Frequently asked questions

We help SMBs make better use of their data, their tools, and artificial intelligence to save time and make better decisions. Our work combines two requirements that rarely go together: architectural rigor and a sense of real-world use. The first ensures the structure holds; the second ensures it gets adopted.

Concretely: we map what's already in place, identify where AI and automation deliver real value, then build the solutions (software integration, automations, AI agents, dashboards). We also train teams so they become autonomous. Our approach is progressive: we analyze, we consolidate the foundations, then we accelerate.

We define ourselves not by sector but by company type: SMBs (roughly 5 to 50 employees) that already have their management tools, but sense that their data is dormant, their processes are manual, and that AI could help without knowing where to start.

Our expertise is cross-sector: structure the data, automate the repetitive, deploy AI where it makes sense.

Yes, and it's often the first building block of a broader engagement. More than a website, we shape your online presence. We offer several formats, from a simple showcase site to more complex sites your teams can update on their own. In both cases, we use modern technologies and the site is designed to be easily maintained and extended.

Sites we deliver include the latest SEO and GEO (Generative Engine Optimization) practices: they're optimized both to rank in traditional search engines and to be cited by conversational AIs (ChatGPT, Claude, Perplexity).

Probably yes, but not necessarily the way you imagine. AI is only useful where there's repetitive volume, data to exploit, or decisions to inform. An accounting firm can automate the qualification of client emails; a craftsman can generate quotes from a simple voice description; a retailer can anticipate stock needs.

AI is also used at a personal scale, not only a company-wide scale: writing assistants, document summaries, meeting preparation. Many executives start by equipping themselves or their teams with personal AI tools, before deploying broader automations. It's often the best entry point.

The real question isn't "is AI for me?", but "where, in my days or in my teams' days, is time being lost on tasks without added value?" That's where we begin.

Not with AI. Most digital projects end up as half-lost investments: too complex, too far from the business. So we start with a status check: which tools you use, where your data lives, where your daily frictions are.

The fundamental question isn't "which AI to install?", but "what is this tool for, and who should be able to use it?" Technology comes after that clarity. Often, the first gains come from cleaning up data and putting dashboards in place, before even touching AI. Once the foundations are solid, we identify 1 or 2 high-impact AI use cases and deploy them.

An AI agent is a program that uses artificial intelligence to perform tasks autonomously, making decisions and interacting with other tools. Unlike a chatbot that only responds, an agent acts: it reads your emails, queries your CRM, triggers an action in your accounting system, generates a report.

Picture a collaborator who never sleeps, to whom you explain a task once, and who repeats it without error. This is our main playground at Techwaves.

AI replaces tasks, not professions. In the projects we deploy, the goal isn't to cut headcount but to free up time on repetitive tasks and reinvest it in what calls for human judgment: client relationships, business expertise, strategic decisions.

Companies that adopt AI intelligently gain capacity without growing payroll, and their teams focus on what truly matters.

It's our first concern on every project. Depending on your constraints (GDPR, regional data protection laws, professional secrecy, sensitive data), we pick the right architecture: AI models hosted in the region of your choice, deployment on your own servers, or open-source solutions that send nothing outside. You're never required to use ChatGPT or OpenAI.

We clearly separate what can go through a cloud service (marketing copy, for example) from what must stay strictly internal (financial data, client files). Security is an architectural choice, not an option.

A digital project doesn't generate ROI because it's delivered, but because it's used. A tool that gets adopted naturally becomes an asset; a tool that teams are forced to use stays a cost. Our pricing reflects this: we invest time upfront so that the deliverable is actually adopted.

The right question therefore isn't "how much does it cost?", but "how long until it pays back?" We size up with you the current cost of the task in scope (time spent, errors, missed opportunities) and we calibrate the investment so it's recovered within a few months. A project that doesn't pay back fast is a project that's badly scoped.

We always offer a free initial conversation to scope your need and give a precise estimate before any commitment.