RealtimeData
AI agents and automation

AI agents and automation for your business

AI agents that run real work: enquiries, documents, bookings, reconciliations and reports. Built by an AI automation agency that has shipped twenty-seven production systems, most of them where shipping is hardest.

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Why most of it never goes live

Most AI automation stops at a demo. A chatbot answers a test question, a workflow runs once on clean data, and then it meets the real inbox, the real spreadsheet and the real exception, and dies before it goes live. The gap is rarely the model. It is that nobody owns the outcome, the data was never found, the definitions were never agreed, and the real process never left a record.

The fix is the same five phase method behind every one of the twenty-seven systems on the work page: someone owns the outcome, the data is found, the definitions are agreed, the real process leaves a record, and only then does anything ship. The free AI readiness diagnostic tells you which phase you are in.

What we build for this

Operations agents

Agents that take an enquiry, a document or a booking, find the data it needs, check what the terms mean in your business, act, and log what they did. The agentic operations platform reconciles and posts deposits against a ledger every day, with every node that can move money behind a gate that fails closed.

Assistants that answer from your own documents

Customer, staff and client assistants that answer from your files and records and cite the passage they used. The requirements assistant on our homepage records what you stated separately from what it inferred, and hands you to a person rather than inventing an answer.

Document intelligence

Invoices, contracts, forms, listings and reports read into structured records with the source line kept beside every field, so a number can always be traced back.

The ground it stands on

Where the data is not ready, the work starts there: data governance and data platforms, then requirements and specification written as a brief a build can be checked against.

How it stays trustworthy

Grounded, trustworthy AI is not a slogan here. It is five rules every agent we ship has to pass.

Cites its sourcesEvery answer an agent gives points at the document, record or rule it came from. If it cannot cite it, it does not say it.
Refuses to inventWhen the data is missing or the question is outside what it knows, the agent says so and stops, instead of producing a confident guess.
Stops and asks a personAnything uncertain, unusual or expensive goes to a named person with the evidence attached. The agent never acts on a hunch.
Leaves an evidence trailEvery step records the source, the definition used, the confidence, who approved it and the outcome, so a reviewer or an auditor can see why it acted.
Runs inside your perimeterModels and data run on hardware we own or on yours. Client data does not have to leave the building to be worked on.

The services behind it

From the seven AI consultancy services offered from Barcelona and Alanya, these are the ones this work draws on.

Questions people ask

What is the difference between an AI agent and a chatbot?

A chatbot answers questions. An AI agent does work: it reads the enquiry, looks up the record, decides, acts in your systems, and reports back. Ours also stop and ask a person when they are not certain, and they write down every step.

Do you build with our tools or replace them?

With yours. Agents sit beside the CRM, the mailbox, the accounting system and the booking engine you already run. Nothing is rewritten to make room for them.

How long before something is in production?

That depends on the phase you are in, which is what the free diagnostic tells you in six minutes. A company with owned data and agreed definitions ships in weeks; one without starts with the data.

What does it cost?

Nothing is priced on this site on purpose. Every engagement is scoped in writing after the free diagnostic, so the number reflects your phase and not a menu.