Kroolo whitepapers: research for the AI-first enterprise.
Practical guides on consolidating your stack, governing AI agents and the AI topics trending now.
Responsible AI Framework: Building Trustworthy Agentic AI
How Kroolo governs agents that plan, decide and act: nine principles, a five-tier autonomy model, lifecycle controls and the commitments every customer can rely on.
- Why autonomy raises the stakes beyond generative AI
- How to grade an agent on autonomy of action, not only output
- How the controls map to NIST AI RMF, ISO/IEC 42001 and the EU AI Act
All whitepapers
Responsible AI Framework: Building Trustworthy Agentic AI
How Kroolo governs agents that plan, decide and act: nine principles, a five-tier autonomy model, lifecycle controls and the commitments every customer can rely on.
The Tool Sprawl Tax: What Ten Tools Really Cost
Teams that run ten or more tools often spend roughly $80 to $100 per user a month across the stack. This paper shows how to count the full cost and what consolidation changes.
Agentic AI: From Pilots to Production
Agent adoption is rising fast, yet Gartner expects over 40% of agentic projects to be cancelled by the end of 2027. This paper separates the signal from the hype.
The EU AI Act After the Omnibus: What Changed and What Still Applies
The AI Omnibus delayed high-risk obligations to December 2027 and August 2028, but transparency duties apply from Aug 2.
MCP and A2A: The Open Standards Connecting AI Agents
MCP now has 10,000+ public servers and sits under the Linux Foundation. What that means for integration strategy.
Securing AI Agents: Prompt Injection and the Lethal Trifecta
Prompt injection maps to six of the ten OWASP agentic risk categories. Two simple design rules reduce the damage.
Right-Sizing Models: The Economics of Model Routing
Research shows routing can cut cost 35% to 85% on some benchmarks. Real workloads need evaluation first.
Why AI Value Is Stuck: The Workflow Redesign Gap
Nearly 90% use AI, 37% report any EBIT impact, and about 6% are high performers. McKinsey’s data points to workflow redesign.
Context Engineering: Why Enterprise AI Needs Better Retrieval, Not Just Better Models
Models are strong and getting stronger. The difference in the enterprise is what they are shown and who is allowed to see it.
The Jagged Frontier: What the 2026 AI Index Says About Capability and Risk
Frontier models match humans on PhD-level science questions yet can fail to read an analog clock. Incidents rose to 362 in 2025.
Want research for your team?
Book a demo and our solutions team will share the papers that fit your use case.