InferenceViewby Intelix Systems
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Enterprise AI Activity Intelligence

Know where your AI is going.

One view of every AI your company uses — who's using it, what it costs, and what just changed.

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No login. Live demo on real-looking data.

6
AI providers, one view
21
models, metered & priced
41
apps attributed to owners
1
place to see it all
Products

One layer. Three products.

Built in the order you need them — from today's AI bill to tomorrow's agent economy.

Today

What AI did my people and applications use?

Tomorrow

What did my agents use, buy, and consume?

Eventually

Are my autonomous agents making economically rational decisions?

The problem

AI is everywhere. Nobody can see all of it.

Every team, tool, and agent is now buying AI. The questions pile up fast:

How much AI are we using — and who owns the bill?
Why did the bill jump 28% — and who did it?
Is anyone using unapproved AI with our data?
What's overpaying for a frontier model it doesn't need?
Does the provider bill match what we actually used?
What showed up this week that wasn't here last week?
How it works

Discover → Attribute → Reconcile → Optimize

Not a token meter or another dashboard — the layer that ties them all together.

01

Discover

Find every AI in use — across providers, apps, and teams. Including the shadow AI nobody approved.

02

Attribute

Tie every dollar to a real owner: a person, app, team, or cost center. No guesswork.

03

Reconcile

Match your usage against the provider's bill. Every number is one you can defend in a budget review.

04

Optimize

Catch overkill, loops, and waste — ranked by what you'll save and how hard it is.

What changed

Your AI changes daily. Most teams find out on the invoice.

We show what appeared, spiked, or went weird — and explain why, who owns it, and what to do.

New model detectedGemini 3 Pro appeared in Marketing workloads.
2h ago
Spend anomalyFinance AI consumption increased 47% versus its four-week baseline.
5h ago
Shadow AI detectedTraffic consistent with an unapproved AI application from 18 endpoints.
1d ago
Provider shiftEngineering moved 31% of inference volume from OpenAI to Anthropic.
2d ago
Not just what — why

Cause: 81% of Finance's jump came from one new workflow running an oversized model.

Fix: route it back to the smaller model. Saves $8,420/month — owner and evidence attached.

Numbers you can trust

A number you can't defend is a number you can't act on.

Every figure is graded by how we know it — so you always know how much to trust it.

Authoritative

Metered straight from the provider. Exact tokens, exact requests.

Reconciled

Matched to the actual bill — credits, discounts, and all.

Estimated

Modeled from partial signals, and always labeled as such.

Discovery

Spotted on the network. Flagged as a lead — never as a billed cost.

The honest part most vendors skip: you can't read encrypted AI traffic to count exact tokens. So we don't pretend to. Discovery finds it; provider data meters it; the bill settles it. That's why a CFO and a CISO can both trust the same screen.

InferenceView Scout

See first. Change nothing.

A read-only collector that maps your AI without touching a thing. No prompts read. No traffic intercepted. No agents in the way. Deploy it, see results the same day.

Your enterprise AIproviders · copilots · SaaS AI · agents · API keys · local & private models
CollectionInferenceView Scout · provider APIs · gateways · billing exports · identity systems
InferenceViewattribution · reconciliation · change detection · evidence grading
DecisionsDiscover · Attribute · Reconcile · Optimize
Privacy

Full visibility. Zero content.

We never need your prompts or responses to do any of this — and they stay off by default. The sentence your legal team was hoping to read.

Who it's for

Everyone gets their question answered.

CFO / FinOps

  • Where is the money going?
  • Can we reconcile it to billing?
  • What can we save?

CIO / CTO

  • What AI operates across the enterprise?
  • Which providers are we dependent on?
  • How is usage evolving?

CISO

  • Where is shadow AI appearing?
  • What activity is sanctioned?
  • What new risk surfaced this week?

Platform Engineering

  • Which models and apps consume what?
  • Where are retries and bad routing?
  • What belongs on smaller models?

Business Unit Leader

  • How much AI does my team use?
  • What does each workflow cost?
  • Is it creating value?
InferenceView by Intelix Systems

Seeing it is step one.

InferenceView shows you what your AI is doing and costing. Intelix Systems helps you fix it — architecture, optimization, governance, and private AI, done with you.

AI spend optimizationModel routingPrivate AISovereign AIInfrastructure TCOAI governanceOperational redesign
intelixsystems.com ↗

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