Sales & Service Solutions

Scale Support.
Close More Deals.

Intelligent systems for customer support automation, knowledge retrieval, lead scoring, and personalized engagement at scale.

Operational Challenges

Support Volume

Growing customer bases overwhelm support teams.

Today
Manual handling of all tickets
With AI
Routine queries handled automatically

Knowledge Fragmentation

Product info scattered across wikis and docs.

Today
Agents search multiple systems
With AI
Unified knowledge assistant

Lead Prioritization

Sales wastes time on low-quality leads.

Today
Manual lead qualification
With AI
Intelligent lead scoring

Response Inconsistency

Different agents give different answers.

Today
Response quality variance
With AI
Consistent, grounded responses

Sales & Service Architecture

flowchart TB
    subgraph Channels[Customer Channels]
        Chat[Chat]
        Email[Email]
        Phone[Phone]
    end
    
    subgraph Processing[AI Processing]
        subgraph Routing[Routing]
            Intent[Intent Detection]
            Sentiment[Sentiment]
            Priority[Priority]
        end
        
        subgraph Knowledge[Knowledge]
            Search[Semantic Search]
            Products[Product Data]
        end
        
        subgraph Sales[Sales AI]
            LeadScore[Lead Scoring]
            Signals[Buying Signals]
        end
    end
    
    subgraph Output[Outputs]
        AutoReply[Automated Response]
        Assist[Agent Assistance]
        Escalate[Human Escalation]
        CRM[CRM Updates]
    end
    
    Chat --> Intent
    Email --> Intent
    Phone --> Intent
    
    Intent --> Sentiment --> Priority
    Priority -->|Simple| Search --> AutoReply
    Priority -->|Complex| Assist
    Priority -->|High Value| Escalate
    
    Intent --> LeadScore --> Signals --> CRM
            

Key Use Cases

Customer Support Automation

AI handles routine inquiries 24/7 with accurate, consistent responses grounded in your documentation.

Knowledge 24/7

Agent Knowledge Assistant

Real-time knowledge retrieval for support agents. Instant answers from product docs and previous resolutions.

Search Real-time

Lead Scoring Engine

ML models analyze behavioral signals and engagement patterns to prioritize leads most likely to convert.

ML Scoring Prioritization

Email Response Generation

AI-generated response drafts maintaining brand voice while ensuring accuracy and personalization.

Generation Brand Voice

Sentiment Analysis

Real-time sentiment detection to identify frustrated customers for priority handling and churn prevention.

NLP Alerts

Personalized Recommendations

Context-aware product recommendations based on customer history and real-time conversation context.

Personalization Context-Aware

Target Outcomes

60%
Ticket Deflection
-40%
Response Time
+25%
Lead Conversion
+35%
CSAT Improvement

Target outcomes based on industry benchmarks. Actual results depend on implementation scope.

Scale Your Sales & Service

Let's discuss how AI can help you handle growing customer demand while improving response quality and conversion rates.