ANTS Platform Agentic ITAM: the system of record for enterprise AI

Use cases

What ANTS Platform does for your enterprise AI

Four questions every IT leader is asked about AI. Pick yours.

See customer stories

What AI is running in my company?

Find every AI tool and agent

Discover · 4 use cases

Where is our AI money going?

Put budgets on every model call

Spend · 4 use cases

Is our AI actually paying off?

Prove what AI returns

Value · 4 use cases

Is our AI staying inside the lines?

Enforce policy while AI runs

Govern · 4 use cases

Discover · Discover AI

Know every AI in your enterprise

Find every AI tool and agent in use, see who uses it, give it an owner and rank it by risk, before you write a single policy.

Discover AI

Shadow AI discovery

Built forCIOCISO

The problem

Employees adopt AI tools before IT reviews them, many inside apps already allowed.

How ANTS solves it

The Endpoint AI Agent and browser extension inventory AI tools across browsers, desktop apps, CLIs and IDEs.

OutcomeA live AI inventory that stays current.

Proof point · Fortune 1000 IT consulting firm

4 weeks

from kickoff to the first complete AI inventory

170+

AI agents, each with a named owner

traces a month in one record

Measure · Budget AI

Control AI spend before the invoice arrives

Budget AI is the AI gateway between your teams and the model providers: one entry point, keys with owners, and budgets that hold.

Budget AI

AI gateway for model access

Built forPlatform engineering

The problem

Teams reach model providers directly, each with their own provider keys and no shared controls.

How ANTS solves it

Budget AI sits in front of the model providers as one entry point; provider credentials are held centrally and never handed out.

OutcomeOne front door to every model.

Proof point · Fortune 1000 software company

4,500

developers reaching Anthropic models through Budget AI

$5M

annual Anthropic spend under budget control

20%

less overspend after retiring 10% unused keys

Measure · Gauge AI · Reclamation

Prove where AI pays off

Turn usage and spend into evidence of value, find what to cut, and give the CEO, CFO and board one set of numbers.

Gauge AI

AI adoption measurement

Built forCIObusiness leaders

The problem

Leadership can’t see how widely AI is actually adopted, by team or by tool.

How ANTS solves it

Gauge AI measures usage patterns and behaviour by team, app and user from the shared record.

OutcomeAdoption data you can take to the board.

Proof point · Fortune 1000 software company

10%

of keys found unused and retired

20%

reduction in overspend

All

Anthropic traffic visible by model, key and team

Govern · Governance AI

Govern AI while it runs

Governance AI watches agents and AI applications at runtime and enforces policy before a violation reaches a customer, a regulator or the board.

Governance AI

Sensitive data guardrails

Built forCISOprivacycompliance

The problem

Personal, payment and health data can leave in a prompt or come back in a response.

How ANTS solves it

Detects PII, PCI and PHI in prompts and responses and applies the action your policy sets.

OutcomeSensitive data stays under your control.

Every violation, on the record

Each violation is logged with full trace context and can trigger an action. The record feeds your security team and your audit program.

LogAlertBlockRedactAudit logsRequest tracingSIEM exportNIST AI RMF evidenceISO/IEC 42001 evidence

Who it serves

CIO

Inventory, adoption and board reporting

CISO

Guardrails, risk and audit evidence

CFO / FinOps

Budgets, chargeback and reclamation

Platform engineering

One AI gateway, keys and model access

Start with one use case.

Most teams begin with discovery or spend control, then extend to value and governance on the same record.

Step 1

Mutual NDA

ANTS provisions an isolated tenant, with SSO through Okta or Azure AD.

Step 2

Security review

Your infosec and architecture teams review data handling and deployment.

Step 3

Scoped pilot

Pick the use cases that matter most, agree success criteria, and get a first AI inventory.