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Innovation at Parloa
Where Parloa is innovating to help global brands win in the agentic AI era
Most reliable agentic AI
Design, deploy and manage teams of high performance AI agents — safely and reliably.
Best customer experience
Provide the best experience possible for customers, with an innovative CX automation platform that excels at voice and spans the entire customer journey.
Fastest to market
Quickly launch AI agents using an intuitive UI and builder productivity tools. Easily connect agents to existing systems to power specific CX initiatives.
Global, enterprise-grade foundation
Trusted by the biggest brands around the globe to amplify customer service initiatives.
Q1 2026
Centralized Audit Logs enables enterprises monitor, govern, and trust activity across AMP. By providing a centralized, tenant-level record of critical actions, teams gain clear visibility into who did what and when, without relying on manual evidence gathering or external tools. This audit experience supports compliance, accelerates investigations, and builds operational confidence as AI agents scale across teams and environments.
Enterprise-ready transparency and accountability
Maintain a clear, structured audit trail that brings visibility and ownership to collaborative environments.
Faster root cause analysis when issues arise
Quickly understand what changed, by whom, and when, reducing investigation time and downtime.
Stronger compliance and governance support
Simplify audits and internal reviews with reliable records that support regulatory and governance requirements.
Clear tracking of meaningful system actions
Monitor key events such as configuration updates, user access changes, tenant-level changes, API client updates, and resource creation or deletion.
Built for scale and operational confidence
Eliminate blind spots and attribution gaps as AI agents and teams grow.
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Q4 2025
Transcripts API gives teams deep visibility into what actually happens inside AI agent conversations, not just what dashboards report. While high level metrics highlight trends, transcripts reveal the underlying reasons behind escalations, repeat calls, or failed resolutions. By providing structured access to conversation data, teams can turn real interactions into actionable insights for customer analytics, reporting, and continuous optimization.
Understand why issues happen, not just that they happen
Go beyond aggregate metrics to see exactly where conversations break down or succeed.
Power customer analytics and BI dashboards
Feed conversation data into internal BI tools to build custom dashboards, reports, and KPIs tailored to your business.
Faster debugging and root cause analysis
Identify failed tool calls, misunderstandings, and escalation triggers directly within real interactions.
Improve AI accuracy and quality at scale
Validate how well AI agents understand intent and respond correctly across thousands of conversations.
Enable better handoffs and analytics workflows
Use AI conversation summaries and transcripts to support smoother human handoffs and integrate AI data into enterprise analytics environments.
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Agent Composition makes it easy to build once and deploy everywhere. With Parloa’s updated agent-building approach, teams can define an AI agent a single time and confidently roll it out across regions, languages, and channels without duplicating work or losing control.
Global reach without complexity
Launch the same agent in multiple markets while adapting to local requirements like language, greetings, legal disclaimers, and regional systems.
Consistent experiences across channels
Use one agent foundation across voice, chat, and web - while still tailoring behavior to each channel’s needs.
Safer testing and faster releases
Test changes in staging environments before promoting them to production, reducing risk and ensuring smoother launches.
Centralized control, fewer errors
Update core agent logic once and automatically apply improvements everywhere, minimizing version drift and maintenance overhead.
Built to scale with the enterprise
Manage large numbers of deployments from a single source of truth, making it easier to operate AI agents reliably at enterprise scale.
What our customers say:
"Agent composition makes it easy for us to manage agents across multiple languages and environments without duplicating them or manually switching API URLs. We can make a change once and apply it everywhere, which keeps everything consistent and saves time. It’s also flexible enough to support different welcome messages depending on how customers reach the agent. Overall, it’s removed a lot of manual work and stress from our releases."
Manuel Buser, Conversational AI Engineer, Helvetia
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Barge-in improves the responsiveness of voice interactions by allowing callers to interrupt the AI agent as soon as their speech is recognized. Instead of waiting for prompts to finish, callers can naturally steer the conversation, creating a more human-like and efficient experience. This update reduces friction in voice flows and makes AI agents feel faster, more attentive, and easier to interact with.
More natural, human-like conversations
Let callers speak when they’re ready, without waiting for long prompts to finish.
Faster and more responsive interactions
Reduce unnecessary delays by immediately stopping audio when a caller starts speaking.
Less friction for repeat callers
Enable experienced users to move quickly through conversations and get what they need faster.
Improved customer satisfaction in voice channels
Smoother timing and better flow lead to more intuitive and engaging voice experiences.
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Voice Enhancements for ElevenLabs give teams more control over how AI agents sound and where voice data is processed. With improved voice tuning options and EU-based processing support, businesses can deliver more natural, consistent voice experiences while meeting strict enterprise and compliance requirements. Together, these updates help AI agents sound more on-brand, more reliable, and ready for global deployment.
More natural and consistent voice output
Fine-tune pronunciation, pacing, and speech consistency so conversations sound smoother and easier to understand.
Greater control over brand voice
Adjust how AI agents speak to better reflect brand tone, customer expectations, and different use cases.
EU-based voice processing for compliance
Process ElevenLabs voice data fully within the EU to support GDPR alignment and data residency requirements.
Flexible setup per agent
Configure voice behavior and processing location individually for each agent, based on audience or regulatory needs.
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Q3 2025
Advanced Chunking Strategies help your AI agents deliver more precise, more reliable answers from knowledge content. By giving teams more control over how information is structured and retrieved, Knowledge Skills can now adapt to the way your content is actually written rather than forcing it into a one-size-fits-all model.
Better answers from the same content
Match the structure of your knowledge base to the nature of your content, improving accuracy for technical documentation, policies, and FAQs.
More confidence in how knowledge is used
Preview exactly how content will be broken up before changes go live, so there are no surprises in how agents retrieve information.
Fewer misunderstandings and hallucinations
Cleaner and more relevant retrieval methods reduce the risk of partial answers, misinterpretation, or missed context.
Control without complexity
Choose the right retrieval strategy for each knowledge source without reworking or rewriting your content.
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Pronunciation Controls give teams greater control over how AI agents speak, ensuring brand names, abbreviations, and structured information are pronounced clearly and consistently. Instead of relying on fragile prompt workarounds, teams can now fine-tune pronunciation directly within AMP to create more natural, professional voice experiences. This improves clarity, reduces friction in conversations, and helps AI agents sound more confident and on-brand across every interaction.
Clear and consistent pronunciation
Ensure brand names, abbreviations, and important terms are spoken correctly every time.
Stronger brand trust in voice interactions
Present a polished, professional voice that reinforces credibility and brand consistency.
Less manual effort for teams
Move away from prompt hacks and external workarounds to a more reliable, scalable approach.
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RBAC & SSO & IdP strengthens Parloa’s enterprise security foundation by enabling centralized authentication and granular access control across the platform. By integrating with enterprise Identity Providers and introducing role-based permissions, teams can scale AI operations securely while reducing administrative complexity.
Seamless enterprise authentication
Enable login via OpenID-compatible IdPs like Okta, Google, and Microsoft for secure, simplified access.
Role-based permissions
Control who can access and manage specific resources across workspaces and environments.
Stronger governance & reduced IT overhead
Automate user management and enforce compliance with centralized authentication and structured access policies.
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AMP Text Chat API extends existing AMP Agents beyond voice, enabling teams to deliver the same high-quality AI agent experience across text channels. Instead of maintaining separate chat bots, businesses can reuse their proven voice agents to create consistent, scalable conversations wherever customers prefer to engage. This reduces fragmentation across channels while making it easier to expand AI agents without added operational complexity.
One AI agent experience across voice and chat
Deliver consistent answers, tone, and logic across phone and text channels using the same underlying AI agent.
Faster expansion to new channels
Extend existing agents to chat without rebuilding logic from scratch, accelerating time to value.
Reduced operational overhead
Eliminate the need to manage and maintain separate bots for voice and text, simplifying AI operations.
More seamless customer journeys
Meet customers in their channel of choice while maintaining continuity, quality, and trust across interactions.
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Parloa Data Hub gives teams secure and real-time access to raw event-level conversation data from within AMP in a programmatic manner. Built using Databrick’s open-source Delta Sharing protocol, Data Hub also includes Azure-powered multi-lingual PII redaction for GDPR compliance.
Own your data, without the operational overhead
Access detailed conversation and event data without copying or duplicating it
Built-in privacy and compliance
PII is automatically redacted across languages, so teams can analyze customer interactions globally while staying GDPR-compliant by default.
Data that’s ready to use
Interaction data arrives clean, structured, and analysis-ready, no heavy lifting or data wrangling required.
Fits into your existing analytics stack
Stream Parloa data into the analytic workbench your teams already use for analysis and reporting, then combine it with internal business data for deeper insight.
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Parloa’s improved Agent Debugging experience helps teams find and fix issues faster, without any guesswork. With a clearer, more intuitive debugging interface in AMP Studio, Agent Builders get the visibility they need to understand what’s happening inside a conversation and optimize for performance.
Faster troubleshooting
See clean, structured event data for every step in a conversation, making it easier to identify where things went wrong.
Clear visibility into agent behavior
View conversation context and metadata in one place to pinpoint issues across logic, integrations, and execution.
Better collaboration across teams
Share clear, consistent debug views so that product, engineering, and operations teams can align and resolve issues faster.
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With Custom Config, teams can tailor agent behavior to better reflect business logic, system context, and operational needs - within a developer experience in AMP Studio.
Smarter conversations from the first second
Start interactions with relevant context already in place, so agents respond faster and more accurately.
Cleaner, more reliable call handling
Improve hangup automation to ensure conversations end at the right time, reducing friction for customers and unnecessary load on systems.
More precise routing decisions
Route conversations using richer context and extended data, not just surface-level signals, to get customers to where they need to go.
Better integration with voice infrastructure
Support advanced routing scenarios, including SIP-based forwarding, to fit seamlessly into existing telephony environments.
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Parloa Knowledge Skills now deliver more accurate, more reliable answers - even for complex and multilingual customer questions. With support for enhanced embedding models, teams can improve how their AI agents understand meaning, context, and intent, leading to clearer responses and fewer misunderstandings.
Stronger understanding of real customer questions
Agents can better interpret complex phrasing, technical terminology, and nuanced requests, not just keyword matches.
Higher answer accuracy across languages
Improved semantic understanding translates into more consistent, high-quality answers for global audiences, including multilingual and non-English use cases.
Immediate impact, no disruption
Existing knowledge content works right away. Teams get better performance without rework, migrations, or downtime.
Flexibility as your use cases evolve
Teams can choose the right level of semantic depth for different content types, balancing performance and cost as needs change.
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Q2 2025
Parloa Evaluations provide structured, reliable performance checks to ensure that your AI agents meet business, compliance, and experience standards, well before going live.
Outcome-aligned scoring
Measure task success, accuracy, and agent behavior against real business metrics.
Actionable insights, fast
Filter results to quickly identify failures and improvement areas to continuously optimize your agents
Consistent quality control
Apply deterministic rules for clear, repeatable performance validation.
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Q1 2025
PCI-compliant credit card data collection via DTMF enables secure payment capture during AI-powered voice interactions without exposing sensitive card details. By isolating and tokenizing card input through keypad entry, businesses can process payments while maintaining strict PCI DSS compliance.
Secure card capture via keypad input
Collect credit card details using DTMF tones, preventing sensitive data from being processed or stored by the AI agent.
Maintain PCI DSS compliance
Reduce compliance scope and risk with secure isolation and tokenization of payment data.
Seamless voice payment experience
Allow customers to complete transactions securely within the same call, without agent handoff or friction.
Parloa Simulations let teams test and validate AI agents before launch by recreating real-world customer interactions at scale - so performance issues are caught early and not in production.
Real-world scenario testing
Simulate ambiguity, edge cases, and complex conversation paths beyond happy flows.
Scale with confidence
Run thousands of automated conversations to uncover volume-based issues.
Faster, safer launches
Identify gaps early and iterate before customers are impacted.
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