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Parloa AI Agent Management Platform (AMP)

by ParloaBerlin, GermanyNo ratings yet

Enterprise platform for building and running customer service AI agents

Visit parloa.com

Linked from parloa.com · checked 29 Oct

Tool type
Enterprise AI agent platform for customer service
Made for
Enterprise customer service and CX teams
Runs on
Web-based enterprise platform
Delivered as a web platform for voice and chat channels.
Last checked
29 Oct 2026
2 product sources

From @parloa_ai, about Parloa AI Agent Management Platform (AMP)

Recent important posts · availability

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What it does

Parloa is an enterprise platform for building, deploying and managing AI agents that handle customer conversations over voice and chat. Agents take in customer messages or calls and resolve requests such as delivery ETA questions, billing checks and reservation changes, or hand the conversation to a human team when needed.

Teams design agents, connect them to their channels and systems, and refine them over time through the platform's improvement loop, which the company calls the Performance Flywheel. Business teams closest to customers can build agents with low-code tools, and the platform covers agent lifecycle management and model orchestration in one environment. Pricing is consumption-based, charged per minute for voice and per interaction for chat, with rates set by use case complexity.

The platform is aimed at enterprise customer service operations with high contact volumes that want round-the-clock coverage. It is delivered through a custom commercial engagement rather than a self-serve plan for individuals or small teams, so prospective buyers start by requesting a demo or quote.

What it can do

  • Build customer service AI agents for voice and chat conversations
  • Handle tasks such as order status, billing checks, reservation changes and escalation to human teams
  • Manage the agent lifecycle, including model orchestration and conversational context
  • Continuously improve agents through the Performance Flywheel based on interaction data
  • Provide low-code front-end tools so business teams can build agents without IT involvement
  • Estimate financial impact of AI agents using a cost calculator based on call volume and handle time

Example workflows

Customer delivery ETA inquiry
Input: a customer asks when a delivery arrives. Steps: the agent looks up the delivery status and driver route, then confirms the ETA and asks whether the customer will be home. Output: a confirmed arrival time and an option to reroute the delivery.
Subscription billing query
Input: a customer reports being charged twice and gives an account number. Steps: the agent acknowledges the issue, collects the account number, and begins a billing review. Output: a resolved conversation or a handoff to a human team member for follow-up.

Before you choose

  • Pricing is consumption-based and custom, so costs depend on negotiated per-minute and per-interaction rates and volume commitments.
  • Rates vary by use case complexity, so total cost depends on the mix of simple and sophisticated automation.
  • The platform is positioned for enterprise-scale deployment rather than self-serve use by individuals or small teams.

Listed under

Get started

Visitors request a demo or contact the team to scope a custom deployment.

  1. Book a demo or contact the Parloa team through the website to scope the deployment.
  2. Identify the target customer service use cases and expected volumes, which the company uses to build a custom model.
  3. Work with the Parloa team to define rates, commitments and the first use case to deploy.
Book a demo or talk to the sales team

Plans and prices

Charged per minute for voice and per interaction for chat, with rates reflecting use case complexity. Volume packages and commitments are customized, so request a quote for specific rates.

Custom enterprise planUsage-basedRate set per use case complexity; request a quote.
  • Volume package selected for expected needs
  • Applied across all use cases

Source: parloa.com/platform/pricing, checked 29 Oct 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

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Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.