Intent attached
Purpose, owner, workload type and the initiating human, workflow or agent are captured before anything is provisioned. The request becomes a durable operating record.
Acumy platform
The operating model for non-production cloud.
Bring requests, policy, provisioning, budgets and retirement into one control plane across every team, automation path and cloud.
Live operating model
Controls active
Developer
AI agent
Workflow
CLI / API
ACUMY CONTROL PLANEGovern intent
PurposeOwnerBudgetPolicyExpiry
Workspace · ATL-204ACTIVE
Project Atlas12h lease€420 budget
AWSAzureGCP
Govern the full lifecycle
Control that starts before deployment
Dashboards explain what was spent. Provisioning tools create resources. Acumy establishes why non-production infrastructure should exist, what it is permitted to do, who is accountable for it and when it should end.
Policy evaluated
Identity, workload, account, region, services, access and duration can be checked before the request is allowed, routed for approval or blocked.
Budget embedded
Financial limits and accountability travel with the environment throughout its life, so spend can be interpreted against what was originally approved.
Lifecycle enforced
Schedules, renewals, expiry and retirement keep temporary infrastructure temporary, with deliberate exceptions rather than open-ended existence.
One continuous context
Request to retirement, without the hand-offs
The same governance context persists while infrastructure is created, used, reviewed and retired. At each stage, teams can see the original intent and apply the next decision without rebuilding context from separate systems.
01
RequestCapture intent
02
PolicyCheck guardrails
03
ProvisionCreate safely
04
ObserveTrack context
05
BudgetMaintain limits
06
OptimiseAct in lifecycle
07
ExpireRenew or end
08
ReclaimRetire cleanly
Designed to fit the cloud estate
A control layer, not a replacement programme
Acumy is designed to sit above the tools and cloud services organisations already use. Teams can continue to request infrastructure through a portal, API, CLI, automation workflow or AI agent. Acumy standardises the governance decision before the approved provisioning path continues.
This creates one accountable operating model across AWS, Microsoft Azure and Google Cloud without forcing every engineering team into an identical delivery workflow.
Request layer
Human self-service, APIs, command-line tools, pipelines and agent-driven workflows.
Acumy control layer
Intent capture, identity, policy, approval, budget, schedule and lifecycle decisions.
Cloud and provisioning layer
Existing approved templates and provisioning processes across the three major clouds.
Operating lifecycle
Context-aware observation, renewal, optimisation, expiry and clean retirement.
A single front door
Humans, agents and pipelines enter through the same controls
Acumy preserves the delivery paths teams already use while making every request accountable. The source of the request remains visible, and the same core controls apply regardless of whether the initiator is a person, a pipeline or an agent.
AI agentsGive each agent request an explicit identity, initiating workflow, scope, permissions, budget and time boundary.
Engineering workflowsOffer reusable templates and policy-aware self-service through API, CLI or portal while retaining the approved purpose.
Platform operationsApply a consistent governance vocabulary across AWS, Microsoft Azure and Google Cloud while teams retain their own delivery paths.
The Acumy difference
“The deployment does not lose its reason for existing once it reaches the cloud.”
Ownership, purpose, policy and economics stay connected as operating context instead of being scattered across tickets, tags and billing exports.
Explore WorkspacesSee Acumy in operation