Cost control and key management for AI APIs
Bring financial control to AI consumption.
SpendRails gives organisations control over usage-based AI spend
by connecting budgets directly to the people, teams, agents,
applications, projects and customers consuming it.
A financial control layer
for enterprise AI.
Set financial limits around people, teams, agents,
applications, projects and customers.Track who is spending what.
Protect underlying provider API key credentials from
leakage.Apply controls before usage becomes bill shock.
SpendRails sits between your infrastructure and the AI models
you use, applying budgets and attribution to every call. It is
hosted in your own cloud or data centre, needs no changes to
your application code and is simple to deploy.
That gives teams more freedom to adopt and expand AI, while
keeping spend within clear financial boundaries and having
the cost analytics to clearly understand the spend drivers.
See how it works.
Traditional financial controls weren’t built for AI consumption.
Spend can move faster
than budgets
AI is billed per call, and
autonomous agents
make many of those calls
unsupervised, so consumption
can increase faster than
budgets and financial controls
can keep pace.
Usage is
fragmented
Spend can be spread across
providers, people, teams,
agents, applications, projects
and customers, making
it difficult to see who is
spending what.
Ownership is
disconnected
Finance owns the budget.
Engineering runs the
infrastructure. The controls
governing AI spend often sit
somewhere between the two.
Provider keys put your
data and your wallet at risk
A single provider key is often
shared across people, code
and agents, and access to it
can also mean access to your
data and the spend behind it.
Give your teams the freedom to scale AI usage.
SpendRails connects financial budgets to AI consumption, checking each
request against the available budget before it is passed to the AI provider
and reconciling actual usage afterwards.
Virtual Keys
AI keys leak more easily
than most teams realise.
A provider key can end up in shared code or a team chat
without anyone noticing, and whoever finds it can use it,
including AI agents. SpendRails replaces provider keys with
virtual keys, managed in one place alongside your budgets.
Real keys stay hidden
Provider API keys are encrypted in the vault and
never handed out, so no one sees them.
New virtual keys can be issued
in one click
Virtual keys can be minted at the click of a button
allowing seamless rotation and distribution.
One real key, many virtual keys
Each real provider key is protected behind many virtual
keys, given out to people, teams, agents, applications,
projects and customers.
Leaked keys stay contained
A leaked key can never spend more than its owner's budget, and it stops working when it expires. If you spot a leak, you can
revoke that key instantly, without impacting anything else.
Platform Features
Built for AI consumption at enterprise scale.
Granular
budget controls
Set budgets and limits around
people, teams, agents,
applications, projects and
customers, so AI spend is
governed at the level where it
is actually consumed.
Multi-provider
management
Manage usage across major
AI providers including OpenAI,
Anthropic, Google Gemini,
Amazon Bedrock and Azure
through one consistent
financial control framework.
Spend attribution
Trace AI consumption back
to the people, teams, agents,
applications, projects and
customers responsible for it,
giving finance and technology
a shared view of usage.
Alerts and
enforcement
Choose how SpendRails
responds as budgets are
consumed. Spend stops at
your limit with a warning first,
or you can set alerts only.
Usage reconciliation
and chargeback
Track actual consumption
against budget and attribute
usage to the people, teams,
agents, applications, projects
and customers responsible for
it, supporting clearer internal
chargeback and customer
billing.
Virtual AI keys
Real provider keys stay
encrypted and are never
handed out. SpendRails uses
virtual keys to manage access
to the AI models, without
requiring changes to your
application code.
No slowdown
Checks run automatically
on every call. When a limit is
reached, approve a top-up and
carry on with the same key.
Prompts stay private
SpendRails never stores your
prompts or responses, and
none of your data is sent to us.
Usage data is handled in line
with GDPR.
Who It’s For
One platform. Shared accountability for AI spend.
Finance
Connect AI consumption
to budgets and ownership,
with clearer visibility into
where spend originates
and how budgets are being
consumed.
Technology
Set financial boundaries
around AI usage without
creating a manual approval
process for every request.
AI & product
teams
Give teams the freedom
to build, test and scale AI
applications within defined
budgets and access
policies.
Leadership
Move as quickly as you
want with AI while keeping
a clear view of spend and
profitability as adoption
expands across the
organisation.
Companies
running AI agents
Every agent, team and
project has its own budget
and record.
Software
companies with
AI features
Each customer gets a limit,
protecting your margin.
Agencies and
integrators
Each client has its own
budget and billing record.
Regulated
industries
For sectors such as banking,
telecoms and healthcare,
SpendRails runs inside your
own environment.
Scale AI quickly and keep it under control.
SpendRails keeps your spend within budget and your keys protected
while your teams adopt AI at the pace they need.