Approsyz

Lower your cloud and IT costs. Then put the savings into AI.

Approsyz finds the waste in your cloud and IT operations, removes it with your team, and brings AI spend under control so you can scale AI with confidence. A shared plan in 3 days. First savings in a week.

Book a free Jumpstart See how it works

Free to start. No obligation. Read-only access, on any cloud.

Approsyz Control Illustrative

Your estate

  • AWS−24%
  • Microsoft Azure−31%
  • Google Cloud−19%
  • Oracle, IBM and private cloudAny

Operations agent

Any risk to tonight's settlement run?
One upstream feed is running late. I've queued a safe retry and will hold the release until it clears.
runbook-12feed-status

Waste found

$810k

per year, ranked by value

A plan in 3 days. Results in a week.

We start with read-only access and find where your cloud and IT money is going. Within 3 days you have a shared plan. Within a week, the first savings are live in your environment.

  1. Day 0

    Access granted

    Read-only, so your data stays in your environment.

  2. Day 3

    Your shared plan

    Priorities ranked by impact and value, agreed with your team.

  3. Day 7

    First results, live

    First savings and closed access gaps, live in your environment with your approval.

On any platform AWSMicrosoft AzureGoogle CloudOracleIBMKubernetesPrivate cloudYour data centre

Both timelines run from the day your team gives us read-only access, apply to a scoped Jumpstart, and are confirmed in writing before we start.

Already have a team or a tool? Good. We do the part they do not have time for.

Finding waste is the easy part. The hard parts are acting on it safely, proving the number and keeping AI spend under control.

Findings sit in the backlog.

Your engineers are busy shipping product. We do the work alongside them, with your approval and a rollback for every change.

Nobody can prove the number.

We agree how savings are counted before we start, then report against that baseline every week, so finance can sign off.

AI spend has no owner.

Tokens, GPUs and agents are tracked by team and product, so you can scale AI without a surprise bill.

Hiring takes months.

Senior engineers from day one, on a fixed 3-day plan. No long ramp-up and no new tool to buy.

If your team already acts on every finding and can prove every saving, you may not need us. We will tell you that in the first conversation.

Three ways to work with us.

Jumpstart

Free, scoped and capped.

Read-only access, a shared plan in 3 days and first savings in a week.

Project

A fixed fee for a defined outcome.

A cost programme, an access review or an AI pilot, with the result agreed up front.

Partnership

A team that owns a target.

A monthly retainer, or part of the fee as a share of verified savings.

What the first week can look like.

A payments company on AWS and Azure, with rising cloud spend, a growing support queue and an audit coming up.

Illustrative scenario

Day 3, your shared plan

$810k

of annual cloud waste, found and ranked with your team.

The plan also flags 3 shadow admin accounts and lists the quickest fixes first.

Day 7, first results

$96k

a year already saved.

14 idle clusters switched off and 11 unused admin permissions removed, all with your approval.

Weeks 2 to 8

25%

of routine tickets targeted for automation.

A service desk agent is tested on the company's own tickets before it goes live.

Figures are modelled for illustration and follow the calculator's default assumptions below. They are not results from a named client.

See what yours would look like

What could your cloud and IT savings be worth?

Move the sliders to match your estate. Every assumption is visible, so you can take a number you trust into your next budget review.

Idle, oversized and orphaned resources. This is an assumption, not a benchmark: your Jumpstart measures the real figure.

Estimated annual savings

—

Over three years: —

Annual cloud spend— → —

Saving — a year

Annual service desk cost— → —

Saving — a year

Remaining cost Saved

An illustrative model, not a quote. Your free Jumpstart replaces these assumptions with your own billing and ticket data.

Validate my numbers

Cut the cost first. Then build what is next.

Most engagements start with a cost and risk review of your cloud and IT. The savings fund what comes next: AI agents, tighter security and the engineers to deliver. Start with any practice below.

Find the waste. Keep the savings.

We find idle and oversized spend on every platform you run, remove it with your approval and track the savings weekly. AWS, Azure, Google Cloud, Oracle, IBM, Alibaba, private cloud and your own data centres.

  • ✓FinOps with your team: right-sizing and automated idle-waste removal
  • ✓One cost and risk view, whichever platforms you add next
  • ✓AI and SaaS spend tracked alongside cloud
  • ✓Migration, landing zones and platform engineering when the plan calls for it

Book a free cost JumpstartHow cost optimization works

Every platform, one viewIllustrative
Approsyzone view AWS −24% Microsoft Azure −31% Google Cloud −19% Oracle Cloud IBM Cloud Alibaba Cloud Kubernetes VMware Private cloud Data centre
Public, private and hybridSavings tracked weeklyAny platform you add next

Start anywhere. We cover the rest.

Tap anything to add it to your enquiry. Not listed? Tell us what you need and we will assemble the team.

Put the savings into AI that does real work.

Every business runs on repeated decisions. We build agents that take them on, prove they work on your data, and keep them safe, accurate and affordable once they are live.

  • Service desk agent

    Resolves routine requests end to end and hands the rest to an engineer with the full context attached.

  • FinOps agent

    Finds idle and oversized resources every day and proposes fixes for your approval.

  • Access review agent

    Flags unused and excessive permissions across every cloud before your auditors do.

  • Operations agent

    Watches payment and batch flows, retries safely and raises change records with the evidence.

  • AI spend control

    Tracks tokens, GPU hours and model calls by team and product, with budgets, alerts and unit costs. How it works

Not on the list? We build agents to your needs, from knowledge assistants to full workflow automation.

Service Desk Agent · run 4417Illustrative
Why did payment batch 4417 fail?
  • Read the job logs from the last run
  • Found the settlement file arriving 14 minutes late
  • Retried the job. It passed.
  • Opened change record CHG-2291 for the upstream delay
Batch 4417 is fixed. The upstream feed was 14 minutes late, so I retried the job and raised a change record for the feed owner. Nothing in production was changed without approval.
runbook-12CHG-2291audit-log
Guardrails onFull audit trailApproval required for changes

From legacy to AI-ready, one wave at a time.

  1. Assess

    Know what you have.

    Inventory workloads and data, classify what is sensitive, and score use cases by value.

  2. Pilot

    Prove it on one domain.

    Build a working agent and test it against questions your experts wrote.

  3. Migrate

    Move in waves.

    Run old and new side by side, with a tested rollback plan for every wave.

  4. Operate

    Keep it sharp.

    Monitor quality, latency and cost together, and retest whenever a model or data source changes.

Security is part of every wave: data residency mapped first, access inherited from your source systems, prompt-injection testing, and a full audit trail.

Book an AI Jumpstart

The capacity you need, the day you need it.

Hiring takes months and projects do not wait. Approsyz teams plug into your delivery, work to your standards and are managed by us.

Dedicated pods

A named team that works only for you.

Build, operate, transfer

We stand it up, run it, then hand it to your people.

Managed services

We own the outcome and the service levels.

Surge capacity

Extra hands for a migration, deadline or audit.

Cloud architects, DevOps and site reliability engineers, data and ML engineers, security engineers, QA automation, service desk analysts and delivery managers.

Running a regulated finance platform?

We run and support payments, trading and lending platforms with the change control and audit trails your regulators expect.

Talk to us about fintech

Build a team with us

A partner who stands behind the timeline.

Cost savings, security and AI usually sit with three different vendors. We put one engineering team on all three, on any platform, and commit to the dates in writing.

How an engagement starts

  1. Kickoff and read-only access

    We agree the one question you most need answered, and your team sits in on the work. We reply to your request within 4 working hours.

  2. Day 3: your shared plan

    Ranked priorities, risks and what each is worth, agreed with your team.

  3. Day 7: first results

    First savings and closed access gaps, live in your environment.

  4. Ongoing: run, improve, scale

    Your Approsyz team stays on to deliver the roadmap.

What we deliver against

  • ITIL 4
  • NIST CSF
  • ISO/IEC 27001 controls
  • PCI DSS
  • CIS Benchmarks
  • FinOps Framework
  • Well-Architected (AWS, Azure, GCP)

Security you can audit.

Least privilege, encryption and logging are defaults, with evidence your compliance team can use. Your data stays in your environment, and access starts read-only.

Questions buyers ask us.

What does Approsyz do?

We help companies lower their cloud and IT costs on any platform, then invest the savings in AI that works. That includes removing waste, bringing AI spend under control, securing cloud access, modernizing service management and providing engineering teams.

We already have a cloud cost team or a tool. Do we still need you?

Possibly not. If your team already acts on every finding and can prove every saving, we will say so. Many teams have tools that find waste but lack the time to act on it, a way to prove the savings, or an owner for AI spend. That is where we help.

What access do you need?

Read-only access to billing, usage and configuration data. Changes are proposed, approved by your owners and reversible. Your data stays in your environment.

How do you measure savings?

Before any work starts, we agree a baseline and how savings are counted. We then report against it every week, so your finance team can check the figures.

How is Approsyz priced?

The Jumpstart is free, scoped and capped. After that, work is a fixed fee for a defined outcome or a monthly retainer. For cost programmes, part of our fee can be a share of verified savings.

Which clouds and platforms do you cover?

Any. AWS, Microsoft Azure, Google Cloud, Oracle, IBM, Alibaba, Kubernetes, VMware, private cloud and your own data centres.

How quickly will we hear from you?

A senior engineer replies within 4 working hours. With read-only access, you receive a shared plan within 3 days and first savings within a week.

Let's build what's next, together.

Tell us where you want to get to. A senior engineer replies within 4 working hours, and your shared plan follows within 3 days of access.

  • ✓A conversation with an engineer. 30 minutes on your goals, your estate and what is in the way.
  • ✓A plan we build with you. Scope, timeline and price agreed together, in writing.
  • ✓We start where you are. Read-only access first, your data stays in your environment, and your team is in the room throughout.

Become a design partner.

We are working with our first design partners. Your Jumpstart is free, and we ask only for honest feedback and, if you are happy with the result, a reference.