For CTOs

Know what every squad and their agents spend. Without hiring a FinOps lead.

Per-squad, per-agent allocation across cloud and AI, pushed where your engineers already work. Enough context to build cost-aware decisions, without adding another approval gate.

Which of my engineering teams is drifting on their infra budget this quarter?

Answered with Costory

€42.1k

+31% vs. budget · Payments team

Payments is the only team over budget this quarter. Driver: release v2.4 on Mar 10 doubled fraud-detection traffic on AWS, plus Datadog ingest ×3 the following week.

Want a weekly recap of team spend in Slack, flagging anything over budget?

Schedule weekly Slack report

#eng-leadership · Mondays, 9:00

SET UP

Which of my engineering teams is drifting on their infra budget this quarter?

Answered with Costory

€42.1k

+31% vs. budget · Payments team

Payments is the only team over budget this quarter. Driver: release v2.4 on Mar 10 doubled fraud-detection traffic on AWS, plus Datadog ingest ×3 the following week.

Want a weekly recap of team spend in Slack, flagging anything over budget?

Schedule weekly Slack report

#eng-leadership · Mondays, 9:00

SET UP

Thinking

THE GAP

You can't build a cost culture on a number you don't have

Cloud and AI spend is growing +XX% year over year. The bill lands as one opaque line per provider, and every month:

Nobody knows what each squad, or the agents it runs, actually spent

Every cost question routes back to the head of infra

Engineers make trade-offs on latency and reliability with no cost signal next to them

Finance reports a number nobody else in the room can fully defend

What Costory delivers

One cost layer, read by everyone who ships

Unit economics by product, feature, and customer

Allocation maps every line item to the business dimension that matters (product line, feature, customer segment, squad), with the same numbers showing up in the web app, in Slack, and in your BI tool.

One source of truth across engineering and finance

Spend from AWS, GCP, Azure, Datadog, OpenAI, Anthropic, and Cursor is normalized into one model, so the CFO, the VP Eng, the squad lead, and the infra lead all read the same number.

Cost movements explained, not just reported

Deploys, pricing changes, and traffic spikes are correlated at ingest, so when a line moves the explanation is already on the chart.

The endpoint your agents query

Your deploy, scaling, and on-call agents pull the same allocated spend and budget headroom your engineers use, through the same endpoint and the same allocation model.

Lightweight by design

Zero cost to the infra lead who's already over-asked

30 minutes via Terraform, using the tags they already maintain. No re-tagging project, no FinOps hire, no new dashboard to maintain. Your infra lead stays on roadmap work.

Use cases

Use cases built for engineering leaders

Unit economics

Tie infra spend to Amplitude usage, see margin per user cohort.

Cost per active user

Tie infra spend to Amplitude usage, see margin per user cohort.

What your exec team wants

The view board meetings actually need, ready to share.

Monthly reviews

Automated cross-team readout, context pre-attached.

Reallocate API costs

Attribute shared API and platform costs to the consuming teams.

Decentralize FinOps

Push ownership to squads. Cost visibility stops being one person's job.

Outcomes

What you get with Costory

Unit economics on the same cadence as velocity

Finance and engineering read the same number

Cost surprises surface on deploy, not in the monthly review

Your agents make cost-aware decisions by default

Weekly digest

What lands in your inbox Monday morning

A weekly digest, per squad, in Slack:

What your squad spent last week (cloud + AI)

What moved, which deploy caused it, whether it was within range

Budget headroom, forecast to month-end

No logging into a tool. No chasing the infra lead. The digest is the tool.

Pay for the context layer, not the dashboards

€250 / month flat — up to €10M annual spend

No percentage of cloud spend

No enterprise sales call

No need to hire a FinOps team

FAQ

Frequently Asked
Questions

Frequently Asked
Questions

Frequently Asked
Questions

How secure is my data, and what exactly do you access?

Read-only on a single billing dataset per provider (AWS CUR, GCP BigQuery export, Azure SAS, Datadog usage, LLM usage). No application data, no PII, no production access. Costory runs on Google Cloud with encryption in transit and at rest, authentication via SSO (OAuth, or SAML on the Plus tier).

Full security and subprocessor list:

€250 / month, is that real?

My tags are inconsistent, do I need to clean them up first?

How fresh is the data, and can I use Costory for real-time alerts?

What if you don't natively support one of my data sources?

How secure is my data, and what exactly do you access?

Read-only on a single billing dataset per provider (AWS CUR, GCP BigQuery export, Azure SAS, Datadog usage, LLM usage). No application data, no PII, no production access. Costory runs on Google Cloud with encryption in transit and at rest, authentication via SSO (OAuth, or SAML on the Plus tier).

Full security and subprocessor list:

€250 / month, is that real?

My tags are inconsistent, do I need to clean them up first?

How fresh is the data, and can I use Costory for real-time alerts?

What if you don't natively support one of my data sources?