Automate real-time contact enrichment and Slack alerts from HubSpot.
The AI agent monitors HubSpot for new contacts, enriches them with Lusha data (phone, title, company), and validates the results. It writes enriched fields back to HubSpot to keep records current. If a lead meets configured seniority criteria, it notifies reps in Slack for immediate follow-up.
Enriches new HubSpot contacts with Lusha data and notifies reps in Slack based on seniority.
Detects new HubSpot contact creation and triggers the enrichment workflow.
Validates the contact’s email to ensure enrichment is meaningful.
Fetches enrichment data from Lusha for the contact (phone, title, company).
Performs a data quality check to confirm Lusha returns meaningful data.
Writes enriched fields back to HubSpot to update the contact record.
Notifies Slack channels when seniority thresholds are met for high-potential leads.
Automates the full enrichment flow and alerting, reducing manual data gathering and missed follow-ups. Before, teams faced incomplete contact data and delayed outreach; after, records are complete, reliable, and high-signal leads are surfaced instantly.
A simple 3-step flow for non-technical users.
The AI agent watches HubSpot for a newly created contact and starts the enrichment sequence.
If the contact has a valid email, the AI agent calls Lusha to fetch phone, title, and company data, then runs a data-quality check.
The enriched fields are written back to HubSpot; if seniority meets configured thresholds, a Slack alert is posted to the relevant channel.
A realistic scenario showing time-to-value and outcomes.
At 9:03 AM, a new contact named Alex Smith is created in HubSpot with email alex.smith@example.com. The AI agent validates the email, enriches it via Lusha to return a phone number, job title, and company, and performs a data-quality check. The enriched fields are written back to HubSpot, and since Alex Smith holds a Director title, a Slack alert is posted to the SDR channel with Alex's contact details and recommended next steps.
Roles that gain value from automated enrichment and alerts.
Receive ready-to-contact leads with validated contact data.
Identify high-potential leads quickly with surfaced seniority.
Maintain data quality and consistency automatically.
Improve segmentation with richer firmographic data.
Reduce manual data entry and keep HubSpot current.
Leverage accurate contact data to guide outreach and onboarding.
Works with HubSpot, Lusha, and Slack to automate enrichment and alerts.
Read new contact events and write enriched fields back to the CRM
Provide contact-level data (phone, title, company) for enrichment and quality checks
Deliver high-priority alerts to reps with key contact details
Practical scenarios to apply this AI agent.
Common questions about the AI agent and its operation.
Enrichment typically occurs within seconds to a minute after HubSpot detects a new contact. The workflow validates the email, calls Lusha for data, and performs a quality check before updating CRM fields. If data is incomplete, the system logs the issue and may retry. Slack alerts are conditioned on configured seniority rules, ensuring only the right alerts are sent.
The agent enriches each contact with phone, job title, and company information from Lusha. It can also capture firmographic details as available and maps them back to standard HubSpot properties. Data quality checks ensure that fields have meaningful values before saving. If a field is missing, the record is stored with the available data and flagged for review if necessary.
If Lusha returns partial data or no data, the AI agent logs the result and saves whatever is available. The record may still be updated with any validated fields, but Slack alerts are suppressed unless seniority criteria are met. You can adjust thresholds during setup to control alert behavior. Retriable errors trigger retries, and persistent failures surface in the dashboard for review.
Yes. Seniority levels are configurable in the setup. You can define which roles or titles qualify for Slack alerts and adjust thresholds to balance alert volume with lead quality. Changes apply to all future contacts and can be updated at any time. This allows teams to tune signals based on market, territory, or campaign.
The AI agent uses OAuth2 for authentication with HubSpot and Lusha, with tokens scoped to necessary permissions only. Data is transmitted over secure channels and stored in HubSpot with existing access controls. Audit logs capture actions like enrichment, updates, and Slack notifications. You can enforce additional security policies at the org level as needed.
The agent maps enriched data to standard HubSpot properties and supports custom mappings where available. If a property isn't present, you can create a corresponding custom field and map it in setup. Updates are performed transactionally to maintain record integrity. You can review mappings in the setup panel and adjust as needed.
Temporary integration failures are retried automatically according to a configurable policy. If retries exhaust, the system logs the incident and notifies admins. The agent keeps partial results where possible and queues the rest for retry. Regular health checks help ensure minimal downtime and quick remediation.
Automate real-time contact enrichment and Slack alerts from HubSpot.
