Product feature
Hallucination Detection
Catch wrong or made-up AI answers.
Catch what your AI gets wrong before your customers do
Every ungrounded claim an AI system generates is a support ticket, a churn risk or a compliance exposure waiting to happen. AI & Partners scores every response for faithfulness to its source in real time, highlights the exact claim that is wrong, and keeps the evidence. Your team finds out first, not your customers.
Response check
Thanks for asking. An MRI of the knee never requires prior authorization, so you can book directly.
Source: Prior authorization is required for all MRI imaging of the knee.
Demo environment · illustrative figures
Struggling to trust what your AI is telling people?
As LLMs and agents take on more customer-facing and internal work, ungrounded or contradictory answers become a direct cost in refunds, escalations and lost confidence in the system. An assistant that tells a patient an MRI "never requires prior authorisation" when the policy says it does is not a technical glitch. It is a liability. Without automatic checks, the only way to catch it is for someone to notice after it has already caused a problem.
No way to know an answer was wrong until a customer complains
Manual spot-checks can't keep up with production volume
Every unverified response is a quiet hit to revenue and trust
Features
Real-time quality control, built into every response
Every response is scored for how well its retrieved context actually supports it, not just whether it sounds confident. Each score records its method, evaluator model, confidence level and prompt version, so it can be reproduced.
For your team
What this means for you
- Catch wrong answers before customers see them
- Trace every flagged claim to the exact source it contradicts
- Focus reviewers on the few answers that matter
- Reduce escalations, refunds and lost customers
- Build an evaluation trail that proves answer quality over time
How it works
Four steps, running continuously
- 1
Step 1
Capture the prompt, response and context
- 2
Step 2
Score faithfulness
- 3
Step 3
Highlight the offending claim
- 4
Step 4
Send it for review and log it
Let's Get Started
See hallucination detection running against your own use case.
Book a DemoHallucination Detection in Action
Where ungrounded answers cost the most.
Customer Support Copilots
Stop wrong answers reaching customers and turning into tickets.
Financial Guidance Assistants
Keep every figure and claim tied to an approved source.
Internal Knowledge Search
Make sure staff get answers that match the actual policy.
Healthcare Information Bots
Catch contradictions with clinical or coverage policy before patients see them.
Frequently asked questions
Let's Get Started
See hallucination detection running against your own use case.
Book a Demo