AI Adoption, Accelerated.
The gap between great AI and real ROI isn't the tech, it's trust. AI-Q closes it.
One Platform. Both Sides of Adoption.
AI-Q gives vendors quantified trust intelligence to remove enterprise adoption blockers, and gives buyers the friction map they need to deploy fast and stand behind every decision.
Need Hands-On Guidance?
Accelerate AI's consulting practice helps regulated enterprises move from AI intent to production with strategy, governance, and team enablement that makes adoption stick.
Latest briefs
- Regulators Are Still Drafting AI Rules. Underwriters Already Enforced Theirs. — Enterprise AI governance has been treated as a regulatory problem for three years. The deadlines come from Brussels, from Sacramento, from Austin, and the internal debate is about which framework to map to and how much time remains before someone with subpoena power asks a question. That framing missed the institution that moved first. In January 2026, the Insurance Services Office put three standard endorsements into circulation that let carriers strip generative AI exposures out of commercial general liability policies (Claims Journal, July 2026). No hearing. No comment period. No phase-in. The organizations asking which AI regulation applies to them are asking the wrong question. The right question is whether they can produce evidence of AI controls before their next insurance renewal binds. Regulatory enforcement is contested, slow, and years away from a first judgment. A renewal date is none of those things. It arrives on schedule, and the underwriter on the other side of it has already decided what silence is worth.
- Every MCP Server Has an Owner. Most Organizations Cannot Name Them. — 12,000 API keys exposed through insecure MCP credential handling. 30 critical CVEs in early 2026. MCP connector ownership is not a configuration detail. It is the access control boundary between an AI agent and every enterprise system behind it.
- Accelerate AI Launches AI-Q Platform — We built AI-Q because the AI adoption problem in regulated industries is not a capability problem. It is a trust problem. AI-Q quantifies that trust and clears it, for both sides of the table. The platform is live, come see it for yourself and stay current on what is coming next.
- July in Review: What We Were Watching, Writing, and Building — From semiconductor supply chains to hospital equity gaps, July's briefs covered one consistent theme: AI is moving faster than the accountability structures built around it.
- Understanding Hallucinations in AI Models — AI hallucination rates have improved significantly. On legal queries they still reach 88%. On medical summaries they hit 64%. However, improvement is not the same as safe. Here is what the verification gap actually requires.