Every Call Counts: Value Extractor

Agentic Ai in Action:

The Goal

Turn recorded sales calls into immediate, smart actions—like updating your CRM, setting tasks, and sending instant alerts—so sales reps can focus 100% on selling.

What does it solve?

Sales reps often lose sales because urgent details are stuck in call recordings and following up takes too long. Manual data entry wastes nearly two hours a day per rep, leaving less time for making deals.

A young man in a business suit talking on a mobile phone, standing in front of a wall with the word 'PRODUCTIVITY' written on it along with doodles of hearts, checkboxes, an arrow, and a paper.

How does it help?

Every good prospect gets flagged right away, and high-value deals get noticed within minutes

Takes notes and updates your CRM instantly; sales staff save over nine hours each week
Helps sales teams win more deals, turning around 25% to 40% more leads into customers
Quick, easy setup—works smoothly with current sales call tools and systems

With “Deal Finder for Sales Calls,” teams close more deals and waste far less time, letting salespeople focus on selling, not paperwork.

How Our Sales Call Optimiser Works

Turning conversations into actionable insights, automatically

What We Do	What You Get	Why It Matters
1 Generate Call Summary	A clear, concise summary of the entire conversation in plain English	Save time: No need to listen to hour-long calls. Get the key points in seconds.
2 Extract Contact Details	Names, email addresses, phone numbers, company info, and decision-maker roles	Never miss a lead: Every contact detail is automatically captured and ready for your CRM.
3 Analyze Sentiment & Tone	Customer emotion (excited, hesitant, frustrated), conversation tone, and engagement level throughout the call	Read between the lines: Understand how the customer really feels, not just what they say.
4 Detect Buying Signals	Budget mentions, timeline questions, decision-maker involvement, competitor comparisons, and urgency indicators	Strike while hot: Know exactly when a prospect is ready to move forward.
5 Identify Objections & Concerns	Price concerns, feature gaps, competitor mentions, implementation worries, and unresolved questions	Address blockers: See exactly what's holding them back so you can prepare the perfect response.
6 Extract Sales Opportunities	Products mentioned, upsell potential, cross-sell opportunities, and specific pain points your solution addresses	Maximize revenue: Never miss a chance to offer additional value.
7 Score & Prioritize Leads	Quality score (1-10) based on budget, authority, need, timing, plus engagement and sentiment analysis	Focus on winners: Spend your time on the leads most likely to convert.
8 Smart Routing & Next Steps	Automatic assignment to the right team member with specific recommended actions and follow-up timing	Perfect match: Every lead reaches the person best equipped to help them, with a clear action plan.

The 6 Key Steps of this Ai Workflow

Step	Business Function	What It Does (The Benefit)
1 The Data Extractor	Identify Key Information	The AI listens to the call and pulls out all the important details. This includes the contact's name, their company's pain points, any competitor names, and the prospect's mood (sentiment). It captures the gold.
2 The Smart Scorer	Intelligent Lead Scoring	It judges the quality of the conversation. It gives every lead a score (1 to 100) and predicts how likely they are to buy and how fast the deal will close. It tells your team who to call next.
3 The Relationship Keeper	Remember Every Conversation	The system builds a complete memory of the client across all calls. It detects if they are getting warmer or cooler and makes sure your reps never treat a returning customer like a stranger. It builds better relationships.
4 The Smart Router	Urgent Notification System	It prevents "alert spam." Only hot prospects (high score, high urgency) trigger an immediate, loud alert to the senior rep or manager via Slack. Routine calls get simple notifications. It focuses your team instantly.
5 The Automatic Updater	CRM Manager	No more manual data entry. The AI creates new contacts, logs detailed call notes, creates new sales opportunities, and sets follow-up tasks—all automatically and without duplicates. It saves hours every day.
6 The Follow-Up Assistant	Personalized Response Action	The system can trigger a personalized follow-up email to the prospect right after the call ends. It also alerts managers about high-value discussions. It guarantees fast, consistent follow-up.

The Autonomous Sales Call Analyst

A detailed flowchart diagram on a digital workspace, divided into colored sections, representing a sales call optimization workflow.

Flowchart diagram illustrating sales call intake and routing process with steps such as Queue Intake, Format Queue Item, Queue Storage Logic, Process Now, and Queue Response, set against a pink background with various connected blocks and description

Flowchart illustrating data cleanup and traffic control process for sales call optimization, including steps like normalize, validate, enhance input, check rate limits, and merge data.

Flowchart diagram showing an AI conversation analysis process, including AI summaries, call generation, contact extraction, scoring, merging analysis, and success checks, with various model fallback options.

Flowchart diagram illustrating sales call optimization process with sections for AI analysis, quality assurance and formatting, and customer database integration, including process blocks, checks, and connections.

Diagram of customer database integration workflow with steps including testing CRM connection, checking CRM status, handling offline mode, checking contact existence, updating existing contact or creating new lead, and setting task contacts and leads

Screenshot of a sales pipeline management workflow in a visual programming interface, featuring various nodes and connections related to managing sales opportunities and call history analysis.

Screenshot of a workflow diagram related to sales call optimization, with sections titled 'Relationship Context Engine' and 'Smart Communication', consisting of various process blocks, connectors, and tool icons.

Flowchart demonstrating a sales communication hub with steps for normalizing notification data, sending Slack notifications, checking urgency, and sending follow-up or manager emails, ending with setting notification status.

Workflow diagram titled System Monitoring with steps for testing health system APIs, CRM connection, Slack connection, merging health check data, and aggregating results.

Flowchart titled "CRM Offline Retry Handler" with steps for checking offline queue, testing if CRM is online, and processing records, including creating or updating leads and re-creating contacts.

Happy man in call center smiling at camera with colleagues working at computers in background.

The Evidence

Saves Every Rep: Sales reps save 9+ hours per week per person on taking notes and updating the CRM.*
Conversion Lift: Improves qualified lead-to-deal conversion by 25% to 40%.*
Speed: High-value prospects are identified and flagged for follow-up in under 5 minutes.*
Technology: A highly reliable C8pable Ai workflow that integrates seamlessly with your existing call recording tools and crm.

*Client ROI Data: Based on typical time saved when eliminating manual data entry (transcribing calls, updating HubSpot/CRM fields, setting follow-up tasks). The conversion lift is a conservative average often seen when lead follow-up time drops from 24 hours to under 5 minutes.

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