AI Platforms

Managed AI infrastructure on AWS Bedrock and Google Vertex AI, and enterprise deployment of Microsoft 365 Copilot. Compliant by design, governed from day one, and scaled to your workloads. Enterprise AI without the operational burden.

AI that your organisation can actually rely on.

Most organisations want the benefits of AI without the exposure that comes from building it themselves. Our AI Platforms thread covers three distinct layers: Microsoft 365 Copilot for staff productivity within your existing Microsoft environment; managed foundation model access via AWS Bedrock and Google Vertex AI for custom and enterprise workloads; and the governance frameworks that make all of it compliant and operationally sound. Each layer is different. Each needs to be deployed and managed correctly.

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Tell us about your use case and current cloud environment. We will map out the right AI platform architecture and a path to deployment.

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Core capabilities

01

Microsoft 365 Copilot

Governed deployment and management of Microsoft 365 Copilot across your tenant: licensing, data boundary configuration, sensitivity labels, audit logging, and staff readiness. AI inside the tools your team already uses, without the compliance exposure.

02

Managed AWS Bedrock

Fully managed access to foundation models via AWS Bedrock, including provisioned throughput, model selection, IAM controls, and VPC-isolated deployment within your AWS environment.

03

Managed Google Vertex AI

End-to-end management of Vertex AI workloads on GCP: model endpoints, Workload Identity, private networking, and integration with your existing Google Cloud environment.

04

AI Governance & Compliance

Data residency controls, audit logging, access boundaries, and policy frameworks aligned to Australian Privacy Principles, ISO 27001, and sector-specific requirements, covering Copilot, Bedrock, and Vertex AI.

05

Secure Data Pipelines

Private, encrypted data pipelines connecting your enterprise data sources to AI endpoints. No data traversing public paths, no third-party model training on your content.

06

Model Operations (ModelOps)

Ongoing management of deployed models: performance monitoring, cost optimisation, version control, and rollback capability across both AWS and GCP environments.

07

AI Platform Advisory

Independent assessment of AI readiness, whether that means starting with Copilot, building on Bedrock or Vertex AI, or all three. We help you choose the right layer for each use case.

AI inside the tools your team already uses.

Microsoft 365 Copilot brings AI directly into Word, Excel, Outlook, Teams, and the rest of the Microsoft 365 suite. But deploying it correctly, with the right data boundaries, sensitivity labels, and audit controls in place, is not the same as turning it on. We manage the full deployment: licensing, tenant configuration, data governance, and staff readiness, so your organisation gets the productivity gain without the compliance exposure.

Your staff are likely already using AI tools. Copilot gives them a governed path: one where your data stays inside your Microsoft tenant, under your control, with a full audit trail.

Read: AI Governance in 2026Talk to Us About Copilot

Managed AI runs on managed cloud.

AWS Bedrock and Vertex AI don't exist in isolation: they depend on a well-governed cloud foundation. Our Cloud & Modern Workplace thread covers the AWS and GCP infrastructure, identity, and networking that underpins every AI deployment we manage.

Cloud & Modern WorkplaceTalk to Us

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