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Depthdata
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About Depthdata
Depthdata provides a unified, governed view of AI adoption, spend, and cost per outcome across every AI tool a company uses. It connects to existing AI admin consoles via read-only APIs, normalizing usage, seats, and spend into a single data model without requiring agents to be installed or workflows to be altered. The platform consolidates data from tools such as ChatGPT Enterprise, Claude, Copilot, and Gemini into one audit-ready source of truth trusted by finance, IT, and executive teams. Designed for finance, IT, and leadership, Depthdata enables organizations to track AI adoption, justify spend, and guide teams toward higher-value usage patterns. It surfaces four leadership-focused surfaces: an overview dashboard with a workspace health score, a coaching module that identifies and routes improvement opportunities, an analytics section with defensible trends and confidence labels, and a leaderboard that rewards depth of use rather than message volume. The platform provides complete visibility into every AI tool, seat, and workspace, helping companies answer critical questions about AI value and efficiency.
Key features
- Read-only admin API integrations with ChatGPT Enterprise, Claude, Copilot, Gemini, Cursor
- Workspace health scoring with KPI deltas and 12-week trends
- Automated nudges and playbooks for underutilized teams
- Department-level slicing with confidence-labeled metrics
- Exportable board-ready reports with methodology
- Depth scoring for teams and individuals based on workflow complexity
- Active user and token usage trend analysis
- Spend optimization alerts and cost-per-user calculations
Use cases
- Tracking AI adoption and spend across multiple tools for executive reporting
- Identifying underutilized AI seats and coaching teams to increase value
- Generating finance-grade cost analysis and ROI justification for AI investments
Pros
- Read-only API connections to major AI platforms without agent installation
- Governed, normalized data model for consistent cross-tool metrics
- Four leadership-focused surfaces: overview, coaching, analytics, leaderboard
- Finance-grade spend tracking with cost per active user calculations
- Audit-ready exports with methodology and confidence labels
Cons
- No free tier or self-service signup mentioned
- Limited to read-only access; no direct prompt analysis
- Requires existing AI admin console access for each connected tool
Frequently asked questions about Depthdata
What does Depthdata do?
Depthdata provides a unified, governed view of AI adoption, spend and cost per outcome across every AI tool a company uses by connecting to existing AI admin consoles via read-only APIs.
Who is Depthdata designed for?
The platform is designed for finance, IT and executive teams who need audit-ready evidence of AI value to track adoption, justify spend and guide teams toward higher-value usage patterns.
How does Depthdata integrate with existing tools?
Depthdata connects to AI tools such as ChatGPT Enterprise, Claude, Copilot, and Gemini using read-only admin APIs, requiring no agents to install or workflow changes.
What kind of data does Depthdata normalize?
The platform normalizes usage, seats and spend into a single data model, providing finance-grade metrics like cost per active user, waste from idle seats, and model mix.
Can Depthdata help identify underutilized AI tools?
Yes, Depthdata surfaces adoption insights, identifies improvement opportunities, and routes coaching to teams that need it, helping maximize AI tool value.
Is Depthdata suitable for board-level reporting?
Yes, it offers a health score, defensible trends, and exportable reports that provide clear, audit-ready evidence of AI value for executive and board presentations.
