ZBrain
Log in
Book a demo
Book a demo
Agents Deal Health Intelligence Agent
Deal Health Intelligence Agent Icon

Deal Health Intelligence Agent

Continuously analyzes all open deals, flags at-risk opportunities, and delivers root-cause insights with action recommendations.

Sales pipeline management is often hindered by manual reviews and after-the-fact exception handling, resulting in delayed interventions and missed opportunities to recover at-risk deals. Teams struggle to efficiently evaluate the health of every opportunity in real time, which can lead to cascading revenue impacts, inefficient use of sales resources, and a lack of actionable focus in deal progression.

The Deal Health Intelligence Agent addresses these challenges by systematically monitoring each open opportunity using data drawn from both structured and unstructured internal and external sources, including CRM records, sales activity logs, market indicators, competitor intelligence, and a variety of communications and feedback channels. This agent continuously aggregates relevant data, applies predictive analytics to assign dynamic health scores, and automatically flags deals at risk based on both leading and lagging indicators. For each flagged deal, it deploys advanced analysis to infer root causes from sources such as meeting notes and sales call summaries, then generates clear, context-driven recommendations for next-best actions—empowering sales reps and managers with targeted guidance rather than generic alerts.

Implementing this agent streamlines manual effort, improves the reliability of deal assessment, and ensures timely action on high-risk opportunities. The solution sharply increases both employee productivity and overall process efficiency by automating complex analysis and providing actionable outputs. As a result, organizations are able to prioritize resources, proactively address deal risks, and drive higher win rates, producing measurable gains in revenue growth and operational effectiveness.

Accuracy
TBD

Speed
TBD

Input Data Set

Sample of data set required for Deal Health Intelligence Agent:

Aggregated Data for Opportunity Analysis


Opportunity ID: 78-9B4-5C1
Opportunity Name: Project Fusion - Enterprise ERP Implementation
Account: Quantum Dynamics
Current Stage: Technical Validation
Assigned AE: Sarah Miller




Key Meeting Summary (Dated: Yesterday)


Attendees:


    

  • Sarah Miller (InnovateCorp AE)
    • 

  • John Davis (Quantum Dynamics, VP of Operations)
    • 

  • Maria Chen (Quantum Dynamics, IT Director)
    • 



Summary:
The meeting was intended to finalize the technical validation plan. John Davis expressed new concerns about the total cost of ownership, asking for "more flexible pricing models" to present to his finance committee next week. This topic was not on the initial agenda. Maria Chen, our primary technical champion, was unusually quiet and did not contribute much to the discussion, even when technical specifics were addressed. John also briefly mentioned that they had a "preliminary conversation" with Apex Solutions about their competing cloud-native platform last week. We concluded the meeting by agreeing for me to send over revised TCO calculations.




Recent CRM Activity Log (Last 14 Days)


    

  • 1 Day Ago: Meeting held with J. Davis and M. Chen.
    • 

  • 3 Days Ago: Email Opened (Subject: Project Fusion - Technical Validation Plan) - No reply received.
    • 

  • 5 Days Ago: AE left voicemail for M. Chen. No call back.
    • 

  • 8 Days Ago: Inbound email from J. Davis requesting meeting.
    • 

  • 12 Days Ago: Email Opened (Subject: Follow-up from our last call) - Clicked 1 link.
    • 





AE Free-Text Note (Dated: Today)


Author: Sarah Miller
Note: I have a bad feeling about this one post-meeting. John's focus has shifted from solution value to cost-cutting, and Maria's silence is concerning. She has been our most vocal advocate, and her disengagement suggests a potential internal shift or blocker. The mention of Apex Solutions is a major red flag. We need to reassess our strategy here quickly.

Deliverable Example

Sample output delivered by the Deal Health Intelligence Agent:

Deal Health Intelligence Report


Opportunity: Project Fusion - Enterprise ERP Implementation
Account: Quantum Dynamics
Opportunity ID: 78-9B4-5C1




Executive Summary


This opportunity is now flagged as AT-RISK. The deal health score has dropped significantly due to a combination of emerging budget concerns, potential competitive threats, and the disengagement of a key technical champion. Immediate, targeted intervention is required to mitigate these risks and regain momentum.


Dynamic Health Score






Current Score
Trend (Last 7 Days)
Status






58 / 100
▼ Decreased 15 pts
AT-RISK








Root Cause Analysis


Based on an analysis of recent activities and communications, the agent has identified three primary risk hypotheses:


    

  1. Economic Buyer Pressure: The VP of Operations has introduced late-stage budget and pricing concerns ("more flexible pricing models"). This indicates a potential disconnect between the perceived value and the proposed cost, or new internal financial pressures at Quantum Dynamics.
    2. 

  2. Competitive Threat: The explicit mention of a competitor ("Apex Solutions") confirms that this is no longer a sole-source evaluation. The timing suggests the competitor is actively being considered as a viable alternative.
    3. 

  3. Champion Disengagement: The primary technical champion (IT Director, Maria Chen) has shown a marked decrease in engagement, evidenced by her silence in a key meeting and unresponsiveness to communications. This is a critical risk, as it may signal a loss of internal support or a shift in technical strategy.
    4. 





Recommended Next-Best Actions


To address the identified risks, the following actions are recommended for the Account Executive, Sarah Miller:






Priority
Action
Target Stakeholder(s)
Rationale






High
Schedule a 1:1 call with the technical champion (Maria Chen).
Maria Chen (IT Director)
Re-engage the champion to understand her perspective and uncover any hidden blockers.




Medium
Prepare and present a value-based TCO analysis and flexible payment options.
John Davis (VP Ops)
Directly address the economic buyer's cost concerns and re-anchor on value.




Medium
Proactively deliver an InnovateCorp vs. Apex Solutions competitive battlecard.
John Davis, Maria Chen
Highlight our key differentiators and address potential FUD from the competitor.








Key Data Points Considered for this Analysis


    

  • Meeting Notes: Mention of "flexible pricing models" and competitor "Apex Solutions".
    • 

  • AE Free-Text Note: AE sentiment analysis indicates high concern regarding champion disengagement and competitive threat.
    • 

  • CRM Activity Log: Shows a 5-day communication lag and lack of response from the technical champion.
    • 

  • Historical Win/Loss Data (Background): Deals with similar late-stage budget concerns and champion disengagement have a 45% lower close rate.
    •

Related Agents

Market Research Intelligence Agent

Harmonizes and analyzes diverse research data to identify trends, relationships, sentiment, and insights.

Market Research Alignment Agent

Aligns stakeholder input with enterprise strategy and market data to produce clear, validated research objectives.

Lead Tracking Orchestration Agent

Automatically schedules, negotiates, and syncs meetings with leads using preferences, availability, and advanced time zone management.

Lead Reactivation Agent

Automatically identifies, prioritizes, and re-engages archived leads with tailored outreach to maximize reconversion opportunities.

Lead Engagement Optimization Agent

Dynamically refines outreach content, timing, and channels for each lead using AI-driven testing and continuous adaptation.

Lead Drop-Off Risk Intelligence Agent

Predicts drop-off risk, automates personalized re-engagement, and escalates high-value leads for timely human intervention.