Every provider. One dashboard.
Track AI costs across your entire AI stack and understand exactly where spend is happening and who is responsible for it.
- Live spend data refreshed every 5 minutes across 8+ providers
- No more manual reconciliation - one standardised view across every provider, team, and project
- Automatically attribute every AI cost to the team and project that triggered it
Spend trend, by provider or model, with automatic anomaly flagging - live in the SAVI console.
Your AI Spend Is Fragmented. Your Reporting Shouldn't Be.
As AI adoption grows, so does complexity. Costs are scattered across providers, invoices arrive on different schedules, and reporting is often fragmented. Without a unified view, controlling AI spend becomes reactive instead of proactive. Finance teams struggle to track costs, identify trends, and hold teams accountable. The result? Surprises on the invoice, missed opportunities for optimization, and a lack of confidence in AI investments.
Invoice lag means you're always governing last month's spend
Provider invoices arrive 2-4 weeks after the spend occurs. By the time Finance flags an overrun, the next month's charges are already accumulating.
Vendor-incompatible pricing units make comparison impossible
OpenAI bills per token, Bedrock bills per 1K tokens, Azure adds per-request fees, and Cohere charges by the character. No spreadsheet normalises this reliably.
No team attribution means no accountability
Without tagging and chargeback, AI spend is an undifferentiated corporate cost. No team owns it, no manager is accountable, and no one changes their behaviour.
See spend the moment it happens
SAVI updates cost data from every provider every five minutes, not once a day. When a new model goes live, its cost impact is visible within minutes. Spikes are caught early, and budget limits kick in before overspend builds. Take action before the invoice arrives.
| provider | model | unit price | normalised |
|---|---|---|---|
| OpenAI | GPT-4o | $5.00/1M in$15.00/1M out | $0.50 / 1K tokens |
| Anthropic | Claude Sonnet 4 | $3.00/1M in$15.00/1M out | $0.45 / 1K tokens |
| Azure OpenAI | GPT-4o + request fee | $5.40/1M + $0.002/req | $0.54 / 1K tokens |
| AWS Bedrock | Llama 3.1 70B | $0.99/1K in$1.99/1K out | $0.15 / 1K tokens |
| Google Vertex | Gemini 1.5 Flash | $0.075/1M in$0.30/1M out | $0.02 / 1K tokens |
| Cohere | Command R+ | $3.00/1M in$15.00/1M out | $0.45 / 1K tokens |
Swipe to see all columns →
Cost Normalisation · All Providers · $/1K tokens · 30/70 input/output blended average · Rates sourced monthly
Stop comparing six vendor invoices. Compare one number.
Every AI provider charges differently - per million tokens, per request, different rates for input and output. SAVI normalises every model to a single $/1K tokens figure so finance, engineering, and procurement are always looking at the same number.
- One cost metric across every provider - OpenAI, Anthropic, Azure, Bedrock, Vertex, Cohere, all expressed in the same unit. No spreadsheet required.
- Rate changes surfaced before your next invoice - when a vendor changes their pricing, SAVI flags the delta immediately so finance knows before the bill arrives.
- Built for procurement conversations - export the comparison table for vendor negotiations, board reporting, or architectural decisions. Numbers are sourced and dated.
Know which team owns every dollar of AI spend.
CFOs get the cost allocation they have been asking for since the first AI invoice arrived. SAVI automatically attributes every AI call to the team, project, and cost centre that triggered it - no manual tagging, no engineering work. FinOps teams get automatic chargeback reports. Engineering managers see their own spend without needing dashboard access.
- One AI call. Attributed to team, project, cost centre, and product feature - automatically.
- Works with your existing setup - no changes to how your team builds or deploys
- Showback reports emailed to team leads on a configurable schedule
Team Chargeback · This month · $47.2K of $58.5K total budget
Scheduled Reports · Active · Next delivery: in 3 days
Share dashboards your CFO actually reads
Reports delivered directly to every stakeholder - on a schedule, in a format they already read.
No dashboard login. No manual export.
Your CFO sees AI costs the same way they see cloud costs: governed, attributed, and on a schedule.
Cost Dashboard
Can you answer what AI cost you yesterday?
6 questions. Answer honestly.
Can you see your total AI spend across all providers right now - not on yesterday's report?
Do you know which team generated the largest AI invoice last month, down to the project level?
Can you see which AI provider is giving you the best value for the same task - without a manual spreadsheet comparison?
If a new model was deployed this afternoon, would you see its cost impact before end of day?
Does your CFO receive a regular AI spend summary without needing to log into a dashboard?
Can you attribute 100% of your AI spend to a budget owner - no unallocated costs?
This checks one slice of your AI estate. Take the full AI Cost Ownership Assessment →
Your AI gap score
Answer to begin
Complete all questions to see your result
See your whole AI spend in one view.
SAVI normalises, tags, and attributes every AI dollar across 8+ providers in real time. Your first month of spend data is free.