September 23, 2024
We’re always looking to see what we can do to make improvements here at Sybill and lately, we’ve been quite busy.
Launched six months ago, Deal Summaries received overwhelming love for making your CRM the single source of truth, while saving you more hours and yielding higher returns on your CRM investment.
Unlike typical CRM automation tools that update information based on the latest call only, Deal Summaries comprehensively analyzes the entire history of your interactions—calls and emails—throughout the deal lifecycle.
It then updates your CRM fields to reflect every critical aspect accurately.
Deal Summaries auto-updates next steps, qualification criteria such as tech stack and competition, feature requests, and adherence to sales methodologies like BANT, MEDDPICC, SPICED, or any custom workflow you employ.
Now, we've improved Deal Summaries to work like a virtual member of your sales team. It's built to understand your deals and clients with a deep level of sales context, working just like a smart sales representative. More like a second brain!
In essence, everything!
Traditional CRM automation has often frustrated many sales teams. It's usually marked by:
Unlike standard tools that merely update CRM entries after each call—providing little support for actual sales processes and forecasting—Deal Summaries offers a unique approach.
At the heart of Sybill's Deal Summaries is our innovative RAG (Retrieval-Augmented Generation) format.
You might wonder, "What is RAG, and why does it matter?"
Here’s how it makes a significant difference:
Retrieval-augmented generation (RAG) improves the accuracy and reliability of AI models by integrating facts gathered from external databases.
To understand it better:
Imagine a courtroom scenario where Judges hear and decide cases based on their general understanding of the law. Sometimes a case — like a malpractice suit or a labor dispute — requires special expertise, so judges send court clerks to a law library, looking for precedents and specific cases they can cite.
Like a good judge, large language models (LLMs) can respond to a wide variety of human queries. But to deliver authoritative answers that cite sources, the model needs an assistant to do some research.
The court clerk of AI is a process called Retrieval-augmented generation (RAG) for short.
For authoritative responses that reference sources, these models, equipped with RAG, act like diligent clerks, fetching necessary information.
This process not only builds trust by allowing users to verify claims but also clarifies ambiguities and reduces the risks of inaccuracies, often referred to as "hallucinations" in AI.
Typically, automation tools simply extract and populate CRM fields with basic information, often missing what is truly relevant for sales reps. Deal Summaries changes this by acting as a second sales representative.
With Deal Summaries, our proprietary AI model becomes your sales org's best friend, second pair of hands, second brain, and that brilliant assistant you always wanted. And your CRM becomes your single source of truth for deal progress and forecasting precision.
See how Deal Summaries fits into your unique challenges, goals, stack, and methodologies.
Saving 5+ hours a week with freedom from call summarization is something Sybill users have been doing very well for a while now.
And it just got better with Deal Summaries, designed for sales orgs and leaders who like to stay on top of forecasts, deal progress, and CRM discipline.
“Sybill is completely revolutionizing sales and AI.”
“I got my ROI from Sybill back on the first day.”
Just a few things our early users are saying. Check out our Wall of Love here!
We’re just scratching the surface of everything Sybill's about to do to augment your sales org's inherent human skills - relationship building, empathetic problem-solving, and closing deals.
Your sales game is about to change. Are you ready for the leap into the future?
Book a demo to take Sybill’s Deal Summaries for a spin.
We’re always looking to see what we can do to make improvements here at Sybill and lately, we’ve been quite busy.
Launched six months ago, Deal Summaries received overwhelming love for making your CRM the single source of truth, while saving you more hours and yielding higher returns on your CRM investment.
Unlike typical CRM automation tools that update information based on the latest call only, Deal Summaries comprehensively analyzes the entire history of your interactions—calls and emails—throughout the deal lifecycle.
It then updates your CRM fields to reflect every critical aspect accurately.
Deal Summaries auto-updates next steps, qualification criteria such as tech stack and competition, feature requests, and adherence to sales methodologies like BANT, MEDDPICC, SPICED, or any custom workflow you employ.
Now, we've improved Deal Summaries to work like a virtual member of your sales team. It's built to understand your deals and clients with a deep level of sales context, working just like a smart sales representative. More like a second brain!
In essence, everything!
Traditional CRM automation has often frustrated many sales teams. It's usually marked by:
Unlike standard tools that merely update CRM entries after each call—providing little support for actual sales processes and forecasting—Deal Summaries offers a unique approach.
At the heart of Sybill's Deal Summaries is our innovative RAG (Retrieval-Augmented Generation) format.
You might wonder, "What is RAG, and why does it matter?"
Here’s how it makes a significant difference:
Retrieval-augmented generation (RAG) improves the accuracy and reliability of AI models by integrating facts gathered from external databases.
To understand it better:
Imagine a courtroom scenario where Judges hear and decide cases based on their general understanding of the law. Sometimes a case — like a malpractice suit or a labor dispute — requires special expertise, so judges send court clerks to a law library, looking for precedents and specific cases they can cite.
Like a good judge, large language models (LLMs) can respond to a wide variety of human queries. But to deliver authoritative answers that cite sources, the model needs an assistant to do some research.
The court clerk of AI is a process called Retrieval-augmented generation (RAG) for short.
For authoritative responses that reference sources, these models, equipped with RAG, act like diligent clerks, fetching necessary information.
This process not only builds trust by allowing users to verify claims but also clarifies ambiguities and reduces the risks of inaccuracies, often referred to as "hallucinations" in AI.
Typically, automation tools simply extract and populate CRM fields with basic information, often missing what is truly relevant for sales reps. Deal Summaries changes this by acting as a second sales representative.
With Deal Summaries, our proprietary AI model becomes your sales org's best friend, second pair of hands, second brain, and that brilliant assistant you always wanted. And your CRM becomes your single source of truth for deal progress and forecasting precision.
See how Deal Summaries fits into your unique challenges, goals, stack, and methodologies.
Saving 5+ hours a week with freedom from call summarization is something Sybill users have been doing very well for a while now.
And it just got better with Deal Summaries, designed for sales orgs and leaders who like to stay on top of forecasts, deal progress, and CRM discipline.
“Sybill is completely revolutionizing sales and AI.”
“I got my ROI from Sybill back on the first day.”
Just a few things our early users are saying. Check out our Wall of Love here!
We’re just scratching the surface of everything Sybill's about to do to augment your sales org's inherent human skills - relationship building, empathetic problem-solving, and closing deals.
Your sales game is about to change. Are you ready for the leap into the future?
Book a demo to take Sybill’s Deal Summaries for a spin.
