AI Native Services
Building AI-Powered
Futures, Together.
We don’t talk about AI from a theoretical standpoint. We have redesigned our day-to-day operations around it: how we sell, build, develop talent, and govern. Now, we bring what we’ve learned to your organization.
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Explore our portfolio
01.
FROM IDEA TO DELIVERY
AI-Native Product
Delivery
"AI doesn’t speed up the code.
It speeds up the path toward it."
What hurts today? //
Most incorporate AI when it comes time to write the code, yet the bottlenecks remain in the preceding phases. And as agents are added to the development process, a new challenge emerges: maintaining traceability of decisions.
AI-accelerated discovery.
What to build. The product is defined in phases.
IAgile Flows
How to integrate AI. Design the workflow. Determine what to delegate to AI agents.
Agentic Studio
Determine the necessary agent architecture. Create the project blueprint.
L.U.C.I.A. (IA Lifecycle)
Connect what has been decided with what has been built. How it makes its way into the code. Development best practices and DevOps.
AI-accelerated
Discovery
Phased discovery using AI across 6 out of 9 artifacts, and two own agents.
01
What it solves
It reduces the discovery phase from one month to three days.
We apply AI to each individual artifact and measure which ones show improvement.
The value lies in the method, not the tool.
02
How it uses AI
Evaluate the definition against IEEE 830, compare the sessions with the written documentation, and generate the BPMN and the Value Proposition Canvas.
IAgile Flows
Design end-to-end product management, and delegate tasks to AI agents until a stable workflow is achieved.
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What it solves
Poorly conceived upstream processes, AI implemented at scale without adequate support, and excessive ambition all at once. The result: bottlenecks and a decline in the quality of deliverables.
02
How it uses AI
Gradually, increasing the level of detail and the degree of delegation to agents, to the extent that each activity allows. No more, and no sooner.
Agentic
Studio
Determine the agent architecture required for a project, and output its structure in an open standard format.
01
What it solves
Choosing the wrong architecture is the costliest mistake, and no one else shares the burden of that decision. By starting from the current state of the art, you can better determine the appropriate topology, level of maturity, and verification indicators.
02
How it uses AI
Interview the user, apply a verifiable criterion, and generate the structure in SKILL.md, a format compatible with any assistant. Additionally, explain the rationale behind each decision.
L.U.C.I.A.
A methodology for governing the downstream phase of AI development, built on Git and incorporating development and DevOps best practices.
01
What it solves
If individuals use AI on their own, the resulting code may work, but it becomes unmaintainable. L.U.C.I.A. separates the "what" (vision and requirements in Gherkin) from the "how" (specialized agents) and automates the bridge between them.
02
How it uses AI
A Product Owner agent creates tasks based on the vision. In each repository, another agent designs, programs, and opens a merge request. The review is performed by a human.
01.
DE LA IDEA A LA ENTREGA
AI-Native Product
Delivery
"La IA no acelera solo el código.
Acelera el camino hasta él."
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02.
AI LITERACY AS SOMETHING MEASURABLE
AI-Native People
“Talent can also be optimized”.
What hurts today? //
Article 4 of the European AI regulation requires organizations to take measures to ensure an adequate level of AI literacy. However, self-perception is not enough: competencies must be assessed using objective criteria.
SEC
Starting point. Support for candidate interviews. Assistance with the selection process.
AI Academy
Develop the necessary skills. Train using a personalized learning path.
AI SkillUp
Understand what each person knows how to do. Assess their actual level.
SIAE
Connect people and evaluation. Cross-reference staff with results.
Generative
AI Policies
Game rules. AI usage framework. Corporate policies.
Agile role
Apply that logic to Agile. Specialization for Agile roles.
SEC
Application to support the selection process: it centralizes candidates, job openings, and processes, and provides a technical interview screen that displays the CV, notes, and questionnaire all at once.
01
What it solves
It centralizes information for tracking purposes and generates custom questionnaires based on the job description and any additional input provided. It eliminates the manual effort of data collection and supports the entire process.
02
How it uses AI
An agentic system generates the questions and evaluates the answers.
AI Academy
Five-module pathway with tracks for each discipline.
01
What it solves
Training in AI without a structured path produces people who have watched videos but don’t know how to apply anything. The knowledge never translates into real-world work.
02
How it uses AI
The training is structured as a five-module pathway, with discipline-specific tracks that integrate AI into the daily work of each professional profile. Furthermore, an individual’s enrollment and the specific path they follow form the foundation upon which their actual proficiency level is subsequently measured.
AI SkillUp
Assess each person's actual level of AI competence based on evidence.
01
What it solves
A comprehensive, end-to-end assessment places each individual at a level from L0 to L4 across five common axes, ultimately identifying both strengths and areas for improvement. The entire assessment is aligned with the dimensions of AI literacy set out in Article 4 of the European AI Regulation.
02
How it uses AI
A conversational agent interviews each professional in an adaptive manner, using questions tailored to their specific discipline. At the end, it generates a prompt for a "gem”: a tool for practicing and improving in the identified areas.
SIAE
Formative monitoring and assessment tool.
01
What it solves
It tracks who is enrolled, who is making progress, and who has completed the courses; by cross-referencing this with lists of employees per client, it makes it possible to identify those who are not enrolled and individuals who have not been evaluated.
02
How it uses AI
It doesn’t use AI: it integrates data from Moodle and Firestore, and generates the report.
Generative
AI Policies
Corporate AI usage framework.
01
What it solves
Without a written policy, there is nothing to show to a client or a regulator. Training staff in AI requires Kairós to have a policy tailored to its employees. We create the written and reviewed policy, along with the publishable material derived from it.
Agile Role
Assess maturity levels and progress in Agile roles, leveraging AI SkillUp.
01
What it solves
When a company introduces new agile roles, it needs to support their adoption and measure the extent to which each role has been assimilated.
02
How it uses AI
The solution features a conversational agent that assesses the level of knowledge absorption and experience gained in a role, and generates objective reports for sponsors, without requiring additional tools or taking up the time of others.
02.
ALFABETIZACIÓN DE IA COMO ALGO MEDIBLE
AI-Native People
“El talento también se optimiza”:
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03.
AI TAKES ACTION, WHO GOVERNS IT?
AI-Native
Governance
“Frictionless control”.
What hurts today? //
There are four issues that, in many organizations today, still lack a clearly designated person responsible for them: it is unknown how many agents exist, there is no repeatable process for deploying them into production, there is a lack of evidence to present to regulators, and the true cost of each individual case is unknown.
AI Assets
Hub
Knowing what you have
Obs IA Agentic
To know what is happening
Obs AI Resources
How the ecosystem is used
AI Marketplace
Govern
AI Assets
Hub
Internal platform for managing and distributing reusable AI resources: prompts, skills, agents, and playbooks.
01
What it solves
Provides controlled visibility into in-house AI assets: covering four resource types, complete with descriptions, content, and authorization levels based on both discipline and client. It allows for assets to be executed online or downloaded. Without this, teams end up rebuilding what others have already created.
02
How it uses AI
The user can deploy and execute a skill directly on the platform.
Obs AI
Agentic
Observability metrics for calls within agentic applications, or via common gateways.
01
What it solves
It provides token and cost traceability for agents without the heavy infrastructure that the full version of Langfuse-ClickHouse, Redis, and S3 storage would require. The version we use runs only with Postgres.
Obs AI
Resources
Usage and performance metrics for resources generated within AI Assets Hub.
01
What it solves
Today, that figure is not measured. Obs AI Resources serves as the instrumentation for the catalog—much as Obs AI Agentic serves as the instrumentation for agents.
02
How it uses AI
In short, the approach depends to a large extent on the underlying language model.
AI
Marketplace
An agent governance platform deployable within the client’s infrastructure: register, govern, and measure all your agents, with auditable lifecycle gates and risk classification in accordance with the European AI Regulation.
01
What it solves
Four problems that currently lack clear ownership in most organizations: the inventory of agents, the path to production, regulatory evidence, and opaque costs. The guiding metric is the cost per resolved case.
02
How it uses AI
Register and govern client agents (both your own and those from the Kairós catalog), with a lifecycle that is auditable and traceable in accordance with the European AI Regulation.
03.
LA IA ACTÚA, ¿QUIÉN LA GOBIERNA?
AI-Native
Governance
“Control sin fricción”:
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04.
FROM THE TENDER DOCUMENT TO THE PROPOSAL
AI-Native Bids
Apply for what’s a good fit.
And draft the application in a matter of hours.
What hurts today? //
Tender opportunities go unnoticed because no one has the time to review them. And when there is time, preparing the technical proposal takes weeks, with a significant risk: a single fabricated reference can get you disqualified.
Radar
Monitor the official tender bulletin. Filter by CPV and evaluate.
GAP
Drafting of technical proposals for tenders. Section by section. Human approval at every stage.
Radar
Automated monitoring of tenders from the official gazette. Filter by CPV codes, assess suitability, and view opportunities in a prioritized inbox.
01
What it solves
No relevant tender goes unnoticed. Analyze tender documents in minutes: extract criteria, requirements, deadlines, and ambiguities. When in doubt, prioritize coverage over precision; discarded tenders are never deleted or hidden.
02
How it uses AI
An agent-based system that evaluates how well each tender aligns with the company’s service offerings.
GAP
The Proposal Assistance Generator (GAP) is a web application that assists in drafting technical proposals for tenders (LCSP) and RFPs, featuring a phased agent supported by a proprietary corpus.
01
What it solves
GAP transforms a set of requirements into a complete, verifiable, and traceable technical proposal, reducing both time and errors. It allows for the regeneration of specific sections without affecting the rest, and it self-evaluates against the requirements criteria before generating the final document.
02
How it uses AI
The process proceeds through six phases, with human approval required at each step: objective, scope, requirements, evaluation criteria (including their respective weightings), and economic terms. The economic component remains 100% intact, with no AI involvement.
04.
DEL PLIEGO A LA PROPUESTA
AI-Native Bids
"Presentarse a lo que encaja.
Y redactarlo en horas."
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Así se ve la IA cuando es más que un PowerPoint
Cada producto nació de un problema real que tuvimos que resolver. Vender, construir, formar y gobernar con IA: cuatro problemas, cuatro módulos. Esto es lo que ya funciona hoy y lo que estamos construyendo para mañana.
Our teams
are already applying these products
for
our clients.