The AI Margin Defense Layer For Production AI

Stop guessing your COGS.
Start defending your margins.

Finance-grade attribution, active governance, and budgeted execution for Production AI applications. Integrate Koreflow to your AI calls to prevent runaway loops and stabilize unit economics in real time.

On-prem, inside your perimeter Spend by business flow Auto-Wire — live in an afternoon
app.koreflow.com / economics
Koreflow economics dashboard showing total spend, AI call cost, tokens, cost by model, and cost by customer, with Kora insights alongside
Every Call
Wrapped and monitored at the SDK call boundary
Fully Mapped
Attributed to your actual customers, features, and pipelines
Active Defense
Real-time budget policies that synchronously halt runaway spend
100% Sovereign
Deployed on-prem within your private VPC perimeter
The problem

Why Production AI Spend Behaves Erratically.

Two forces make AI cost impossible to predict with traditional monitoring — and both compound inside a single user session.

Agentic Processing Chaos

User Invocation triggers recursive validation logic, self-correction, and nested loops that cascade past the Runaway Threshold Boundary.

Dynamic Inference Variance

The exact same API route scales costs by orders of magnitude based on payload complexity (e.g., summarizing 30 pages vs. 3,000 pages).

⚠️ CFO Risk Warning: A single unmonitored retry loop in an automated process run can drain thousands of dollars in minutes.
BOARDROOM SURPRISE — 01

The Subsidized Scale Trap

"Our top customer increased usage by 40% this month, but total gross margin dropped. Are we actually making money on these users, or are we subsidizing their token bills?"

BOARDROOM SURPRISE — 02

Forecast Blindspots

"Our LLM spend changes wildly every week based on arbitrary user behavior. How can we plan our runway or pricing tiers when our underlying COGS is a moving target?"

BOARDROOM SURPRISE — 03

Unchecked Spikes

"A single user action or a rogue background loop can trigger massive cost anomalies. Why do we have to wait for the cloud invoice to find out?"

The platform

From Black-Box AI Spend to Finance-Grade Margins.

Bring financial accountability to your production workloads without slowing down engineering.

Granular Attribution

Slice and dice spend by Feature, Pipeline, Customer, App, and Environment using actual business dimensions.

Active Enforcement

Evaluate budget policy checks synchronously at the call boundary to alert, throttle, or halt executions before they cost you money.

Predictive Forecasting

View trends, model unit economics, and test alternative scenarios to protect your margins before deploying code.

Customized Business Flows

See AI spend with your business dimensions.

Break down AI usage and cost by the parts of business driving it, not just by model. Every dimension you tag is immediately available, so "where is this money going?" is just one click away.

  • Spend, share, and cost-per-call for every business flow
  • Slice by process, app, environment, or any custom dimension
  • Export any breakdown to CSV for finance in one click
app.koreflow.com / entities
AI spend broken down by business flow — intake, fraud detection, decisioning — with share and cost per call
Finance-Grade Attribution

Expose the margin erosion. Down to an agent, customer, pipeline, or model.

Maps every model execution directly to your actual business dimensions in real time. Instantly answer the critical unit-economic questions finance keeps asking: Which customers are underwater? What is our exact COGS on onboarding vs. support? And are we actually making money on our highest-usage tiers, or are we subsidizing their token bills?

  • Calculate true cost-per-run: Surface Unit Economics and Map real-time token spend directly to customers, features, and pipelines
  • Review your AI margins: Compare AI consumption against customer contract values to protect your gross margin from silent erosion.
  • Compare and learn: Track margins across different LLMs to pinpoint exactly where premium model upgrades are generating ROI versus wasting budget.
app.koreflow.com / customers
Margins dashboard showing gross margin trending negative over several months, with monthly revenue and AI cost breakdowns
Active Enforcement

Stop Runaway Spend in Real Time.

Budget policy checks run synchronously at the call boundary, before the dollars leave your account. Escalate and handle issues before the invoice arrives.

  • ALERT: Flags unusual spend spikes without disrupting the user flow.
  • THROTTLE: Slows down AI calls to curve your spend according to set budgets.
  • HALT: Hard-stops a customer or feature run when monthly or per-user caps are breached.
app.koreflow.com / policies
Active Forecasting

Defend Your Future Margins.

Move from backward-looking invoices to forward-looking predictability.

  • Accurate forecasting by evaluating various trend & comparison models based on your history.
  • Scenario Modeling: Forecast spend based on your roadmap (e.g., adding an AI agent, downgrading a model, etc.).
app.koreflow.com / economics / forecast
✦ Meet Kora

An analyst who already read every number.

Kora is your Koreflow AI helper.
Translates complex spend telemetry into clear, executive-ready insights.
Analyzes data in real-time to answer questions, produce reports and configure your system.
Integrates Koreflow into your code base.

"How much are we spending on AI for customer onboarding this month?"
"Which customer is driving the most cost — and what's the risk?"
"Where are we over-spending on the premium model, and what would switching save?"
  • Grounded in real figures, no hallucinations
  • Shows its work, then suggests the next move
  • Configurable and customizable, make it your own
Kora answering a question about cost concentration with grounded analysis and next steps
Insights

Automatically generated insights.

Koreflow generates meaningful insights from your data. Spend spikes, model improvements, customer usage anomalies and more.
Configure what insights interest you and see the magic happen.

  • Customer trends, account signals, and spend concentration
  • Kora-powered, grounded in your live data, not generic templates
  • Tune what counts as significant, refresh on a cadence, export as a report
app.koreflow.com / insights
Kora-powered insights surfacing spend avoided by policy, account signals, and cost concentration
Why Koreflow

Control without compromise.

The visibility of a SaaS analytics tool, with the trust boundary of software you run yourself.

On-Prem VPC Deployment

Run fully inside your own AWS, GCP, or Azure perimeter. Telemetry is captured and processed locally — meaning your customer data, prompt payloads, and raw model tokens never leave your network boundary.

Absolute Key & Data Control

You own the deployment, the database, and the AI keys. No third-party API dependencies holding your sensitive production data or operational credentials. Your system configurations stay entirely under your control.

Fail-Open Application Resilience

Designed for zero-latency impact on the critical hot path. Telemetry is offloaded asynchronously, and the proxy fails open — if your infrastructure experiences an issue, your production AI application never goes down.

GitOps & Configuration Control

Your budget parameters and routing rules live as plain declarative files in your own Git repository. Version, audit, and deploy changes through your existing CI/CD pipelines. No vendor lock-in, ever.

The team

Built by operators who lived the problem.

Two decades of infrastructure and reliability engineering, paired with enterprise-AI product leadership — the ingredients it takes to make AI spend accountable.

Yuri BernsteinYB

Yuri Bernstein

Co-founder · Engineering

Nearly two decades in infrastructure, reliability, and DevOps — turning messy systems into platforms you can observe, predict, and trust. He builds the engine that makes AI usage into numbers you can defend.

Connect on LinkedIn yuri@koreflow.com
Yinon GenudYG

Yinon Genud

Co-founder · CEO

A veteran product leader building at the intersection of enterprise software, customer experience, and AI. Yinon focuses on turning complex, high-throughput AI workloads into structured, financially predictable products that protect company margins.

Connect on LinkedIn yinon@koreflow.com

See your own AI spend, explained.

Bring your use case and we'll walk you through a live demo — see exactly how your business would look with every AI dollar attributed, forecastable, and under control.

Prefer email? yuri@koreflow.com  ·  yinon@koreflow.com