Applied Artificial Intelligence (AI)

We are developers. We implement AI in the stack, not the other way around.

We integrate artificial intelligence into applications, forms and document workflows with hardening, security, cost control and sound judgment. Compared with improvised approaches and AI-first teams: technical judgment first.

Contact How we work

Our approach

Technical criteria first. AI integrated with control, not improvisation.

Some approaches replace technical knowledge with automatic code generation and solutions without architecture. The result is usually fragile: security vulnerabilities, poorly governed data and uncontrolled infrastructure or API costs. At Gestycontrol we start from a solid technical background and implement AI where it adds value. We do not use it to replace what has to be properly designed, secured and operated.

Hardening and security

The same standard as in the rest of our systems. Permissions, data minimisation, auditing and controls — also when a model is involved. This includes preventing company information from ending up in unauthorised AI tools.

Cost control

Suitable models, limits, caching and measurement. No surprise bills caused by a lack of infrastructure knowledge or uncontrolled API usage.

Technical criteria

The model does not decide architecture, secrets or access. The team does. Ownership of the code and of the risk.

Governance of AI tool usage

We avoid unrestricted and uncontrolled use of tools without a proper licence, free tools or tools without an adequate contract, especially those where company content is uploaded to an artificial intelligence service whose provider may use it to train the model. We define which tools are authorised, under which contractual conditions and which data may be processed. The goal is to protect confidential information, code and know-how: AI must operate within a framework of licence, privacy and accountability, not at the cost of making the organisation's material available to third parties.

The team

More than 15 years of craft. Continuous training.

We are a young team, with more than 15 years building production software and a culture of continuous training and adaptation to new technologies. That combination — energy to learn and experience not to improvise — is what has allowed us to adopt Artificial Intelligence (AI) with the same technical rigour with which we already built systems, not as an improvised shortcut.

Gestycontrol was already a fast and reliable development company. AI, applied with judgment and control, allows us to be even faster without giving up quality or security.

These capabilities are the result of continuing to evolve as technicians, programmers and analysts.

  • Continuous training: new technologies when they add value; never as a substitute for judgment.
  • More than 15 years of experience: clients, products and real systems since 2011.
  • Adaptation with craft: we implement AI in projects without giving up security or ownership.

All of that allows us to do what we do with AI.

Our AI capabilities

Applied capabilities for real software

Apps with embedded AI

Intelligent features inside your software: classification, prioritisation, recommendations, user interface assistants and semantic search, without changing how the user works.

Assisted forms

Autofill from documents, free text or audio. Semantic validation and user guidance, without skipping business rules or compliance.

Document analysis

Classification, field extraction, case completeness and comparison with forms or CRM. From a PDF store to operable data.

Multilingual translation

Content compatible across languages, with glossary, locale versioning, drift detection and human review before publishing.

Objects and semantic index

Business object analytics, technical descriptive summaries for vector stores and duplicate or inconsistency detection with evidence.

Integration into your stack

APIs, RAG, agents with limits and data governance. AI enters the architecture; it does not float as an isolated demo.

Forms

Multimodal autofill with human control

The user provides what they already have; the system proposes values; the back office confirms. Less typing, less back and forth, the same validations.

  • External documents: PDF, photo, scan, attachments.
  • Free text: email, note, message, pasted report.
  • Audio: voice note or recording → transcription → fields.
  • Existing context: CRM, case file or ongoing operation.
  • Traceability: which source each suggested field came from.
  • Conflict detection: or incomplete data before submission.

Documents and objects

Understand, index and compare with evidence

  • Classification and extraction of key fields in business documentation.
  • Case completeness and document vs. form / CRM comparison.
  • Technical descriptive summaries oriented to semantic indexing (vector store / RAG), versioned and governed — not a blind dump of the file.
  • Duplicate and near-duplicate detection, with score and evidence.
  • Inconsistencies across sources: actionable contradictions, not an opaque traffic light.
  • Configurable thresholds; uncertain cases go to human review.

Multilingual

Content translation with compatibility and versioning

This is not running text through a generic translator. It is business content translation integrated into the content lifecycle: the same structure across languages, brand and sector glossary, preservation of templates and variables, locale versioning and publication only after review.

How we work

The system first. Then the model.

  1. Diagnosis: process friction, attack surface and cost.
  2. Is AI needed?: sometimes the answer is rules, robotic process automation (RPA) or a better user experience. We say so.
  3. Architecture: where the model lives, what data it sees, limits and human supervision.
  4. Hardening: secrets, permissions, sanitisation, GDPR and control of which AI tools are authorised.
  5. Stack integration: in your application, portal or Gestycontrol product.
  6. Measurement: quality, latency, cost per operation, human intervention.
  7. Scale: only when the case is governed.

We also help establish internal criteria so that the team does not freely use unlicensed, uncontrolled or free tools that expose documentation, code or business data to AI services whose provider may train models with the submitted content.

Legacy and modernisation

Reverse engineering and migration of existing environments

In many projects the starting point is not a new system, but a legacy environment whose real behaviour must be understood before it can be modernised. We approach reverse engineering in a controlled way: analysis of the software, its dependencies and related integrations in order to reconstruct operational logic, extract and document business flows, implicit rules and friction points. On that knowledge we plan migration to current architectures, incorporating hardening, access control, attack-surface reduction and progressive validation. The aim is to preserve business continuity without uncritically carrying over technical debt or vulnerabilities from the source system. Where it adds value, Artificial Intelligence (AI) speeds up the analysis and documentation of those flows; architecture decisions, security and responsibility for the outcome remain technical and human.

Gestycontrol products

Enhance what you already have with an AI layer

Without giving up how we build software. The same security standard.

  • Docture: classification, extraction, case completeness and intelligent alerts.
  • Addtrac: template assistance, consistency and versioned translation.
  • PBCyFT / KYC: support for supervised document review.
  • Relaient / CRM: summaries, scoring and record quality.
  • Portals: upload validation and adaptive forms.
  • Custom projects: any of these capabilities in your stack.

Frequently asked questions

What we are usually asked

Are you an AI company?

No. We are a software development company. We implement AI in projects from a technical stack, with security and control. AI does not define who we are; it defines one more capability.

How do you differ from improvised or AI-first approaches?

We start from technical criteria: architecture, hardening and ownership. AI accelerates or automates; it does not replace the team's knowledge or cover gaps.

Doesn't AI drive costs up?

Without design, yes. We size the model, caching, limits and monitoring so that the cost per operation is predictable. Lack of knowledge creates disproportionate bills, not AI itself.

Does my data go to a public model?

No. We do not send your company's content to free public models. We design the architecture according to your policy: enterprise APIs, private environments, on-premise installation, anonymisation and data minimisation.

What about free AI tools used by the team?

It is the same pattern we see with many online PDF or QR utilities: out of haste or lack of awareness, files and data are uploaded to third-party servers when that is not necessary. With AI the risk is greater, because that content may be exposed to the provider and, in many cases, used for model training. That is why we insist on authorised tools and on not processing company information outside a controlled environment — the same criterion behind our PDF utilities and QR generators, which run in the browser without sending your files off the device.

Is it 100% reliable?

In critical processes we combine automation with human validation and confidence thresholds. We do not sell blind faith in the model.

Why trust you with something so new?

We are a young team, with more than 15 years building software, in continuous training and adaptation. That track record lets us bring AI into day-to-day project work while keeping security, control and responsibility for what we deliver.

Contact

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If you prefer, call us: +34 910 884 356