100% of AI agents can vote YES while only 74% truly align. AILKEMY measures the gap where bad decisions hide — so your enterprise choices survive scrutiny.
Where consensus breaks down under scrutiny
Most teams already use AI to summarize, recommend, and draft. The danger is what happens next. Leaders act on output that sounds confident, committees assume alignment, and objections show up late—or never. That's how consensus becomes rework, reputational damage, compliance exposure, and costly reversals.
Instead of relying on one model response or a rushed meeting summary, AILKEMY runs structured multi-perspective deliberation, surfaces blind spots and objections early, and produces a decision-grade record your teams can stand behind.
When alignment is real, you get a certified synthesis and a clear audit trail. When it's not, the system flags the variance and forces clarity before the decision moves forward.
Structured analysis that surfaces blind spots and objections before they become costly surprises
Decision-grade records with clear audit trails your teams and governance can stand behind
When alignment isn't real, the system flags disagreement and forces clarity before decisions move forward
AILKEMY integrates into your existing AI workflow to prove when meaning has truly converged
Submit executive briefs, vendor evaluations, risk assessments, or any AI-generated output that needs verification before action.
AILKEMY runs structured analysis across multiple perspectives, surfacing blind spots, objections, and hidden assumptions that single-model outputs miss.
Receive a decision-grade record: certified synthesis when alignment is real, or flagged variance with clear action items when it's not.
AILKEMY adds decision confidence across high-stakes enterprise workflows
"Is this brief ready for the board?"
Strengthen executive briefs and steering committee decisions with verified alignment. Surface objections before they derail meetings or require expensive follow-ups.
"Do we have real consensus on this vendor?"
Reduce late-stage objections in procurement and risk reviews. When stakeholders claim alignment, AILKEMY proves it—or surfaces the hidden disagreements early.
"Is this output reliable enough to ship?"
Improve reliability in AI-enabled product releases and customer-facing outputs. Catch the gaps between "sounds right" and "is right" before customers do.
"Can we defend this decision?"
Create defensible documentation for governance, security, and compliance. Every verified decision includes a clear audit trail that stands up to scrutiny.
Certified synthesis before your thesis hardens into conviction
You know the moment. A memo is "done." The desk nods. The meeting ends. The story feels clean. Then a single question lands, and you realize two people were holding two different meanings the entire time.
That is not a communication problem. That is a decision risk problem.
GenAI didn't just speed up research synthesis. It sped up certainty. Your analysts can produce a compelling narrative in minutes. Your PM can skim it in seconds. Your committee can approve it in a single sitting.
And that is precisely why the wrong assumptions slip through. Not because anyone is careless—because the story looks finished before the alignment is real.
In one 42-agent test, 100% voted yes while semantic alignment was only 74.48%. That gap is where a fragile thesis becomes an institutional belief.
The cost isn't just a wrong answer. The cost is a wrong answer that feels like it's been agreed upon. That's what makes reversals political. That's what kills adoption when AI outputs wobble.
A decision-grade artifact you can actually stand behind:
You don't need this on everything. You need it where being wrong is expensive and where false consensus creates hidden risk:
Send one scenario you wish had gone better—a memo that created late objections, a thesis that drifted, a decision that felt aligned until it wasn't.
Request the Full Whitepaper & Private DemoAILKEMY serves the people accountable when AI-informed decisions go wrong—and gives them the verification layer to prevent it.
You're the person the organization points to when something goes wrong. Not because you caused it—because you can't dodge the accountability.
"I can't defend this decision if I can't show how we got there."
Bring one decision question. Leave with an audit record example.
You're responsible for AI credibility inside the enterprise. When pilots fail, leadership doesn't blame "the model." They blame the team.
"If one hallucinates and we act on it, that's on me."
Watch a decision get verified in under 3 minutes.
You don't just need the tool to work. You need it to protect your reputation, reduce liability, and become a differentiator you can sell.
"Was this AI-generated?" You need a confident answer.
Get a certified output you can show internally.
"We almost greenlit a $40M investment based on what looked like unanimous agreement. AILKEMY's alignment score was 69%—when we dug deeper, we found critical assumptions that didn't converge. The variance detection saved us from a strategic mistake."
"The difference between 'everyone agreed' and 'meaning actually converged' is everything. AILKEMY makes disagreement visible, actionable, and resolved. Now our board trusts our AI-driven recommendations because we show them the verification data."
AILKEMY doesn't promise perfect answers. We build better decisions by proving when meaning has truly converged—and by making disagreement visible, actionable, and resolved. Request a private demo and we'll validate value in a single workflow within weeks.
Your teams already use AI to summarize, recommend, and draft. The hidden risk? Leaders act on output that sounds confident, committees assume alignment, and objections surface too late. AILKEMY adds the verification layer that proves when meaning has truly converged.
Where "everyone agreed" becomes costly reversal