Why
Is your knowledge AI-ready? The amplification trap One source of truthPlatform
The knowledge foundation Governed & validated Security & compliance IntegrationsFor whom
Government & public sector Finance & insurance Healthcare Beyond the contact centerCustomers
Customer storiesCompany
About Polly Leadership Newsroom Careers Partners Contact Book a demoThe amplification trap
Point a model at knowledge that is scattered, outdated and contradictory, and it will produce wrong answers faster, more confidently and at a scale no human ever could. Every organization checks the assistant before it goes live. Almost nobody checks what it will be reading.
Faster answers, more channels, less waiting. Every vendor demo works, because every demo runs on knowledge somebody prepared that morning.
The intranet, the shared drive, the policy document from 2023 and a message in a team chat. Nobody owns them, nobody dated them, and the assistant cannot tell them apart.
The uncomfortable truth
Watch what happens to one ordinary question.
A member asks
“Is this treatment covered?”
“Yes, fully covered.”
“Up to 75%, after referral.”
“Only with prior approval.”
Three sources. Three answers. Each one looks official.
“Yes, fully covered.”
High confidence · no source showntimes a day, at the volume of a mid-sized service organization. One of those three answers is right. Nobody knows which one.
So the question is no longer which AI to buy. It is whether your knowledge is ready for one.
How it shows up
Nobody reports a knowledge problem. They report one of these four, and by then it has been running for months.
It told the customer something that is simply not true.
Head of customer service, after the second complaint that week
The assistant found an answer, and it found it in a document nobody had opened since 2023. It did not lie. It repeated. And it did so with the same confidence as everything else it says.
Confidently wrong
Ask three colleagues and you get three answers.
Team lead, explaining why handling times differ per person
Everyone is working hard and everyone is working from something else: the intranet, a personal note, a message a colleague pasted into the team chat last spring. The variation is not attitude. It is the source.
Inconsistent by default
Show me who approved this answer, and when.
Compliance, three days after the automated reply went out
Under the EU AI Act, NIS2 and the GDPR the question is no longer whether the answer was right, but whether you can show how it got there. An answer with no owner and no date is not evidence.
Nothing to show the regulator
The pilot was brilliant. It never made it to production.
Innovation lead, on the third assistant in two years
The demo ran on twenty answers somebody cleaned up by hand. Production runs on twelve thousand that nobody has. The project did not fail on the model. It failed on what was underneath it.
Stalled before go-live
All four have the same cause, and it is not the assistant. It is that nobody owns the answer.
Check your own knowledge
Louwman · one of the organizations running on Polly
Who this is actually for
She has ninety seconds. The customer wants to know whether the repair covers a replacement device. She finds three answers: one from the intranet, one a colleague pasted into the team chat last spring, and one the assistant just produced with complete confidence. Two of the three are wrong, and nothing on her screen says which two.
So she picks the one that sounds most official, and hopes. Everything on this page exists for that ninety seconds. Not for the audit, not for the dashboard. For her, on that call, with the customer waiting.
He is standing at a street cabinet with a procedure to follow and a work instruction that changed in June. He opens it on his phone, in the app he already uses for the job, and it comes from the same source the people on the phone work from. Same question, same validated answer, whichever end of the organization it is asked from.
Polly did not start in a category playbook. It started in contact-center projects across Europe in 2015, where the same thing kept happening: good people giving confident answers nobody had checked. We built the fix we kept wishing existed.
Meet the team
What it costs when nobody owns it
That is how long one wrong answer can live in a knowledge base nobody owns. Not because someone made a mistake, but because after publishing it, it stopped being anyone's job.
Reimbursement after referral
Fully reimbursed, no referral needed.
Every channel that asked this question today got this answer too.
The answer was not the problem. The silence around it was.
What it is worth
60%
lower contact center volume, right after go-live
“Polly.Help has translated into a 60% reduction in contact center volume, right after implementation.”
Already running on a foundation that was checked
Before you trust AI, trust your knowledge. See how Polly builds the foundation your people, your customers and your AI can rely on.