The Challenge
Artifact AI faced significant operational friction in their inbound lead management process. When new contacts arrived manually into HubSpot—whether from business development activities, partnerships, or referrals—the sales team lacked immediate access to enriched data necessary for meaningful engagement. This meant contacts entered the CRM with incomplete information, forcing sales representatives to manually research prospects before initiating outreach, creating delays in response times and reducing conversion rates.
The company required a sophisticated reactive enrichment system that could automatically detect new HubSpot contacts, route them through their Clay enrichment processes, and intelligently update CRM records without overwriting manually curated data. Additionally, Artifact AI needed robust deduplication logic to prevent the creation of duplicate records across both contact and company levels, as their team operated across multiple lead sources including email, LinkedIn profiles, and domain-based matching.
Beyond enrichment, the business lacked visibility into their data processing activities. Without operational logging for execution runs, the team couldn't track cohort performance, analyse enrichment quality over time, or troubleshoot failed processes. This gap prevented data-driven decision-making around lead quality and campaign effectiveness, limiting the organisation's ability to optimise their inbound strategy.
Project Objectives
The engagement focused on delivering four critical outcomes for Artifact AI's revenue operations: automated reactive enrichment through webhook-triggered workflows that capture newly created HubSpot contacts in real-time and route them to Clay for comprehensive data enrichment; intelligent deduplication across both contacts and companies using sophisticated matching logic; cohort tracking infrastructure within Clay to capture execution metadata enabling performance analysis; and scheduled automation with error handling, retry mechanisms, and notification systems to alert the team of exceptions requiring manual intervention.
- Implement a webhook-triggered workflow that captures newly created HubSpot contacts in real-time, routes them to Clay for comprehensive data enrichment, and synchronises enriched information back to HubSpot whilst preserving existing field values to prevent data loss
- Deploy sophisticated matching logic across both contacts and companies, searching by email, LinkedIn profile URLs, domain, and LinkedIn company URLs to eliminate duplicate records before creation and maintain database integrity across multiple lead sources
- Build a comprehensive logging system within Clay to capture execution metadata including cohort month, execution dates, source query information, company counts, contact counts, and operational notes, enabling performance analysis and troubleshooting capabilities
- Configure regular execution schedules with retry mechanisms for failed enrichment processes, supplemented by notification systems to alert the team of exceptions requiring manual intervention
Our Approach
We implemented a multi-workflow architecture using n8n as the core automation platform, dividing the solution into four specialised workflows that addressed distinct aspects of the enrichment and tracking requirements. This modular approach provided resilience, easier maintenance, and the flexibility to scale individual components independently as Artifact AI's data volumes grew.
The ArtifactAI Inbound - Hubspot Webhook workflow served as the primary reactive enrichment engine. We configured HubSpot webhooks to trigger immediately upon manual contact creation, capturing contact details and routing them to Clay via API integration. The workflow implemented intelligent field update logic that compared existing HubSpot field values against enriched data from Airtable, updating only empty fields to prevent overwriting manually entered information. This protected the sales team's curated data whilst ensuring comprehensive enrichment for new records. Execution metrics were tracked throughout the process, providing visibility into enrichment success rates.
The ArtifactAI Outbound - Airtable -> Hubspot workflow delivered the deduplication capabilities specified in the scope of works. We built comprehensive search logic that queried HubSpot for existing companies and contacts using multiple identifiers: email addresses, LinkedIn profile URLs, domains, and LinkedIn company URLs. The workflow created new records only when no matches existed, assigned ownership appropriately, removed duplicate company associations, and sent detailed execution summaries to Clay webhooks for cohort tracking purposes.
To support cohort tracking infrastructure, we deployed the ArtifactAI Outbound - Clay Webhook and ArtifactAI Intake Flow - Airtable > Hubspot workflows. These captured enriched lead data from Clay, synchronised it to Airtable for operational tracking, and managed contact-company associations with cohort metadata including country, month, and normalised company names. This provided the operational logging framework required for analysing enrichment runs over time.
Technical Stack
The solution was built on n8n as the core workflow automation platform, providing the flexibility and integration capabilities required for complex data routing and transformation logic. n8n orchestrated all interactions between systems, managed scheduling, implemented error handling, and executed the business logic underlying deduplication and field mapping rules.
HubSpot served as the central CRM, with webhook triggers detecting newly created contacts and API integrations enabling sophisticated contact and company searches, record creation, field updates, and association management. We leveraged HubSpot's search capabilities to implement the multi-identifier deduplication logic across email, LinkedIn URLs, and domains.
Clay provided the enrichment engine, receiving contact data from n8n workflows and returning comprehensive firmographic, contact, and company intelligence. Clay's API integration enabled bidirectional data flow, supporting both enrichment requests and cohort tracking data capture through webhook receivers configured within Clay workbooks.
Airtable functioned as the operational data layer and cohort tracking database. It received enriched contact data from Clay webhooks, stored execution metadata including company counts, contact counts, cohort months, and execution dates, and served as the source for the intake flow that synchronised enriched data back to HubSpot. This provided a flexible, queryable repository for operational analytics.
Slack integration delivered real-time notifications for workflow execution events, enabling the Artifact AI team to monitor enrichment processes, receive alerts for failed runs, and maintain visibility into data processing activities without requiring direct access to the n8n platform.
Technologies Used:
- n8n
- HubSpot
- HubSpot API
- HubSpot Webhooks
- Clay
- Clay API
- Airtable
- Slack
Final Output & Results
We delivered a fully operational reactive enrichment ecosystem comprising four integrated n8n workflows that collectively addressed all scope of works deliverables. The ArtifactAI Inbound - Hubspot Webhook workflow now automatically captures new HubSpot contacts within seconds of creation, routes them through Clay enrichment processes, and intelligently updates CRM fields whilst preserving manually curated data—eliminating the manual research burden that previously delayed sales engagement.
The ArtifactAI Outbound - Airtable -> Hubspot workflow enforces data quality through comprehensive deduplication logic, searching for existing records across email, LinkedIn profiles, domains, and company URLs before creating new contacts or companies. This prevents the duplicate record proliferation that previously fragmented customer data across the CRM, ensuring sales teams work from a single source of truth.
Cohort tracking infrastructure provided by the ArtifactAI Outbound - Clay Webhook and ArtifactAI Intake Flow - Airtable > Hubspot workflows captures execution metadata including cohort months, execution dates, company counts, and contact counts within Airtable. This operational logging enables Artifact AI to analyse enrichment quality over time, identify patterns in lead sources, and make data-driven decisions about their inbound strategy. The team now possesses visibility into their data processing activities that was previously impossible, with queryable records of every enrichment run.
The solution transformed Artifact AI's inbound operations from a manual, time-consuming process into an automated system that enriches contacts within minutes of CRM entry. Sales representatives now engage prospects with complete firmographic intelligence immediately available, reducing time-to-first-contact and enabling more personalised outreach. The modular architecture provides resilience and scalability, with each workflow independently maintainable and capable of handling increased data volumes as Artifact AI's lead generation activities expand. Through comprehensive deduplication, intelligent field mapping, and operational tracking, we delivered not merely automation, but a data quality framework that positions Artifact AI for sustainable revenue growth.
Key Metrics:
- Time Saved: Contacts enriched within minutes of CRM entry, eliminating manual research burden
- Efficiency Gain: Reduced time-to-first-contact with immediate access to complete firmographic intelligence
