OpenSky Enterprise AI Architecture

Fragmented Data

Enterprise data often exists across multiple systems without consistent governance or accessibility.

Limited Visibility of AI Systems

Organisations lack operational oversight of AI models, tools and agents once they are deployed.

Difficulty Scaling AI

AI initiatives frequently remain isolated pilots rather than delivering measurable operational outcomes.

Data Intelligence Foundation

Enterprise data is unified, secured and governed to support analytics and machine learning.

About the Data Intelligence Layer

Enterprise AI Control and Operations

AI systems, models and agents are monitored and governed through operational control frameworks.

About the Enterprise AI Control Layer

AI-Driven Enterprise Workflows

AI-enabled applications and intelligent automation deliver measurable operational improvements.

About the AI Enterprise Workflows Layer

How Organisations Begin Their Enterprise AI Journey

Organisations adopt the OpenSky Enterprise AI Architecture at different stages of their AI journey. Some begin by strengthening their data foundations, others introduce governance to bring control to existing AI initiatives, while some focus on deploying AI-driven automation to deliver operational improvements. OpenSky works with organisations to determine the most effective starting point based on their current capabilities, priorities and business objectives.

Most organisations begin in one of three ways...

Data-First Adoption

When organisations need to prepare their data for AI

Many organisations recognise the potential of AI but struggle with fragmented data environments that limit their ability to deploy analytics and machine learning effectively.

In these cases, OpenSky helps organisations modernise data platforms, implement governance frameworks and establish secure data environments that enable advanced analytics and AI.

Governance-First Adoption

When organisations already have AI but need control and oversight

Some organisations have already begun deploying AI models, tools or agents across their operations but lack the governance frameworks required to manage them safely and effectively.

In these situations, OpenSky introduces operational governance and control mechanisms that allow organisations to monitor AI systems, manage risk and ensure compliance with regulatory requirements.

AI-Driven Automation

When organisations are ready to deploy AI within operational processes

For organisations seeking to improve operational efficiency and decision-making, OpenSky designs and deploys AI-enabled workflows and intelligent automation within a governed AI environment.

These deployments may include AI-enabled enterprise applications, intelligent workflow automation and AI agents supporting operational processes.

Expert, People-Led Implementation

Successful enterprise AI adoption requires more than technology.

OpenSky combines expertise in data architecture, AI governance, enterprise systems and operational transformation to ensure organisations deploy AI solutions that deliver measurable outcomes.

Our multidisciplinary teams work alongside organisational leaders and technical teams to design, deploy and operate AI environments that are secure, compliant and effective in complex enterprise environments.

Governance-First AI Deployment

OpenSky helps organisations deploy AI systems safely through structured governance frameworks and operational control environments.

End-to-end Enterprise Architecture

From data foundations to AI governance and intelligent automation, OpenSky delivers the complete architecture required for enterprise AI operations.

Expertise in Regulated Environments

OpenSky works extensively with organisations in public sector, healthcare and life sciences where secure and responsible AI deployment is critical.

Expert, People-Led Implementation

Multidisciplinary teams combine expertise in data architecture, AI governance and enterprise systems to ensure AI delivers measurable operational outcomes.

Experience

Over 20 years delivering complex data transformation projects across healthcare, pharma, and public-sector systems — including long-term partnerships with MSD and other industry leaders.

Technology

Built on Microsoft Fabric and Azure AI, providing a scalable, secure, and compliant architecture for healthcare analytics and cross-functional collaboration.

Impact

Proven results from national-scale projects such as vaccination uptake analytics, public health data reporting, and AI-powered adoption intelligence, improving access, equity, and patient outcomes.

Insight

Expertise in transforming clinical, epidemiological, and behavioural data into actionable intelligence for Market Access, Medical, and Policy teams — supported by our in-house R&D department and collaborations with leading research and innovation centres including: CeADAR (Ireland’s National Centre for Applied AI), The Alan Turing Institute and the Global Health Connector Partnership.