An AI Adoption KPI Solution Built to Deliver Measurable Value
TargetBoard unifies AI usage, workflow activity, collaboration data, and productivity signals to give leaders the clarity to understand adoption, assess impact, and scale AI initiatives with confidence.
Turn Raw AI Data Into Business-Aligned KPIs
TargetBoard centralizes AI usage data, productivity metrics, quality signals, and cost information to help organizations track core AI KPIs such as adoption rate, efficiency gains, output quality, and ROI. By unifying AI metrics in one platform, leaders gain real-time visibility into impact and readiness across the organization.
Integrates With AI and Productivity Stack
TargetBoard connects with AI assistants, collaboration tools, workflow platforms, engineering systems, and operational data sources to ensure unified, accurate, and audit-ready AI KPIs across teams and workflows.

‘TargetBoard has been a game - changer for me. They provide a great centralized hub for tracking and analyzing my R&D KPIs throughout our SW development lifecycle.”

Nadav Avikasis, CTO
Why Customer Success Leaders Choose TargetBoard
Out-of-the-Box KPI Catalogs
Predefined AI adoption and impact frameworks ready to deploy and customize.
Built for Instant Adoption
From setup to insights in days, with no heavy implementation effort or disruption.
Real-Time Dashboards
Clear visibility into AI usage, performance impact, and trends across systems.
Cross-Functional Alignment
Connects Product, Engineering, Operations, HR, and Leadership around shared AI KPIs.
Governance You Can Trust
Version-controlled KPI logic with clear definitions and audit-ready transparency.
Mastering AI Adoption KPIs
TargetBoard improves AI adoption performance by centralizing AI usage, productivity, quality, and cost data into one source of truth. Accurately track adoption, value delivered, tool efficiency, and organizational readiness to scale AI with confidence.
Browse MetricsMastering KPIs & Metrics
Explore How Other Teams Use TargetBoard AI
Common Questions About AI Adoption KPIs
What are the most important AI Adoption KPIs to track?
The most important AI Adoption KPIs measure usage, productivity impact, output quality, cost efficiency, and organizational readiness. These KPIs help leaders understand where AI is being used, how it affects performance, and whether it delivers measurable business value.
How does TargetBoard improve AI adoption and impact measurement?
TargetBoard improves AI adoption measurement by centralizing AI usage, workflow activity, productivity signals, and cost data into one source of truth. This allows organizations to move beyond anecdotal insights and track AI adoption and impact consistently across teams and use cases.
Which AI tools and platforms does TargetBoard integrate with?
TargetBoard integrates with AI assistants such as OpenAI, Anthropic, Gemini, and Copilot, as well as collaboration tools, workflow platforms, engineering systems, and operational data sources. This ensures AI KPIs remain accurate and aligned across the full AI and productivity stack.
What if our AI tools and systems aren’t listed?
TargetBoard is designed to integrate with a wide range of AI, productivity, and operational systems. If a specific tool is not listed, TargetBoard can typically connect through APIs or data exports to ensure AI adoption KPIs remain complete and consistent.
Can we customize our AI Adoption KPI framework?
Yes. TargetBoard provides out-of-the-box AI Adoption KPI frameworks that can be customized to reflect your organization’s tools, workflows, and maturity level. Teams can adjust definitions, thresholds, and groupings while maintaining governance and consistency.
How does TargetBoard ensure consistent AI Adoption KPIs?
TargetBoard standardizes KPI definitions, applies version-controlled logic, and maintains traceability back to source systems. This ensures AI Adoption KPIs are accurate, auditable, and trusted across teams, leadership, and governance stakeholders.



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