About us
Djtal is a company based in French-speaking Switzerland that helps Swiss businesses connect AI to the ERP (enterprise resource planning) or CRM (customer relationship management) system they already run, or deploy it on its own. Our strength is senior local expertise combined with specialist engineering, backed by Swiss ethics and dependable data.
In brief
Djtal is a Swiss hybrid human-AI company and operational AI specialist. It applies artificial intelligence to the ERP and CRM systems that businesses already run. Its three strengths reinforce one another. Management and client relationships sit in Switzerland, engineering in Tunisia, and a team of operational AI agents is proven daily in Djtal's own operations.
Our purpose
Build. Demonstrate.
01
You speak to a business leader with 30 years in IT who has run several companies. You also speak to a team that passes on its know-how in full. The more we share what we know, the more interesting and stimulating your projects become for us, and the better the result for you. Delivery is in the hands of senior engineers. Laurent Cuénoud and Michel Cuénoud (formerly of IBM) bring more than 70 years of IT experience between them to the team.
02
Confidentiality, compliance with the GDPR and the Swiss Federal Act on Data Protection (FADP), and data that stays yours form a non-negotiable foundation. We give our word and keep it. Every promise is one we can stand behind, and every guarantee one we can prove.
03
Strategy, business, processes, technology, AI. As well as being technicians, we are working entrepreneurs who see your challenges from your side of the table. We know what a profit and loss account, a cash cycle and a budget trade-off mean. We speak your language before our own.
The team
Founder and CEO
30 years in IT. Three technology waves supported. The fourth is under way.
A physicist by training, he completed his master's at CERN, where he worked on early neural networks as far back as 1995. While still a student, he ran IT courses for companies, travelled widely, then began his IT career at one of Europe's largest food groups. At 27 he co-founded his first company, an IT consultancy that now has more than 200 employees and several European offices. He then took over the management of a 40-person industrial ecology firm, leading a cleaner production programme in Tunisia with the Swiss government and the United Nations. Over four years, the programme supported 80 companies and trained more than 350 engineers. He has been an Authorized Zoho Partner since 2017.
What he brings to every engagement is 30 years of systems thinking, a practical approach aimed at cutting the cost of IT projects and exacting standards that push each client's business to grow stronger.
Partner · Head of the engineering hub
Our advanced engineering hub.
A friend and partner of Laurent's for 30 years, Faisal heads Djtal's engineering hub in Tunisia, a team of specialised engineers. His expertise covers IT infrastructure, networks, backup and data security, as well as steering Zoho and AI work. He is responsible for the technical quality of our deployments, coordinates the engineers alongside Laurent and provides the operational link between the Swiss and Tunisian sides.
IT engineer · Full-stack developer
The technical go-to engineer present with all our clients.
His expertise covers custom application development (Zoho Creator, Deluge), integration, and both front-end and back-end work. Zakaria works on almost all our deployments, and he is often the one who turns the agreed architecture into a working solution.
IT engineer · Zoho expert · Front end and back end
Our head of development.
Ahmed works across the whole Zoho ecosystem and leads the complex development work for our clients. He structures the team's development work and ensures the quality of the code we deliver.
E-commerce expert
Djtal's eye for e-commerce.
Idalmis brings specialist e-commerce expertise to Djtal: online selling, purchase journeys, conversion and customer engagement. She works on our e-commerce deployments (Zoho Commerce in particular) and in one of our internal R&D environments for AI agents applied to online commerce.
Industrial engineer
The bridge between business reality and the technical solution.
Hatem has a close understanding of industrial and operational processes, which he applies on our engagements for manufacturing and logistics clients. He translates what happens on the ground into technical requirements, and back again.
Strategic adviser
40 years in IT, 20 of them at IBM.
As Djtal's strategic adviser, Michel has watched IT change business over four decades, 20 of those years at IBM. That long view grounds our recommendations. Most of the questions executives now ask about AI are old questions already met in earlier waves, and Michel can recognise the patterns and tell what is new from what is merely dressed up as new.
Systems engineer
He makes sure our deployments hold up under load.
Mohamed Amine is responsible for the system layer, which covers infrastructure, security, reliability and cross-cutting integrations. The stability and security of what we put into production rest on his work.
Our engineering hub in Tunisia has 15 specialised engineers. The four technical leads introduced above carry most of our deployments, and 11 other engineers join client projects in support, as the skills required demand. All of them work in the Djtal environment and regularly give clients direct support.
At the same time, we run six active research projects on average with leading Tunisian universities. That pays off twice. We keep up with current work on the AI, data and architecture topics of tomorrow, and we spot and then recruit the most promising engineers to help the team grow.
Augmented team
Djtal is one of the first organisations in French-speaking Switzerland to build AI agents into its everyday operations. They are named, operational tools that make our team faster and freer to focus on your relationship with us, your strategy and your decisions. To date, Djtal has built and runs 25 AI agents, in-house and for its clients.
Our team of agents is organised around our strategic balanced scorecard and its five axes: general management, sales, projects, admin and finance, and knowledge. Each agent is regularly backed by specialised subagents, called in on the fly for specific tasks. The team is built to evolve, growing with our needs and with progress in AI. The human team stays at full strength.
Chief of Staff
Sofia prepares management decisions, keeps Djtal's strategic pillars consistent across everything the company produces, keeps its institutional memory and handles AI market intelligence.
Communications and design
Iris runs Djtal's communications across every channel: email drafts, LinkedIn posts, editorial copy, visual briefs and the visual identity guidelines. Everything goes through human review before publication.
Marketing and sales
Cassandra follows developments in AI and in ERP and CRM systems continuously, prepares briefing packs for prospect meetings and records what was learned after each one. Her work supports our strategy audits and our targeted campaigns.
Knowledge management
Athena indexes the internal documentation, maintains the libraries of modular code and reusable templates (Zoho Deluge, Python, Node.js), keeps our technology intelligence up to date and captures the company's know-how so that it can be shared with our clients. She also contributes to our online support centre for clients, with step-by-step guides, FAQs and good practice.
Project portfolio
Victor prepares our client meetings and follows them through to strengthen Djtal's method and capture every key point from project sessions. He tracks the progress of engagements and spots the signs that an engagement could be extended or needs attention.
Solutions engineering
Basilio leads solutions engineering and the technical expertise behind client engagements. That covers analysing the context, designing architectures and solutions, programming and building applications, and configuring and implementing solutions.
Client deployments
Mercure installs, configures and maintains the AI agents delivered to clients. Each instance gets its own environment, permissions and updates, and he keeps every agent deployed outside our walls running.
Administration and logistics
Adil looks after document management, the internal schedule and the coordination of team milestones. Above all, he handles task reminders and flags every deadline in time. He is our first line of administrative automation.
Finance and accounting
Émile covers accounting and finance. He keeps the journal entries in Zoho Books and tracks project margins, cash flow and recurring revenue. He prepares the monthly financial report.
Each has a precise mission and a defined scope. They are named tools with clear responsibilities, able to collaborate with one another, and they multiply the effectiveness of our senior human team. Decisions stay with the humans who sign them.
“AI will replace our staff.”
AI takes over tasks, and it also takes on valuable work that your teams keep putting off for lack of time. In our deployments we identify three kinds of case: (1) repetitive, time-consuming or low-value tasks, which we hand over to AI; (2) high-impact analysis and forecasting that gets set aside for lack of time, which we entrust to AI; (3) strategic subjects, where AI gathers the figures and options ahead of a management decision. Your staff are freed up for what matters: client relationships, judgement and expertise. They come out better equipped to decide.
“AI makes up answers.”
Yes, models can make things up. So our own agents work within written scopes, connected to real data, and their sensitive outputs wait for human approval. Our finance agent, for example, stops as soon as an invoice comes from a supplier that a person has yet to approve.
“Security breaches, and our data ending up in the US.”
Sensitive components are hosted in Europe. Models are configured with a no-reuse clause, so your data trains no public model. The non-disclosure agreement is signed before the engagement starts. GDPR and Swiss FADP compliance is part of the scoping from day one.
“AI will be watching us all the time.”
An agent leaves a trace of everything. Every action, every output and every query can be read back. You can deactivate an agent within minutes, without asking us for permission.
Our model
Djtal is a hybrid human-AI company built around three strengths that complement one another.
Business IT in Switzerland faces a structural shortage of stable, experienced and lastingly committed professionals, with high turnover and salaries often beyond the reach of mid-sized companies. We built our model to address it.
Close client relationships, architecture, project management, user training and on-site support within the hour.
We know the French-speaking Swiss market in fine detail. Laurent Cuénoud, Faisal Al Tayyari and the team provide management, quality and the client relationship. At least five people, adjusted to each project.
An engineering hub of 15 specialised engineers, stable, committed and trained for the long term.
A partner country of Switzerland, French-speaking, in the same time zone and a 2-hour flight away. The hub is led by Faisal Al Tayyari.
Sofia and her colleagues (Iris, Cassandra, Victor, Adil, Émile, Athena, Mercure and Basilio, supported by specialised subagents called in on the fly) multiply the productivity of the first two strengths.
A team of agents organised around our internal balanced scorecard, built on MCP and several AI models (Zoho's Zia, Claude, ChatGPT). That is what keeps our model competitive at the same level of quality.
This model is made possible by 30 years of friendship and collaboration between Laurent Cuénoud and Faisal Al Tayyari. We know how to work together because we have worked together for a long time.
→ How this model applies to your business applications: Creator + Catalyst, since 2021.
We explicitly subscribe to the Swiss model and its strengths, which guide our choices and trade-offs:
Democracy · innovation · security · respect · balance · integration · integrity · well-being · economic prosperity · reliability · efficiency · humanity.
In our engagements, day after day:
Our story
Behind Djtal lie 30 years in the trade. Laurent worked through the three earlier technology waves, which were the arrival of the internet in business, the turn of the millennium and, in the 2010s, the digitalisation of business processes.
AI is the fourth wave. Like the earlier ones, it begins by seeming complex and out of reach, before becoming a standard that every company will have to adopt. The opportunity is there today for companies that start now, at a steady pace.
Unlike the three before it, AI can be the first wave that everyone shares. It can bring companies closer together by putting the most advanced tools within reach of organisations of every size. That depends on its being led by providers who lived through the earlier waves and learned their lessons.
Djtal was founded for this. Its purpose is to help companies through the fourth wave with the method that worked for the first three (assessment, priority use cases, actionable plan, delivery). It adds the systems thinking needed to anticipate knock-on effects, whose costly damage can stay out of sight for months.
Our ambition at Djtal is that, within a decade, Swiss companies can say that competitiveness and humanity moved forward together and strengthened each other, and that AI, used in its proper place, was one of the tools that made this possible.
Book 30 minutes with Laurent Cuénoud, Authorized Zoho Partner since 2017, with no obligation. You will see quickly whether the chemistry is right, and everything else depends on that.
Speak to one of our expertsLast updated: