Cloud Advisory Solutions Book the audit
Continuous AWS governance & FinOps automation

Your AWS estate changes every hour. Your governance shouldn't wait until someone checks it tomorrow.

Make AWS governance automatic.

We find the waste, name the owner, and put every risk on a live dashboard with clear alerts — plus safe, opt-in automation where you want it. Your cloud stays clean without a cleanup project.

Book a call Connect with us Browse the Policy Suite
400+ policy-as-code controls ~150 AWS resource types auto-tagged Dashboards + alerts on QuickSight
Governance control looplive
AWS accounts & resourcesThe estate, changing constantly
Evaluate policyScheduled scan + live events
Prioritize by spend & riskFix what matters first
Report, alert & verifyDashboard + alerts; safe fixes opt-in
0%cost insight on your bill
0%compliant in days
24/7anomaly watch

Evidence-backed findings — where you can reduce cost on your own bill, not numbers from past customers.

AWS cost & governance · itemised

AWS tells you what you spent. Your business needs to know what it produced.

Visibility isn’t accountability. AWS resources need accountability before they are pretty‑printed on any dashboard.

AWS can tell you the account, the service, the region and the amount. It cannot tell you which customer, product, feature or team created that cost — or whether the spend created business value. The modern AWS problem is not idle EC2: it is shared infrastructure, ephemeral workloads, microservices, AI workloads and data transfer. The cloud became dynamic; your cost model did not.

We close that gap.

Spend Ownership Attribution Business economics

Who owns it?
Every meaningful cloud cost has an accountable owner.
What drove it?
Infrastructure spend connected to workloads, products, features, customers and tenants.
What does it cost?
Raw AWS spend turned into unit economics — cost per customer, feature, tenant, environment or transaction.
What did it produce?
Cloud spend read in the context of revenue, margin and business outcomes.

No new platform between you and AWS.

We don’t move your cloud economics into another black box. We work inside your AWS environment — your cost data, your accounts, your tags, your governance policies.

Your AWS Your data Your ownership Your policies Your economics

Stop managing the bill. Start managing the economics.

See the cost insights →

AWS-native · Read-only first · No agents · Your data · Your policies

After the engagement

What stays running in your account.

The deliverable is not a report. It is a standing set of controls, running as policy inside your own AWS organisation — grouped here the way the industry names them.

Cloud Cost Management

The spend side: waste no console screen itemises, found, priced and routed to an owner.

  • Workload Optimization compute, databases and storage measured against what they actually do
  • Network Cost Optimization EC2-Other decoded — cross-AZ chatter, NAT-heavy paths, missing endpoints
  • Observability Cost Management retention as policy; ingestion measured against what anyone actually reads
  • Anomaly Management & Budget Guardrails rate-of-change alarms and hard caps that fire before the invoice

Cloud Governance

The rules of the estate: what may exist, where it may run, and for how long.

  • Lifecycle & EOL Management versions and certificates AWS is about to retire, flagged before the forced upgrade
  • Account & Service Guardrails the baseline every account keeps — required services on, in every region, always

Continuous Compliance

Proof produced continuously, instead of the week before the audit.

  • Tag Compliance owner, environment and cost centre present on every resource, checked every day
  • Compliance Readiness (CIS Benchmarks) trail, config history, key rotation, MFA — the first questions any auditor asks

Automated remediation · the delivery model

New resources are fixed at creation.

The moment a resource is created in violation, the creation event itself triggers the policy — tagged, corrected or quarantined before it settles into the estate.

The existing estate is reported, never touched.

Everything already running surfaces as a ranked finding with an owner attached. Remediation happens when you approve it, not before.

How the engagement runs

Nothing enforces until you say so.

The order matters here, so it is numbered: every policy reports before it ever acts, and you decide when — or whether — it graduates.

  1. Step 1 Read-only to start Measurement needs one IAM role, scoped to read. Nothing installed, nothing changed, no agents in your accounts — and it stays that way until you approve a policy.
  2. Step 2 The estate, ranked Every resource ranked two ways: what it costs you, and where it breaks policy. Utilisation measured over a window, not a snapshot.
  3. Step 3 The statement Where collection meets action. The column gets filled in — real figures, the named resources behind each one — and against every line we agree what happens next: report it, or remediate it.
  4. Then Enforce, then verify Your approval to enforce is the first time we ask for more than read — a role scoped to exactly the policies you approved, promoted one at a time, on the accounts you choose. Baselines are re-measured so the effect is a number, not a claim.
  5. Ongoing Guardrails, in report + remediate mode Continuous governance across cost, security and compliance: every policy reports its findings, and the fixes agreed on the statement apply automatically — new violations corrected at creation, the existing estate ranked for review.

How we back it up

The claims above, itemised.

Statement of unmeasured AWS spend Account ———————————— Period every month so far
Statement of unmeasured AWS spend. Five categories of cost, each with an amount that has not been measured on your account.
Line Description Amount
01 Unattributed resources no owner, no cost centre, no team not measured
02 Idle and forgotten compute running, billed, doing nothing not measured
03 Data transfer nobody can trace the bill calls it EC2-Other not measured
04 Telemetry nobody reads ingested every second, queried never not measured
05 Runaway execution the bill that arrives before the alert does not measured
Total you are already paying not measured

Every amount above is unknown, and we are not going to guess it. Anyone who quotes you a percentage before looking at your account is quoting someone else’s estate. The audit is the thing that fills in this column.

  • owner=?
  • cost-centre=?
  • environment=?
  • CloudTrail lookback
  • tag-on-create

Unattributed resources

You cannot cut a cost you cannot assign to anyone. If a resource has no owner and no team on it, nobody is accountable for it, so nobody argues for deleting it. It survives every cleanup, quarter after quarter.

How we find it

We rank every resource in the estate by spend, then work down from the top. Where a resource has no owner, we trace its CloudTrail history back to the IAM identity or role that created it and surface a likely owner. Live CloudTrail history covers roughly 90 days; where you archive to S3, we reach back further.

What we do about it

New resources get tagged at creation — the event fires, policy resolves the required tags, the resource is compliant before anyone notices it existed. Existing resources get an owner attached from the evidence trail, so the argument about deleting them can finally happen.

  • EC2 near-zero CPU
  • RDS zero connections
  • idle NAT gateways
  • unattached load balancers
  • zero-invocation Lambda

Idle and forgotten compute

The proof-of-concept from last spring. The instance behind a service you turned off. The database nothing connects to any more. Nothing breaks, nothing alerts, and all of it keeps billing by the second.

How we find it

Utilisation over a meaningful window, not a snapshot. Compute with no meaningful CPU or network. Databases with zero connections. Load balancers with no targets. Endpoints serving no requests. Functions that have not been invoked in months.

What we do about it

Findings are ranked by monthly cost and routed to the owner we identified in line 01. Clear-cut cases can be retired automatically once you approve that policy; everything else is a dashboard entry with a name against it.

  • EC2-Other decoded
  • cross-AZ chatter
  • NAT data processing
  • missing VPC endpoints
  • flow-log × CUR join

Data transfer nobody can trace

Two services chatting across an availability-zone boundary. Traffic reaching S3 through a NAT gateway when an endpoint would carry it for a fraction of the price. Replication that was somebody’s default, not somebody’s decision. The bill rolls all of it into EC2-Other and DataTransfer, and no console screen will tell you which two resources are generating it.

How we find it

We join VPC Flow Logs against the cost and usage report to put names on the transfer lines — which talker, which listener, which zone boundary, what it costs a month. It is exactly the analysis that cannot be done by hand at scale, which is why in most estates it has never been done at all.

What we do about it

Chatty services placed in the same zone where the architecture tolerates it. Gateway endpoints in front of S3 and DynamoDB so that traffic stops paying NAT rates. And a policy that flags the next NAT-heavy path while it is still small enough to be nobody’s fault.

  • never-expire log groups
  • ingest vs query ratio
  • debug logging in prod
  • unread custom metrics

Telemetry nobody reads

Observability is the one part of the bill that grows fastest when everything is healthy. Debug logging left on after the incident ended. Log groups keeping everything forever because nobody chose otherwise. Custom metrics multiplying dimension by dimension. None of it is idle — it is written every second — so no idle-resource scanner will ever flag it.

How we find it

Ingestion volume per log group, set against how often anything actually queries it. Retention set to never expire. Debug-level logging running in production. Metrics and dashboards with no alarm attached, no reader, and no purpose anyone can name.

What we do about it

Retention becomes policy rather than a default. Verbose logging is sampled or switched off where nothing consumes it. High-volume groups move to cheaper ingestion tiers or straight to S3. The logs you actually read are not touched.

  • concurrency caps
  • DLQ coverage
  • recursion protection
  • rate-of-change alarms

Runaway execution

Serverless scales instantly, including its mistakes. A recursive trigger, a retry storm, a loop that writes to the queue it reads from. The architecture works exactly as designed, at a volume nobody designed for, and the first signal is the invoice.

How we find it

Concurrency ceilings, retry configuration and dead-letter queues audited against what your workloads actually need — plus anomaly alarms on cost and usage that fire on rate of change, not on a monthly threshold you cross once.

What we do about it

Hard concurrency caps where they belong. Dead-letter queues where failed events currently reprocess forever. Recursive-invocation protection on. Alarms that reach a human in minutes rather than a finance report in weeks.

Worth knowing

Our promise

We do not promise a savings number.

A percentage quoted before anyone has read your account is someone else’s number. What we put in place is control over yours.

And control is not a one-off cleanup. This is more than cost optimisation: the same continuous governance that finds today’s waste is watching for the cost anomaly that has not happened yet — next month’s, next year’s, whenever it arrives.

Why now

Every control we ship exists because some team already learned it the hard way.

Don’t wait for the pain to become yours.

We gather the AWS horror stories teams trade across communities — the surprise bill, the public database, the Lambda that recursed itself, the resource nobody could explain — and turn each one into a ready‑made control. You inherit the fix before you ever feel the problem.

While we are in there

The same scan sees your security drift.

This is not why you should hire us, and we are not going to pretend otherwise. But once you are reading every resource in the estate, you can see which volumes are unencrypted and which endpoints are open to the internet. You get that list too. There is no extra charge and no upsell attached to it.

  • Unencrypted volumes and snapshots
  • Publicly reachable databases
  • Security groups open to 0.0.0.0/0
  • Credentials unused for 90+ days
  • Regions with CloudTrail disabled
  • + dozens more from the same pass

The artifact

The Policy Suite.

400+ policies, written and version‑controlled — readable YAML in your repository, built on Cloud Custodian, running inside your own accounts. No platform to buy, nothing to migrate onto, and you keep them if you stop working with us.

  • Ownership & attribution
  • Public exposure
  • Compliance readiness
  • Resilience & continuity
  • Runaway & end-of-life
Browse the Policy Suite →