Let’s meet Angela, an HR operations
manager for a community bank.

What does a day like for Angela?
  • She starts her day by kicking off an onboarding meeting with a new set of workers. She runs through her usual presentation, then opens up the floor for Q&A. Immediately, Angela is peppered with questions about company policies. She answers the best she can, and promises to follow up on answers she doesn’t know.
  • Later that day, Angela is searching through the bank’s knowledge base to track down answers. Unfortunately, Sharepoint, shared drives, and other folders are full of both old and new process documents, and her search functions aren’t nimble enough for the specific employee questions. It takes her nearly all day to find these answers.
  • In an afternoon meeting, the VP mentions some upcoming compliance and regulatory changes that will further change the way the bank operates. Angela’s heart sinks, knowing she’ll have to train the company on brand new information while she’s also learning it at the same time.

AI + HR = the perfect p-AI-r

AI isn’t replacing humans anytime soon. But, folks who use AI will outperform those who don’t. And it’ll make them happier and more engaged at work.

STUDY 1
“Customer service agents with two months of experience who used AI support performed as well or better than agents with over six months of experience working without AI.”
Stanford / MIT
STUDY 2
“Generative AI enables financial services organizations to become more emotionally available to customers, employees and shareholders alike.”
Bain Capital Ventures Insight
STUDY 3
“AI boosted worker productivity by 14%”
Stanford / MIT
QUOTE
“Our agents now enjoy more engaging conversations with members that go deeper. They’re using their skills and are more engaged, so our agents are more satisfied with the work they’re doing.”
Steve Goodwine / HVCU, VP, Dir. of Contact Center

What does a day look like for Angela now?

  • Angela kicks off an onboarding meeting with a new set of workers. She has updated her presentation to reflect frequently asked questions based on trending topics and questions in the company’s Knowledge Assistant as well as the standard information.
  • A couple new questions come in, and Angela quickly searches the generative AI database for an answer. The assistant tells her the exact answer she needs—in less than 7 seconds.
  • In an afternoon meeting, the VP mentions upcoming compliance and regulatory changes. Angela isn’t stressed, knowing she can easily find source of truth documents and seamlessly update the information without digging through Sharepoint.

Generative AI Powered Search Benefits

201%

Return on
investment

93%

Search time reduction

Not just any AI search solution can give you an experience like this.

By connecting to your knowledge base, Posh’s Knowledge Assistant can provide immediate answers to questions in our simple interface.

Knowledge Assistant securely connects to the database and ingests anything including PDFs, documents, excel sheets, websites, and cloud-hosted Sharepoint. We get FIs up and running within a week.

HR workers instantly type in questions using the same terms the employee uses, no matter the complexity. The AI searches for the answer based on the question’s meaning, not just keywords.

Knowledge Assistant answers the question in a personalized, straightforward manner, complete with citations to the source—within seconds. And, the assistant also serves up other questions that are asked in relation to the first question, showcasing both the answer and other relevant documents, to better arm HR teams.

Administrators can get insights and analytics from Knowledge Assistant to understand how to best improve the knowledge base, such as trending topics and gaps in the knowledge base.

What’s next for Angela?

Internal AI with Knowledge Assistant is only the first step in improving Angela’s experience. Combining internal AI with external AI means that Angela can more easily onboard and train frontline workers. A digital or voice assistant can route calls, so Angela can focus training in units so agents only answer calls on certain topics. Not only does that spread out Angela’s workload, it empowers call center agents to better serve customers.

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