Apps AI – GooApps®

Enterprise AI to move from pilot to real impact

We help large organisations adopt artificial intelligence in a secure, progressive and
measurable way. We design pilots, AI agents, automations and generative AI solutions
integrated with existing systems, data and processes, incorporating security, governance,
privacy, traceability and scalability criteria from the outset.

Enterprise AI Strategy.
AI Readiness Assessment.
AI Governance & Risk Framework.
Agentic AI Pilots.
Enterprise AI Automation.
GenAI Assistants for Internal Teams.
AI Integration with Existing Systems.
Data Analytics & Predictive Models.
Secure AI Deployment.
AI Adoption Roadmap.

What can I do with Artificial Intelligence?

AI agents for companies

We develop AI agents capable of performing tasks, retrieving information, interacting with systems and automating internal processes.

Agents for customer service.
Agents for employee support.
Agents for document management.
Agents for sales support.
Agents for internal reporting.
Agents for operations.
Agents for data analysis.
Agents for classifying and prioritising requests.

Generative AI applied to business

We implement solutions based on generative models to create, analyse, summarise, classify and process information.

Content generation.
Document summarisation.
Internal assistants.
Conversation analysis.
Form processing.
Key information extraction.
Report generation.
Intelligent search across corporate documentation.

Chatbots and intelligent assistants

We create customised chatbots and conversational assistants, connected to each company’s systems and processes.

Customer service.
Employee support.
Sales assistants.
Medical or wellbeing assistants.
Assistants for apps and digital platforms.
Internal assistants for consulting policies, procedures or documentation.

Process automation with AI

We automate repetitive tasks, document analysis, administrative workflows and operational processes.

Document classification.
Email processing.
Request management.
Unstructured data analysis.
Response automation.
Internal approval workflows.
Automated reporting.
Prioritisation of incidents or tickets.

Strategic AI consulting

We help companies define how to apply AI meaningfully, avoiding projects without impact.

AI maturity assessment.
Opportunity identification.
Use case prioritisation.
Implementation roadmap.
Technical feasibility analysis.
MVP or pilot definition.
Risk assessment.
KPI design.
Governance and scalability recommendations.

Custom AI solution development

We design and develop customised solutions, integrated with existing software, data and systems.

AI applications.

Intelligent dashboards.

API integrations.

Predictive models.

Digital platforms.

SaaS solutions with AI.

Connectors to corporate systems.

Architectures built to scale.

What are AI agents?

An AI agent is an intelligent system capable of understanding an instruction, making decisions within a defined context and carrying out actions by connecting to the company’s tools, data or systems.

Unlike a traditional chatbot, an agent does not only answer questions: it can help automate processes, analyse information, generate documents, prepare reports, activate workflows, interact with internal applications and assist operations, sales, support, administration or management teams.

Traditional chatbot	AI agent
Answers questions	Performs tasks
Works with closed flows	Can work with context
Has less capacity for action	Can connect to systems
Usually focused on support	Can be applied to operations, sales, data, support or administration
Handles simple interactions	Can participate in complete processes
Limited to conversation	Can trigger actions, generate reports or consult internal sources

Secure, governed AI built to scale

In enterprise projects, AI cannot be implemented without control. We design solutions that consider security, privacy, access management, traceability, human oversight, data control, risk assessment and regulatory compliance from the outset.

The goal is for each solution to be able to start as a pilot, while being built from the outset to evolve into a production, integrated and measurable environment.

AI governance.
Privacy and data protection.
Security by design.
Access and permission control.
Decision traceability.
Human-in-the-loop.
Risk assessment.
Continuous monitoring and improvement.
Integration with internal policies.
Cloud scalability.
Technical and functional documentation.
Monitoring and improvement of the model or system.

Generic AI vs custom AI: the difference lies in integration

Generic AI tools can help with specific tasks, but the real value emerges when artificial intelligence is integrated with a company’s actual processes, data and systems.
At GooApps®, we design custom solutions that adapt to your objectives, users, workflows and business needs, with scalability, security and adoption in mind from the outset.

Generic AI	Custom AI GooApps®
Isolated use	Integration with real processes
Generic responses	Business-specific context
Low traceability	Controlled and measurable design
Difficult to scale	Architecture built to grow
Little differentiation	Proprietary and customised solution
No connection to internal systems	Integration with APIs, data and corporate tools
Difficult governance	Security, privacy and control criteria by design