Integration programme
Process your information with AI without it leaving your company.
For organisations handling sensitive information, their own or third parties', that cannot, or will not, send it to an external API. Open models on your own infrastructure, commercial models only when a rule allows it, and every decision recorded with its reason.
The problem
Cost, compliance and reliability. Today you pick two.
When an organisation processes information with AI, three tensions appear at once and the usual answers resolve only two.
Cost
Repetitive volume on commercial models scales badly. What was affordable at small scale stops being so as volume multiplies. And the cost is unpredictable: you cannot foresee how many tokens your future activity will need, nor what they will cost on commercial models.
Compliance
GDPR, the EU AI Act, your ISO certification and your own clients' contracts all constrain where the information you handle may go. Sending it to an API outside the EU is a risk, or simply not permitted.
Reliability
Local models let you cut cost without affecting the outcome, when applied where they belong. Because degrading the quality you get is not an option when an error carries legal consequences.
What we do
The bulk of the work stays with you. The hard cases go where they need to.
We build and operate an AI environment inside your infrastructure, with open models resolving most of your volume without your information leaving your perimeter.
Cases the local model cannot resolve with sufficient confidence escalate to a commercial model or to human review, according to what each of your own clients' contracts permits. Every decision is recorded with its reason, which is what makes the process auditable: what you show an auditor is not a log of what happened, but why a given document did or did not leave.
You decide what may cross the threshold. We measure whether the system is still getting it right and adjust the rules when it stops. We do not hand you a system to maintain: we operate it, and the quality stays our responsibility.
Who it is for
It is not for everyone, and we would rather say so upfront.
This makes sense when both conditions hold. If only one does, we will tell you in the first conversation rather than sell you a project.
High, repetitive volume
Classifying, extracting from or indexing information on a recurring basis, not occasionally.
A real data constraint
GDPR or the EU AI Act. A certification, a sector regulation or, most often, contracts with your own clients that do not all say the same thing: one forbids their information leaving and another does not. Today that forces you to run two separate processes.
Who you work with
Two partners, no management layer, and training for the people who have to defend it.
Kairos Tek is two partners. One has spent more than twenty-five years creating digital product at Telefónica and, in parallel, spent a decade advising Europol, the European Commission and the Bank of Spain. The other has spent twenty-five writing code and has been CTO at eight companies; seven of those years as CTO of Del Romero Abogados, a law firm where everything crossing the systems is covered by legal professional privilege. There is no management layer between them and you, because there is nobody else.
That combination is exactly what this requires. Bringing AI into a regulated process handling sensitive information is not only a technical problem: it is deciding what may leave your perimeter, being able to defend it to your clients, and getting your team to actually use it. When you tell us your documents cannot leave your servers, you do not have to explain it to us: we have worked that way for seven years.
And we train your team, which is where most of these projects fall over. Not an operations manual: what changes for the person who used to classify everything and now reviews exceptions, how to defend to an auditor why a document did or did not leave, and how consistent judgement from your own people is what lets us measure whether the system is getting it right. We have been doing this for years with Europol, the Guardia Civil, the Bank of Spain, IE Business School, IEB, ESIC and AFI, among more than twelve institutions.
We are integrating this line alongside a limited number of organisations that have the need today, working with their teams and on their real processes. If that is your case, let us talk.
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Do you process sensitive information at volume?
A one-hour technical conversation is enough to know whether this fits. Tell us what information you process, at what volume, and what constraint you have.