From AI ambition to working systems.

Agila is an independent transformation practice helping organisations connect business needs, data, technology and operations so that AI and digital change can be implemented with control.

Agila principle

Architecture makes AI executable. AI expands what architecture can deliver.

01 / Perspective

AI value depends on the system around it.

Most organisations do not lack AI ideas. They lack the connected operating foundations needed to act on them. Agila brings business priorities, processes, data, systems, governance and specialist capacity together so leaders can choose the right use cases, make better decisions and move with control.

02 / Capabilities

Capabilities

01

Data, analytics and AI

Find where AI and analytics can improve real work, then put the right data, controls and operating foundations in place.

  • AI opportunity and readiness assessment
  • Data strategy, quality and governance
  • Analytics and decision support
  • Governed agentic workflows
02

Business and operating-model transformation

Connect strategy to processes, roles, investment choices and adoption so that change works beyond the technology layer.

  • Current-state assessment
  • Capability and process design
  • Business cases and roadmaps
  • Operating models and adoption
03

Enterprise, solution and integration architecture

Define coherent current and target states, make technology trade-offs clear and give implementation teams designs they can use.

  • Enterprise and solution design
  • Integration and interoperability
  • Platform and product assessment
  • Roadmaps and design assurance
04

Industrial operations, IT/OT and IIoT

Connect plant, edge, cloud and enterprise environments with attention to operational context, resilience and scale.

  • Digital manufacturing and MES
  • IT/OT boundaries and resilience
  • UNS, MQTT and industrial connectivity
  • Operational data and AI readiness
05

Digital products and operating systems

Design and build focused applications, dashboards, integrations and workflows that support a defined business need.

  • Product discovery and UX
  • Applications and dashboards
  • APIs, connectors and automation
  • Deployment and handover
06

Governance, delivery and adoption

Keep programmes, AI use and implementation work accountable through clear ownership, evidence, assurance and knowledge transfer.

  • Programme and project delivery
  • AI, data and privacy governance
  • Quality and implementation assurance
  • Training and knowledge transfer
03 / Approach

A practical path from assessment to implementation.

The emphasis and sequence adapt to the service and the maturity of each engagement.

  1. 01

    Assess the current situation

    Understand the problem, objectives, processes, data, systems, constraints and readiness.

  2. 02

    Design the target state

    Define the future capabilities, operating model, architecture and transition options.

  3. 03

    Select and plan

    Evaluate technology choices and trade-offs, then set priorities and an implementation roadmap.

  4. 04

    Implement and govern

    Build, integrate or guide delivery with clear decisions, controls and quality assurance.

  5. 05

    Support and improve

    Help with handover, adoption, operational support and the next cycle of improvement.

04 / Experience

Selected experience

01Global manufacturing

Industrial data architecture from assessment to proof of concept

Defined MQTT and Unified Namespace patterns, edge-to-cloud boundaries, governance and a phased rollout path for a complex multi-site environment.

02European aviation

Cross-system solution and integration architecture

Authored and governed designs spanning event flows, data contracts, resilience, operational ownership and GDPR separation for an airline transformation.

03Industrial platforms

Technical and commercial-readiness assessment

Assessed an industrial analytics platform across architecture, product operations, user value, support, pricing logic and roadmap priorities.

04Specialist healthcare SME

A management system built around better decisions

Turned fragmented operating, financial and CRM data into a privacy-aware management cockpit and an executable operating roadmap.

05Critical infrastructure

Secure industrial connectivity and rollout support

Contributed requirements, security and rollout design for a monitored MQTT and Unified Namespace platform in a critical operating environment.

06AI operating systems

Governed multi-agent architecture for real work

Designed and operated a private environment connecting persistent knowledge, tools, tests, approval gates, observability and recovery loops.

Client identities and confidential details are not published.

05 / Fit 4 AI

Fit 4 AI

Agila is pre-accredited by Luxinnovation for the Fit 4 AI programme, which helps eligible organisations assess AI opportunities and define an implementation roadmap.

View the official Fit 4 AI programme
06 / About Agila

About Agila

Founder & Principal Architect

Alejandro Simó

Alejandro is a solution and enterprise architect with experience across manufacturing, industrial IT/OT, digital manufacturing, aviation, utilities, applied research, data and governed AI systems. He works with specialised businesses, SMEs and large organisations from Luxembourg.

View Alejandro's LinkedIn profile

Bring the challenge into focus.

If AI ambitions, fragmented data or complex systems are slowing a transformation, Agila can help assess the current situation, design the target state, choose a practical path and support implementation.