Posh AI

Posh AI

Agentic AI platform built exclusively for banking customer and employee experiences.

93/100Safe BetCustom pricingContact Sales

Posh AI solves the right problem—banking compliance at scale—with a genuinely novel architecture (Operating Procedures). The ROI numbers are compelling, and the employee tools (Simulator, CoachQA) close a loop most vendors ignore. Weakness: opaque enterprise-only pricing and total lock-in to financial services mean you can't test-drive it without a demo.

Best for
  • Banks and credit unions automating customer service across voice, chat, and digital channels
  • Financial institutions aiming to reduce abandonment rates and improve containment while staying compliant
  • Contact centers needing AI-driven training (Posh Simulator) and conversation compliance evaluation (Posh CoachQA)
  • Institutions wanting a unified platform for customer-facing and internal AI agents governed by shared knowledge
Not ideal for
  • Non-financial industries (retail, healthcare, e-commerce) due to deep banking specialization
  • Organizations needing simple rule-based chatbots without compliance workflows
  • Small businesses that cannot commit to enterprise contact-based pricing
Visit Website

IntermediateInitial setup for a single channel (e.g., Voice Assistant) typically takes 4-8 weeks, including knowledge ingestion, Operating Procedure configuration, and integration with core systems. For full multi-channel rollout with employee tools, expect 8-16 weeks. Posh provides dedicated onboarding support.Web · Mobile · APIAPI available5.6k viewsVerified 15d ago
Pricing
Custom pricing
Contact Sales3 hidden costs
Learning curve
Intermediate
Initial setup for a single channel (e.g., Voice Assistant) typically takes 4-8 weeks, including knowledge ingestion, Operating Procedure configuration, and integration with core systems. For full multi-channel rollout with employee tools, expect 8-16 weeks. Posh provides dedicated onboarding support.
Runs on
WebMobileAPI
API available
Who it's for
Contact center manager at a credit unionDigital experience director at a bankHead of learning and development at a bank
Live sentiment
Is Posh AI actually worth it?

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Skip it if

Skip Posh AI if you operate outside financial services or need a low-cost, no-code chatbot without deep compliance features.

The 30-second take
Biggest gripe

Contact-based pricing; no public tiers to evaluate

Price reality

Posh AI uses contact-based enterprise pricing, making it cost-transparent only after a sales call. This suits mid-to-large banks and credit unions with budgets for premium AI, but may be prohibitive for smaller institutions. Compared to generic chatbot platforms like Intercom or Zendesk Answer Bot, Posh likely carries a higher price point justified by banking-specific compliance features.

In short

Posh AI — Agentic AI platform built exclusively for banking customer and employee experiences. Best for Banks and credit unions automating customer service across voice, chat, and digital channels, Financial institutions aiming to reduce abandonment rates and improve containment while staying compliant, Contact centers needing AI-driven training (Posh Simulator) and conversation compliance evaluation (Posh CoachQA). Contact Sales pricing.

What's new in Posh AI

Checked 14 days ago

Across the latest 1 update: 1 feature update.

Viability Score

93/100
Safe Bet

How likely is Posh AI to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.

momentum
100
funding runway
70
website health
90
wrapper dependency
100

Last calculated: July 2026

How we score →

Key Features

  • 24/7 voice assistant for banking transactions with natural conversation
  • Digital assistant for web, mobile app, SMS, and email
  • Posh Answers: AI-powered website search and help center
  • Posh Outreach: proactive AI agents via voice, SMS, email, and push
  • Posh Simulator: AI-driven role-play training for employees
  • Knowledge Assistant: secure employee Q&A workspace grounded in governed knowledge
  • Posh CoachQA: evaluate 100% of conversations for compliance and coaching
  • Operating Procedures: reasoning framework combining LLM flexibility with code control
  • Posh Portal: no-code management dashboard for all products
  • Knowledge Management Studio: unified knowledge creation, governance, and delivery
  • Modular mini-agents for adaptive call handling
  • Multi-channel consistency (voice, chat, search from one brain)
  • Automated compliance enforcement and fraud prevention
  • Integration with existing banking technology stacks
  • Policy-aligned agents for customers and employees

About Posh AI

Contact SalesIntermediateAPI availableWeb · Mobile · API

Posh AI is an operational AI layer purpose-built for financial institutions, enabling banks and credit unions to deploy policy-aligned AI agents across voice, digital, and employee workflows. The platform replaces rigid scripts with Operating Procedures—a reasoning framework that combines LLM flexibility with code-level control—so that customer-facing voice assistants, digital assistants, and proactive outreach agents can adapt in real time while enforcing compliance. Employee-facing tools like Posh Simulator (AI-driven training scenarios), Knowledge Assistant (secure internal Q&A), and Posh CoachQA (conversation evaluation) help reduce onboarding time by 4x and ensure 100% of conversations meet compliance standards. The Posh Portal serves as a no-code management hub for all products. Posh ships with native integrations into existing banking technology stacks and emphasizes trust, security, and privacy. With client-reported metrics including $660K annual savings, 95% containment rate, and 201% ROI, Posh positions itself as the unified agentic workforce for financial services—differentiated from generic chatbot vendors by its deep domain specialization, Operating Procedures framework, and comprehensive employee productivity suite.

Behind the Verdict

Posh AI is not a general-purpose chatbot—it's a banking-specific operating system for conversational AI. The selling point is the Operating Procedures framework, which gives compliance teams code-level control over LLM behavior without needing to write code. That's rare and valuable. When to pick this: you're a mid-sized to large credit union or bank drowning in call volume and compliance overhead. The all-in-one pitch—voice, digital, training, coaching, search—is credible because the Knowledge Management Studio keeps everything governed from one source. The reported 4x onboarding speed and 95% containment rate are specific benefits that resonate with contact center leaders. When to pass: you're outside financial services—full stop. The integration list, knowledge models, and compliance features are built for Reg Z, Reg E, and SOC-2 requirements. A retail brand or healthcare system would pay for capabilities they can't use. Also, if you want to buy a standalone voice bot without the employee suite, Posh pushes the whole platform. Compared to the closest alternative (say, a generic NLU platform + compliance overlay), Posh is more opinionated and faster to deploy for banking scenarios. But it's less flexible: you can't easily swap out the LLM or add non-banking intents. The lack of published pricing means you're locked into a discovery call before you can evaluate cost. Real-world caveats: all client statistics are self-reported; the '$660K annual savings' assumes scale. The platform is complex—multiple products, a new reasoning framework, continuous compliance tuning. You'll need a champion in IT and a business sponsor in contact center operations to succeed.

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Real-world workflow fit

Concrete scenarios for the personas Posh AI actually fits — and what changes day-one when you adopt it.

Contact center manager at a credit union

Deploy Voice Assistant to handle 70% of inbound calls (balance checks, transfers) with Operating Procedures enforcing regulatory compliance.

Outcome: Reduced hold times, 60% decrease in abandonment rates, and call center agents focusing on complex issues.

Digital experience director at a bank

Integrate Digital Assistant on mobile app and website, linked to Knowledge Management Studio for consistent answers.

Outcome: 95% containment rate on digital channels, lower support ticket volume, and increased self-service adoption.

Head of learning and development at a bank

Use Posh Simulator to run role-play scenarios for new hires, and CoachQA to evaluate 100% of live calls for compliance gaps.

Outcome: 4x reduction in employee onboarding time, and 100% of conversations meeting compliance standards.

Use Cases

Models Under the Hood

Proprietary AI models tuned for banking

as of 2026-07-06

Limitations

  • Pricing is not publicly available and requires contacting sales, which may be a barrier for smaller institutions.
  • The platform is purpose-built for banking, so it lacks general-purpose capabilities and may not integrate with non-standard or legacy systems without custom work.
  • Some initial configuration and knowledge management effort is needed.

as of 2026-06-25

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Contact-based pricing; no public tiers to evaluate
  • Potential integration costs for non-standard legacy systems
  • Initial knowledge management setup requires staff time

Where the pricing makes sense

The company stage and team size where Posh AI's pricing actually pencils out — and where peers do it cheaper.

Posh AI uses contact-based enterprise pricing, making it cost-transparent only after a sales call. This suits mid-to-large banks and credit unions with budgets for premium AI, but may be prohibitive for smaller institutions. Compared to generic chatbot platforms like Intercom or Zendesk Answer Bot, Posh likely carries a higher price point justified by banking-specific compliance features.

Setup time & first value

How long it actually takes to get something useful out of Posh AI — broken out by persona, not the marketing-page minute.

Initial setup for a single channel (e.g., Voice Assistant) typically takes 4-8 weeks, including knowledge ingestion, Operating Procedure configuration, and integration with core systems. For full multi-channel rollout with employee tools, expect 8-16 weeks. Posh provides dedicated onboarding support.

Switching to or from Posh AI

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • From legacy IVR: Posh can replace traditional IVR with AI voice agents using Operating Procedures for compliant call handling.
  • From generic chatbot: migrate knowledge base and intent mapping into Knowledge Management Studio for policy-aligned responses.
  • From multiple point solutions: consolidate customer-facing and employee AI tools into one platform via Posh Portal.
Migrating out
  • To generic AI platform: export knowledge base content and logs; workflow logic may need rebuilding in new environment.
  • To another banking AI vendor: data portability depends on contract; expect manual reconfiguration of integrations.
  • To manual operations: revert to human-only support; lose automation but retain historical conversation data.

Resources & Guides

Tutorials & Learning

Official links

Tools that pair well with Posh AI

Common stack mates teams adopt alongside Posh AI, with the specific reason each pairing earns its keep.

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