How to Boost Deal Intelligence Using Revenue AI Powered By Thunai

Is your quarterly forecast a real plan, or just a false promise?

Guessing which deals will close leads to bad decisions. You waste time and money on leads that go nowhere.

Thunai’s Revenue AI replaces guesswork with deal intelligence strategy backed by metrics. It scores every deal, building a predictable pipeline so you can invest with confidence and drive annual recurring revenue (ARR) and growth.

How Thunai’s Revenue AI Highlights Opportunities Instantly

For founders and sales leaders, a Revenue AI agent acts as your strategic overview for all commercial activities. It can be configured to your unique business drivers, studying every call and email to spot potential income.

This gives your leadership team an objective, data-backed view of the pipeline. AI-driven revenue intelligence makes sure your team focuses on the deals most likely to close and flags where you need to intervene.

No matter how many customer interactions, Thunai’s Revenue can give you a quick, structured summary covering aspects in deal intelligence like:

• High-potential opportunities
• Deal health and risk factors
• Key buying signals detected
• Confidence scoring for each deal
• Competitor mentions and objections
• Actionable next steps for the team
• Alignment with past successful pitches
• A complete, searchable conversation history

How to Automate Revenue Intelligence Using Thunai

Step 1: Before you begin, simply connect your data sources. Link Thunai to your team’s call recordings, email accounts, and CRM. This gives the AI a complete picture of your customer interactions.

Step 2: Open Revenue AI on the Thunai Dashboard. And then select Opportunity Agent Configuration.

Step 3: Next, set your opportunity parameters in Thunai. Define the key indicators, competitor names, budget-related keywords, and case studies you want the AI to track. This customizes the analysis to what drives your business.

Step 4: Once configured, Thunai’s Revenue AI works automatically in the background. As your team completes calls and sends emails, the platform processes each conversation, scoring it against your defined parameters.

Step 5: Open your Thunai dashboard to see a prioritized list of opportunities and deal intelligence. You can instantly view deal confidence scores, review key moments from a call or email, and see the automated action items assigned to your team.

How AI Agents Automate Sales Analysis for Actionable Insight

1. Stop Revenue Opportunities from Falling Through the Cracks

The truth is, manual tracking can't keep up. An SDR might miss a subtle buying signal on a call, or a key email from a promising contact gets buried. This leads to lost deals and slows down growth.

Relying on human vigilance across hundreds of interactions is not scalable. With AI revenue agents, you can:

• Ensure every single conversation is analyzed for potential.
• Get alerts on opportunities that might otherwise be overlooked.
  

2. Get Consistent, Unbiased Deal Intelligence on Your Entire Pipeline

It is almost impossible to apply the same deal assessment standard across an entire sales team. Revenue AI fixes this. It uses the same scoring model for every single interaction.

With AI analysis, founders get a single source of truth on pipeline health. This helps you build a predictable forecast based on objective data, not just gut feeling.

• Applies the same high-quality analysis to all calls and emails.
• Builds a central, data-driven view of deal stages and confidence.
• Helps you make strategic decisions with reliable information.
  

3. Save Dozens of Hours for Founders and Sales Leaders

Reviewing call recordings and email threads is a slow, manual process. It takes founders and managers away from high-value strategic work to get any deal intelligence. AI revenue agents automate this entire analysis.

This lets your leadership team go from data to decision in minutes. The Revenue AI transcribes and analyzes every conversation. It then highlights the most important insights, deals, and risks with no manual review needed.

4. Instantly Identify High-Potential Contacts and Opportunities

Knowing where to focus your team's energy is critical for hitting targets. Revenue AI agents are trained to listen for signals that indicate a strong opportunity. This helps your team prioritize its efforts effectively.

The AI places these high-confidence deals at the top of your dashboard. This deal intelligence highlights the context around the opportunity, showing you the source and stage. This gives you a clear sense of which deals need immediate attention.

5. Automate the Creation of Action Items for Your Sales Team

It can be a major challenge to ensure follow-ups happen consistently. Revenue AI agents listen to conversations and identify clear next steps. This lets your team focus on selling, not on administrative tasks.

• It finds phrases that point to a required action or commitment.
• It pulls out the action item and assigns it to the relevant team member.
• It organizes these next steps into a clear list for easy management.

6. Automatically Benchmark Conversations Against Past Wins

Your most successful pitches and case studies contain the blueprint for what works. However, using this knowledge consistently is difficult. Revenue AI analyzes new conversations and compares them to your historical data.

With a Revenue AI agent, you can see if a current deal conversation matches the patterns of previously closed-won deals. This insight in your pitch points out where the conversation aligns and where it deviates, offering powerful coaching opportunities.

7. Boost Sales Team Coaching and Accountability

Improving how a sales team performs should not mean more administrative work. AI agents automate the entire process of call review and opportunity analysis. This helps your team become more effective and accountable.

By providing clear, objective, and actionable insights, you empower your SDRs and pre-sales teams to learn from what works and focus their energy where it counts, driving better performance across the board.

Grow Your Company's Revenue Intelligence With Thunai

To build a predictable sales engine and accelerate your growth, you need accurate, real-time deal intelligence around every opportunity. 

For most companies, creating this deal intelligence by hand is not scalable or dependable.

Luckily, Thunai gives you a scalable way to solve this.

It lets you automatically surface the most promising deals from your team's daily activities. 

You can connect it with your CRM to enrich your data and build a powerful, intelligent system that understands your company’s most important conversations.
Ready to unlock your hidden revenue? Try Thunai for free and find out!

FAQs on Using Revenue AI for Deal Intelligence

What is contract intelligence?

Contract intelligence is the process of using technology to understand the data within legal agreements. AI automatically reads and analyzes contracts to extract key terms, dates, and clauses. This helps businesses quickly identify risks and opportunities hidden in their documents.

Can I use AI for sales?

Yes, you can absolutely use AI to improve your sales process. AI tools can analyze customer data to predict which leads will convert and automate repetitive tasks. This allows your sales team to focus on building relationships and closing high-value deals.

What does sales intelligence mean?

Sales intelligence refers to the collection and analysis of information about your prospects and customers. Modern sales intelligence uses AI to automatically find buying signals and relevant data about potential clients. This information helps your sales team personalize their communication and be more effective.

What are some of the top AI tools for revenue and sales?

Thunai is the best revenue AI and sales intelligence tool for enterprises that want to customize their own parameters and zero in on all potential leads. Other leading AI tools include Salesforce Einstein, HubSpot's AI tools, and conversation intelligence platforms like Gong. These tools use AI to analyze sales calls, forecast revenue, and provide insights into customer behavior