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AI automation, built around your business.

We analyse the repetitive processes in your company and make your systems, your data and AI work on their own. Invoices that post themselves, leads that end up as meetings, and customers answered at any hour.

Supplier invoices

Posted

In
A PDF attached in the invoices inbox
What it does
Reads supplier, date, net, VAT and total, and checks they add up
Out
Invoice posted in your accounting software
Human review
Only the ones that do not match or exceed the amount you set
Connects to
Your inbox and your accounting software

From lead to meeting

Meeting booked

In
A contact from the website, WhatsApp or a campaign
What it does
AI qualifies it, records it in the CRM and assigns a rep
Out
A meeting booked in the rep’s calendar
Human review
The rep confirms and decides on the special cases
Connects to
Your website, your CRM and your calendar

AI phone support

Request handled

In
A phone call, at any hour
What it does
Understands what the caller needs and queries your systems
Out
Booking made, case opened, or call transferred
Human review
You set what it resolves alone and what it always transfers
Connects to
Your phone system, your CRM and your calendar
Example specs

Start here

Five automations with a clear return

You do not need to automate everything at once. These five are the easiest to understand, the fastest to build and the ones that show up most clearly in the numbers.

  1. From lead to meeting, automatically

    Lead capture and qualification

    Every incoming contact gets qualified, recorded and turned into a meeting or a concrete task.

    In
    Website forms, WhatsApp, Meta Ads, Google Ads, email campaigns, calls and trade shows.
    Out
    A meeting booked in the rep’s calendar, or a task prepared with the full context.

    Outcome: A reply within minutes at any hour — the single biggest lever on lead conversion.

    See the full spec : Lead capture and qualification
  2. Invoice, order, bank and ledger reconciling themselves

    Reconciliation and financial control

    The full financial flow: what has been paid, what is pending and what does not add up — none of it by hand.

    In
    Invoices issued and received, purchase orders, bank transactions and ledger entries.
    Out
    Reconciliation done, a list of exceptions with the reason for each, and an up-to-date cash report.

    Outcome: Most transactions reconcile automatically and month-end stops being a full week of work.

    See the full spec : Reconciliation and financial control
  3. AI phone support that understands and acts

    AI phone agents

    The phone always gets answered, understands what the caller needs and gets it done.

    In
    A phone call.
    Out
    A booking, a support case, a lead, or the call transferred to the right person.

    Outcome: No missed calls at peak times, over lunch or out of hours.

    See the full spec : AI phone agents
  4. Ask your company

    Internal AI assistant for employees

    Your employees ask, and AI finds the answer across procedures, contracts, internal documentation and applications.

    In
    A question in plain language, from the browser, Slack or Teams.
    Out
    The right answer in seconds, with the exact document and section.

    Outcome: New joiners stop depending on interrupting the experienced ones.

    See the full spec : Internal AI assistant for employees
  5. Tell us what you do by hand and we will work out how to automate it

    Custom automation

    If your process does not look like any of these examples, it is probably one of the interesting ones. Tell us about it.

    In
    A process your team does manually, every week, always the same way.
    Out
    A written proposal with the scope, the estimated saving and the price, before anything starts.

    Outcome: The process that costs you most time, measured, with a proposal on the table.

    See the full spec : Custom automation

Use cases, end to end

Four example scenarios with typical companies. These are not clients: they are the kind of project we build, from the starting problem to what changes day to day.

Customer support chatbot

Example scenario: an appointment-based business such as a clinic, a training centre or a garage.

Situation
The phone and WhatsApp never stop with the same questions: opening hours, prices, whether there is a slot on Thursday. Out of hours nobody answers and some bookings are lost.
What we build
An assistant on WhatsApp and the website that answers with the business information, checks the calendar and books. If the question is delicate, it hands it to a person with the whole conversation.
What changes
Repeat questions stop interrupting the team, and appointments also get booked at night and at weekends.
Clinic assistant
  1. Customer: Hi, do you have anything on Thursday afternoon?
  2. Assistant: Hello. Thursday has 5pm and 6:30pm free. Shall I book one for you?
  3. Customer: 6:30pm please.
  4. Assistant: Done: Thursday at 6:30pm. We will send you a reminder the day before.

Appointment added to the clinic calendar

Example conversation

Internal process automation

Example scenario: a distributor that receives a lot of orders by email.

Situation
Orders arrive as PDFs and someone types them into the ERP. Then the delivery note has to be prepared, the warehouse notified and the invoice issued — all by hand.
What we build
A flow that reads each order with AI, creates it in the ERP, notifies the warehouse and issues the invoice when the goods leave. Anything that does not match lands in a review queue.
What changes
Admin stops typing orders and spends its time resolving exceptions instead.
  1. Order email
  2. AI reading
  3. Created in the ERP
  4. Warehouse notified
  5. Invoice issued

If something does not match the order goes to a review queue and a person decides.

Example flow

Internal assistant over company documents

Example scenario: a services company with a lot of documentation.

Situation
Procedures, price lists and contracts scattered across folders. New joiners always ask the same things and the answer depends on who replies.
What we build
A private assistant that answers from the company documents and cites the source of every answer. Each person only sees what their permissions already allow.
What changes
Anyone on the team finds the right answer in seconds, with the source document at hand.

How much notice is needed to cancel the maintenance contract?

Thirty days before the renewal date, and always in writing. If the customer asks later than that, the contract renews for another year.

  • Maintenance contract, clause 8.2
  • Cancellation procedure, page 3
Example answer, with its sources

Quote requests, none of them lost

Example scenario: an industrial company selling to other businesses.

Situation
Requests arrive through the website and by email. Some take days to answer and almost none get followed up if the customer goes quiet.
What we build
Every request lands in the CRM, AI prepares a first quote using the company price list for the rep to review, and the system schedules reminders when there is no reply.
What changes
No request goes unanswered, and the sales team spends its time closing rather than chasing.
  1. Day 0 The request arrives from the website or by email
  2. Day 0 Created in the CRM with a draft quote using your price list
  3. Day 1 The rep reviews it and sends it
  4. Day 5 Reminder to the customer if there is no reply
  5. Day 12 Second follow-up and an alert to the rep

Done by the automation

Example timeline

What we do

We almost always start by automating one process. From there we take AI and software wherever your company needs them.

AI process automation

Our core service. We analyse how your company works today, pick the tasks that eat the most time and build the whole flow: from the moment the document or message arrives to the moment the data lands where it belongs.

  • AI reading of invoices, orders, emails, calls and forms
  • Integration across your ERP, CRM, email, bank and spreadsheets
  • Control rules and human review where it matters
  • Rollout, maintenance and changes when the way you work changes
Request a diagnosis
  • AI implementation

    Customer chatbots, phone agents, internal assistants that answer from your own documents, and agents that work with your data — with clear limits on what they can do.

  • Custom software

    Internal tools, dashboards, APIs and integrations for when nothing off the shelf fits the way you work.

  • Websites

    Fast corporate websites that are easy to maintain, wired into your CRM and your forms so no contact gets lost.

How we work

No endless projects. We start with one process, test it on your real data, and only then expand.

Start with a conversation
  1. Step 1: Conversation

    You tell us which task eats your time. In a short call we work out whether automating it makes sense.

  2. Step 2: Diagnosis

    We analyse the process as it works today, how much time it costs and what is worth automating first. You get it in writing, with a quote.

  3. Step 3: Pilot

    We build it on a real process, with your data, running alongside how you work today, until it runs without surprises.

  4. Step 4: Live

    We move it to production, train your team and maintain it. If your business changes, the automation changes with it.

Why Klarvai

We come from software engineering
Integrations, backends and data. We know how to connect systems that do not talk to each other and build something that keeps working when nobody is watching.
We work with what you already have
We adapt to your ERP, your email and your spreadsheets. We do not ask you to switch tools in order to automate.
We start small
One process, one pilot and a result you can see. Only once it works do we talk about the next one.
A person decides what matters
Every automation has review points and we explain what it does at each step. No black boxes.
Close by, in Barcelona
We focus on companies around Barcelona and meet in person when the project calls for it.

Frequently asked questions

What is worth knowing before you start.

What is AI process automation?

It means chaining the repetitive tasks in your company so they run on their own, using AI at the points where something has to be understood — a document, an email, a phone call. A typical flow reads what comes in, validates it against your systems, performs the action, and leaves only the judgement calls to a person.

Do I have to change the software I use?

No. We start from your current tools and connect to them. We only suggest changing something when there is a clear reason, and we explain it.

What if the AI gets it wrong?

Every automation has human review points and control rules. Anything that fails them does not go through: it reaches a person with the full context to decide.

What happens to my data?

We use only the data that is needed, with permission-based access and GDPR-compliant providers. You get it in writing: what data is processed, where it is stored and who can see it.

How much does it cost to automate a process?

It depends on the process. We work with an initial rollout plus monthly maintenance, with AI usage billed separately at cost. After the diagnosis you get a written proposal with the scope and the price, before anything starts.

How long until it is running?

The timeline is in the proposal. We start with a tightly scoped pilot on a single process so you see the result early and decide how to continue.

Do you work with small companies?

Yes. Most of our projects start in companies of 5 to 100 people, with one specific process. If the process has volume and clear rules, company size is not the deciding factor.

Where do you work?

We are based in Barcelona and work mostly with companies in Catalonia, in person when the project calls for it. The rest of the work is remote, so we also support projects across Spain and in English.

Tell us which task you want off your plate

We reply by email to arrange a first conversation. If automating it makes sense, we prepare the diagnosis with the scope and the quote in writing.

Where
Barcelona

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