We cut one client’s tech bill by 91%.
Let’s look at yours.

Platforms we audit: AWS, Microsoft Azure, Google Cloud, Terraform, GitHub, Snowflake, Databricks, Datadog, Python, PostgreSQL and Apache Airflow.

You didn’t spend years maximising profits, only to overspend on infrastructure that’s not adding value.

Temple is a London consultancy that helps finance firms cut cloud and technology costs, reduce technical debt and simplify their infrastructure, so engineers spend their time on work that moves the business.

91%reduction in
tech spend
5×the client’s original
savings target
10+years building tech across
fintech, legal tech and startups
Our vision

A specialist consultancy for finance firms.

temple

After years of building, trial and error, and people coming and going, software gets messy. It gets complicated. Velocity slows down, and the project you’re most excited about keeps slipping into the future.

Teams settle into habits that become “how it is”: not great, but that’s how we do it. Nobody owns tidying up the loose ends.

I’ve seen this pattern in engineering teams from start-ups to enterprise fintech. That’s why I started Temple.

We give finance firms a full understanding of their technology: how it works today, what it costs, and what would make building easier and cheaper.

We’ve already cut one client’s infrastructure bill by 91%, by removing what they didn’t need and documenting the rest, so their engineers could spend their time on work that moves the business.

Thank you for reading. If any of this sounds familiar, I’d love to talk. And ultimately, we’d be honoured to have you as a client.

Nick Apps
Nick AppsNick AppsFounder
The problem

Where the money and the time go.

01

“Nobody can explain what the cloud bill is paying for.”

Costs grow, but nobody can say which systems drive them or whether they still need to run. Budget conversations turn into guesswork.

02

“Every change takes longer than it should.”

Years of quick fixes, duplicated services and legacy dependencies make simple changes slow and risky. Every new project pays for the old ones.

03

“We find out about problems in production.”

Manual deployments, code that no longer matches what is running, and access that has grown too broad. Releases become fragile.

04

“Our best engineers spend their week on upkeep.”

Maintenance crowds out the work the business needs. Your most expensive people keep things running instead of building what comes next.

The solution

Most tech estates grow tangled. We leave yours understood.

Every platform you add connects to a few others. A few years on, nobody can say what depends on what, so every change is slow and every bill is a guess. We trace each connection, remove the ones you don’t need and document the rest.

Before TempleTangled
  1. 1. Audit. Every connection tracedWhat talks to what, and why.
  2. 2. Define. Waste flaggedDuplicate tools and paths marked for removal.
  3. 3. Implement. Cut and simplifiedCode ships and data flows, from commit to report.
How we work

Audit. Define. Implement. Ongoing.

Four steps, and you sign off each one before anything changes.

  1. 01

    Audit

    We read every account, invoice and pipeline.

  2. 02

    Define

    Every finding ranked by impact and risk.

  3. 03

    Implement

    Agreed changes, checked against the next invoice.

  4. 04

    Ongoing

    Optional reviews, so costs stay down.

See what working with us looks like →
The proof

The same platform. A tenth of the bill.

Savings that compound.

YOUR BILL TODAY

Looks normal on the invoice


Text-to-speech nobody used$16,020
17 orphaned load balancers$4,212
Always-on Lambda capacity$5,676
Duplicate security services$2,928
Old environments and snapshots$7,488
Oversized database and containers$1,764

+ Staging left running after it was retired

+ Nobody reading the bill line by line

+ Estimates never checked against the invoice


Total bill$41,157
MOSTLY WASTE

AFTER TEMPLE

Only what the platform needs


Database and containers$1,562
Networking and load balancing$1,321
Monitoring, storage and the rest$895

+ Every line accounted for

+ Your team builds instead of babysitting


Total bill$3,778
91% LOWER

We cut one client’s AWS bill by 91% in six months.

The client is an enterprise data and research company whose customers include Fortune 500 companies, governments, NGOs and leading universities. The bill fell from $3,430 in April 2026 to $315 in September: about $37,400 a year, against an original target of about $7,600.

  1. $3,430Apr
  2. $2,349May
  3. $763Jun
  4. $499Jul
  5. $310Aug
  6. $315Sep
Monthly AWS usage from the invoices, April to September 2026

How

  • Read every invoice line by line, not the console summary.
  • Inventoried every account and every region.
  • Removed unused environments, closed leaks, right-sized what was left.
  • Checked every estimate against the next bill.

What else it found

  • Infrastructure records that hadn’t matched production since 2023.
  • A deployment role with far broader access than it needed.
  • Production changes that could run without a guard.
  • A single point of failure in the delivery path.
Get in touch →
Questions

What firms ask us first.

What does an audit involve?

We review your cloud and infrastructure spend, how your systems are built and deployed, and the controls around them. That usually means agreed access to billing, infrastructure and code, plus conversations with the engineers who run things. You get written findings ranked by impact and risk, with estimated savings where we can quantify them.

Who do you work with?

Finance firms with a meaningful technology estate: hedge funds, quantitative trading firms, private-credit managers and specialist asset managers. Usually the engineering team is busy, the cloud bill keeps growing and nobody owns the clean-up. We work across AWS, Azure and Google Cloud, and the tools that usually sit on top: Terraform, Snowflake, Databricks, Postgres, GitHub and Datadog.

How long does it take?

It depends on the size and complexity of the estate. We agree the scope and timeline with you before we start, once we understand what is involved.

Will this disrupt our engineering team?

We need some time from the people who know your systems, mainly to grant access and answer questions. We agree that time in advance and plan around releases and other critical periods.

Do you implement the recommendations?

We can. You can work with us, hand the findings to your own team, or combine the two. If we implement, our fee comes only from the savings we deliver.

How do you handle confidential data?

We agree confidentiality, access and data-handling terms before any work begins, ask for the least access the work needs, and follow your security policies. We do not name clients or share their details without permission.

How are engagements priced?

In two parts. The audit is a flat fee, agreed before we start. Implementation is paid from results: a one-off fee of 30% of the first year’s savings, measured from your bills before and after each change. You keep 70% in year one and all of it after that. If we don’t cut your costs, you don’t pay for implementation.

Sound familiar?

You’ll know in two minutes
if we can help.

Cloud spend that keeps climbing

The bill grows every quarter and nobody can say exactly why.

Technical debt

Simple changes take weeks because nobody wants to touch the old code.

A team stuck firefighting

Your best engineers spend the week keeping things running, not building.

Infrastructure nobody can map

Accounts, regions and services added over years, with no clear picture.

Paying for things you don’t use

Idle servers, forgotten environments and licences nobody logs into.

Releases that feel risky

Manual deployments, untested changes and a nervous Friday afternoon.

Gaps you’d rather not explain

Unclear access, unmanaged secrets and backups nobody has tested.

One person holds the keys

Your whole platform lives in one engineer’s head.

Let’s untangle your stack.

Get in touch