AI spend + Adoption intelligence

Stop guessing &know what your AI isworth, finally.

Introducing KNTRL (“control”) — the simplest way to track AI spend, who’s actually using it, and how to optimize it to ensure it’s meeting your business goals — all in one place.

● SOC 2 Type II● Read-only● SSO ready
The Problem

AI spend is flying blind

Teams adopted AI faster than anyone could track it. The money keeps going out — but the visibility, and the control, never arrived.

Scattered across everything

AI hides in dozens of tools, seats and personal logins. No single number tells you what the company actually spends.

Why it mattersYou can’t manage — or defend in a budget review — a number no one can actually see.

No line of sight on value

Budgets climb every quarter, yet nothing ties the spend to adoption, outcomes or real ROI.

Why it mattersUnproven ROI is the first line finance cuts the moment budgets tighten.

Waste you can't see

Licenses sit idle while a handful of power users quietly blow past budget — invisible until the invoice lands.

Why it mattersIdle seats and silent overages compound into real money every single month.

Ungoverned by default

Teams sign up on personal cards and logins, outside procurement, security and policy. You often meet the tool when its invoice arrives.

Why it mattersUngoverned tools are exactly how data leaks and compliance gaps slip in.

Budgets that won't hold still

Usage-based token and seat costs swing month to month, so finance forecasts and renews on gut feel instead of data.

Why it mattersUnpredictable bills turn forecasting and renewal decisions into guesswork.
The Solution

From chaos to control

KNTRL is the system of record for AI value — every dollar measured against the critical business outcomes it’s meant to move.

Most tools hand you a dashboard. KNTRL hands you the next move.

It starts with your value context — the AI initiatives you log, each mapped to its tools, goal and status. We triangulate it with your AI spend and adoption — and optimize for growth first, efficiency second.

Value contextInitiatives → tools → goals
  • Log every AI initiative — team, tools, goal and lifecycle status
  • Each tool mapped to the outcome it's meant to move
  • Becomes the yardstick every AI dollar is optimized against
  • Fits how you work — not a generic benchmark
AI spend & adoptionEvery tool, token & seat
  • Every tool, token and seat reconciled into one number
  • Tied to who's actually using it
  • Spend without adoption is waste; adoption without outcomes is noise
  • KNTRL connects both
KNTRLoptimization engine
The next moveproactive plays that drive growth
  • Not a dashboard to decode
  • Reasoning models turn your value context into specific plays
  • Reclaim these seats, consolidate these tools, double down here
  • Ranked by impact on growth

And you steer it in plain English — no analyst required.

app.kntrl.io/ask
Knowledge

See every dollar, user, and outcome your AI touches — every tool reconciled into one clear picture.

Control

Govern spend and adoption, cut the waste, and steer AI toward the goals that actually move the business.

Track every dollar’s path

Connect once and watch each tool’s spend flow into the teams that use it — live, the moment something changes.

Curious what you’d reclaim? Model your AI return →

Spend flow · provider → teamribbon width = monthly $
LiteLLMEngineering$9.6KSales / RevOps$5.7KCustomer Exp.$4.2KMarketing$3.6KProduct$2.4KOperations$1.3K
LiteLLMEngineering$9.6KSales / RevOps$5.7KCustomer Exp.$4.2KMarketing$3.6KProduct$2.4KOperations$1.3K
Tracked / mo
$26.8K

One normalized view across OpenAI, Copilot, Claude & LiteLLM.

Active adoption
63%

Real usage vs licenses — idle spend surfaced in week one.

Reclaimable
$31.3K

Duplicate tools & idle seats flagged automatically, per year.

See where teams stand

Every team plotted by adoption and spend. The moment one drifts off-target, it moves on the map — no dashboard to build.

$11K$8.1K$5.4K$2.7K$0.0Ktarget 75%50%70%90%Adoption →EngineeringSalesCustomerMarketingProductOperations

Understand every seat

All 260 paid seats, grouped by team. Lit means used in 30 days; hollow amber is a license you’re paying for but nobody touches.

Engineering6 idle
Sales / RevOps5 idle
Customer Exp.9 idle
Marketing6 idle
Product3 idle
Operations18 idle

Use natural languageto know what’s happening

Ask in plain language. KNTRL answers from your live spend, adoption and goals — metadata only.

Where can we cut AI spend?
Your biggest lever is license waste — 78 idle seats equal $2,340/mo. Spend concentrates in three tools:
OpenAI$12.6K
Copilot$8.3K
Claude$5.9K
Which teams are over budget this month?
Three teams are tracking over budget — Marketing leads at 118% of plan.
Marketing118%
Customer Exp.104%
Sales / RevOps101%
Dashed line = 100% of budget
Who are our top power users?
Usage concentrates in a few power users — your top 10 drive 64% of spend:
Priya Nair$612
Marcus Reed$548
Dana Whitfield$410

Understand the value of AI in your firm

AI measured against your business goals — each KPI moving from baseline toward target.

See it against your own goals — notify me →

app.kntrl.io/teams
Efficiency

Ship features faster

PR → prod · 6.1d → 4.0d
4.6d
target
Growth

Grow qualified pipeline

SQLs / rep · 11 → 16
14
target
Quality

Resolve support faster

Time-to-resolve · 14.2h → 9.0h
10.8h
target
Growth

Scale content output

Assets / mo · 40 → 90
76
target
Forecast & Alerts

See it coming

Project where AI spend lands at quarter-end — and get pinged the moment spend or adoption crosses a line you set.

todayQ-end proj.

Stop forecasting blind — notify me →

How KNTRL Works

Live in days, not quarters

Shape your value context, connect your stack, and keep optimizing — KNTRL reads metadata only, over connections you control.

Step 01 · Shape

Log your AI initiatives

You log each AI initiative — its team, tools, goals, owners and status — alongside how your people and processes create value. That mapping of tools to outcomes is the value context every AI dollar is optimized against.

Step 02 · Connect

Connect your stack

Link providers and clouds — OpenAI, Anthropic, Microsoft 365 / Copilot, billing and data — via OAuth, scoped keys or MCP. Read-only, no agents.

Step 03 · Secure

Locked down by design

Least-privilege, metadata-only access aligned to SOC 2 Type II — your prompts and content never leave your tools.

Step 04 · Deploy

We embed with your team

Not throw-it-over-the-wall SaaS. KNTRL integrators forward-deploy with your team to configure and go live — you're never left fighting the integration alone.

Step 05 · Optimize

See, act & optimize

Not go-live-and-forget. KNTRL shows you where to tighten and where to double down — proactive moves, no analyst required.

Builtfor finance & ops

The everyday gaps KNTRL closes — from “where’s the money going?” to “is it actually working?”

Complaint

“AI costs are everywhere and nowhere.”

Every tool, team and license reconciled into one normalized number.

Value

Reclaim idle licenses

78 paid-but-unused seats flagged automatically — cut them in week one.

Complaint

“Is anyone even using what we bought?”

Active-seat adoption per team, updated live against targets.

Use case

Quarterly board review

Show exactly what AI spend bought, mapped to business goals.

Complaint

“Engineering’s API bill tripled overnight.”

Spike alerts the moment usage jumps — before the invoice lands.

Value

Kill duplicate tools

Spot two tools doing one job across teams and consolidate.

Use case

Budget vs. actuals by team

Per-team budgets with overspend flagged the second it happens.

Complaint

“Renewals sneak up with no usage data.”

Renewal-ready usage and ROI reports, on tap.

Value

Tie AI to outcomes

Every initiative measured against a goal — progress, not just a bill.

Use case

Forecast quarter-end spend

Project where AI spend lands and catch overruns early.

Complaint

“Security takes weeks to approve AI tools.”

Read-only, metadata-only — sign-off in a day, revocable anytime.

Value

Surface the waste

$31K/yr of reclaimable spend found automatically across teams.

Complaint

“AI costs are everywhere and nowhere.”

Every tool, team and license reconciled into one normalized number.

Value

Reclaim idle licenses

78 paid-but-unused seats flagged automatically — cut them in week one.

Complaint

“Is anyone even using what we bought?”

Active-seat adoption per team, updated live against targets.

Use case

Quarterly board review

Show exactly what AI spend bought, mapped to business goals.

Complaint

“Engineering’s API bill tripled overnight.”

Spike alerts the moment usage jumps — before the invoice lands.

Value

Kill duplicate tools

Spot two tools doing one job across teams and consolidate.

Use case

Budget vs. actuals by team

Per-team budgets with overspend flagged the second it happens.

Complaint

“Renewals sneak up with no usage data.”

Renewal-ready usage and ROI reports, on tap.

Value

Tie AI to outcomes

Every initiative measured against a goal — progress, not just a bill.

Use case

Forecast quarter-end spend

Project where AI spend lands and catch overruns early.

Complaint

“Security takes weeks to approve AI tools.”

Read-only, metadata-only — sign-off in a day, revocable anytime.

Value

Surface the waste

$31K/yr of reclaimable spend found automatically across teams.

Industries

Tuned to your value context

The outcomes AI should move look different in every industry — KNTRL optimizes against the ones that matter in yours.

Critical outcomes
Pipeline & NRRRelease velocitySupport deflection
Where AI concentrates

Eng copilots · sales drafting · support assistants

KNTRL’s next move

Engineering's Copilot spend is up 31% — but PR-to-prod barely moved. Reallocate 8 idle seats to the teams actually shipping.

Trusted by design

KNTRL reads usage & billing metadata — never your prompts or content.

🛡 SOC 2 Type II🔒 Read-only accessMetadata only🌐 US data residencyRevocable anytime

Get KNTRL of your top AI tools

The assistants, clouds and data platforms your teams already run on — connected in minutes.

Read-only connections pull spend, seats and usage from each tool — never your prompts or content — and reconcile them into one normalized view. Don’t see yours? New connectors ship every month.

OpenAIClaudeMicrosoft CopilotGeminiGrokGleanAWSMicrosoft AzureMicrosoft 365SnowflakePineconeSalesforceAgentforceGoogle AI StudioFigmaDatabricksRampCursorPerplexityLiteLLMHubSpotHugging FaceGitHub

Why KNTRL, not a spreadsheet

Cloud-cost tools track infrastructure. License tools track seats. A spreadsheet goes stale by Friday. KNTRL is built for AI spend, adoption and value — in one place.

KNTRLDIY / spreadsheetsCloud & FinOps toolsSaaS / license mgmt
Built for AI — spend, adoption & value
Links spend to who's actually using it
Measured against business outcomes
Proactive next move, not static reports
Ask in plain English — no analyst
Surfaces shadow AI (personal-card tools)
Live in days, minimal upkeep
Read-only · metadata-only · SOC 2

full  ·  partial  ·  none

KNTRLvsDIY / spreadsheets
Built for AI — spend, adoption & value
Links spend to who's actually using it
Measured against business outcomes
Proactive next move, not static reports
Ask in plain English — no analyst
Surfaces shadow AI (personal-card tools)
Live in days, minimal upkeep
Read-only · metadata-only · SOC 2
Pricing

Pricing that scales with you

Value-based pricing, sized to your organization — from a single department to an entire portfolio.

The model

Our fee scales with your AI spend under management — so our incentives align with yours. A percentage of the spend we actually help you manage, not a flat SaaS charge — so what you pay stays proportional to the value at stake.

Starter
For Department Heads
6%of AI spend
under mgmt
+ $10K–$40K setup
Managed AI spend$10K–$750K
Coverage1–2 departments
See the full picture for your first one or two teams.
Who Starter is for+
  • A single team or function getting started
  • A department head who owns the budget for one or two AI tools
  • Wants spend, seats and outcomes in one shared view before scaling wider
Start with Starter →
Most popular
Professional
For CFOs & COOs
5%of AI spend
under mgmt
+ $50K–$100K setup
Managed AI spend$750K–$2.5M
CoverageCompany-wide
Every dollar, seat and outcome — company-wide, in one view.
Who Professional is for+
  • Finance & ops leaders bringing every team’s AI under one roof
  • A CFO or COO who needs a complete, company-wide view of spend vs value
  • Briefing leadership and steering the next AI investment
Start with Professional →
Enterprise
For the C-Suite
4%of AI spend
under mgmt
+ $100K–$200K setup
Managed AI spend$2.5M–$7.5M
CoverageMulti-division
Unify AI spend and value across every division.
Who Enterprise is for+
  • Larger organizations with many divisions or business units
  • A C-suite team unifying AI spend & value across the company
  • Comparing and governing each division consistently
Start with Enterprise →
Portfolio
For PE Operating Partners
3%of AI spend
under mgmt
+ $250K–$550K setup
Managed AI spend$7.5M+
CoveragePortfolio-wide
One AI value lens across your entire portfolio.
Who Portfolio is for+
  • Private-equity value-creation teams
  • Operating partners running one AI value lens across a portfolio
  • Benchmarking companies and making AI a repeatable lever for returns
Talk to us →

All plans include a $25K pilot fee, credited toward your full engagement on conversion.

Not sure which tier fits? Calculate your exact cost & return ↓

Calculator

Model your AI return

Enter your AI spend to see what KNTRL costs — and the value it typically frees up. No email required.

Your estimated annual AI spend
$0/ year
$10K$10M+
Departments using AI
AI tools in play
Move the slider to begin
Value you can capture
typically recovered across comparable spend profiles, per year
Return on KNTRL
KNTRL cost / year
Est. go-live
Get a detailed breakdown for your stack →

Savings estimates are based on aggregated findings across comparable spend profiles — a typical range, not a guarantee.

Estimated go-live is indicative, based on the departments and tools connected; your forward-deployed integrators confirm the actual schedule.

FAQ

Questions, answered

The things finance, ops and security teams ask us most — before they say yes.

What makes KNTRL different?

Most tools report what you spent. KNTRL starts with your value context — how your people, processes and tech create value — and triangulates it with your AI spend, adoption and the goal each team owns. Reasoning models turn that into the next move, optimized for growth first, efficiency second. It’s an optimization engine, not a report. See how →

Isn’t this just another dashboard I won’t use — or can’t action?

That’s exactly what we built against. Instead of charts you have to decode, KNTRL is proactive — it surfaces the specific moves to make and why, scored against your value context. And you steer it in plain English, so acting on it doesn’t take a data analyst. The dashboard’s there when you want it; the recommendations come to you.

What does KNTRL actually track?

Every dollar, seat and usage signal across your AI stack — assistants like OpenAI, Claude and Copilot, the clouds and APIs behind them, and the licenses you’re paying for. We reconcile it into one normalized view, then tie it to adoption and the business goals the spend is meant to move.

Do you read our prompts, files or conversations?

No. KNTRL reads usage and billing metadata only — spend, seats and activity — over read-only, least-privilege connections aligned to SOC 2 Type II controls. Your prompts and content never leave your tools, and every connection is revocable at any time.

How long until we’re live?

Days, not quarters. This isn’t throw-it-over-the-wall SaaS: KNTRL integrators forward-deploy with your team to connect, configure and go live — so you’re never left fighting an integration alone. See how it works →

How is pricing structured?

A percentage of the AI spend we help you manage — 6% down to 3% as spend grows — plus a one-time setup fee. Our fee scales with the value at stake, not a flat license, so our incentives stay aligned with yours. You can model your exact cost and return with the calculator above.

How is this different from our cloud-cost tool or a FinOps spreadsheet?

Cloud and FinOps tools track infrastructure cost. KNTRL is built for AI specifically — it connects spend to who’s actually using each tool, which licenses are wasted, and whether that spend is moving real business goals. That adoption-and-value layer is what a spreadsheet can’t keep current.

We already have SSO and procurement — why do we need this?

Because most AI spend never touches procurement. Teams sign up on personal cards and logins, outside policy — you usually meet the tool when the invoice lands. KNTRL surfaces that shadow spend and pulls it into one governed view.

Will it pay for itself?

In comparable spend profiles we typically find 15–25% of AI spend as recoverable value — idle licenses, duplicate tools and low-value usage. For most teams that’s a multiple of what KNTRL costs. The calculator shows your range; it’s a typical estimate, not a guarantee.

Who owns the data, and what if we leave?

You do. KNTRL processes your data only to run the service, you can export it at any time, and every connection is revocable — no lock-in. Cancel and the access goes with it.

Get started — free

Finally capture AI ROI with KNTRL

Two minutes to your first AI value insight. No card required.

Runaway spendWasted licensesLow adoptionUnclear ROITool sprawlSpend forecastingNot sure yet

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