DepthData

Depthdata: The Unified AI Spend Intelligence and Adoption Platform

In the modern corporate landscape, companies are investing six figures or more annually into diverse AI ecosystems. However, with ChatGPT, Claude, Microsoft Copilot, and Gemini each operating within their own fragmented admin panels, leadership teams often struggle to answer a critical question: Is the investment actually working? Depthdata provides the definitive answer by offering one connected, audit-ready view of AI adoption, spend, and cost per outcome across every AI tool your company utilizes.

What's Depthdata?

Depthdata is the system of record for your company's AI investment. It is a sophisticated AI spend intelligence platform designed to connect your various admin consoles into a single source of truth. Trusted by finance, IT, and executive leadership, Depthdata unifies metrics and definitions of "usage" to provide evidence of value that the CEO, CFO, and Board can all agree on.

Unlike traditional monitoring tools, Depthdata is built on a foundation of privacy and transparency. It utilizes read-only admin APIs, requires no agents on employee laptops, and ensures that prompts are never read. By normalizing data across disparate tools like ChatGPT Enterprise, Claude, Copilot, and Cursor, Depthdata enables companies to justify spend and drive adoption that compounds over time.

Key Features of Depthdata

Depthdata is built around four primary surfaces that transform raw usage data into actionable insights for the entire organization.

1. Complete Visibility and Spend Intelligence

Depthdata offers a governed view of every AI tool, seat, and workspace. This replaces the need to manually aggregate data from multiple consoles.

• Spend You Can Justify: Access finance-grade data on cost per active user, waste from idle seats, and model mix distribution.
• Waste Leaderboard: Identify where paid capacity sits unused, such as enterprise tiers operating at free-tier intensity or dormant ChatGPT seats.
• Right-Sizing Engine: Automatically determine which seats can move down a tier without losing quality, helping to reclaim costs from idle licenses or duplicate coverage (e.g., users having both Cursor and GitHub Copilot).

2. Adoption and Coaching

Visibility is only the first step; Depthdata ensures your team is getting real value from their AI tools.

• Pattern Detection: The platform identifies what your strongest AI users do differently.
• Playbooks and Nudges: Based on usage patterns, Depthdata packages insights into playbooks and routes nudges to teams that are leaving value on the table.
• Tracked Enablement: Every nudge is tracked, ensuring that enablement efforts directly translate into measurable adoption growth.

3. Comprehensive Analytics

Depthdata provides trends you can defend during board meetings or financial audits.

• Department Slicing: Slice adoption, depth, and spend by department, tool, or seniority level.
• Confidence Labels: Every number carries a confidence label and open methodology, ensuring the data survives rigorous follow-up questions.
• Growth Metrics: Track active users and token usage trends. Depthdata helps you see if depth is compounding—meaning users are doing more over time—rather than just spreading thinly across headcount.

4. Leaderboards and Depth Scoring

Instead of counting raw messages, Depthdata rewards true AI proficiency.

• Depth Scoring: Users are scored based on chained workflows, tool breadth, and retry patterns.
• Healthy Competition: Team-vs-team leaderboards encourage employees to actually get better at using AI to drive productivity.

Use Case: AI Governance and Risk Management

Beyond financial optimization, Depthdata acts as a critical tool for IT governance through its AI Risk Register. This feature provides executive visibility into operational risks, including:

• Shadow AI Usage: Estimates the percentage of activity occurring on personal accounts, which is otherwise invisible to corporate governance.
• Unused Licenses: Identifies access-hygiene gaps where seats have been idle for 30+ days.
• Prompt Quality Variance: Detects high retry rates in departments like Sales or Support, signaling inconsistent and costly prompting habits.
• Workflow Duplication: Highlights where teams are rebuilding similar prompts, suggesting the need for a shared template library to cut waste.

How to Use Depthdata

Depthdata is designed for zero-friction deployment. It moves your organization from five disjointed dashboards to one source of truth through a simple four-step process:

1. Connect Your Consoles: Use OAuth to connect to ChatGPT Enterprise, Claude, Copilot, Gemini, Cursor, Perplexity, and more. Depthdata uses read-only API scopes, meaning there is nothing for employees to install and no changes to their workflow.
2. Establish One Governed Model: The platform normalizes usage, tokens, and credits from every admin console into a single schema.
3. Set Your Baselines: Depthdata measures lift against your own first four weeks of data per department, rather than relying on generic industry benchmarks.
4. Route the Insights: Once the data is unified, insights are routed to leadership through the four surfaces mentioned above, and reports can be exported directly into board decks.

Integration Transparency

Depthdata connects to the tools you already run via official admin APIs. Supported connectors include:

• LLM Suites: ChatGPT Enterprise, Claude, Gemini, Mistral, DeepSeek.
• Productivity & Engineering: Microsoft Copilot, Cursor, Vercel + AI Gateway.
• Workspace & Research: Notion AI, Slack AI, Perplexity, Replit.

FAQ

Do you read employee conversations? No. Depthdata ingests metadata only, including seats, sessions, usage events, and spend. If a vendor's feed includes conversation content, it is discarded at the point of ingestion. Your employees' private conversations are never stored or analyzed.

What does deployment involve? Deployment involves simple read-only connections to your existing admin consoles. There are no agents to install, no browser extensions, and no scraping. Note that most vendor admin APIs require an enterprise or business tier for full coverage.

Which tools do you connect to? Depthdata connects to ChatGPT Enterprise, Claude Enterprise, GitHub Copilot, Gemini (Workspace), Vercel + AI Gateway, Notion AI, Replit, and Lovable through official APIs. As vendors release new APIs, Depthdata updates its connectors to pull the most relevant data.

How do you show return without a generic ROI number? We measure lift against your own historical baseline. We report cost per active user and cost per outcome as measured ratios. Where values cannot be pulled directly, we use models with confidence bands to ensure the data remains defensible and transparent for finance teams.

What is the Workspace Health Score? It is a single score derived from published weightings of adoption, depth, and efficiency. The math behind this score is open and available in our documentation, ensuring that your leadership team can audit the methodology at any time.