List of Posh AI Customers
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United States
Since 2010, our global team of researchers has been studying Posh AI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Posh AI for Chatbots and Conversational AI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Posh AI for Chatbots and Conversational AI include: Hudson Valley Credit Union, a United States based Banking and Financial Services organisation with 917 employees and revenues of $210.0 million, Camden National Bank, a United States based Banking and Financial Services organisation with 630 employees and revenues of $184.0 million, Metro Credit Union, a United States based Banking and Financial Services organisation with 327 employees and revenues of $68.0 million and many others.
Contact us if you need a completed and verified list of companies using Posh AI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Posh AI customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Camden National Bank | Banking and Financial Services | 630 | $184M | United States | Posh AI | Posh AI | Chatbots and Conversational AI | 2024 | n/a |
In 2024, Camden National Bank implemented Posh AI as a Chatbots and Conversational AI solution to modernize contact center operations and accelerate incident response. The deployment introduced Posh AI into frontline customer engagement channels with a branded voice assistant called "Cam" alongside Posh Answers to provide rapid, conversational responses.
The implementation combined the branded voice assistant Cam and Posh Answers, configured for conversational routing, automated onboarding workflows, incident playbooks, and knowledge base driven responses. Configuration emphasized portal-driven updates for real-time script and content changes, enabling staff to adjust conversational flows and fraud response prompts without code changes.
This work targeted contact center and CRM processes in the United States, focusing on operational handoffs between conversational agents and contact center queues and on CRM workflow support for onboarding. Integrations and operational coverage centered on agent escalation paths, interactive voice assistant sessions, and the CRM processes that record onboarding and incident outcomes.
Outcomes reported include abandonment rates falling to roughly 10 to 11 percent, and Cam handling onboarding tasks during a March merger that added 30,000 customers, demonstrating operational continuity and an ability to support fraud response via portal-driven updates. The deployment under Posh AI illustrates a portal-centric governance model for rapid updates to conversational content and incident workflows.
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Hudson Valley Credit Union | Banking and Financial Services | 917 | $210M | United States | Posh AI | Posh AI | Chatbots and Conversational AI | 2023 | n/a |
In 2023, Hudson Valley Credit Union implemented Posh AI's Digital Assistant Lee and Knowledge Assistant Casey to reduce repetitive member inquiries and improve contact center efficiency. The deployment used Posh AI, a Chatbots and Conversational AI solution, and targeted contact center and customer service functions as well as employee productivity across the United States.
Casey was rolled out in summer 2023 as an agent-facing Knowledge Assistant that delivers instant, governed answers to service agents, while Lee operates as a member-facing Digital Assistant focused on deflecting repetitive inquiries. Functional capabilities implemented include conversational deflection, agent assist knowledge retrieval, and standardized answer governance consistent with Chatbots and Conversational AI workflows.
Operationally the implementation centralized knowledge governance and adjusted contact center workflows to incorporate real-time agent assist and deflection routing, which reinforced consistent member responses and reduced repetitive handling. The scope emphasized customer service and employee productivity in the United States, integrating the Posh AI assistants into front-line agent workflows and knowledge processes.
Hudson Valley Credit Union reported explicit outcomes from the deployment, citing over 200,000 minutes saved, $163,000 in annual savings, and a 201% ROI, along with improvements in first-call resolution and agent satisfaction driven by reduced repeat inquiries and faster, governed answers.
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Metro Credit Union | Banking and Financial Services | 327 | $68M | United States | Posh AI | Posh AI | Chatbots and Conversational AI | 2022 | n/a |
In 2022, Metro Credit Union implemented Posh AI, deploying Chatbots and Conversational AI to provide 24/7 digital banking and internal knowledge services. The deployment included Posh's digital assistant Chelsea, a voice assistant for telephony routing, the Knowledge Assistant, and Posh Answers across web, mobile, and phone channels. The work targeted customer service and digital banking operations in the United States, aligning conversational automation with contact center workflows.
Functional configuration centered on conversational self service and knowledge retrieval, with Chelsea handling intent classification, dialog flows, and automated routing into the contact center when required. Posh Answers and the Knowledge Assistant provided unified answer retrieval and content orchestration for both members and employees, supporting real time responses and ongoing maintenance of the knowledge corpus. The voice assistant was instrumented for high volume call routing and containment.
Operational coverage spanned customer service, contact center, and digital banking teams, and extended to internal staff knowledge tools used by member service agents. Integrations were implemented across web, mobile, and telephony channels, enabling a single conversational layer to surface answers and route sessions consistently across channels. The rollout emphasized continuous data capture to feed iterative product improvements and channel parity.
By 2024 Chelsea was routing over 60,000 calls per month with approximately 50 percent containment, and Posh Answers achieved around a 97 percent answer success rate, supporting measurable efficiency gains and data driven product improvements across channels. Governance focused on ongoing knowledge management and iterative intent tuning to preserve answer quality and containment performance.
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