ThreeStepTech AI Pricing

Most AI projects stall at the demo. Ours run every day.

We build AI assistants, automations and custom tools that answer your enquiries, handle the admin and work inside the software you already use. For businesses that want the results without hiring an AI team.

You work directly with the engineer who builds it. A fixed-price audit first, then a costed plan you keep either way. Based in Marbella, working remotely across Spain, the UK and Europe.

Running in real businesses, not prototypes
Direct with the engineer
Fixed-price audit, then a costed plan

You can see what AI could do for you. Getting it working is the hard part.

Most businesses have watched the demos and tried a tool or two. What they do not have is something running every day that saves real hours. That is the gap we close.

The demo worked. Nothing shipped.

The trial looked great, then fell over on logins, permissions, errors and the real volume of data.

Hiring for it is slow and expensive

People who have put AI systems into daily use are rare, cost a lot, and are not on the market for long.

A chatbot that cannot touch anything

An assistant with no access to your CRM, inbox or documents can answer questions. It cannot do work.

Nobody looks after it

AI tools drift as the models change and costs creep up. Without someone watching, quality quietly drops.

The real work is the unglamorous part: connecting your tools, testing on real data, controlling cost and handling what goes wrong. That is what gets a system live and keeps it there.

Five things we build and run

Working systems, scoped and shipped. Not workshops, not strategy decks.

AI Assistants That Get Work Done

When one chatbot answering questions is not enough.

A team of specialised assistants, each with one clear job, sharing one memory, with a control layer that decides what runs, in what order, and what happens when a step fails.

  • Each assistant given one clear job and a handover path
  • Shared memory, so nothing is explained twice
  • Connected to your tools through MCP, the open standard for AI tool access
  • Retries, fallbacks and escalation to a person
  • Tested against real traffic before and after launch
See pricing →

AI Inside the Software You Already Use

When the AI has to work inside your CRM, accounting, booking or ticketing system.

We connect AI models to the systems you already run, including the logins, permissions, rate limits and data mapping that trial projects skip.

  • Connections to your APIs, webhooks and databases
  • Structured, checked output so your records stay clean
  • Permissions and a full audit trail of every action
  • Cost and speed budgets set up front
  • Safe fallback when the model is unsure
See pricing →

Copilots for Your Team

For the team making the same judgement call two hundred times a week.

Purpose-built screens where the AI does the first pass and a person approves, corrects or overrides. Built for the specific job, not a general chat box.

  • Review-and-approve interfaces
  • Triage, routing and classification tools
  • Drafting and summarising inside the workflow
  • A person always in the loop where it matters
  • Every correction captured to make it better
See pricing →

Answers From Your Own Documents

When the answer exists somewhere in twenty years of files.

We ingest, organise and index your documents so staff and customers get accurate answers, with your access rules respected and accuracy measured rather than assumed.

  • Ingest from file stores, email and databases
  • PDFs, scans and structured formats handled
  • Search that understands meaning as well as keywords
  • Respects who is allowed to see what
  • Accuracy measured, not assumed
See pricing →

We Keep It Running

For systems already live that nobody in the business is watching.

We build it and we run it. Monitoring, testing against real traffic, cost tuning, and updates as your data and the underlying AI models change.

  • Uptime, speed and error monitoring
  • Output quality checked on live traffic
  • AI spend tracked and reduced
  • Model upgrades tested before they go live
  • Ongoing fixes as new edge cases appear
See pricing →

Case study: AIOS

The AI system we built and run ourselves. It operates ThreeStepTech every day: inbox, calendar, payments, CRM and follow-up. Everything described above exists here first.

Five assistants, one memory

Each assistant owns one part of the business and has its own tools and instructions. All five read and write the same memory, so context carries between them and across sessions instead of resetting every conversation.

68 actions over MCP

Every action the assistants can take, from sending an email to updating a deal, reaches them as a typed tool over MCP, the open standard for AI tool access. New actions can be added without rewriting the assistants, and every call is logged.

Memory that finds the right facts

Five kinds of search, by meaning, by keyword, by recent importance, by what the other assistants have done, and by the current thread, merged into one briefing per request. When two facts disagree, it flags the contradiction instead of silently picking one.

Live integrations

Gmail, Google Calendar, Stripe, GoHighLevel and Telegram. Real inbox, real calendar, real payments. There is no test environment where a failure could go unnoticed.

The stack

A Next.js dashboard on Supabase, a Node service layer holding the assistant runtime and integrations, and a Python bridge for voice. The runtime drives Claude through the Agent SDK. It is a working system, not a chat window bolted onto an API call.

Running daily

In continuous use for months on live accounts, not a demo. It has already survived model upgrades, API changes and the edge cases nobody plans for at the start.

AIOS itself is not for sale. It is the proof: this has been built end to end and kept running under real load. We build systems like it for clients as their own private AI operating system, trained on their documents, processes and data.

Start with the audit

One fixed-price starting point. Everything after it is scoped from what the audit finds, not from a guess.

Start here

Fixed price, fixed scope, fixed timeline. You keep the plan either way.

Consulting Day Rate
€ 600-850 /day

For teams that want an engineer working alongside them, or technical direction on their own AI plans, rather than a fixed deliverable. Booked in blocks of three days or more.

  • Architecture and technical direction
  • Hands-on implementation alongside your team
  • Code review on existing agent work
  • Vendor and build-versus-buy assessment

Implementation

Scoped from the audit. The range depends on how many systems we connect and how clean your data is.

Implementation Build
€ 10-25k

Building and launching the system the audit specified. Typically four to ten weeks, delivered in stages you can review, not one handover at the end.

  • Multi-agent systems and orchestration
  • LLM integration into your existing systems
  • Internal tooling and operations copilots
  • Document and data pipelines with retrieval
  • Evaluation harness and monitoring shipped with it
  • Code and infrastructure in your accounts

Running it

AI systems drift as the models and your data change. These plans are for teams that would rather not hire someone to watch for that.

Managed Automation Ops
from € 2,500 /month

Monitoring, testing and improvement of a system that is already live.

  • Uptime, latency, and error monitoring
  • Output quality evaluated on live traffic
  • Token spend tracking and reduction
  • Model migration and regression testing
Embedded AI Partner
€ 5,000 /month

Reserved build time each month for companies running several systems or expanding AI into new parts of the business.

  • Everything in managed ops, across multiple systems
  • Reserved build capacity each month
  • Technical direction on your team's own AI work
  • Priority response and direct access

The audit is the only fixed price on this page, and that is deliberate. Build and monthly figures are ranges because the cost depends on how many systems we touch and how clean the data is, and the audit establishes both. Day-rate work is available without an audit where you already know what needs building. All prices are in euros.

How this is different

Three practical differences, not slogans.

No middle layer

You brief the engineer and the engineer writes the code. Nothing is relayed through an account manager or passed to a team you never meet.

Production is the deliverable

A demo is not a milestone. We measure the work by what is running on real traffic with monitoring attached, not by what was shown on a call.

You own the output

The code and infrastructure live in your accounts. The audit plan is yours whether you continue with us or take it elsewhere. No black box you cannot leave.

How it works

Three stages. The first has a fixed price, and the second is scoped from what it finds.

01

Audit

Two weeks mapping how work moves through your business and which systems need connecting. You get a costed build plan naming what to automate, what not to, and in what order.

02

Build

Built in stages you can review as we go. Testing and monitoring ship with the system rather than being added after something breaks.

03

Run

Handover to your team, or we keep running it for you if you would rather not hire someone to watch for model changes, cost creep and new edge cases.

Audit: two weeks. Build: four to ten weeks depending on how many systems are involved. Remote across Spain, the UK and Europe, with US time zones covered by agreed overlap hours.

Common Questions

What is the AI Automation Audit?

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Two weeks, fixed scope, €3,500. We map how work currently moves through your business, work out what can genuinely be automated with today's AI, and give you a costed build plan with the order to do it in and the risks to watch. You own the plan whether or not you continue with the build.

Who does the work?

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You work directly with the engineer who builds it. There is no account manager in between and no outsourced delivery team. That is a feature and a constraint: capacity is limited, so we take on a small number of builds at a time.

Do you work with companies outside Spain?

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Yes. We are based in Marbella and work remotely with clients across Spain, the UK, Europe and the US, with overlap hours agreed at the start. Most build work happens asynchronously, with scheduled review calls.

Our last AI project never made it past the demo. What is different here?

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Demos fail on the parts nobody plans for: logins and permissions, rate limits, error handling, testing, cost control, and connecting to systems that were never designed for AI. The audit prices those in before anyone writes code, and the build treats them as the main work rather than as edge cases.

What does an implementation cost and how long does it take?

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Builds run €10,000 to €25,000 depending on scope, typically four to ten weeks. Day-rate work is €600 to €850 per day where you want an engineer alongside your team rather than a fixed deliverable.

What happens after launch?

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Managed automation ops runs €2,500 to €5,000 per month: monitoring, testing against real traffic, model and cost tuning, and ongoing improvement. AI systems drift as the models and your data change. Handing over the code and walking away is how they quietly stop working.

Where does our data go?

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Every build is its own separate deployment with its own database. Nothing is shared between clients. The system runs in your cloud account, or in one we set up and hand over to you. Your documents and internal data are never used to train external AI models, and data boundaries are agreed in writing before any build starts.

Two ways to start

Start the audit

€3,500, two weeks, fixed scope. A costed build plan you own, whatever you decide to do next.

Start the Audit
or

Book a free call

Thirty minutes on what you have tried, what stalled, and whether we are the right fit. No pressure, no commitment.

Book a Free Call

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