AI process automation

Automate processes with AI that reaches production, not a demo.

Pilot automation: one real process of your company running in production in 2 weeks, with two senior engineers and a working CTO who reviews the case before you start. Closed price: €5,000. Then an AI proof of concept in 3 weeks (€9,000) and an MVP in production in 6, with LLMs, RAG and agents inside your perimeter.

WHY NOW

The forces that will not wait for your pilot.

The market, the regulation and the cost of running models are converging on the same year. Every figure on this page has a named source.

≥ 50 %of generative AI projects are abandoned after the proof of concept

AI is already infrastructure. Half of it never ships.

Gartner's 2026 read: at least one in two generative AI projects dies after the POC, for four reasons: data, controls, cost and unproven value. The model is rarely the culprit. The perimeter and the operation around it are.

Source: Gartner, 2026

96 → 29 %of executives call secure, responsible AI key to the business; that many have a programme running

The regulation is binding. Most companies are still at the slide.

DORA has been in force since 17 January 2025 and makes an AI vendor a third-party ICT provider for any bank or insurer: register, exit plan, incident reporting. The AI Act's obligations phase in between 2025 and 2027. Neither waits for the pilot to finish.

Sources: NTT DATA, 2026 · Regulation (EU) 2022/2554 · Regulation (EU) 2024/1689

1 of 4of the reasons a POC dies is cost. The other three are data, controls and value.

The price per token falls. The cost of production does not.

Model prices drop every quarter. What you pay in production is inference inside your perimeter, evals, guardrails, access control and the people who operate it. That line decides go or no-go, and no vendor's price list shows it.

Source: Gartner, 2026

Rows of server racks in a data center: where AI runs once it leaves the pilot

AI LAUNCHPAD

We have been piloting for months. How do we get to production?

Every step can be declined without losing the previous one: pilot automation in 2 weeks (€5,000), proof of concept in 3 (€9,000) and an MVP in production in 6 (from €10,000), always with a written scope, written success criteria and a closed price. A working CTO designs the next step only once the previous one works.

Our AI Launchpad helps you:

  • Align AI efforts with business objectives and KPIs
  • Validate ideas, features and use cases
  • Map user journeys to ensure adoption and value
  • Develop a scalable architecture framework
  • Provide a strategic implementation roadmap
Let's talk about your AI project →
1

Discovery

We understand your business, define success KPIs, and evaluate the technical feasibility of the proposed AI solution.

2

Design

We define the system architecture, necessary data sources, and the most suitable modeling approach for your case.

3

Development

We build a functional MVP with real data, operational integrations, and an interface your team can evaluate directly.

4

Validation

We measure results against defined KPIs and deliver a detailed roadmap for product evolution.

WHERE DO WE START

Where do we start, and where is it worth investing?

Before building, you need to know what you have: data, systems, access and constraints. Five steps, each with a written output you keep whether or not the next one happens.

1

Discovery

Structured validation sessions where we define a clear, actionable roadmap with use case identification, deployment strategy and KPIs.

2

Data & AI Readiness

We assess your data infrastructure to ensure it is clean, accessible and governed. This establishes the foundation for effective training and optimal model performance.

3

Design

User experience is at the center of every decision. We create interfaces and interaction flows that are natural, enjoyable and maximize adoption.

4

Development

Transparent and collaborative development with security and compliance integrated from the start. Rigorous testing of consistency, stability and alignment with business value.

5

Deployment

Integration with minimal operational disruption. Continuous monitoring of model performance and drift detection to apply corrective measures when needed.

A team at a whiteboard working through a system diagram together

PRODUCTION, NOT A DEMO

Measurable results. Systems that are running.

Each case with the figures we are allowed to publish and the method in plain sight. The result goes in the title.

A glowing fingerprint on a dark scanner: digital identity in production
Digital identity · embedded squad

A €200,000 engagement renewed for €400,000 more. Zero bugs shipped.

Sovereign identity protocol. Three engineers and a delivery manager embedded since March 2026, from the protocol core to three verifier SDKs in TypeScript, PHP and Python.

  • Protocol core and verifier SDKs in production, every deliverable on time
  • Weekly checks, an autonomous team, architecture handed over sprint by sprint
  • Renewal signed at twice the original budget
Read the case study →
A person sealing a cardboard parcel on a table: e-commerce logistics
E-commerce circularity · product team

From idea to production in 90 days, with four engineers and a fractional CTO.

Ealyx, Barcelona: circularity software for e-commerce. Since May 2024 a Conectia team has carried the product from the idea to production, as one team with the founders.

  • Idea to production in 90 days
  • Four engineers plus a fractional CTO, one team
  • An ongoing relationship since May 2024
See all cases →

OUR AI EXPERTISE

What can you actually build for us?

One senior team, every capability, everything inside your perimeter. The code, the prompts, the evals and the pipelines stay in your repositories.

Machine Learning (ML)

Leverage ML capabilities like predictive analytics and anomaly detection to power your business functions, improve existing products, and develop new ones.

Natural Language Processing (NLP)

Leverage the versatility of NLP to improve efficiency and user experience, from sentiment analysis to multilingual content moderation and information retrieval.

Generative AI

Empower your business with the transformative capabilities of generative AI, making internal processes more efficient and accurate, reducing wait times and manual requirements.

Large Language Model (LLM)

Integrate custom or pre-trained LLMs for specific use cases that drive efficiency and data-driven decision-making, with secure and compliant models.

Model Context Protocol (MCP)

Connect multiple AI models to your internal infrastructure securely and efficiently, transforming your AI into enterprise-level integrated functions.

Data Management and Governance

Establish a solid foundation for AI adoption with secure and efficient data pipelines that mitigate bias and enable real-time AI capabilities.

Computer Vision

Digitize the analysis and documentation of visual data in real time with image inspection, object detection, and categorization.

Deep Learning

Identify patterns, gain insights, and improve decision-making with integrated deep learning capabilities that drive efficiency and scalability.

Data Science

Harness the full potential of your data to make faster and smarter decisions, anticipate challenges, predict trends, and identify opportunities.

AI FRAMEWORKS AND ECOSYSTEMS

Which patterns ship fastest?

Battle-tested frameworks that shorten time-to-market and accelerate return on investment.

Computer Vision

Advanced image processing to analyze and interpret visual data through neural networks, recognizing patterns and features to make decisions based on visual input.

Real-time insights engine

Real-time insights using Retrieval Augmented Generation (RAG), Large Language Models (LLMs) and advanced deep learning techniques to analyze massive datasets and generate accurate responses and recommendations.

Conversational virtual agents

Enhance user experience with real-time virtual assistants, equipped with multilingual support, sentiment analysis, natural interactions and 24/7 availability using NLP and RAG.

WHY CONECTIA

How do we know your team actually uses what it sells?

You can check, because we run on it first.

A screen full of source code: the tool we build with every day

Conect AI Dev is the tool our engineers work with every day.

AI-assisted engineering with the same guardrails, evals, access controls and audit trail we install at your side. Shorter cycles on our own projects before we promise them on yours. What we sell you is what we ship with, and it stays inside your perimeter.

How Conect AI Dev works →

Industry expertise

Our AI software development is fueled by deep knowledge of the regulations and specific needs of each industry.

Verifiable governance, no badge

Model registry, traceability of every action, no-training clauses, a DPA, access by role, and a register and exit plan in the DORA format, written into the delivery from the first commit. We name the controls. We do not sell a seal we have not earned.

Future-ready mindset

We are committed to staying at the forefront of emerging technologies to deliver innovative solutions.

Client-first approach

Transparent development with multiple levels of client participation, ensuring maximum business value delivery.

AI leadership

As an AI software development company, we know what it takes to achieve measurable and scalable results.

Global presence

Our global reach allows us to be flexible, comply with local regulations and offer support in the client's preferred timezone and engagement model.

INDUSTRIES

Which sectors have you done this in?

Sectors where the constraints are the product: identity, money, health, commerce, education, law and travel.

Digital identity

KYC-backed identity infrastructure, verifiable credentials and accountability layers for AI agents in production.

Fintech

Real-time fraud detection, credit scoring models, and regulatory compliance process automation.

HealthTech

AI-based diagnostic assistants, EHR system integration, and intelligent telemedicine platforms.

E-commerce

Advanced recommendation engines, demand-based dynamic pricing and AI-powered customer service chatbots.

EdTech

AI-powered personalized tutoring, adaptive assessment and educational content generation.

LegalTech

Contract automation, AI-powered document analysis, automated compliance and legal risk management.

Traveltech

Event-driven accommodation platforms: interactive hotel maps embedded in event pages, geo-search and booking flows built for demand peaks.

TALK TO A CTO

Tell a CTO what you need. You get a reply within 24 hours.

A CTO reads it and replies in English or Spanish with a first take on scope, timing and the team it needs.

A CTO replies with a team and a price within one business day.

Build AI solutions that generate real value

We can help you with maximum value alignment and an optimal AI adoption strategy.