AI真相幻觉：企业级AI错误与数据可信度研究

Foreword Artificial intelligence now dominates every boardroom. Everyone’s racingto deploy it but almost no one is asking the only question that matters: Can you trust the data? In the enterprise, accuracy isn’t optional. It’s the difference between clarityand chaos. When AI guesses, companies get: bad insights, bad decisions,compliance exposure, and a dangerous illusion of confidence. With autonomous agents, the stakes spike even higher. One bad data pointbecomes ten. Ten become a hundred. Risk compounds. Operations break. Terzo was built for this moment. Our belief is simple: AI must be grounded in truth. Not hype. Truth. That’s why NirvanAI, Terzo’s latest product release, is different. It’s not achatbot sitting on top of messy PDFs—it’s a full-stack enterprise AI platformpowered by a 99%-accurate data foundation with humans in the loop. Clean contract, spend, and revenue data. Trusted answers. Real outcomes.If you want GenAI that actually moves the needle, you start with the data layer.Data-layer intelligence + autonomous agents is the new operating system — Brandon CardCEO, Terzo Table of Contents The Age of AI Illusion AI has cast a spell over thebusiness world—capturingimagination, budgets, andheadlines. But the results tella different story. Nearly everycompany is experimenting of companiesuse AI in at least The issue isn’t ambition—it’smisplaced trust. Whatappears intelligent oftenhides inaccuracy, bias, and Leaders now face a choice:stay dazzled by the illusion,or look behind the curtain Because with AI,confidencewithout accuracy is a riskin disguise. 39%report acompany-wide Revealing theBiggest AI RisksUnder the Spotlight: Even the best illusions have their glitches. Just overhalf of companies have already seen AI backfire,and the most common risk, by far, is inaccuracy. Leaders are taking this risk seriously. Today,54% of organizations are now workingto mitigate AI’s inaccuracies, recognizingthat every wrong output erodes trust, of CompaniesNegatively Impacted Every model makes mistakes,but some create errors much Hallucination Rates of AI ModelsCracks in the Act: When asked to identify and citenews sources from an excerpt,many of today’s AI modelsconfidently delivered wrong AI hallucinates because standardtraining systems reward guessingover showing uncertainty. Thinkabout it this way: if you guess on How Little AIIs Verified forBehind the Scenes: After seeing how often AI modelshallucinate, the next question ishow often businesses actually catchthose errors. According to McKinsey,oversight varies dramatically. Closeto half of organizations review 40% That means many companies arestill relying on AI responses thatmay be confident, polished—andcompletely wrong. It’s a risky gap ingovernance, and one that’s alreadycreated costly consequences for Moderate Oversight21% 3 Examples ofAI HallucinationThe Confidence Trick: Across industries, companiesare making headlines for falling They’re paying the price inmany ways: •Reputational damage•Financial losses What ReallyBuilds Trustin AIThe Reveal: The unpredictable, error-pronenature of many AI systemsmake it hard for teams to relyon their output. But trust iscritical to long-term use and, Number of Times Citedas a Driver of AI Trust A review of more than 500studies on human trust in AIpoints to a clear path. Thestrongest driver of trust iscapability: an AI system’s abilityto effectively perform tasks. To move past illusion andtoward dependable results,leaders need to invest in AI Built onReal Data, Not Assumptions accurate data withhumans in the loop NirvanAI is an AI system groundedin your company’s contract data.It makes every answer traceable, Get instant intelligent answers through 3 key features: Automation Assistants Agents Prebuilt agents for spend,compliance, and revenueinsights, or build a custom agent Automate renewals, approvals,amendments, and supplierchecks while seamlessly Copilots that summarize contracts,obligations, and risks in seconds. FinanceProcurement Ask anythingto a specific Get Real Financial Resultswith NirvanAI NirvanAI pays for itself in the first 90 days,with companies seeing cost savings of 10% ormore of annual supplier spend. Here are just a Save money:Find rebates and creditshidden in contracts Reduce risk: Speed up compliance andreporting from 12 weeks → Save time: 50× faster contract review →eliminate manual review AI’s illusion of truth ends here. Make every decision based on data you can trust. Book a Demo powered by Terzo 99% accurate. Fully traceable answers. Built for enterprise leaders. An editorial partnership with