Show up to finished work.
Your AI employees work while you sleep. Status reports are drafted, inboxes are sorted, and tasks are finished by morning. You review the outcomes and make the decisions.
Show up to finished work.
Your AI employees work while you sleep. Status reports are drafted, inboxes are sorted, and tasks are finished by morning. You review the outcomes and make the decisions.
Protect your competitive edge.
YP lowers your token spend by at least 60%, while Privacy mode keeps sensitive data hidden from every model.
A workforce, not a chatbot.
AI Employees that work together, delegate when it helps, and check in when it matters. Your team, amplified by 400%.
AI Employees with a role, not a prompt.
Each AI Employee gets a defined role, the skills it needs, and the permissions you set. It works on its own, asks when it's genuinely stuck, and hands back a draft you approve before anything goes live.
Skills you build once and share everywhere.
Build a skill once and reuse it across every AI Employee. Promote it company-wide with one admin approval, or keep it local to a single project.
Knowledge across your company, projects, and people.
Tell YP who your company is and how you work once, and every AI Employee inherits it. Company knowledge is admin-governed, project knowledge lives with the work, and each person's context stays private.
Projects that pick up where you left off.
Every workflow lives in its own project, with its own context, history and access controls. Your team and its AI Employees come back to exactly where they left off, nothing lost between sessions.
Connected to the tools you already run.
Plug into thousands of business apps through one secure OAuth layer, from Gmail to Slack, plus web search and more out of the box. Admins push a connector org-wide; owners see what each one costs.
Anonymization the model can't see through.
Use any frontier model you trust, or self-host open-source models and reinforcement-train them into experts on your business. Whichever model runs, the anonymization shield keeps it blind: every name and identifier is swapped for a placeholder before it ever reaches the model.
One choice that cuts your AI bill by 60%.
YP keeps an eye on every model's token spend and puts the right model on each job. Planning stays on a top-tier model while routine work runs lighter. Your AI bill drops by at least 60%. Prefer a specific model? Then exactly that model runs, every time.
See what an AI Employee actually gets done, inside the tools your team already runs.
How do you clear a GDPR request before the SLA runs out?
Verifies and compiles data subject access and deletion reports inside the GDPR SLA, then flags them for legal. It never deletes and never replies.
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How do AI Employees process invoices the moment they land?
Extracts every invoice, matches it against POs and prior invoices, flags duplicates and overcharges, and routes for approval. It records, it never pays.
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How do you catch compliance drift the day it appears?
Sweeps cloud infrastructure against policy daily, files each drift finding to Slack, and proposes remediation as a reviewed change. It detects and proposes; a named human applies the fix.
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How do you clear security questionnaires without stalling the deal?
Parses each inbound questionnaire, matches questions to approved answers, drafts in the vendor's format, and flags low confidence responses, leaving security to review before anything is sent.
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How do AI Employees test every pull request before a human reviews it?
Checks out every pull request, runs the suite, exercises the change through the edge on a test deploy, and posts the result. It stays off production, leaving the merge to a person.
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How do AI Employees flag the accounts about to churn each morning?
Reads product usage, support friction, and billing every day, scores each account on leading churn signals, and posts one ranked at risk list with a reason and a next step per account. It writes nothing back.
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Our free AI audit shows you where AI fits, what your security risks are, and gets your first AI employee working.
Why the most forward-thinking teams are choosing YP.
Review and approval, built in
Every consequential action pauses for a named human's approval. Work comes back as a draft you review before it goes live, and any step is reversible.
Dedicated in-house focus
Built specifically for enterprise and regulated teams, not a generic assistant bolted onto your stack. Connect your own self-hosted models and reinforcement-train them into experts on your business.
Enterprise-grade security architecture
Purpose-built for regulated environments with on-premise deployment, anonymization and enterprise-grade data control.
Deep enterprise integrations
Embedded across your existing enterprise systems and workflows, lowering the barrier to adoption.
Ava is one of our AI employees. Ask her anything.
Call or chat with Ava
Our AI sales engineer, on the job 24/7
Call or chat with Ava
Ava is a YP AI employee doing real work: answering your questions, scoping your use case, and booking your demo. Talking to her is already seeing the product in action. Click below to start.