AI Data Enrichment

Overview

AI data enrichment automatically fills in missing information about your contacts and companies. Instead of manually researching each record, Twenty’s AI can find and populate data like job titles, company size, industry, social profiles, and more.

What Gets Enriched

AI can discover and add:

For Contacts (People)

Job information
- Current job title
- Company name
- Department
- Seniority level
Contact details
- Email addresses
- Phone numbers
- Location/timezone
Social profiles
- LinkedIn URL
- Twitter handle
- GitHub profile
- Other professional networks
Background
- Education
- Previous companies
- Years of experience

For Companies

Company details
- Official name
- Industry/sector
- Company size (employee count)
- Founded year
Location
- Headquarters address
- Country/region
- Office locations
Business information
- Website URL
- Description
- Funding stage
- Revenue range
Online presence
- LinkedIn page
- Twitter account
- Logo URL

How It Works

The enrichment process:

Analyze existing data - AI reviews what you already have
Search intelligently - Queries public data sources
Verify information - Cross-references multiple sources
Populate fields - Updates records with discovered data
Flag uncertainty - Marks low-confidence matches for review

AI enrichment uses publicly available information only. It does not access private databases or paid data providers unless you’ve configured integrations.

Using AI Enrichment

Manual Enrichment

Enrich individual records on demand:

Open a Record

Navigate to a contact or company record you want to enrich.

Click Enrich with AI

In the record header or actions menu, click Enrich with AI (sparkle icon).

Review Suggestions

AI will display suggested data to add:

Green checkmarks indicate high confidence
Yellow warnings indicate uncertain data
You can accept or reject each field

Apply Changes

Click Apply All to add all suggestions, or select individual fields to update.

Verify Results

Review the updated record and make any manual corrections needed.

Bulk Enrichment

Enrich multiple records at once:

Select Records

In a table view, select multiple contacts or companies using checkboxes.

Open Bulk Actions

Click the bulk actions menu at the top of the view.

Choose Enrich with AI

Select Enrich Selected Records.

Configure Options

Choose which fields to enrich:

All empty fields
Specific fields only
Overwrite existing data (optional)

Start Enrichment

Click Start Enrichment. Progress is shown in real-time.

Review Results

Once complete, review records marked for manual review.

Bulk enrichment runs in the background. You can continue working while records are being enriched.

Automatic Enrichment in Workflows

Automate enrichment for new records:

Create a workflow with a “Record Created” trigger
Add an “Enrich with AI” action
Configure which fields to populate
Activate the workflow

Example workflow:

Trigger: New contact created
Condition: Email is not empty
Action: Enrich with AI
  - Find job title
  - Find company
  - Find LinkedIn profile
  - Find location

Now every new contact is automatically enriched when created.

Enrichment Examples

Before and After: Contact

Before enrichment:

Name: Sarah Chen
Email: [email protected]
Company: [empty]
Title: [empty]
LinkedIn: [empty]
Location: [empty]

After enrichment:

Name: Sarah Chen
Email: [email protected]
Company: Acme Corporation
Title: VP of Engineering
LinkedIn: linkedin.com/in/sarahchen
Location: San Francisco, CA
Phone: [not found]

Before and After: Company

Before enrichment:

Name: Acme Corp
Website: acmecorp.com
Industry: [empty]
Size: [empty]
Location: [empty]
Description: [empty]

After enrichment:

Name: Acme Corporation
Website: acmecorp.com
Industry: Enterprise Software
Size: 500-1000 employees
Location: San Francisco, CA, USA
Founded: 2015
Description: Acme Corporation provides cloud-based project
             management solutions for enterprise teams.
LinkedIn: linkedin.com/company/acme-corp
Twitter: @acmecorp

Advanced Features

Enrichment Confidence Scores

Each enriched field has a confidence score:

High (90-100%) - Very likely accurate, auto-applied
Medium (70-89%) - Probably accurate, review recommended
Low (below 70%) - Uncertain, requires manual verification

You can configure auto-apply thresholds in settings.

Field Priority

Specify which fields to enrich first:

Critical fields (email, phone, job title)
Important fields (company, location)
Nice-to-have (social profiles, background)

This helps when enrichment credits are limited.

Source Attribution

Twenty tracks where enriched data came from:

Public LinkedIn profiles
Company websites
Social media profiles
Public databases

View sources in the field history.

Overwrite Protection

By default, enrichment won’t overwrite existing data. Configure this:

Never overwrite - Keep existing values
Overwrite if empty - Only fill blank fields (default)
Always overwrite - Replace with enriched data
Overwrite if newer - Update only if newer information found

Enrichment Strategies

Strategy 1: New Lead Enrichment

Enrich leads immediately when they enter your CRM:

Workflow: New Lead Enrichment
Trigger: Lead created (from form, import, or API)
Actions:
  1. Enrich contact with AI (email, title, location)
  2. If company found, enrich company data
  3. If high-value lead, notify sales rep

Strategy 2: Scheduled Refresh

Keep data fresh with periodic enrichment:

Workflow: Monthly Data Refresh
Trigger: Scheduled (1st of month)
Filter: Active contacts updated >90 days ago
Action: Enrich with AI (job title, company, location)

Strategy 3: Pre-Meeting Research

Enrich contacts before scheduled meetings:

Workflow: Meeting Prep
Trigger: Meeting scheduled (24 hours before)
Actions:
  1. Enrich contact and company with AI
  2. Generate meeting brief
  3. Send summary to meeting owner

Strategy 4: Incomplete Record Cleanup

Find and fix incomplete records:

Workflow: Cleanup Incomplete Records
Trigger: Scheduled (weekly)
Filter: Contacts with missing title OR missing company
Action: Enrich with AI (all fields)

Best Practices

1. Start with High-Value Records

Prioritize enrichment:

Active opportunities
Recent leads
Key accounts
Incomplete records with engagement

2. Verify Critical Data

Always manually verify:

Email addresses before sending
Phone numbers before calling
Job titles in proposals
Company names in contracts

3. Combine with Other Sources

Use AI enrichment alongside:

Form submissions (most accurate)
LinkedIn Sales Navigator
Email signatures
Business cards

4. Monitor Data Quality

Regularly review:

Enrichment accuracy rates
Fields with low confidence
Records needing manual review
Outdated information

5. Set Budget Limits

Control enrichment costs:

Set monthly enrichment caps
Prioritize important records
Use scheduled refreshes sparingly
Monitor AI credit usage

Limitations

What AI Enrichment Cannot Do

Access private data - Only uses public information
Guarantee accuracy - Data may be outdated or incorrect
Find unlisted contacts - Requires some public presence
Enrich every field - Some data may not be available

When Enrichment May Fail

Very common names (e.g., “John Smith”)
Contacts with no online presence
Recently changed jobs
Companies with minimal public information
Non-English names or companies

AI enrichment provides suggestions, not verified facts. Always verify critical information before using it in important communications or decisions.

Configuration

For Cloud Users

Configure enrichment preferences: Settings > AI > Data Enrichment

Auto-enrichment triggers
Confidence thresholds
Fields to enrich
Overwrite settings
Monthly budget

For Self-Hosted Users

Enable data enrichment:

# .env configuration
AI_ENABLED=true
AI_ENRICHMENT_ENABLED=true

# Model configuration
AI_ENRICHMENT_MODEL=gpt-4

# Optional: External enrichment APIs
CLEARBIT_API_KEY=your_key
HUNTER_API_KEY=your_key

Troubleshooting

No Data Found

If enrichment finds nothing:

Verify the contact/company has online presence
Check spelling of names
Provide more initial data (email, website)
Try manual enrichment with different search terms

Incorrect Data

If enriched data is wrong:

Report the issue (helps improve AI)
Manually correct the record
Mark fields as “verified” to prevent overwriting
Adjust confidence threshold

Slow Enrichment

If enrichment is taking too long:

Reduce number of fields to enrich
Enrich smaller batches
Use scheduled workflows for non-urgent enrichment
Check API rate limits

Quota Exceeded

If you hit enrichment limits:

Check usage in Settings > AI > Usage
Prioritize critical records
Increase monthly budget
Wait for quota reset

Privacy and Compliance

Data Sources

AI enrichment uses:

Publicly available information
Website content
Social media profiles
Business directories
Public APIs (if configured)

Enrichment respects privacy:

Uses only public data
Supports right to erasure
Allows opt-out configuration
Logs all enrichment activities

Data Accuracy

You are responsible for:

Verifying enriched data accuracy
Complying with data protection laws
Providing opt-out mechanisms
Maintaining data quality

Before enriching records, ensure you have the legal right to collect and store the data for your business purposes.

Cost Management

Enrichment consumes AI credits based on:

Number of records enriched
Number of fields per record
Model used (GPT-4 vs GPT-3.5)
Complexity of search

Typical costs:

Contact enrichment: ~$0.05-0.10 per record
Company enrichment: ~$0.10-0.20 per record
Bulk enrichment: Volume discounts may apply

Use the “cost preview” feature before bulk enrichment to estimate expenses.

Future Enhancements

Upcoming enrichment features:

Real-time enrichment on page load
Custom enrichment rules
Integration with paid data providers
Technographic data (tech stack)
Intent signals
Predictive scoring

Share Feedback

Have suggestions for data enrichment? Let us know on GitHub.

Overview

Capabilities

​Overview

​What Gets Enriched

​For Contacts (People)

​For Companies

​How It Works

​Using AI Enrichment

​Manual Enrichment

​Bulk Enrichment

​Automatic Enrichment in Workflows

​Enrichment Examples

​Before and After: Contact

​Before and After: Company

​Advanced Features

​Enrichment Confidence Scores

​Field Priority

​Source Attribution

​Overwrite Protection

​Enrichment Strategies

​Strategy 1: New Lead Enrichment

​Strategy 2: Scheduled Refresh

​Strategy 3: Pre-Meeting Research

​Strategy 4: Incomplete Record Cleanup

​Best Practices

​1. Start with High-Value Records

​2. Verify Critical Data

​3. Combine with Other Sources

​4. Monitor Data Quality

​5. Set Budget Limits

​Limitations

​What AI Enrichment Cannot Do

​When Enrichment May Fail

​Configuration

​For Cloud Users

​For Self-Hosted Users

​Troubleshooting

​No Data Found

​Incorrect Data

​Slow Enrichment

​Quota Exceeded

​Privacy and Compliance

​Data Sources

​GDPR Compliance

​Data Accuracy

​Cost Management

​Future Enhancements

Share Feedback

Build docs developers (and LLMs) love

Overview

What Gets Enriched

For Contacts (People)

For Companies

How It Works

Using AI Enrichment

Manual Enrichment

Bulk Enrichment

Automatic Enrichment in Workflows

Enrichment Examples

Before and After: Contact

Before and After: Company

Advanced Features

Enrichment Confidence Scores

Field Priority

Source Attribution

Overwrite Protection

Enrichment Strategies

Strategy 1: New Lead Enrichment

Strategy 2: Scheduled Refresh

Strategy 3: Pre-Meeting Research

Strategy 4: Incomplete Record Cleanup

Best Practices

1. Start with High-Value Records

2. Verify Critical Data

3. Combine with Other Sources

4. Monitor Data Quality

5. Set Budget Limits

Limitations

What AI Enrichment Cannot Do

When Enrichment May Fail

Configuration

For Cloud Users

For Self-Hosted Users

Troubleshooting

No Data Found

Incorrect Data

Slow Enrichment

Quota Exceeded

Privacy and Compliance

Data Sources

GDPR Compliance

Data Accuracy

Cost Management

Future Enhancements