Provisioning is only the beginning
A successful deployment still needs an accountable owner, an approved purpose, a financial boundary and a defined end. Acumy keeps those conditions attached after resources reach the cloud.
The non-production control plane
Governance that moves as fast as your builders.
Acumy governs why environments exist, who owns them, what they can spend and when they should end. Control begins before infrastructure is created and continues throughout the lifecycle.
AcrossAWSMicrosoft AzureGoogle Cloud
A complete operating model
FinOps typically starts with spend. Acumy starts with intent.
Capture purpose, ownership, workload, budget, policy and expiry before provisioning. Then keep that context attached through operation and retirement.
Why a dedicated control plane
Non-production is not simply a smaller version of production
It is created more frequently, changes more quickly and often exists for a limited purpose. Test environments, sandboxes, proofs of concept and model-validation workloads may be essential today and unnecessary tomorrow.
The tools used to provision infrastructure, enforce cloud security and analyse bills each solve part of the problem. Acumy connects the missing operational context across the entire lifecycle.
Understand the Acumy control modelTags cannot carry the operating model
Tags are useful signals, but they are often inconsistent, incomplete or applied after creation. A Workspace holds the richer governance record that teams need to make decisions.
Cost visibility arrives too late
Traditional cost tools show what has already been consumed. Acumy introduces budget accountability at request time and retains the context needed to interpret spend later.
Automation increases the control gap
Developers, pipelines and AI agents can all create infrastructure. Acumy gives each route the same policy gate while preserving who or what initiated the request.
Request to retirement
Control that persists
A governed path for developer requests, workflows and AI agents across AWS, Microsoft Azure and Google Cloud. Policy is not a one-time check. Budget, schedule, ownership and expiry continue to shape how the environment operates.
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
Govern before deployment
Every request becomes an accountable Workspace
A Workspace is Acumy’s governed unit of non-production cloud. It combines the infrastructure request with its operational contract, so technical and financial context travels with the deployment instead of being reconstructed from tickets, tags and billing data later.
PurposeWhy it exists
OwnerWho is accountable
BudgetWhat it may consume
PolicyWhat is permitted
ScheduleWhen it should run
LifecycleWhen it renews or ends
Workspace
ActiveProject Atlas / model validation
Preflight complete8 / 8 controls
Approved template
Budget within team limit
Automatic retirement
AllowRequire approvalBlock
Actual product
Discover the estate before governing what comes next
Acumy connects to cloud accounts, stages what it finds and surfaces ownership, tagging and Workspace context. Teams can review gaps in the current estate before applying the governance model to new requests.
Acumy DiscoveryProduct interface
One connected platform
Discover. Govern. Commit.
Acumy connects three decisions that are normally separated: understanding the estate that already exists, governing what is created next and interpreting which demand is dependable enough to inform commitment planning.
01
Discover the existing estate
Surface resources, owners, tag gaps and missing operational context across cloud accounts.
Explore Discovery 02Govern what happens next
Turn each request into a policy-checked Workspace with an owner, purpose, budget and end date.
Explore governance 03Commit with context
Separate reliable aggregate demand from temporary sandbox activity to support more accountable decisions.
Explore intelligenceHuman request
AI agent request
Workflow request
ACUMYIntent + policy
AI infrastructure governance
More makers require governed self-service
AI agents can create infrastructure at machine speed and through workflows that may never involve a conventional service ticket. Acumy gives agent-created environments their own identity, permissions, accountable team, budget and time boundary while preserving governed self-service.
One context, multiple teams
Move faster. Govern better. Spend smarter.
Each team keeps its own responsibilities while working from the same operating context. Engineering sees a route to approved capacity, CloudOps sees policy and lifecycle, FinOps sees accountability, and leadership sees a more reliable basis for planning.
Engineering
Move without ticket-chain delay
Request approved, reusable environments while ownership, limits and lifecycle stay visible.
CloudOps
Control through the lifecycle
Apply policy and access before provisioning, then automate renewal, expiry and retirement.
FinOps
Create accountability before spend
Connect budgets and cost responsibility to the reason every environment exists, then review usage with ownership and lifecycle still attached.
Procurement and leadership
Plan from dependable demand
Separate persistent aggregate demand from short-lived activity before evaluating commitments and commercial decisions.
Trust & security
Access stays in the customer's hands.
Acumy separates discovery from authorised control actions, works through scoped cloud identities and preserves a record of the decisions made throughout each Workspace lifecycle.
Customer-controlled authorisation Scoped permissions by workflow No application payload access required Revocable in the customer cloudExplore Trust & Security
Control non-production by design