Tags and Actions

Bring order to your DarcyIQ content with intelligent tagging that automatically categorizes meetings, reports, workflows, and more using AI, while seamlessly integrating with Salesforce to identify customers and maintain perfect organization across your entire workspace.

Set It and Forget It: The AutoTag Agent automatically tags all your content using AI, ensuring everything is organized without any manual effort.

Intelligent organization that scales with your business

Overview

Tags transform DarcyIQ from a collection of content into an intelligently organized knowledge system that grows more valuable over time.

Feature	Capability	Business Impact
AutoTag Agent	AI-powered automatic tagging	100% content organization coverage
Salesforce Sync	Automatic customer identification	Perfect customer attribution
Custom Taxonomies	Create your own tag structures	Align with business processes
Cross-Feature Search	Find anything by tag	10x faster content discovery
Smart Suggestions	AI-recommended tags	Consistent categorization

Tag System Architecture

Tag Types

DarcyIQ supports multiple tag categories for comprehensive organization:

Tag Category	Description	Examples
Customer	Client/prospect identification	"Customer = Acme Corp"
Project	Project association	"Project = Cloud Migration"
Department	Internal organization	"Department = Sales"
Topic	Subject matter classification	"Topic = Security"
Status	Current state tracking	"Status = In Progress"
Priority	Urgency level	"Priority = High"
Custom	User-defined categories	"Region = EMEA"

Tag Structure

Tags follow a flexible key-value structure:

[Category] = [Value]

Examples:

• Customer = Microsoft

• Project = Q4 Launch

• Topic = AWS Architecture

• Priority = Critical

AutoTag Agent

Intelligent Automation

The AutoTag Agent uses advanced AI to automatically categorize your content:

1

Content Analysis AI analyzes text, context, and metadata to understand content meaning.

2

Pattern Recognition Identifies patterns in language, participants, and topics.

3

Tag Generation Automatically creates and applies relevant tags based on analysis.

4

Continuous Learning Improves accuracy over time by learning from your corrections and patterns.

5

Batch Processing Retroactively tags existing content for complete organization.

AutoTag Capabilities

Capability	How It Works	Example
Customer Detection	Identifies company names and associates content	Meeting with "John from Acme" → Customer = Acme Corp
Topic Extraction	Recognizes discussion themes and subjects	Discussion about cloud costs → Topic = Cost Optimization
Project Linking	Connects content to existing projects	Mentions "Project Atlas" → Project = Atlas Migration
Urgency Analysis	Detects priority signals in language	"Critical deadline Friday" → Priority = High
Department Routing	Identifies relevant teams from context	Technical discussion → Department = Engineering

Manual Tagging

Tag Management Interface

Comprehensive tag management capabilities:

Feature	Description	Benefit
Tag Browser	Visual tag hierarchy	Easy navigation
Tag Search	Find all items with specific tags	Quick filtering
Tag Delete	Remove unused tags	Reduce clutter

Cross-Feature Integration

Tags work seamlessly across all DarcyIQ features:

Meeting Integration

Tag Application	Timing	Benefit
Pre-Meeting	Tag during scheduling	Proper categorization
During Meeting	AutoTag from transcript	Real-time organization
Post-Meeting	Manual refinement	Accuracy improvement

Workflow Integration

Tag Application	Function	Value
Input Tagging	Tag source documents	Maintain context
Process Tagging	Tag workflow execution	Track automation
Output Tagging	Tag generated content	Organize deliverables

Report Integration

Tag Application	Purpose	Result
Research Tags	Categorize company research	Competitive intelligence
Analysis Tags	Group analytical reports	Insight management
Distribution Tags	Track report sharing	Audience understanding

Best Practices

Tag Strategy

1. Consistent Naming: Establish naming conventions early

2. Hierarchical Structure: Use parent-child relationships

3. Limited Categories: Focus on 5-7 main tag types

4. Regular Review: Audit and clean tags monthly

5. Team Training: Ensure everyone understands the system

Optimization Tips

Area	Best Practice	Result
Granularity	Balance specific and general tags	Effective filtering
Automation	Let AutoTag do heavy lifting	Time savings
Integration	Connect to source systems	Automatic accuracy
Governance	Assign tag management owner	Maintained quality

Common Tag Taxonomies

Sales Organization

Customer = [Account Name]
Stage = [Prospecting/Qualified/Proposal/Negotiation/Closed]
Value = [<100k/100-500k/500k-1M/>1M]
Product = [Product Line]
Region = [Geographic Region]

Consulting Firm

Client = [Client Name]
Project = [Project Code]
Phase = [Discovery/Design/Implementation/Support]
Practice = [Cloud/Security/Data/AI]
Deliverable = [Proposal/Architecture/Report/Presentation]

Internal Operations

Department = [Department Name]
Initiative = [Strategic Initiative]
Quarter = [Q1/Q2/Q3/Q4]
Budget = [Budget Code]
Compliance = [SOC2/GDPR/HIPAA]

Pro Tip: Start with AutoTag and Salesforce integration, then gradually add custom tags as patterns emerge. This ensures organic growth of your taxonomy aligned with actual usage.