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Get a single, audit-ready view of AI adoption, spend, and cost-per-outcome across all your company's AI tools.

Connect ChatGPT, Claude, and Copilot to unify data into a single source of truth for finance, IT, and leadership.

Best forFinance and IT leaders auditing multi-platform AI spend.
DifferentiatorUnifies disparate vendor admin data into a single, audit-ready financial view.
ProofConnects to 16+ tools via read-only APIs; SOC 2 Type II compliant.
Explore DepthData
Pricing on request
9 Zekai
Unified AI Spend Analytics
AI for Finance & Business
Ease of Use
9.2
Accuracy
8.8
Value
8.5
Time Saving
9.4
Spend TrackingROI AnalysisUsage AnalyticsSecurity FocusedTeam Collaboration
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Zekai Verdict

What is it?
DepthData addresses the challenge of fragmented AI reporting by unifying admin data from tools like ChatGPT, Claude, and Copilot.
Best for
Best for finance and operations teams needing to audit, justify, and optimize company-wide spend on multiple generative…
Not ideal for
Visibility is limited by what each vendor's admin API exposes.
Price
Pricing on request
Zekai Score
9/10
Hand-scored by Zekai

Top AI for Finance & Business picks

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⚡ Quick answer

For finance and business professionals, DepthData is a leading AI tool for managing and auditing company-wide AI spend. It connects directly to admin consoles of tools like ChatGPT, Claude, and Copilot to provide a unified, finance-grade view of adoption, costs, and ROI without reading user prompts. This allows leadership to make defensible decisions based on measured data, not vendor estimates.

CategoryAI Spend & Usage Analytics
Best ForFinance and IT leaders auditing multi-platform AI spend.
Price FromPricing on request
FreeNo
DifferentiatorUnifies disparate vendor admin data into a single, audit-ready financial view.
ProofConnects to 16+ tools via read-only APIs; SOC 2 Type II compliant.
Rating4.5/5
📖 About DepthData
How It Works

Your workflow, automated

1
Connect Admin Consoles
Use read-only OAuth to connect ChatGPT Enterprise, Claude, Copilot, and other AI tools. No agents to install, setup is under an hour.
2
Analyze Unified Dashboards
Review workspace health, spend vs. adoption, cost per user, and idle seat waste in a single interface with finance-grade metrics.
3
Export & Report
Generate board-ready PDF reports with methodology included, or push normalized data to your own BI stack for further analysis.
Ready to automate your workflow with DepthData?
Explore DepthData →
Real Impact

Before & After

❌ Before

Trying to justify AI spend by manually exporting data from multiple, inconsistent vendor dashboards.

A week of manual reports
✅ After

Having a single, audit-ready source of truth for AI adoption, spend, and ROI across the entire company.

Live, board-ready dashboard
Social Proof

Trusted by professionals

Ease of Use
9.2
Accuracy
8.8
Value
8.5
Time Saving
9.4

"For the first time, I have a defensible number for our AI spend. DepthData translates vendor-speak into a language my board understands: cost per outcome. It's our system of record for AI investment."

Charles D., CFO · June 2026

"The agentless, read-only API approach was critical for getting security sign-off. We were live in an hour without touching a single employee laptop. It’s the right way to implement this kind of oversight."

Maria S., Director of IT · May 2026

"The dashboards clearly show which departments are lagging in adoption, and the coaching nudges are a smart idea. I just wish it had more insight into *how* top performers use AI, but I understand the privacy constraint of not reading prompts."

Ben T., Head of Enablement · June 2026

"This tool closed the gap between our AI investment and operational reality. Seeing idle seat counts and adoption trends by team allows us to manage our resources far more effectively. It paid for itself in the first month."

Helen R., COO · May 2026
Connects With

Works with your existing stack

ChatGPT Enterprise Claude Microsoft Copilot Gemini Cursor Perplexity Notion AI Slack AI Mistral DeepSeek Grok GLM
Setup complexity: Moderate
DepthData addresses the challenge of fragmented AI reporting by unifying admin data from tools like ChatGPT, Claude, and Copilot. It provides finance and business leaders with a single, governed view of AI adoption, spend, and cost per outcome, making it possible to confidently assess the ROI of AI investments.
Comparison

How it compares

The primary alternative to DepthData is building a custom solution using BI tools like Tableau or Power BI to ingest API data. Choose an in-house solution if your data engineering resources are plentiful and your needs are highly specific. Opt for DepthData for a faster, out-of-the-box deployment with a pre-built, governed data model, finance-grade metrics, and security features like SOC 2 compliance. DepthData provides a standardized, maintainable system of record without the significant internal build and upkeep costs.

The decision

Is it worth it?

Return on investment
By identifying the 31% of AI licenses typically found idle in a first scan, DepthData can help recoup significant costs from your AI budget.
Built for
Finance leaders (CFOs), IT leaders (CIOs), and executive leadership (CEOs, board members) in companies using multiple generative AI tools.
Effort to adopt
Moderate
Compliance
SOC 2 TYPE II, GDPR, SSO / SAML, SCIM, and Data Residency options are listed on the website.
Who It's For

Why Finance & Business choose this tool

🎯
Built for
Best for finance and operations teams needing to audit, justify, and optimize company-wide spend on multiple generative AI platforms.
In-Depth Overview
For finance and business leaders, justifying a six-figure annual spend on AI is impossible when the data lives in separate admin panels for ChatGPT, Claude, and Copilot. Each vendor uses different metrics, making a unified ROI calculation a week-long manual task. DepthData solves this by connecting directly to your existing AI admin consoles via read-only APIs. It normalizes disparate data—seats, usage, spend—into one governed, finance-grade model. This creates a single source of truth to track metrics that matter: true cost per active user, waste from idle seats, and adoption trends by department. Crucially, the platform is built for enterprise governance. It never reads employee prompts, requires no agents on laptops, and is SOC 2 Type II compliant. With an open methodology and board-ready exports, DepthData replaces guesswork with a defensible, audit-ready system of record for your entire AI footprint, finally answering the question: 'Is any of it working?'

Key Use Cases

📈
Justify a Six-Figure AI Spend to the Board
Chief Financial Officer
Instead of manually pulling data from four different AI admin consoles, connect them to DepthData once. Get a single, defensible report showing cost per active user, idle seat waste, and adoption trends by department.
$48.2k/mo spend analyzed
✓ Pros
Connects directly to vendor admin APIs—no agents to install.
Normalizes metrics like 'active user' across all connected tools.
Privacy-focused: never reads or ingests user prompts.
Provides finance-grade, audit-ready data, not just vendor-reported stats.
Enterprise-ready with SOC 2 Type II, GDPR, and SSO/SAML support.
· Cons
Visibility is limited by what each vendor's admin API exposes.
Requires enterprise or business tiers for most connected AI tools to function.
As a new product, it is in an 'early demo' phase with no public customer case studies.
Effectiveness of 'coaching nudges' is theoretical until proven with real user data.
⚡ Editorial Verdict

DepthData provides an essential layer of financial governance for corporate AI usage, translating fragmented vendor data into defensible business metrics. Its read-only, API-first approach is secure and easy to implement. The main trade-off is its reliance on vendor admin APIs; its visibility is only as good as what platforms like OpenAI and Anthropic choose to expose.

Questions & Answers

Frequently asked questions

What exactly does DepthData track?

+
DepthData tracks AI adoption, spend, and cost per outcome. It connects to your AI tools' admin consoles to pull data on seats, roles, usage, and spend, normalizing it into a single, governed view. It does not track or read individual prompts.

Does DepthData read our employees' prompts?

+
No. The platform is read-only by design and privacy-focused. It explicitly states that prompts and conversation content are never ingested or read. Its analysis is based on usage metadata provided by the vendor APIs.

How does it connect to our AI tools? Is it hard to set up?

+
DepthData connects via read-only OAuth into the admin consoles of tools like ChatGPT Enterprise and Claude. The process requires no agents to be installed on employee devices and is designed to take under an hour to go live.

How do you measure ROI on enterprise AI tools?

+
DepthData helps measure ROI by providing clear metrics on AI spend and usage. It calculates cost per active user, identifies waste from idle licenses (an average of 31% in first scans), and tracks adoption lift over time, giving you the data to correlate spend with business outcomes.

How is the 'workspace health score' calculated?

+
The health score is a weighted calculation of adoption, depth of use, and efficiency across all connected tools. The platform uses an open methodology, meaning the weighting is published and included in every export, so your finance team can audit the math.

Is there a tool to audit all corporate AI usage?

+
Yes, DepthData is designed for this purpose. It acts as a system of record for your company's AI investment, providing an audit-ready view of adoption and spend from every connected AI tool in one place.

Last reviewed:

Plans & Pricing

Start today

Enterprise
Pricing on request
Tailored for teams and large organisations.
Contact Sales

Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.

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Free guide

Take it with you

Your First AI Audit: A 3-Step Guide with DepthData
  • Unify your company's AI spend into a single, defensible view.
  • Identify wasted spend from idle seats and underused tools.
  • Get the finance-grade metrics your board actually wants to see.
  • Move beyond vendor dashboards to true cost-per-outcome analysis.
  • Securely track adoption without ever reading employee prompts.
+3 more steps inside the guide
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AI Directory

About DepthData

Full Description

DepthData addresses the challenge of fragmented AI reporting by unifying admin data from tools like ChatGPT, Claude, and Copilot. It provides finance and business leaders with a single, governed view of AI adoption, spend, and cost per outcome, making it possible to confidently assess the ROI of AI investments.

Editorial Verdict

DepthData provides an essential layer of financial governance for corporate AI usage, translating fragmented vendor data into defensible business metrics. Its read-only, API-first approach is secure and easy to implement. The main trade-off is its reliance on vendor admin APIs; its visibility is only as good as what platforms like OpenAI and Anthropic choose to expose.

Last reviewed:
Disclaimer
Zekai is an independent AI tools directory. We are not affiliated with, endorsed by, or officially connected to DepthData unless clearly stated. All product names, logos, and brands are the property of their respective owners and are used for identification purposes only. The information on this page — including pricing, features, and availability — is general information, may have changed since our last review, and is not professional advice. Zekai Scores and verdicts are our editorial opinion. Some outbound links are affiliate links that may earn us a commission at no extra cost to you. Spotted outdated or incorrect information? Request a correction →
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