Most mid-tier Australian businesses didn't choose their cloud architecture. They accumulated it. A lift-and-shift from on-premise in 2019. A separate AWS account a team set up for a single project. An Azure tenancy that came with Microsoft licensing. A GCP environment for one machine learning experiment that never got turned off. Three identity providers across them. No common tagging. No clear ownership of the running bill.

The cost reveals itself in the line items. Reserved instances never purchased. Development workloads running through the weekend. Storage tiered as if everything were hot data. Egress charges nobody noticed until a marketing analytics export ran daily for a year. The waste compounds because nobody on the team has time to audit, and the cloud bill quietly becomes a board-level operating expense.

There's a range of reasons why your organisation might need cloud and network advisory:

• Data centre exit
• Cloud overspend
• Multi-cloud sprawl
• Outage event
• Compliance pressure
• M&A consolidation
• Vendor renegotiation
• Disaster recovery test
• AI workload
• Acquisition integration

Cloud has become the operational substrate of the business, not an experiment. The companies that get this right treat their cloud architecture as deliberately as their financial controls: documented strategy, costed forecasts, tested disaster recovery, and infrastructure defined as code rather than configured in consoles. The artefacts on this page are what that documentation looks like.

• A Cloud Migration Program with workload assessment, target platform selection (AWS, Azure, GCP, or hybrid), and a sequenced cutover plan with rollback criteria.
• A Multi-Cloud Architecture document specifying which workloads sit where and why, with unified identity, security and cost management across providers.
• A Cloud Cost Optimisation report identifying reserved-instance opportunities, right-sizing recommendations, scheduled-resource policies and orphaned-asset retirements with quantified annual savings.
• A Disaster Recovery Design covering RTO and RPO targets, multi-region failover, and automated recovery testing.
• Infrastructure as Code templates (Terraform, CloudFormation, Bicep) for repeatable deployment across dev, staging and production.

Frontier AI compresses the work that used to require a dedicated FinOps team. Cost anomaly detection across millions of line items in minutes. Right-sizing recommendations generated from actual utilisation patterns rather than vendor heuristics. Tagging compliance audited automatically across thousands of resources. Security configuration baselined against CIS benchmarks continuously. The cost-optimisation work that traditionally consumed three months of consultant time runs in days, and the savings compound because the monitoring continues after the engagement closes.

The advice is provider-neutral. Whitehot has no resale relationship with AWS, Azure or GCP that would bias a recommendation toward one over another. The architecture you receive is the architecture the workloads actually need.

The traditional choice has been a big-four cloud advisory engagement at tier-one rates with a three to four month timeline, or a hyperscaler-led architecture review that converges on whichever provider is paying for the engagement. Whitehot is the third option: enterprise-grade cloud architecture delivered in weeks rather than quarters, with the documented evidence your platform team can act on and your finance team can defend.