AI & data automation agency

From automating repetitive tasks to putting your data to work, we connect artificial intelligence directly to your existing tools.

So you gain productivity and expertise, without rebuilding your stack or changing how your teams work.

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50+

projects delivered

3–5

weeks to a V1

dedicated project manager, A to Z

Fixed price

Quote locked in before coding starts

You can feel AI could change everything, but you have neither the time nor the skills to dedicate to it? That's the starting point for almost every company we work with.

We don't build AI from scratch: we plug the best existing technologies into your tools and your data, and configure them for your business. In practice, that takes three forms, with one logic: saving you time, without starting from zero.

We spot the repetitive tasks eating into your days, and build the chain that runs them end-to-end, on its own.

What tasks can be automated?

As soon as a trigger fires (a call ending, an email received, a form submitted, an invoice arriving), a chain of actions runs automatically through to the final result. At Ori: at the end of a video call, the AI records the conversation, transcribes it, then automatically generates the quote and to-do list that follow. The same principle applies to sorting inbound emails, invoicing and admin, sales follow-up (CRM, reminders, files) and reporting (dashboards updated with no manual copy-pasting).

How do we go about it?

We start by mapping your current processes to spot where you're losing time. We identify the most repetitive and costly tasks, then build the automation around your existing tools. We don't ask you to change how you work, we make it smoother: you validate, we adjust, and the chain runs.

The result?

Fewer errors (a machine never forgets a follow-up), more consistency (every task is handled the same way, every time), and a team refocused on what actually creates value.

We connect AI to your tools and configure it to answer to your context, not to generalities.

What can your AI assistants do?

We build assistants specialised by role: each user gets their own environment (their MCP), connected to your data and processes. They can answer your team's questions (finding an answer in seconds instead of digging through ten folders), assist your customer support based on your catalogue and past exchanges, support your sales reps (preparing a client file, summarising history, suggesting the next move), and act, not just answer: create a task, update a record, send an email.

How do we go about it?

We define who needs what, connect the assistant to the right data sources, and configure it role by role. We test with your teams, adjust based on their feedback, and the assistant improves with use. You stay in control of your data: we connect to your environment, not the other way round.

The result?

Your teams have an expert available at all times, your know-how is put to work instead of sleeping in files, and your everyday tools finally become pleasant to use.

When your core business is data, we give you the right tools to go and get it wherever it lives.

What can we do with your data?

We build AI systems that automatically collect information wherever it lives (public sites, platforms, existing databases), then clean it and organise it into the format you need. From competitive and price monitoring to track a market's prices and news, to structuring scattered data into one coherent view, to enriching your customer or prospect databases and dashboards fed continuously.

How do we go about it?

We start from your need: what data, for what decision? We identify the right sources, build the collection and cross-referencing system, and deliver the data in the format that actually serves you (a dashboard, a file, or directly inside your tools). Always within the legal framework: we tell you upfront what's possible and what isn't.

The result?

Data stops being a dormant resource and becomes a competitive advantage. You see what your competitors don't, you decide faster, and you're better informed.

AI isn't reserved for tech and developers, it applies to almost every department of a company. Here's where, used well, it makes a difference:

For your sales teams

Prepare a client file in an instant, summarise an account's history before a meeting, update the CRM automatically, or generate the quote as soon as a call ends. Your sales reps spend less time on data entry, more time selling.

For your customer relationship

An assistant that answers routine requests around the clock, drawing on your catalogue, procedures and past exchanges. Simple questions are handled instantly, so your teams focus on the cases that need a real human touch.

For your admin and accounting

Generating quotes and invoices, automatic reminders, sorting and filing documents, extracting information from PDFs. Everything repetitive and time-consuming runs in the background, without errors or omissions.

For your marketing

Analysing what works, producing first drafts of content, sorting and qualifying inbound leads to route them to the right person. You move faster, on more solid ground.

For steering your business (data)

This is where data really matters: cross-referencing information from several sources into one reliable overview, monitoring your market's prices and moves continuously through scraping, or turning scattered data into clear dashboards. You decide on facts, seeing what your competitors don't.

For upgrading your internal tools

Got an in-house tool or an old piece of software you can't do without? We can plug AI into it, add the features it's missing, or automate everything around it, to finally make it simple and fast to use.

Talk to an expert

Are you an SME?

And you're afraid of missing the AI shift.

Do you spend hours on tasks that could handle themselves?
Are your teams drowning in admin instead of their core job?
An old piece of software you can't live without, but no budget to rebuild it?
Thousands of data points, with no idea how to process or turn them into anything?

In practice : We solve these problems: we automate what's costing you time and money, your teams refocus on what matters, and your company becomes more resilient.

Are you a startup?

And you want AI at the core of your product.

You've raised, but your budget is already committed elsewhere?
You need to scale your tech fast, without spending months recruiting?
Your investors expect results, and every week counts?
You need us to give you structure so you don't spread yourself too thin?

In practice : We lay the right foundations, avoid costly wrong turns, and quickly build what matters: the speed of a senior team without the delay of a hire.

Do you recognise yourself in one of these problems? Let's talk about it!

Talk to one of our experts

Moving to AI isn't just a trend, it's taking back control over everything slowing you down today. Here's what changes in practice when you automate with AI:

A simple, structured and transparent journey: no endless tunnel, no opaque process, you know what's happening
at every step.

The opening call
Week 1
We define the scope: your problem, your goals, and what will have the most impact for you. Depending on complexity, this takes one or several calls. If the project touches an internal tool, we start with an audit of what already exists.
What you get out of it? By the end of this step, the scope is clear and you know exactly what we're going to build.
Development
Week 1 to 5
We move into building, with a weekly check-in to track progress together. Your dedicated project manager keeps the link, answers your questions and adjusts based on your feedback.
What you get out of it? You never have to wonder where the project stands: you stay in the loop at every step.
Delivery
Week 5
We deliver an operational, ready-to-use project, in most cases in under 5 weeks. We connect you to your own environment, make sure everything works, and support you as your team gets up to speed.
What you get out of it? You walk away with a tool that runs, ready to be used by your whole team.

Discover our engineering team and project managers

A simple, structured and transparent journey: no endless tunnel, no opaque process, you know what's happening
at every step.

W1W2W3W4W5W6

The opening call

Week 1

We define the scope: your problem, your goals, and what will have the most impact for you. Depending on complexity, this takes one or several calls. If the project touches an internal tool, we start with an audit of what already exists.

What you get out of it? By the end of this step, the scope is clear and you know exactly what we're going to build.

Discover our engineering team and project managers

We move fast, because we freed up our own time

Everything we offer you, we built for ourselves first: our agency runs this efficiently because we've automated our own operations top to bottom. As a result, all our projects can be delivered in under 5 weeks, from the first call to go-live.

We set a strict scope, and guide you through to delivery

From day one, a dedicated project manager works with you: a single point of contact who knows your project from A to Z. Together we define a precise scope, prioritise what has the most impact, and keep you posted with a weekly check-in.

Full transparency, with clear pricing on costs

No extra fees, no hidden costs. We explain from signature what your project will cost, from build to usage. Once your product is delivered, we connect you to your own Claude account: your tokens are billed directly to you, we make nothing on that usage.

Full ownership of your data

We connect to your own environment, not the other way round. Your data stays with you and you keep control end-to-end: each assistant, each user only accesses their own data, within the legal framework, GDPR included.

Engineers, not just developers

We don't just write code: we think through your problem first. Before starting any development, we look for the simplest, most solid solution, the one that will actually answer your need.

First interviews run 24/7, with the same evaluation for every candidate: Tami automates the screening so you can focus on the human side.

Context: The first recruiting interview is a bottleneck: time-consuming for recruiters, hard to schedule, and rarely consistent from one candidate to the next. Tami wanted to free HR teams from this repetitive step to refocus on what matters: the human side.
Challenge: Reproduce the richness of a real interview led by a recruiter, but automated and available around the clock: an AI able to hold a voice conversation, understand answers in real time and assess skills reliably and objectively.
What we built: An HR-tech web app built in React Native and Java, where the AI simulates a real phone interview. With real-time voice-to-text conversion, it analyses candidates' answers, assesses their skills and automatically generates detailed evaluation reports, with instant feedback.
Result: An HR solution that automates the first interview end-to-end, standardises evaluation and makes the process available 24/7. Recruiters focus on high-potential candidates instead of sorting CVs.

Discover how to automate your recruiting with AI

See all our projects

Building AI and automation can carry a real cost. The first worry is usually: "How much will this cost me, and will it be worth it?" That's a fair question, and one worth answering so you can get started without a bad surprise along the way.

The two costs of AI

We give you a precise range for both, from the first conversation, so you know exactly what to expect before committing.

one-off

The build cost

Our design and setup work. A one-off investment, scoped and announced upfront.

a few € / month

The usage cost

AI consumes "tokens" with every use, and tokens have a price. A recurring cost, proportional to your actual usage (usually a matter of euros, not thousands of euros a month).

€0 margin

Transparent, right down to the bill

Our principle: we connect you to your own Claude account, not ours. The tokens you consume are billed directly to your account, by Anthropic. No middleman, no hidden margin on usage. You see exactly what you use and what it costs, in real time.

Making AI profitable is our job

Talking about cost only makes sense alongside what it delivers. We don't plug AI in everywhere "to look modern". We target the automations with the strongest return first.

impact

We prioritise impact.

We start with the most time-consuming and costly tasks, the ones where every euro invested pays back fast.

zero waste

We optimise usage.

A well-designed automation consumes exactly the tokens it needs, with no waste.

measured gain

We measure the gain.

From the first weeks, you see concretely the time and costs saved.

Ori's hack

The virtuous circle of automation.

By serving your customers better and faster, you build loyalty and attract new ones. As activity grows, you don't need to rush to hire to keep up: your automations absorb the extra volume with no effort. Your revenue climbs, your fixed costs don't move.

In most cases, automation pays for itself within a few months, and keeps paying off, month after month, long after delivery.

AI isn't a magic wand that turns you into a domain expert in seconds. It's a very powerful tool that gives its best, and avoids the worst, when used with the right method.

Start with serious scoping

It's the step we tend to skip, and yet it's the one that makes all the difference. Before plugging in any AI, you need to answer three simple questions: what precise problem am I solving? What does a good result look like? How will I know it's working?

A poorly scoped project means AI answering the wrong question, budget wasted, and a discouraged team. That's why, before building anything, we always start with a full audit: the foundation of our work is your problem, not the technology you'd like to use.

Learn to write a good prompt

The quality of an AI answer depends directly on the quality of the request. A good prompt follows a few simple rules:

Be precise and explicit. "Summarise this document" gives a vague result. Try instead: "Summarise this document in 5 key points for a busy executive".
Give context. AI doesn't know your company. The more role, constraints and relevant information you provide, the more accurate the answer.
Show examples. One or two examples of the expected result beat a long paragraph of explanations.
Ask for a precise format. A table, a list, an email ready to send: if you don't specify it, the AI chooses for you.
Break down complex tasks. For a hard reasoning task, ask the AI to proceed step by step rather than answer in one block.

Our job is to bake these best practices directly into your tools: the right prompt is already in place, behind the scenes. Your teams ask their question normally, the tool handles the rest.

Secure your information

This is non-negotiable, especially in France where GDPR strictly governs personal data. A few good habits to have:

Know what you're sending. Before connecting AI to a data flow, identify what's in it, in particular anything personal or sensitive.
Expose only what's needed. A well-designed automation only sends the AI the information useful to the task, not your whole database by default.
Keep control of your access. Each assistant, each user should have access to their own data, and only their own.
Stay within the legal framework. For collecting external data as well as processing your internal data, we check upfront what the law allows, or doesn't.

Our core principle: we connect you to your own environment, your data stays with you, and you keep control end-to-end.

The most common questions we get about AI and data.

No, and that's a deliberate choice. We connect the best AI on the market (like Claude) to your tools and configure it for your business. It's faster, more reliable, and you don't depend on an in-house model that's impossible to maintain. Our value is connecting AI intelligently to your business, not building new technology.

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