UBC Playbook
From Data to Intelligence
A step-by-step guide to implementing AI-powered business intelligence in HubSpot. Configure AI properties, enable Breeze features, and build intelligent workflows.
4
Parts
12
Sections
3-5
Hours
Before You Build
Assess AI readiness and identify high-value use cases.
Data Quality Assessment
AI is only as good as your data. Audit completeness and consistency.
Use Case Prioritization
Identify where AI context will have highest impact.
Feature Inventory
Review available Breeze AI features in your HubSpot tier.
AI Prerequisite
UBC requires UCV foundation. AI without unified data produces noise, not intelligence.
AI Property Configuration
Configure AI-powered fields that automatically generate insights.
AI Summary Fields
Configure properties that automatically summarize record activity and history.
AI Scoring Fields
Set up AI-powered scoring for lead quality, deal health, and customer fit.
AI Enrichment
Enable automatic data enrichment from AI analysis of interactions.
AI Properties Active
Records now automatically gain AI-generated intelligence.
Intelligent Workflows
Build automation that uses AI to make smarter decisions.
AI-Powered Routing
Route leads and tickets based on AI analysis, not just static rules.
Proactive Alerts
Get notified when AI detects patterns requiring attention.
AI-Enhanced Sequences
Personalize outreach using AI-generated insights about each contact.
Intelligence Automated
AI now actively surfaces insights and takes intelligent action.
Validation & Iteration
Measure AI effectiveness and continuously improve.
Foundation Validation
AI properties generating useful summaries. Teams finding value in automated insights.
Capability Validation
Intelligent routing improves outcomes. Teams rely on AI-surfaced context.
Multiplication Indicators
AI predictions become more accurate over time. System learns from outcomes.
Common Pitfalls
Mistakes that undermine AI effectiveness.
AI on Bad Data
Enabling AI before cleaning up data quality issues.
Feature Overload
Enabling every AI feature at once.
No Feedback Loop
Not training the system based on what's useful.
Ignoring Context
Generic AI prompts that don't include your business specifics.
Realistic Timeline
Week 1: Assessment
Complete Part 1. Data quality audit, use case prioritization.
Week 2: AI Properties
Complete Part 2. Configure summaries, scores, and enrichment.
Weeks 3-4: Intelligent Workflows
Complete Part 3. Build AI-powered routing and alerts.
Week 5+: Iteration
Complete Part 4. Measure, learn, and continuously improve.
Ready to Build Intelligence?
The interactive playbook guides you through every AI configuration with templates, prompts, and validation tests.
More presentations
The full set of concept decks, in one place.