Pilot
Fixed price · quoted after a free call
Two to three weeks testing AI on one real task.
- The task and success criteria in writing
- A working prototype on your examples
- Measured results and cost per use
- A clear recommendation: scale or stop
Fire · What comes out
Artificial intelligence
Assistants, analysis and generation applied to what actually saves you time.
Heat where it's useful.
AI isn't a product you buy, it's a step inside your work. We find the task that eats your week, try AI on it with a small pilot and only keep what proves itself.
See packagesFireWhat comes out
Sound familiar?
If you've said one of these this month, keep reading.
We answer the same questions every day.
Someone spends hours reading long documents to find two dates.
Writing product descriptions never ends.
Everyone talks about AI, but we don't know where to start.
We tried a chatbot and it made things up.
From long to useful.
Before: a supplier email
Hi team, following our call last Tuesday I'm confirming the revised order. Because of the holiday the warehouse closes early, so the delivery moves from the 14th to Thursday the 16th, between 8 and 11. The total stays at 2,480 euros, but we need the signed delivery note back before we can issue the invoice. Could you also confirm whether the second pallet should go to the shop instead of the warehouse? Thanks, Marta
After: what AI pulls out
- Delivery
- Thursday 16th, 8:00–11:00
- Amount
- 2,480 euros
- Action
- Return the signed delivery note
- Question
- Second pallet: shop or warehouse?
Delivery moved two days. Sign the note and answer about the second pallet.
Example
Is this for you?
A good fit if
- You repeat the same writing or reading tasks.
- Your information is written down somewhere.
- You're happy to start small and measure.
- Someone can review the results.
Not a fit if
- You want AI because everyone has it.
- There are no documents or data to start from.
- Mistakes can't be checked before they go out.
- You expect it to replace your team.
How it works
Pick one task
The repetitive one: the same questions, long documents, first drafts.
Small pilot
Two to three weeks on real examples, with a person reviewing every result.
Measure
Minutes saved, errors caught and cost per use, written down.
Scale or stop
If the numbers work, it goes into daily use. If they don't, we stop there.
How long it usually takes
- 2–3 weeksPilot
- 4–8 weeksInto daily use
- Every monthImprovements
Typical ranges. Your proposal has real dates.
Where it helps
Assistants with your documents
Answers based on your manuals, policies and past emails, not on guesses.
Document analysis
Classify, summarise and extract data from contracts, invoices or forms.
Drafts and product descriptions
First versions in your voice, ready for a person to finish.
Translations with review
Fast drafts in other languages, checked by people.
Search over your catalogue
Customers find what they mean, not only what they type.
AI steps inside automations
Sort emails, read attachments or tag requests inside a flow you already have.
What it looks like in your industry
An assistant that answers common patient questions from your own information.
What it can't do.
Honest limits are part of the method.
It can be confidently wrong
So a person reviews what matters before it goes out.
Every answer has a cost
We estimate the monthly bill before building anything.
Your data needs rules
You decide what it can read and where that data goes.
Sometimes a spreadsheet is enough
If AI isn't the right tool, we'll tell you.
How much time could AI give back?
AI drafts, a person reviews. We only count the drafting time.
153 hours a year
€4,600 a year
Estimate: tasks × minutes × share × 46 working weeks. A pilot measures the real number.
Your data stays yours.
AI is only useful if you can trust where your information goes.
You decide what it reads
We connect only the documents you choose.
No training on your data
We use providers and settings that don't train models on it.
European options
Providers with data centres in Europe when you need them.
Human review
Nothing sensitive goes out without a person checking it.
Packages
Two ways to start. Prices come after a free call, in writing.
AI in production
Monthly fee · quoted after a free call
The pilot turned into a tool your team uses every day.
- Integration with your tools
- Monitoring of quality and cost
- Updates when models change
- A usage guide and team training
Is your business ready for AI?
Five questions, one minute. Then send us your result if you want a second opinion.
Answer the five questions to see your result.
Who you'll work with
Erick Lara
Founder · Web, automation and AI
You talk to the person who builds it. No account managers and no hand-offs: one person from the first call to support.
More about usTools we love.
- Claude
- Google Gemini
- Mistral AI
- Hugging Face
- LangChain
- Ollama
- Python
- Supabase
In plain words
- Model
- The AI engine that reads and writes, like Claude or Gemini.
- Prompt
- The instructions you give the model.
- Hallucination
- When the model states something false with confidence.
- Token
- The unit models are billed in: roughly part of a word.
Ask us anything.
Email usWhich models do you use?
The one that fits the task and the budget: Claude, Gemini, Mistral or open models that run on your own servers.
Where does my data go?
Only where you allow it. For sensitive data we use providers that don't train on it, or models that run privately.
Can it be wrong?
Yes. That's why every setup includes human review for what matters.
What does it cost per month?
It depends on volume. The pilot gives you the real cost per use before you commit.
Better together
Each element works on its own. Combined, they do more.
Ready to find your missing element?
A free thirty-minute call to understand what you have, what's holding you back and where to start.
Book 30 minutes freeLive
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