AI ASSISTANT

Case Study — AskBŪP

A conversational assistant that answers “who do we know?” with traceable sources and warm paths.

Executive Summary

Challenge: B2B sales teams struggle with slow follow-up, scattered notes, and missed handoffs.
Solution: AskBŪP is a chat-first sales orchestrator that transforms a single line of text into CRM updates, email drafts, meeting scheduling, and invoice creation.
Results: Early pilots with enterprise conferences and nonprofits saw faster lead response times (from days to minutes), boosting close rates.

95%

Accuracy rate

2s

Average response time

70%

Faster decision making

Challenge

Reps spend too much time toggling between CRMs, inboxes, and spreadsheets. They miss the critical “first five minutes” window to follow up with leads.

Key Pain Points:

  • • Scattered data across tools
  • • Slow manual follow-up
  • • Missed handoffs
  • • Lost momentum in early deal stages

Solution

AskBŪP unified workflows into one conversational interface

  • AI drafts contextual emails.
  • CRM entries updated automatically.
  • 72-hour reminders for deal momentum.

Intelligent Search

Natural language queries that understand context and provide relevant relationship insights from across all data sources.

Conversational Interface

Chat-based interface that makes complex relationship data accessible through simple, natural conversations.

Intelligent Relationship Queries

AskBUP uses BŪP Technologies APIs to provide instant, intelligent answers about contacts and relationships.

Natural language processing
Real-time data aggregation
Context-aware responses
Terminal
// AskBŪP integration with BŪP APIs const queryRelationship = async (question) => { const response = await fetch('https://api.bup.ai/v1/ai/query', { method: 'POST', headers: { 'Authorization': 'Bearer YOUR_API_KEY', 'Content-Type': 'application/json' }, body: JSON.stringify({ query: question, context: 'relationship_intelligence', sources: ['crm', 'email', 'calendar', 'messaging'] }) }); return response.json(); }; // Example queries const insights = await queryRelationship( "What's my relationship history with john@company.com?" ); const opportunities = await queryRelationship( "Who are my strongest relationships at Acme Corp?" );

Results

Measured impact

  • Reduced follow-up time from 48 hours to under 5 minutes.
  • Improved demo request conversion rate by 29%.
  • Supported 3 enterprise pilots (Synapse Summit, CDC of Tampa, Century 21 events).

Quantitative Results

  • • 70% faster decision making
  • • 95% accuracy in relationship insights
  • • 2-second average response time
  • • 80% reduction in research time
  • • 60% improvement in meeting preparation

Qualitative Benefits

  • • Instant access to relationship context
  • • Improved meeting preparation
  • • Better relationship insights
  • • Enhanced team collaboration
  • • Smarter business decisions

Ready to try AskBŪP?

Join the beta and turn chat into revenue.