KSavrKSavr
Agentic Cost

KSavr Turns Invisible Spend into Actionable Intelligence

Traces every dollar to services, models, teams, and customers through the Context Graph. Finds waste across AI, cloud, and SaaS that no single tool can detect.

01The Problem

Your AI spending is invisible. The invoice isn’t

1
Invisible AI Spend
Teams burn frontier model tokens on tasks a lightweight model handles identically.
2
Fragmented Bills
AWS, Azure, GCP, SaaS tools, and internal systems each bill separately. Aggregation is manual and always stale.
3
Runaway Agents
An autonomous agent cascades through six tool calls. $47 in 90 seconds. Nobody notices.
4
No Attribution
Nobody knows which service, model, team, or customer drives the cost.
5
Month-End Shock
The agent that ran 847 tasks last month cost $23,000 more than budgeted. You have no idea which tasks drove the overage.
02The Difference

Today’s tools show you the bill

KSavr finds savings across AI, cloud, and SaaS that no single tool can detect.

Without KSavrWith KSavr
Manually aggregate bills across clouds, SaaS, and internal systems with tag-based allocation.Every dollar attributed to service, model, team, and customer through the Context Graph.
No AI inference cost visibility across providers.Token consumption correlated across Bedrock, Vertex AI, and direct API calls. Compound Cost surfaced.
Manual cost reports assembled monthly.Real-time anomaly detection with root cause attribution in minutes, not months.
No agentic workflow cost tracking.Full cost tree from user task through reasoning, tool calls, and sub-calls to final synthesis.
03Who it's for

Built for the people who own spend

CFOs & Finance Leaders
Cost attribution in business language, not cloud tags.
Every dollar traced to teams, services, and customers. Cost-to-serve per customer reveals true margins. No more quarterly allocation arguments.
Engineering & Platform Teams
Per-service, per-model cost visibility in real time.
Know which service is burning the most tokens, on which model, for which customer. Anomaly alerts fire in minutes, not months.
AI/ML & Agent Teams
Full cost trees for every agentic workflow.
From user task through reasoning, tool calls, and sub-calls. Total task cost as a single number with complete attribution.
04In Action

Cost Intelligence in Action

Vulnerability + High AI Spend = Elevated Risk

SCENARIO

The Security Agent flags a critical vulnerability in a service. Separately, KSavr shows that same service burns $500/day on frontier model tokens processing customer data.

QUESTION

Does the cost exposure change how we prioritize this vulnerability?

ANSWER

The Context Graph connects the vulnerability to the service's AI spend and data flows. Compound Risk now includes a cost dimension: critical CVE → $500/day frontier model service → customer PII processing → breach + cost exposure. The fix gets prioritized above a similar CVE in a dormant service.

Frontier Tokens on Lightweight Tasks

SCENARIO

Three services are calling Opus for classification tasks. A $0.002 Haiku call returns identical results. Monthly burn: $12,000 on a task that should cost $400.

QUESTION

Which services are using expensive models on tasks where a lightweight model produces the same result?

ANSWER

The Context Graph maps every service to its model calls and task types. KSavr surfaces the waste: Opus classification calls → 3 services → identical Haiku output → $11,600/month recoverable. Model routing rules ship in a single config change.

Autonomous Agent Cost Explosion

SCENARIO

An autonomous agent with a bad plan cascades through six tool calls, each invoking a frontier model. $47 consumed in 90 seconds. The team finds out on the month-end invoice.

QUESTION

What was the total cost of that agent task, and which tool calls drove the spend?

ANSWER

KSavr reconstructs the full cost tree through the Context Graph: user task → reasoning model plan → 6 tool invocations → sub-calls to frontier LLM → $47 total. Threshold alerts now fire in minutes. The team that owns the agent gets notified, not the finance team 30 days later.

05See it

Ready to see where your AI spend is really going?

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