Total cloud and AI spend. One dashboard. One daily signal.
AWS, GCP, Azure, OpenAI, Anthropic, Cursor, GitHub, Hugging Face, and Twilio — connected with read-only credentials. Total spend, daily signals, anomaly detection, and pace-to-forecast in one place. No more pulling numbers from five portals before the board meeting.
Why this spend is hard to control
Cloud and AI spend live in completely different tools. AWS Cost Explorer, the OpenAI usage page, GitHub billing — each portal shows a slice of the bill, never the total. Your board sees one number; you have no easy way to produce it.
Board and CFO reporting requires manual aggregation from six or more sources. By the time you have a clean number it is Tuesday and the Monday review already happened.
Trends across the stack are invisible until something goes wrong. "Did OpenAI double? Did Actions cause the spike?" Without a unified view, you discover the answer at invoice time.
What StackSpend shows
One dashboard across cloud (AWS, GCP, Azure) and AI (OpenAI, Anthropic, Cursor, Hugging Face, Grok) with a combined total — the number your board actually cares about.
Daily Slack or email signal: green, amber, or red. Anomaly detection fires the day a provider spikes, not at month-end invoice. Webhook delivery for incident workflow integration.
Pace-to-forecast across the full stack. See where the month will end before it does. Budget tracking per provider or total.
What we track
Common cost triggers
Real scenarios that cause spend to spike — often silently.
AI inference spend doubles during a product launch while cloud infrastructure scales in parallel
A developer experiment using Claude runs unchecked over a weekend and goes unnoticed
Migrating from one AI model to another changes cost by 3× without anyone flagging it
CI/CD minutes spike from a broken workflow the same week as a cloud cost anomaly
Provider-native dashboards (Cost Explorer, OpenAI usage, etc.)
Native tools are built for investigation. StackSpend is built for prevention.
Provider-native dashboards (Cost Explorer, OpenAI usage, etc.)
- Cloud and AI spend live in completely different tools — no unified total exists
- Board reporting requires manually pulling numbers from 5+ sources
- No cross-stack anomaly detection — a spike in one provider does not trigger an alert in another
- Trends across the full technology stack are invisible without a spreadsheet
StackSpend
- One dashboard for cloud and AI spend — the total your board actually cares about
- Daily signal across the entire stack: cloud, AI APIs, dev tools, communications
- Cross-stack anomaly detection and unified forecasting
- Board-ready total technology spend without manual aggregation
Who this is for
CTOs and platform leads who need a single number for total technology spend — cloud plus AI — without building a data pipeline.
Engineering managers running teams across AWS and multiple AI providers who need to track and explain each component of the bill.
Finance and CFOs evaluating whether cloud and AI costs are being actively controlled or just discovered retrospectively each month.
What you get when you connect
Most teams can connect and validate setup in about 5-10 minutes.
Read-only credentials only. StackSpend does not modify provider resources or billing settings.
Daily Slack or email updates, anomaly alerts, and budget tracking in one workflow.
Historical spend context plus pace-to-forecast so overruns are visible before month-end.
Frequently asked
What providers does StackSpend support for unified cloud and AI monitoring?
How does StackSpend differ from AWS Cost Explorer or OpenAI usage dashboards?
Can I get board-ready cloud and AI cost reporting from StackSpend?
How long does setup take?
Start seeing your full stack spend.
Connect cloud + ai cost monitoring in under 5 minutes. 90 days of history loaded automatically. Daily signals from day one.