI (already discussed), ecological transition, the rise of local services, and hyper-personalization of the customer experience.
The ecological transition is not limited to displaying a green label. In practice, it translates into supplier choices, logistical constraints, and increasingly precise customer expectations regarding traceability. An e-commerce company that cannot answer the question “where does this product come from and how is it delivered?” loses sales.
Local services benefit from a counter-movement to globalization. Consumers are looking for local, responsive contacts who can personalize their offer. This is not a step backward; it is an opportunity for agile small structures.
Hyper-personalization: beyond the first name in the email
Personalization is not inserting the customer’s name into an email subject line. It is adapting the purchasing journey, product recommendations, and after-sales service based on actual behavioral data. Companies that finely segment their customer base convert better than those that send the same message to everyone.
This requires a minimum mastery of digital marketing tools and customer relationship management. No need for a colossal budget: a well-configured CRM and a targeted content strategy are enough to get started.
Realistic action plan: structuring growth without dispersing
We often see leaders wanting to do everything at once: revamp the website, launch a social media campaign, recruit, automate. The classic result is that nothing is completed properly.
A more effective approach is to prioritize a single lever per quarter and measure its impact before moving on to the next. If the current goal is to improve sales management, focus on the CRM and sales processes. The website can wait until the next quarter.
Here is what we observe in companies that progress regularly:
- Objectives formulated in measurable results (number of qualified leads, customer response time, conversion rate), not in vague actions (“improve visibility”)
- A short weekly checkpoint, not a twenty-page monthly report that no one reads
- The ability to abandon a project that does not yield results after a predefined period, without considering it a failure
This last point is often the most challenging. Letting go of a project in which time has been invested requires a discipline that most business guides do not address.
Sustainable growth of a business is built on repeated trade-offs, not on a list of best practices applied en masse. Every decision made in the field, whether it involves adopting an AI tool, recruiting a hybrid profile, or refocusing an offer on a local market, counts more than a fixed strategic plan. The most profitable often remains the simplest action: test, measure, adjust.