Solutions
DataKeys builds AI and data solutions around the places where work slows down, decisions lack visibility, and teams depend on manual effort.
A focused assessment that identifies your organization's highest-value AI opportunities, data readiness gaps, governance risks, and automation potential.
A complete AI operating model that gives organizations the structure needed to identify, prioritize, govern, deliver, and measure AI initiatives.
A governed semantic and knowledge layer that helps AI agents understand business context, approved definitions, trusted sources, and access boundaries.
Employees are already using AI tools across the business. Most companies do not know which tools are being used, what data is being entered, or what risks exist. DataKeys helps you identify, assess, and control shadow AI risk.
Not every workflow needs an AI agent. Some need automation. Some need a copilot. Some should not be automated at all. DataKeys helps you identify where agentic AI is truly valuable, feasible, and safe.
A data quality and observability layer that monitors critical data, tracks issues, assigns ownership, and improves trust in reporting, analytics, and AI.
A value management framework that tracks whether AI initiatives are producing real business outcomes.
Dashboards show what happened. Decision intelligence helps leaders understand what changed, why it changed, what is at risk, and what action should happen next.
Prompt training is not enough. Employees need role-based AI enablement tied to the actual work they do. DataKeys drives adoption through practical training, department playbooks, AI champions, and usage metrics.
AI spend can become difficult to control as organizations use copilots, APIs, models, agents, vector databases, and embedded AI tools. DataKeys helps leaders understand and manage AI cost.
The AI Readiness X-Ray identifies which of these solutions will create the most value for your organization — before you commit to any of them.