CNBC
Vol. CXXIV ... No. 42000Jun 2024

McDonald's ended its AI drive-thru test after accuracy issues.

Canadian Press
Vol. CXXIV ... No. 42030Feb 2024

Air Canada faced liability after chatbot misinformation.

ITV News
Vol. CXXIV ... No. 42028Jan 2024

DPD disabled a chatbot after a public swearing incident.

Associated Press
Vol. CXXIV ... No. 42033Dec 2023

A Chevrolet dealer chatbot was prompted into offering a Tahoe for $1.

NZ Herald
Vol. CXXIV ... No. 42064Aug 2023

Pak'nSave's AI meal tool generated dangerous recipe suggestions.

CNBC
Vol. CXXIV ... No. 42006Jul 2024

Voice-ordering AI still has years of flaws to iron out.

The Verge
Vol. CXXIV ... No. 420162023

Samsung restricted generative AI tools after internal code-leak concerns.

Bloomberg
Vol. CXXIV ... No. 420232023

Apple limited employee use of external AI assistants over data risk.

Reuters
Vol. CXXIV ... No. 420022023

JPMorgan restricted ChatGPT for staff amid compliance concerns.

Reuters
Vol. CXXIV ... No. 420972023

Citigroup limited generative AI use while risk controls were reviewed.

Reuters
Vol. CXXIV ... No. 420602023

Goldman Sachs tightened employee rules around public AI tools.

The Verge
Vol. CXXIV ... No. 420642023

Verizon blocked ChatGPT on some corporate systems over data exposure risk.

Legal Filing
Vol. CXXIV ... No. 420592023

UnitedHealth faced a class-action alleging AI-driven care denials.

Restaurant Tech
Vol. CXXIV ... No. 420642024

A Taco Bell voice AI demo surfaced after an order ballooned to 18000 waters.

KPMG
Vol. CXXIV ... No. 420342024

57% worry there will be no human fallback when AI fails.

PwC
Vol. CXXIV ... No. 420062024

Executives cite brand risk as a top blocker for customer-facing AI.

Accenture
Vol. CXXIV ... No. 420162024

Leaders report trust and safety as the hardest part of scaling AI.

Forrester
Vol. CXXIV ... No. 420302024

Firms are slowing rollout speed to improve governance and QA.

MIT Sloan
Vol. CXXIV ... No. 420832024

Teams overestimate AI reliability in multi-turn customer conversations.

Harvard Business Review
Vol. CXXIV ... No. 420482024

Automation failures damage trust faster than they reduce support cost.

Salesforce
Vol. CXXIV ... No. 420272024

60% say AI makes trust even more important.

Gartner
Vol. CXXIV ... No. 420722025

Customer-facing AI programs increasingly require formal risk sign-off.

McKinsey
Vol. CXXIV ... No. 420282025

Companies leading in AI adoption invest heavily in evaluation discipline.

IDC
Vol. CXXIV ... No. 420312025

Enterprises prioritize governance tooling before expanding AI to production.

Can you trust AI agents yet.

Without an evaluation system, every deployment is a gamble.

Enterprise Evaluation Infrastructure

If the agent fails,
the brand pays.

Don't let your pilot become a PR disaster. Assay certifies only the agents that meet your standard.

Risk Trajectory

Context Depth vs. Brand Risk

100%75%50%25%0%
Turn 1Turn 10Turn 20Turn 30+

Hallucination risk

↑ 94% by turn 30

Tone drift

↑ 78% by turn 30

Assay protected

↓ <8% drift maintained

Risk Reduction

99.8%

Scenarios Tested

10k+

Systemic Risk

AI inevitably hallucinates.

LLMs are probability engines — not truth engines. Without rigorous constraints, they synthesize plausible fictions with full confidence. The deeper the context, the higher the drift risk.

Confident Fabrication

Inventing policies or features that don't exist.

Contextual Drift

Losing the original constraint across multi-turn chats.

User Intent
Context RAG
Policy DB
FactualOutput
HallucinatedFiction
Brand Integrity Risk

AI doesn't have taste.

AI is trained on the average of the internet. Premium brands are never average. The gap between brand-native and brand-adjacent is invisible to a model — and catastrophic to your brand.

The Completeness Trap

Answering everything, even when restraint is brand-correct.

Register Collapse

Drifting to generic helpful when the brand demands controlled cool.

No Expiry Sense

Citing promotions, policies, or products that no longer exist.

Same prompt. Different brands. AI can't tell the difference.

AI without brand constraint

“Hi there! I'd be happy to help you find the perfect option. Our products offer a diverse range of features to suit your needs.”

generic registerfiller phrasingno brand signal
vs
AI with Assay brand constitution

“The Beta AR jacket was built for exactly that uncertainty — GORE‑TEX Pro, drop-hem cut for climbing posture. What's the trip?”

brand register heldproduct-specificcuriosity over closing
Escape Pilot Purgatory

Pilot done.
Now what?

Executives fear brand damage. PMs can't prove safety. Assay breaks the deadlock with quantitative evidence that clears your agent for production.

Manual testing takes days
Automated assay takes minutes

The Evaluation Workflow

01. Share your brand

Share your brand. Assay reads it and builds your brand standard automatically.

02. Assay writes the rulebook

We generate the criteria your AI will be judged on. You approve, not author.

03. Point us at your agent

One link. Assay handles the rest — no integration work, no dev time.

04. We do the testing

Assay runs hundreds of conversations against your agent while you do other things.

05. You review the verdict

Plain-English summary of what passed, what failed, and the exact quote that proved it.

06. Ship with a certificate

A dated sign-off your legal, marketing, and leadership teams can actually read.

Ready to deploy?

Stop gambling with brand equity. Evaluate your pilot agent today.

Zero data retention · SOC-2 Ready
AssayTrust infrastructure for enterprise brand AI agents