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Boutique AI advisory labPlatform meets consulting

AI that runs in your operations. Measured in your P&L.

We assess, build and ship production AI workflows.

Book a free intro call
See the platform
A media company blueprint: value streams and capabilities, with the AI proposing which stages of advertising sales to cover.
An AI interview in progress with a sales planner, beside the team’s interview status and live coverage of each blueprint stage.
Patterns across completed interviews, each backed by a quote, with small groups hidden for anonymity.
A process map of advertiser invoicing: actors, systems and hand-offs, with the step that costs nine hours a week marked.
AI maturity scored from one to five across areas, with the top priorities and the evidence behind each score.
Process automation candidates ranked by hours per person per week, from month-end close at 20 hours to delivery scheduling at 3, each with its readiness and quick wins flagged.
A question asked in Polish and answered from the company’s own interviews, citing the interviews it drew on.

Problem

Companies are investing heavily in AI.

Yet the impact barely reaches the P&L.

  1. 01

    Licences get bought. Copilot seats are not an AI strategy. Access alone changes nothing, and the bill grows every month.

  2. 02

    Pilots get demoed. 95% of enterprise GenAI pilots show no measurable P&L impact (MIT NANDA, 2025).

  3. 03

    The P&L does not move. Nobody owns a clear way to capture the value that was promised.

Solution

Not a slide deck. A decision your board can fund.

Every engagement ends with one page a director can sign: what to build, what it costs, who owns it, and which number in the P&L it moves.

  • One number in the P&L
  • One named owner
  • One fixed fee
Investment decisionReady for board

Order-to-cash: build the invoice-matching agent first

Value at stake
€410k / year
Build
Fixed fee · 10–12 weeks
Payback
7 months
Owner
CFO · Finance Operations
Number it moves
Days sales outstanding 48 → 39

Why

Strategy and code in one team.

Why companies that are done with pilots pick a small senior team over a big firm or a software vendor.

  • Strategy and code in one team

    Nothing is lost between the business case and the build. The people who find the value are the ones who ship it.

  • A fixed fee, agreed up front

    Scope and price are set before we start. If it takes longer than we said, that is our problem, not a change request.

  • You own what we build

    The application we build for you, its runbooks and the data from your project live on your infrastructure.

How it works

From first question to a system your team runs.

Three phases, fixed fees, and a decision at the end of each. You can stop after any of them and keep what we have delivered.

  1. 01Weeks 1–4

    Discovery Sprint

    Find the number worth building for.

    You get

    • A working prototype on your data
    • A business case with every assumption shown
    • A roadmap, ranked by value

    You decide

    Fund it, or don’t.

  2. 02Weeks 5–16

    Build

    Ship one workflow to production.

    You get

    • A live system on your infrastructure
    • Progress you can see running every week
    • Acceptance criteria agreed before we start

    You decide

    Go live.

  3. 03After go-live

    Run & scale

    Your team runs it. The next one is faster.

    You get

    • Runbooks and knowledge transfer
    • Hypercare from the team that built it
    • The blueprint reused for the next workflow

    You decide

    Next workflow, or an optional retainer.

Platform

A platform we already run in production.

You do not pay for it. It is how we start in week one and keep the price fixed.

  • Gateway

    Every model call logged and checked against your policies. Switch providers without rewriting an agent.

  • Second Brain

    Decisions, documents and transcripts in one place your agents can reach.

  • Chat and skills

    Chat with a choice of models and a shared library of prompts and skills.

  • Assessment

    AI interviews with your people map how work really happens. The roadmap is built on that.

  • Every step logged

    Your data stays yours. Every step is logged: what the agent saw, and why it acted.

  • Your application, your data

    You get the application’s code, runbooks, prompts and evals, and the data from your project. The platform stays ours.

FAQ

Questions boards ask first.

Straight answers. If yours is not here, ask us directly.

Let’s talk
We rolled out Copilot to everyone. Why hasn’t it changed anyone’s week?

Because a licence speeds up a person, not a process. Writing an email faster does not shorten the time an invoice, a claim or an offer takes to move through your company. Results change only when a whole workflow is redesigned around AI, with an owner and a number attached. That is the work we do.

Is Claritio a consultancy or a software company?

Neither on its own. Most consultancies stop at advice, and most software houses build what they are told. We find where AI is worth real money in your operation, build the system on your data, and stay until your team runs it. One team does all three, so nothing is lost between the business case and the build.

Who is this for?

Mid-market and enterprise companies that run a real operation: orders, claims, tickets, invoices, shipments or cases, with volume growing faster than headcount. It works when a named person owns the number the work would move, and when decisions get made in weeks. Messy data is fine. If you want a tool licence or a single chatbot, we are not the right fit.

Where do we start? Can we go straight to building?

Start where you are. A free 30-minute call tells you whether AI is the right instrument for your problem and roughly what it would cost. The Discovery Sprint takes three to four weeks at a fixed fee and ends with a working prototype, a business case and a roadmap. If your use case is already validated, we go straight to the build.

How long until we see results, and what do you need from us?

Three to four weeks to a working prototype on your real data and a business case. Ten to twelve weeks from there to a live system in your production environment. From you we need a named owner of the outcome, two people empowered to decide, and access to the data and systems involved. You see the work running every week.

Will we own what you build?

You own the application we build for you: its source code, runbooks and tests, and the data created during the project, including what our platform produces for you, such as interview results and the knowledge base. Our platform, models and methods stay ours. They are what let us start in week one and keep the price fixed, and we reuse them on every project.

Report · AI in 2027

Join the waitlist for our report.

We asked leading market experts for their predictions on what will change in AI in 2027.

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Ways to start

Two services. One senior team.

Fixed fees. Strategy in 3 to 4 weeks. A live agent in 10 to 12.

Where are you today?

  • AI Strategy

    3–4weeks · fixed fee

    • Ten to twelve candidate use cases, each with a value attached
    • Scored on value and feasibility
    • On your real data, awkward cases included
    • Written to survive a finance review
    • Then one call: fund it, or kill it
    Let’s talk

  • Custom AI Agents

    10–12weeks · fixed fee

    • For companies with a validated use case, ready to ship
    • A live agent in your operation, visible in your P&L
    • On your infrastructure or an EU cloud you approve
    • Every step logged: what the agent saw, and why it acted
    • Code, runbooks, prompts and evals handed over
    Let’s talk

Let’s talk

Let’s find the number worth building for.

Tell us where you are. We will tell you where to start. A founder replies within two working days. No sales deck.

Or write to us · hello@claritio.com

We use your details only to reply to you. See our privacy policy.