Advanced technology,
applied with clarity.
Data, automation and applied AI to turn scattered tools into work systems that are clear, useful and ready to evolve.
The problem isn't the tools.
It's that they don't work together.
This is what we usually find when we come in. None of it is fixed by adding yet another tool.
That's why we don't start by automating. We start by understanding where the system breaks.
Six ways to work together.
From a one-off diagnosis to implementation and team training. You choose where to start; we help you prioritise.
Data, process and AI diagnosis
To understand where the friction is, which tools you use, what data exists and what's worth prioritising.
Process automation
Flows that cut manual work, connect tools and leave traceability.
Applied AI and internal assistants
Internal chatbots, classification, extraction, guided answers and copilots for specific tasks.
Reporting and decision systems
Models, dashboards, alerts and metrics that help you decide better.
Hands-on AI training
Sessions and workshops so the team uses AI usefully, safely and applied to their real work.
Talks and executive sessions
For leadership, teams or internal events on applied AI, automation and adoption.
A few possible pieces of a larger system.
We don't start from the tool — we start from the work that needs order. We can build on what you already use, add new pieces, or build the layer that's missing.
Common examples, among others.
- Claude
- ChatGPT
- Gemini
- Copilot
- Perplexity
- n8n
- Make
- Zapier
- Excel
- Google Sheets
- BigQuery
- PostgreSQL
- Supabase
- Power BI
- Tableau
- Looker Studio
- Google Workspace
- Microsoft 365
- Notion
- Airtable
- HubSpot
- Brevo
- Resend
- Mailchimp
- Typeform
- Python
- Next.js
- Docker
- GitHub
- Vercel
- Cloudflare
Five steps. No shortcuts.
A way of working designed to avoid oversized projects, tools nobody uses and deliverables left half-done.
- D1
Understand
We understand the business before asking for access. Without understanding the why, no system works.
- D2
Prioritise
We separate the urgent from the important. We pick a few initiatives that move the needle.
- D3
Prototype
We validate fast with small pieces, real data and real feedback.
- D4
Implement
We move from prototype to system: robust, documented and connected to daily work.
- D5
Hand over
We leave knowledge and documentation, and support the team through adoption, maintenance and evolution.
This is what a system looks like, not a standalone tool.
Each case is a real flow end to end: an input, the steps that order it and an outcome the team uses. AI shows up where it adds value, not for show.
Input
A messy need
Criteria
What's worth building
System
Data · automation · AI
Outcome
Traceable and in use
The same system, applied
Internal chatbot
Answers the team's questions using the documentation you already have.
→ Consistent, traceable answers
Marketing
From cold lead to sales action, without repetitive manual work.
→ Sales focused on what converts
Reporting
Data from several sources turned into a single reliable truth.
→ Decisions on data, not hunches
Operations
Requests that handle themselves through to the final summary.
→ Less manual follow-up, more control
Documents
Paper and PDFs turned into ordered, archived data.
→ Information extracted, not buried
Customer support chatbot
Every query prioritised and answered with clear criteria.
→ Response times under control
Systems the team can use every day.
We don't hand over isolated pieces. We leave systems the team can use, maintain and improve.
Connected data
A single, coherent source of truth for the whole business.
Automation
Manual processes removed without losing control or traceability.
Applied AI
Assistants and models that solve real day-to-day tasks.
Leadership reporting
KPIs that are clear, reliable and where decisions are made.
Supported adoption
Training, documentation and support so the system gets used and evolves.
Clear decisions
Fewer meetings, fewer doubts, less noise.
Why Dateliers
We don't sell magic.
We sell clarity.
Five principles that explain why the projects we deliver are still running months later.
- · 01
Clarity before technology
The right tool is the one the organisation can maintain. Not the newest, nor the most expensive.
- · 02
Proportionate solutions
We design to the real size of the problem. No over-engineering, no architectures that drown the team.
- · 03
Useful, ethical AI
Where it adds value, with traceability of what it decides. AI doesn't replace clear criteria: it amplifies them.
- · 04
Handover to the team
We train, document and support adoption so the system gets used, evolves and keeps generating value.
- · 05
Sustainable results
We build for the coming years, not the next screenshot. No technical debt dressed up as progress.
What can become clear in the first weeks.
Concrete, measured outcomes. Without promising numbers we haven't validated with you yet.
- A map of your processes and tools.
- 3–5 opportunities prioritised by impact and effort.
- A working prototype flow, not a slide.
- Clear criteria to decide what to automate and what not.
- A realistic implementation roadmap.
- Documentation so the team can use and maintain it.
- Quick wins identified to start soon.
What you usually ask us before starting.
If you have scattered data, processes or tools, we start by understanding.
A 30-minute call to see whether it makes sense to work together. No commitment, no sales pitch.