Meet Peakflo's AI Voice Agents – your humanlike, scalable, always-on team member that handles business ops calls, retains memory, triggers logic based actions and updates your system of record in real time.
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Overall, looks very interesting! Definitely this will help cut down the number missed calls, but I am curious about one thing. What do the customers on the other line feel or say about talking to a AI voice agent? I remember there were studies done where people were not as comfortable for robotic agents talking very similarly to humans but were okay when they were more robotic. Regardless, curious to see how far this will go!
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@saurabh_chauhan6@dmitry_vedenyapin1@nabid Looks like a killer product! Curious how this compares or aims to compete with other AI Voice products in the market - Really interested to hear if you've got any data to support this Vs a BDR with respect to bookings / closings or any sort of macro level insights re: adoption / acceptance from humans on the other end of the line.
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Hey, this ai voice agent is solving a great use case and might be really helpful for a lot of companies out there.
I've a question, is this ai voice agent service going to create a seperate chat window for every customer? So that all of the context will be preserved in a single place for future conversations.
@chrishicken Great question! We've built several layers to handle unexpected scenarios:
1. Guardrails & Fine-tuning We implement guardrails and fine-tune our models based on industry best practices (for example, we have a fine-tuned model for insurance industry). This ensures the AI stays on track even when conversations take unexpected turns, while maintaining appropriate boundaries.
2. Automated Feedback Loops We use automated feedback loops with a proprietary algorithm (quite similar to ACE - Agentic Context Engineering) that continuously analyzes call patterns and optimizes prompts. This means the system learns from every interaction and gets better at handling edge cases over time.
3. Graceful Fallbacks When the AI encounters something truly outside its scope, it should gracefully acknowledge the situation and either redirect the conversation back on track or escalate to a human team member when needed.
The combination of these approaches means the system becomes more robust with each conversation, rather than being brittle when faced with the unexpected.
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Congrats! Does it integrate with CRMs or ERP systems out of the box?
Hey @roozbehfirouz , we have out of the box and battle tested (on high volumes of transactions) integrations with Netsuite, Xero, Quickbooks, Zoho, MSD365 F&O and Business central, SAP B1, SAP S4/Hana spanning objects across Receivables and Payables.
On CRM side we have native integrations with Salesforce and Hubspot
In case of the ERP/CRM is not supported, we have SFTP + configurable CSV files OR browser-use agents to speed run the integration process!
Overall, looks very interesting! Definitely this will help cut down the number missed calls, but I am curious about one thing. What do the customers on the other line feel or say about talking to a AI voice agent? I remember there were studies done where people were not as comfortable for robotic agents talking very similarly to humans but were okay when they were more robotic. Regardless, curious to see how far this will go!
@saurabh_chauhan6 @dmitry_vedenyapin1 @nabid Looks like a killer product! Curious how this compares or aims to compete with other AI Voice products in the market - Really interested to hear if you've got any data to support this Vs a BDR with respect to bookings / closings or any sort of macro level insights re: adoption / acceptance from humans on the other end of the line.
Hey, this ai voice agent is solving a great use case and might be really helpful for a lot of companies out there.
I've a question, is this ai voice agent service going to create a seperate chat window for every customer? So that all of the context will be preserved in a single place for future conversations.
Middleware
The AI voice agent is the hottest topic worldwide. Congrats and team on launching Peakflow AI voice agents.
Peakflo AI
@sawarams Thanks, really appreciate it!
Middleware
The AI voice agent is the hottest topic worldwide. Congrats Saurabh and team on launching Peakflow AI voice agents.
Theysaid
How does Peakflo handle situations where the AI encounters unexpected responses or conversations that don’t follow a predictable pattern?
Peakflo AI
@chrishicken Great question! We've built several layers to handle unexpected scenarios:
1. Guardrails & Fine-tuning We implement guardrails and fine-tune our models based on industry best practices (for example, we have a fine-tuned model for insurance industry). This ensures the AI stays on track even when conversations take unexpected turns, while maintaining appropriate boundaries.
2. Automated Feedback Loops We use automated feedback loops with a proprietary algorithm (quite similar to ACE - Agentic Context Engineering) that continuously analyzes call patterns and optimizes prompts. This means the system learns from every interaction and gets better at handling edge cases over time.
3. Graceful Fallbacks When the AI encounters something truly outside its scope, it should gracefully acknowledge the situation and either redirect the conversation back on track or escalate to a human team member when needed.
The combination of these approaches means the system becomes more robust with each conversation, rather than being brittle when faced with the unexpected.
Congrats! Does it integrate with CRMs or ERP systems out of the box?
Peakflo AI
Hey @roozbehfirouz , we have out of the box and battle tested (on high volumes of transactions) integrations with Netsuite, Xero, Quickbooks, Zoho, MSD365 F&O and Business central, SAP B1, SAP S4/Hana spanning objects across Receivables and Payables.
On CRM side we have native integrations with Salesforce and Hubspot
In case of the ERP/CRM is not supported, we have SFTP + configurable CSV files OR browser-use agents to speed run the integration process!