You ran the assessment. You have a score. Now what. For most organizations, the honest answer is nothing, and that is exactly why AI investment stalls. The AI assessment next steps are where readiness either turns into results or dies in a slide deck. Getting a number is easy. Acting on it is the part […]
AI Assessment Next Steps: From Score to Gap Analysis to Roadmap Read More »
Search for the best AI readiness assessment 2026 and you land on a page of listicles that mostly cite each other. The tools they rank split into two camps. Free quizzes that take three minutes and hand you a generic score. And consulting engagements that take three months and cost more than a mid-market AI
The Best AI Readiness Assessment 2026: Tools, Pricing, and the Vendor-Neutral Test Read More »
Most companies measure AI agent readiness by asking whether the technology works in a demo. The 74 percent rollback number says that is the wrong test. An AI agent readiness assessment that only checks whether the model responds well in a controlled setting tells you almost nothing about whether the agent survives contact with production.
The 74 Percent Rollback Number Is the Real AI Agent Readiness Assessment Read More »
Most companies buy a workforce intelligence platform the way they buy a CRM. They sit through three demos, line up the feature grids, and pick the tool with the cleanest dashboard. Six months later the platform sits half-used, because it was never matched to a real gap. The data was clean. The fit was wrong.
How to Choose a Workforce Intelligence Platform That Fits Your Readiness Gaps Read More »
Most companies get the agentic AI conversation backwards. They pick the agent first. The platform second. The use case third. Agentic AI readiness comes last, if it shows up at all. That is the pattern Gartner just put a number on. Over 40 percent of agentic AI projects will be canceled by the end of
Agentic AI Readiness Is the Reason Gartner Says 40 Percent of Projects Will Be Canceled Read More »
I had a conversation last week with a CFO at a $400 million manufacturer in Ohio. She had just read about the Anthropic and KPMG deal. Her question was direct. “If KPMG is rolling Claude out to 276,000 staff and PwC is training 30,000 people on the same models, what does that leave for me?”
Mid-Market AI Readiness Assessment: Why the Big Four AI Wave Has a Mid-Market Problem Read More »
Microsoft, Google, and ServiceNow all want you to believe agentic AI governance is a platform feature. It is not. It is a discipline that lives one layer above platform selection. The vendor selling you the agents cannot also be the neutral arbiter of how those agents behave, what they access, or whose data they touch.
Agentic AI Governance Cannot Be Solved by the Platform Selling You the Agents Read More »
I have been telling clients for two years that the gap between AI investment and AI deployment is the actual business problem. Last week, OpenAI bet four billion dollars on the same thesis. That is not a coincidence. That is the largest enterprise AI company in the world arriving at the same conclusion the AI
AI Readiness Assessment Gap: Why OpenAI Just Spent $4 Billion to Fix It Read More »
Most enterprises are still asking the wrong question. They sit down to debate build vs buy AI as if the answer determines their strategy. It does not. By the time the framework hits the whiteboard, the company has already collected six pilots, three vendor contracts, two off-the-shelf agents, and a custom-built copilot from the data
Build vs Buy vs Orchestrate: The New AI Decision Framework Read More »
A new report has the data community talking. The Fivetran 2026 Agentic AI Readiness Index says 60 percent of enterprises are investing millions in agentic AI, but only 15 percent have the data foundation to run it. That gap is real. But framing it as a data readiness problem misses the deeper issue. Agentic AI
Agentic AI Readiness Is Not Data Readiness: What the 2026 Fivetran Index Misses Read More »