What happens after you sign

Most vendors go quiet after onboarding. How Posh runs implementation: two strategy sessions, a five-person team, and business reviews every three to four months.

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Stop Asking If You Can Afford AI. Start Asking Where the Money Already Is.

Webinar recap: Building the Business Case for AI, with Kathy Sianis (Posh) and Steve Goodwine (Hudson Valley Credit Union)

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Why Contact Center Agents Quit and How AI Improves Retention

Contact center attrition runs 30-45% a year and most agents leave within 12 months. What actually drives it, and the five things AI changes about the job.

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AI Vendor Risk in Banking: What to Evaluate Before You Sign

Four risks that matter when deploying AI at a bank or credit union, the controls that mitigate each, and how to compare vendors when feature lists look identical.

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Nobody Hired Them to Be the Interpreter

Interpreting became their second job without the title or the pay. The real cost of relying on bilingual employees, and what to do instead.

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Customer-Facing or Employee-Facing AI: Which Should Banks Deploy First?

Your customers and employees ask the same questions. Why unifying the knowledge layer beats running two AI projects, with data from 125+ institutions.

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What Your Non-English Speaking Customers Are Actually Costing You

U.S. financial institutions lose ~$300K a year to language barriers. The losses are invisible by default - stalled applications, skipped cross-sells. Here's how to fix it.

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The Account Opens Fine. Then the Language Barrier Shows Up.

Bilingual staff cover the walk-in. They don't cover the fraud call or loan denial. See how Posh Translate lets every employee serve any customer, in language.

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When Should a Bank or Credit Union Deploy AI?

Deploy AI ahead of your next moment of change, not after. The seven transitions where timing matters most, with lead times and results from 9 institutions.

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