AI first. Google focused. Future ready.
We help businesses unlock intelligent growth through Google Cloud and AI innovation
PacifiQ17 is a Google-native technology services company that exists to help organisations transform faster and smarter using the unparalleled power of artificial intelligence, intelligent data, and modern cloud operations. From strategic advisory to full-stack engineering, we bring precision, speed, and innovation to every project, ensuring you’re not just adopting technology, but truly transforming your business.
About Us
Born in the Cloud. Driven by Purpose.
PacifiQ17 was founded by seven visionary technologists and thought leaders who identified a critical gap in the market: a growing need for specialist partners focused on real, tangible AI adoption—beyond the hype. Our deep heritage in enterprise technology, combined with our unwavering commitment to the Google ecosystem, uniquely positions us to deliver outcomes others can’t. We believe in building long-term partnerships, guiding our clients through the complexities of digital transformation with clarity and expertise.
Why We Are Different
Exclusive Focus on Google Cloud and AI
An Elite Founding Team with Proven Track Records
A Cost-Effective, High-Impact Delivery Model
Agile Pods, MVP Acceleration, and Long-Term Transformation Support
Commitment to Responsible AI
Our Services
Architecting Your Intelligent Future
At PacifiQ17, we offer a comprehensive suite of services designed to help our clients build competitive advantage through AI-driven, cloud-native, and secure digital platforms. These services form a holistic value chain that spans from strategic visioning to flawless execution.
Why it matters: Artificial intelligence is no longer a luxury; it’s foundational to competitiveness. Organisations that strategically embed AI into their products and services gain a powerful edge in customer experience, operational automation, and data-driven decision-making. Developing AI-first solutions enables personalisation at scale, predictive capabilities, and intelligent automation that can redefine your industry.
How we deliver: We leverage the full spectrum of Google’s Vertex AI and generative AI capabilities, along with other leading AI frameworks, to bring your intelligent products to life:
- Co-design Use Cases with Stakeholders: We facilitate intensive workshops to identify high-impact AI use cases aligned with your business objectives, ensuring a clear path to ROI.
- Prototype and Integrate Models: Our data scientists and engineers rapidly prototype AI models, integrating them seamlessly into your existing systems and workflows.
- Leverage Vertex AI for Production-Grade Deployment: We utilise Vertex AI for robust, scalable, and secure deployment of machine learning models, managing the entire MLOps lifecycle from training to monitoring.
- Follow Ethical AI Practices: We implement responsible AI guidelines throughout the development process, focusing on data privacy, bias detection, and explainability.
Why it matters: Google Cloud Platform (GCP) offers unparalleled capabilities for scalability, innovation, and global reach. However, many organisations struggle to maximise its value due to suboptimal architecture, legacy constraints, or a lack of cloud-native expertise. A well-designed GCP architecture is the bedrock for all your cloud and AI ambitions, ensuring performance, security, and cost-efficiency.
How we deliver: Our certified Google Cloud architects and engineers provide end-to-end consulting and implementation:
- Conduct Cloud Readiness Assessments: We evaluate your current IT landscape, identifying opportunities and challenges for cloud migration and modernisation.
- Design Secure, Scalable Architectures: We architect resilient, high-performance, and secure GCP environments tailored to your specific business needs, adhering to best practices and compliance standards.
- Migrate and Modernise with Serverless and Containers: We specialise in seamless migration of applications and data to GCP, leveraging modern serverless computing (Cloud Functions, Cloud Run) and containerisation (GKE) for agility and efficiency.
- Optimise Cloud Economics Using Google-Native Tools: We help you gain control over your cloud spending, implementing FinOps practices and leveraging Google’s native cost management tools to maximise ROI.
Why it matters: In today’s data-driven world, data is only valuable if it’s accessible, reliable, and actionable. Many organisations are drowning in data but starving for insights. Robust data engineering is the foundation for any AI initiative, ensuring clean, consistent, and readily available data for analytics and machine learning.
How we deliver: We build robust and scalable data platforms on Google Cloud, transforming raw data into strategic assets:
- Build High-Performance Data Pipelines: We design and implement efficient data ingestion and transformation pipelines using services like Cloud Dataflow, Pub/Sub, and Dataproc.
- Optimise Data in BigQuery: We leverage the power of BigQuery for petabyte-scale data warehousing and analytics, optimising queries and schema for blazing-fast performance.
- Deliver Actionable Dashboards with Looker Studio & Looker: We create intuitive and insightful dashboards using Looker Studio (formerly Data Studio) and Looker, empowering your business users with self-service analytics.
- Apply Governance and Lineage for Compliance: We implement comprehensive data governance frameworks, including data lineage tracking, quality checks, and access controls, to ensure compliance and data integrity.
Why it matters: Modern users demand seamless, intuitive, and highly responsive digital experiences that legacy applications simply cannot deliver. Cloud-native application development enables rapid iteration, unparalleled scalability, and resilience, allowing your business to adapt quickly to market changes and user expectations.
How we deliver: We build cutting-edge cloud-native applications designed for performance, scalability, and agility:
- Leverage Firebase, Flutter, and Cloud Functions: We utilise Google’s powerful developer tools like Firebase for backend services, Flutter for cross-platform mobile apps, and Cloud Functions for event-driven serverless logic.
- Build Scalable SaaS Solutions: We design and develop multi-tenant Software-as-a-Service (SaaS) platforms, leveraging GCP’s robust infrastructure to ensure high availability and scalability for your growing user base.
Integrate with Google Workspace and APIs: We seamlessly integrate your applications with Google Workspace and other Google APIs, enhancing collaboration and extending functionality.
How We Deliver: We leverage the full spectrum of Google’s Vertex AI and generative AI capabilities, along with other leading AI frameworks, to bring your intelligent products to life:
- Co-design Use Cases with Stakeholders: We facilitate intensive workshops to identify high-impact AI use cases aligned with your business objectives, ensuring a clear path to ROI.
- Prototype and Integrate Models: Our data scientists and engineers rapidly prototype AI models, integrating them seamlessly into your existing systems and workflows.
- Leverage Vertex AI for Production-Grade Deployment: We utilise Vertex AI for robust, scalable, and secure deployment of machine learning models, managing the entire MLOps lifecycle from training to monitoring.
- Follow Ethical AI Practices: We implement responsible AI guidelines throughout the development process, focusing on data privacy, bias detection, and explainability.
Why it matters: Security is no longer an IT concern; it’s a board-level imperative. The escalating threat landscape demands a proactive and comprehensive security posture. Zero Trust is essential in today’s environment, assuming no implicit trust and verifying every request, protecting your critical assets from advanced persistent threats.
How we deliver: We implement robust security frameworks and practices to safeguard your Google Cloud environment:
- Implement BeyondCorp Zero Trust Architecture: We deploy Google’s pioneering BeyondCorp security model, ensuring secure access to applications and data from any device, anywhere.
- Harden IAM and Access Management: We design and implement granular Identity and Access Management (IAM) policies, enforcing the principle of least privilege and multi-factor authentication.
- Monitor Security Posture and Compliance: We establish continuous security monitoring using Google Cloud Security Command Center and other tools, ensuring proactive threat detection and compliance with industry regulations.
- Automate Incident Response: We design and implement automated security incident response playbooks to minimise the impact of breaches and accelerate recovery.
Why it matters: Legacy operational models cannot support the dynamic demands of modern businesses running on cloud and AI. Operations must evolve to become automated, insight-driven, and proactive, enabling continuous delivery and optimal performance. DevOps and Site Reliability Engineering (SRE) are critical for achieving this agility and resilience.
How we deliver: We transform your operational practices, empowering your teams to deliver faster and more reliably:
- Enable SRE Practices with Runbooks and SLOs: We help you adopt Site Reliability Engineering (SRE) principles, defining Service Level Objectives (SLOs) and creating automated runbooks for efficient incident management.
- Deploy Robust CI/CD Pipelines: We design and implement automated Continuous Integration/Continuous Delivery (CI/CD) pipelines, enabling rapid and reliable software releases.
- Leverage Google Cloud Operations Suite: We implement and optimise Google Cloud’s comprehensive operations suite (formerly Stackdriver) for logging, monitoring, tracing, and error reporting.
- Set Up Automated Remediation: We develop and deploy automated remediation scripts and workflows to proactively address operational issues, reducing manual intervention and downtime.
Why it matters: The convergence of Information Technology (IT) and Operational Technology (OT) presents unprecedented opportunities for efficiency, safety, and predictive maintenance in industrial environments. AI in OT transforms raw sensor data from factories, energy grids, and infrastructure into actionable insights, enabling proactive decision-making, optimising asset performance, and enhancing worker safety. Ignoring this convergence means missing out on significant competitive advantages and operational improvements.
How we deliver: We bridge the gap between IT and OT, leveraging Google Cloud and AI to unlock new levels of operational intelligence:
- Integrate OT Data with Google Cloud: We establish secure and scalable data pipelines to ingest data from industrial control systems (ICS), SCADA, PLCs, and IoT devices into Google Cloud, leveraging services like Google Cloud IoT Core (or equivalent successor services/patterns), Pub/Sub, and Dataflow.
- Develop Predictive Maintenance Solutions: We build AI models to predict equipment failures, optimising maintenance schedules and minimising costly downtime. This includes leveraging historical data and real-time sensor feeds for anomaly detection and prognostics.
- Optimise Industrial Processes with AI: We apply machine learning to optimise production processes, reduce energy consumption, improve yield, and enhance quality control in manufacturing and other industrial settings.
- Enhance Operational Safety and Security: We develop AI-powered solutions for real-time risk assessment, anomaly detection in operational behaviour, and proactive threat identification within OT networks, improving overall safety and cybersecurity posture.
- Create Digital Twins for Simulation and Optimisation: We develop digital twins of physical assets and processes, enabling real-time monitoring, simulation of scenarios, and optimisation through AI-driven insights without impacting live operations.
Why it matters: Technology investments must demonstrably align with strategic business value. Without a clear strategy, even the most advanced technologies can fail to deliver meaningful ROI. Our advisory services ensure your technology roadmap is tightly integrated with your business objectives, driving sustainable growth and competitive advantage.
How we deliver: Our experienced consultants provide strategic guidance at every stage of your transformation journey:
- Develop AI, Data, and Cloud Strategy: We partner with your leadership to define a comprehensive strategy for AI adoption, data monetisation, and cloud migration, aligning technology initiatives with your broader business goals.
- Run Innovation Workshops: We facilitate interactive workshops to identify new opportunities, foster cross-functional collaboration, and ideate innovative solutions leveraging Google Cloud and AI.
- Design Operating Models and Governance: We help you design agile operating models and robust governance frameworks that support your cloud and AI initiatives, ensuring effective adoption and risk management.
- Define Transformation Roadmaps: We create clear, actionable transformation roadmaps with defined milestones, KPIs, and resource plans, guiding you from vision to execution.
Why it matters: In today’s complex enterprise landscape, it’s increasingly common for organisations to leverage best-of-breed services from multiple cloud providers. While PacifiQ17 is Google-native, we understand that many businesses operate in hybrid or multi-cloud environments, often with significant investments in Microsoft technologies. Our Microsoft-Google Integration Services are designed to break down silos, enhance interoperability, and unlock the full potential of your existing IT infrastructure by seamlessly connecting your Microsoft workloads with the power and innovation of Google Cloud and AI. This ensures a unified operational view, maximises data utility, and extends your capabilities without requiring a complete platform overhaul.
How we deliver: We provide strategic consulting and full-stack engineering to create robust, secure, and performant integrations between your Microsoft ecosystems and Google Cloud. Our approach focuses on data flow, identity management, application interoperability, and unified analytics.
Examples of Integration Use Cases:
- Hybrid Identity and Access Management:
- Use Case: Many enterprises rely on Microsoft Active Directory (AD) or Azure Active Directory (Entra ID) for user authentication and authorisation. You need to ensure seamless access to Google Cloud resources for users managed within your Microsoft identity system.
- How We Integrate: We implement solutions for federated identity, allowing users to authenticate to Google Cloud services (including Google Workspace) using their existing Microsoft credentials. This often involves setting up SAML 2.0 or OIDC integration with Google Cloud Identity, synchronising user directories, and ensuring consistent security policies across both environments. This reduces administrative overhead and improves user experience.
- Data Integration and Advanced Analytics:
- Use Case: You have critical business data residing in Microsoft SQL Server databases (on-premises or Azure SQL Database) or Microsoft Excel 365, and you want to leverage Google Cloud’s powerful data warehousing (BigQuery) and AI/ML capabilities for advanced analytics, machine learning, and business intelligence.
- How We Integrate: We build secure and efficient data pipelines using Google Cloud Dataflow, Datastream, or third-party ETL/ELT tools to ingest data from SQL Server into BigQuery. For Excel data, we can automate exports to Google Cloud Storage and subsequent loading into BigQuery. This allows you to combine your Microsoft data with other data sources on Google Cloud for comprehensive insights, predictive modelling, and Looker Studio dashboards.
- Application Interoperability and Modernisation:
- Use Case: You have legacy .NET applications, IIS web servers, or SharePoint deployments on-premises or on Azure VMs that you want to modernise or integrate with Google Cloud services like Google Kubernetes Engine (GKE) for containerisation, Cloud Functions for serverless logic, or Google Workspace APIs for enhanced collaboration.
- How We Integrate: We facilitate lift-and-shift migrations of Windows Server and SQL Server workloads to Compute Engine, optimising licensing and performance. We help containerise .NET applications to run on GKE, allowing for hybrid deployments. We also build custom APIs and integration layers to connect Microsoft applications with Google Cloud AI services (e.g., using Google’s Vision AI for image processing within a SharePoint workflow) or to leverage Google Workspace APIs for enhanced productivity and collaboration features.
- Multi-Cloud Security and Monitoring:
- Use Case: You operate a multi-cloud environment with workloads on both Google Cloud and Microsoft Azure, and you need a unified security posture, threat detection, and compliance monitoring across both platforms.
- How We Integrate: We integrate security tools like Microsoft Defender for Cloud with Google Cloud Security Command Center to provide a consolidated view of security findings and vulnerabilities. We implement cross-cloud logging and monitoring solutions, enabling a holistic approach to incident response and compliance auditing across your diverse cloud footprint.
- Productivity Suite Coexistence and Collaboration:
- Use Case: Your organisation uses both Microsoft 365 (e.g., Outlook, Teams, Word, Excel) and Google Workspace (e.g., Gmail, Google Meet, Docs, Sheets) for different teams or functions, and you need to ensure seamless communication, file sharing, and calendaring between users on both platforms.
- How We Integrate: We configure directory synchronisation for calendar and contact sharing, enable federation between Microsoft Teams and Google Chat/Meet where feasible, and implement secure file transfer and collaboration mechanisms between OneDrive/SharePoint and Google Drive. This reduces friction and enhances collaboration regardless of the primary productivity suite.
- By leveraging our expertise in both Google Cloud and key Microsoft technologies, PacifiQ17 ensures that your multi-vendor environment operates as a cohesive, powerful whole, driving efficiency and innovation across your entire organisation.
AI First Product & Solution Development
Why it matters: Artificial intelligence is no longer a luxury; it’s foundational to competitiveness. Organisations that strategically embed AI into their products and services gain a powerful edge in customer experience, operational automation, and data-driven decision-making. Developing AI-first solutions enables personalisation at scale, predictive capabilities, and intelligent automation that can redefine your industry.
How we deliver: We leverage the full spectrum of Google’s Vertex AI and generative AI capabilities, along with other leading AI frameworks, to bring your intelligent products to life:
- Co-design Use Cases with Stakeholders: We facilitate intensive workshops to identify high-impact AI use cases aligned with your business objectives, ensuring a clear path to ROI.
- Prototype and Integrate Models: Our data scientists and engineers rapidly prototype AI models, integrating them seamlessly into your existing systems and workflows.
- Leverage Vertex AI for Production-Grade Deployment: We utilise Vertex AI for robust, scalable, and secure deployment of machine learning models, managing the entire MLOps lifecycle from training to monitoring.
- Follow Ethical AI Practices: We implement responsible AI guidelines throughout the development process, focusing on data privacy, bias detection, and explainability.
Google Cloud Consulting & Architecture
Why it matters: Google Cloud Platform (GCP) offers unparalleled capabilities for scalability, innovation, and global reach. However, many organisations struggle to maximise its value due to suboptimal architecture, legacy constraints, or a lack of cloud-native expertise. A well-designed GCP architecture is the bedrock for all your cloud and AI ambitions, ensuring performance, security, and cost-efficiency.
How we deliver: Our certified Google Cloud architects and engineers provide end-to-end consulting and implementation:
- Conduct Cloud Readiness Assessments: We evaluate your current IT landscape, identifying opportunities and challenges for cloud migration and modernisation.
- Design Secure, Scalable Architectures: We architect resilient, high-performance, and secure GCP environments tailored to your specific business needs, adhering to best practices and compliance standards.
- Migrate and Modernise with Serverless and Containers: We specialise in seamless migration of applications and data to GCP, leveraging modern serverless computing (Cloud Functions, Cloud Run) and containerisation (GKE) for agility and efficiency.
- Optimise Cloud Economics Using Google-Native Tools: We help you gain control over your cloud spending, implementing FinOps practices and leveraging Google’s native cost management tools to maximise ROI.
Data Engineering & Advanced Analytics
Why it matters: In today’s data-driven world, data is only valuable if it’s accessible, reliable, and actionable. Many organisations are drowning in data but starving for insights. Robust data engineering is the foundation for any AI initiative, ensuring clean, consistent, and readily available data for analytics and machine learning.
How we deliver: We build robust and scalable data platforms on Google Cloud, transforming raw data into strategic assets:
- Build High-Performance Data Pipelines: We design and implement efficient data ingestion and transformation pipelines using services like Cloud Dataflow, Pub/Sub, and Dataproc.
- Optimise Data in BigQuery: We leverage the power of BigQuery for petabyte-scale data warehousing and analytics, optimising queries and schema for blazing-fast performance.
- Deliver Actionable Dashboards with Looker Studio & Looker: We create intuitive and insightful dashboards using Looker Studio (formerly Data Studio) and Looker, empowering your business users with self-service analytics.
- Apply Governance and Lineage for Compliance: We implement comprehensive data governance frameworks, including data lineage tracking, quality checks, and access controls, to ensure compliance and data integrity.
Cloud Native App Development
Why it matters: Modern users demand seamless, intuitive, and highly responsive digital experiences that legacy applications simply cannot deliver. Cloud-native application development enables rapid iteration, unparalleled scalability, and resilience, allowing your business to adapt quickly to market changes and user expectations.
How we deliver: We build cutting-edge cloud-native applications designed for performance, scalability, and agility:
- Leverage Firebase, Flutter, and Cloud Functions: We utilise Google’s powerful developer tools like Firebase for backend services, Flutter for cross-platform mobile apps, and Cloud Functions for event-driven serverless logic.
- Build Scalable SaaS Solutions: We design and develop multi-tenant Software-as-a-Service (SaaS) platforms, leveraging GCP’s robust infrastructure to ensure high availability and scalability for your growing user base.
Integrate with Google Workspace and APIs: We seamlessly integrate your applications with Google Workspace and other Google APIs, enhancing collaboration and extending functionality.
How We Deliver: We leverage the full spectrum of Google’s Vertex AI and generative AI capabilities, along with other leading AI frameworks, to bring your intelligent products to life:
- Co-design Use Cases with Stakeholders: We facilitate intensive workshops to identify high-impact AI use cases aligned with your business objectives, ensuring a clear path to ROI.
- Prototype and Integrate Models: Our data scientists and engineers rapidly prototype AI models, integrating them seamlessly into your existing systems and workflows.
- Leverage Vertex AI for Production-Grade Deployment: We utilise Vertex AI for robust, scalable, and secure deployment of machine learning models, managing the entire MLOps lifecycle from training to monitoring.
- Follow Ethical AI Practices: We implement responsible AI guidelines throughout the development process, focusing on data privacy, bias detection, and explainability.
Security, Compliance & Zero Trust
Why it matters: Security is no longer an IT concern; it’s a board-level imperative. The escalating threat landscape demands a proactive and comprehensive security posture. Zero Trust is essential in today’s environment, assuming no implicit trust and verifying every request, protecting your critical assets from advanced persistent threats.
How we deliver: We implement robust security frameworks and practices to safeguard your Google Cloud environment:
- Implement BeyondCorp Zero Trust Architecture: We deploy Google’s pioneering BeyondCorp security model, ensuring secure access to applications and data from any device, anywhere.
- Harden IAM and Access Management: We design and implement granular Identity and Access Management (IAM) policies, enforcing the principle of least privilege and multi-factor authentication.
- Monitor Security Posture and Compliance: We establish continuous security monitoring using Google Cloud Security Command Center and other tools, ensuring proactive threat detection and compliance with industry regulations.
- Automate Incident Response: We design and implement automated security incident response playbooks to minimise the impact of breaches and accelerate recovery.
Ops Modernisation
Why it matters: Legacy operational models cannot support the dynamic demands of modern businesses running on cloud and AI. Operations must evolve to become automated, insight-driven, and proactive, enabling continuous delivery and optimal performance. DevOps and Site Reliability Engineering (SRE) are critical for achieving this agility and resilience.
How we deliver: We transform your operational practices, empowering your teams to deliver faster and more reliably:
- Enable SRE Practices with Runbooks and SLOs: We help you adopt Site Reliability Engineering (SRE) principles, defining Service Level Objectives (SLOs) and creating automated runbooks for efficient incident management.
- Deploy Robust CI/CD Pipelines: We design and implement automated Continuous Integration/Continuous Delivery (CI/CD) pipelines, enabling rapid and reliable software releases.
- Leverage Google Cloud Operations Suite: We implement and optimise Google Cloud’s comprehensive operations suite (formerly Stackdriver) for logging, monitoring, tracing, and error reporting.
- Set Up Automated Remediation: We develop and deploy automated remediation scripts and workflows to proactively address operational issues, reducing manual intervention and downtime.
AI for Operational Technology (OT)
Why it matters: The convergence of Information Technology (IT) and Operational Technology (OT) presents unprecedented opportunities for efficiency, safety, and predictive maintenance in industrial environments. AI in OT transforms raw sensor data from factories, energy grids, and infrastructure into actionable insights, enabling proactive decision-making, optimising asset performance, and enhancing worker safety. Ignoring this convergence means missing out on significant competitive advantages and operational improvements.
How we deliver: We bridge the gap between IT and OT, leveraging Google Cloud and AI to unlock new levels of operational intelligence:
- Integrate OT Data with Google Cloud: We establish secure and scalable data pipelines to ingest data from industrial control systems (ICS), SCADA, PLCs, and IoT devices into Google Cloud, leveraging services like Google Cloud IoT Core (or equivalent successor services/patterns), Pub/Sub, and Dataflow.
- Develop Predictive Maintenance Solutions: We build AI models to predict equipment failures, optimising maintenance schedules and minimising costly downtime. This includes leveraging historical data and real-time sensor feeds for anomaly detection and prognostics.
- Optimise Industrial Processes with AI: We apply machine learning to optimise production processes, reduce energy consumption, improve yield, and enhance quality control in manufacturing and other industrial settings.
- Enhance Operational Safety and Security: We develop AI-powered solutions for real-time risk assessment, anomaly detection in operational behaviour, and proactive threat identification within OT networks, improving overall safety and cybersecurity posture.
- Create Digital Twins for Simulation and Optimisation: We develop digital twins of physical assets and processes, enabling real-time monitoring, simulation of scenarios, and optimisation through AI-driven insights without impacting live operations.
Advisory & Consulting
Why it matters: Technology investments must demonstrably align with strategic business value. Without a clear strategy, even the most advanced technologies can fail to deliver meaningful ROI. Our advisory services ensure your technology roadmap is tightly integrated with your business objectives, driving sustainable growth and competitive advantage.
How we deliver: Our experienced consultants provide strategic guidance at every stage of your transformation journey:
- Develop AI, Data, and Cloud Strategy: We partner with your leadership to define a comprehensive strategy for AI adoption, data monetisation, and cloud migration, aligning technology initiatives with your broader business goals.
- Run Innovation Workshops: We facilitate interactive workshops to identify new opportunities, foster cross-functional collaboration, and ideate innovative solutions leveraging Google Cloud and AI.
- Design Operating Models and Governance: We help you design agile operating models and robust governance frameworks that support your cloud and AI initiatives, ensuring effective adoption and risk management.
- Define Transformation Roadmaps: We create clear, actionable transformation roadmaps with defined milestones, KPIs, and resource plans, guiding you from vision to execution.
Microsoft-Google Integration Services: Bridging Ecosystems for Unified Operations
Why it matters: In today’s complex enterprise landscape, it’s increasingly common for organisations to leverage best-of-breed services from multiple cloud providers. While PacifiQ17 is Google-native, we understand that many businesses operate in hybrid or multi-cloud environments, often with significant investments in Microsoft technologies. Our Microsoft-Google Integration Services are designed to break down silos, enhance interoperability, and unlock the full potential of your existing IT infrastructure by seamlessly connecting your Microsoft workloads with the power and innovation of Google Cloud and AI. This ensures a unified operational view, maximises data utility, and extends your capabilities without requiring a complete platform overhaul.
How we deliver: We provide strategic consulting and full-stack engineering to create robust, secure, and performant integrations between your Microsoft ecosystems and Google Cloud. Our approach focuses on data flow, identity management, application interoperability, and unified analytics.
Examples of Integration Use Cases:
- Hybrid Identity and Access Management:
- Use Case: Many enterprises rely on Microsoft Active Directory (AD) or Azure Active Directory (Entra ID) for user authentication and authorisation. You need to ensure seamless access to Google Cloud resources for users managed within your Microsoft identity system.
- How We Integrate: We implement solutions for federated identity, allowing users to authenticate to Google Cloud services (including Google Workspace) using their existing Microsoft credentials. This often involves setting up SAML 2.0 or OIDC integration with Google Cloud Identity, synchronising user directories, and ensuring consistent security policies across both environments. This reduces administrative overhead and improves user experience.
- Data Integration and Advanced Analytics:
- Use Case: You have critical business data residing in Microsoft SQL Server databases (on-premises or Azure SQL Database) or Microsoft Excel 365, and you want to leverage Google Cloud’s powerful data warehousing (BigQuery) and AI/ML capabilities for advanced analytics, machine learning, and business intelligence.
- How We Integrate: We build secure and efficient data pipelines using Google Cloud Dataflow, Datastream, or third-party ETL/ELT tools to ingest data from SQL Server into BigQuery. For Excel data, we can automate exports to Google Cloud Storage and subsequent loading into BigQuery. This allows you to combine your Microsoft data with other data sources on Google Cloud for comprehensive insights, predictive modelling, and Looker Studio dashboards.
- Application Interoperability and Modernisation:
- Use Case: You have legacy .NET applications, IIS web servers, or SharePoint deployments on-premises or on Azure VMs that you want to modernise or integrate with Google Cloud services like Google Kubernetes Engine (GKE) for containerisation, Cloud Functions for serverless logic, or Google Workspace APIs for enhanced collaboration.
- How We Integrate: We facilitate lift-and-shift migrations of Windows Server and SQL Server workloads to Compute Engine, optimising licensing and performance. We help containerise .NET applications to run on GKE, allowing for hybrid deployments. We also build custom APIs and integration layers to connect Microsoft applications with Google Cloud AI services (e.g., using Google’s Vision AI for image processing within a SharePoint workflow) or to leverage Google Workspace APIs for enhanced productivity and collaboration features.
- Multi-Cloud Security and Monitoring:
- Use Case: You operate a multi-cloud environment with workloads on both Google Cloud and Microsoft Azure, and you need a unified security posture, threat detection, and compliance monitoring across both platforms.
- How We Integrate: We integrate security tools like Microsoft Defender for Cloud with Google Cloud Security Command Center to provide a consolidated view of security findings and vulnerabilities. We implement cross-cloud logging and monitoring solutions, enabling a holistic approach to incident response and compliance auditing across your diverse cloud footprint.
- Productivity Suite Coexistence and Collaboration:
- Use Case: Your organisation uses both Microsoft 365 (e.g., Outlook, Teams, Word, Excel) and Google Workspace (e.g., Gmail, Google Meet, Docs, Sheets) for different teams or functions, and you need to ensure seamless communication, file sharing, and calendaring between users on both platforms.
- How We Integrate: We configure directory synchronisation for calendar and contact sharing, enable federation between Microsoft Teams and Google Chat/Meet where feasible, and implement secure file transfer and collaboration mechanisms between OneDrive/SharePoint and Google Drive. This reduces friction and enhances collaboration regardless of the primary productivity suite.
- By leveraging our expertise in both Google Cloud and key Microsoft technologies, PacifiQ17 ensures that your multi-vendor environment operates as a cohesive, powerful whole, driving efficiency and innovation across your entire organisation.
Let’s Build Smarter, Together
Ready to modernise, automate, and accelerate your business with the power of Google Cloud and AI? Speak to our experts today to explore how PacifiQ17 can help you unlock intelligent growth and achieve your most ambitious goals.