Automatically pull contacts from HubSpot, Pipedrive, and Salesforce, deduplicate with AI, consolidate into Google Sheets, and notify your team on completion.
This AI agent consolidates contact records from multiple CRMs into a single Google Sheets master database. It uses OpenAI-powered deduplication and quality scoring to merge similar contacts and improve data integrity. It generates comprehensive quality reports and sends Slack alerts when syncs finish or issues arise.
Performs end-to-end CRM data consolidation, deduplication, and quality reporting.
Ingests data from HubSpot, Pipedrive, and Salesforce via API.
Maps CRM fields to a unified Master_CRM_Data schema.
Detects and merges duplicate contacts using AI-driven matching.
Calculates data quality scores for each record.
Updates Google Sheets with the master dataset and quality reports.
Notifies the team via Slack on completion and any errors.
Before, teams spend manual time reconciling records across HubSpot, Pipedrive, and Salesforce with inconsistent data. After, you have a single, deduplicated master dataset with clear quality insights and automated notifications.
A simple 3-step flow that is easy to understand and operate.
Authenticate with HubSpot, Pipedrive, and Salesforce, then fetch the latest contacts and map fields to the Master_CRM_Data schema.
Apply AI-driven deduplication, assign data quality scores, and merge duplicates according to predefined rules.
Write updates to Google Sheets master and Quality_Reports, then send a Slack notification on completion or errors.
One realistic scenario.
At 09:00 UTC daily, the AI agent connects to HubSpot, Pipedrive, and Salesforce, pulling 120 new or updated contacts. It deduplicates and merges matches, updates Master_CRM_Data and Quality_Reports in Google Sheets, and posts a completion summary to Slack for the data team.
One supporting sentence.
Needs a single source of truth to drive pipeline and forecasting across multiple CRMs.
Requires consistent, auditable data quality without manual cleanup.
Wants automated deduplication to reduce duplicate outreach and improve targeting.
Maintains data schemas and permissions across tools with minimal supervision.
Needs governance-ready data and clear quality metrics for reporting.
Requires a clean master dataset during CRM migrations or consolidations.
One supporting sentence with short explanation.
Stores Master_CRM_Data and Quality_Reports; reads and writes structured data.
Pulls contact data and metadata; maps fields to the master schema.
Pulls contact data and metadata; maps fields to the master schema.
Pulls contact data and metadata; maps fields to the master schema.
Performs AI-based deduplication and quality scoring of records.
Sends completion and error notifications to the channel.
One supporting sentence with short explanation.
One supporting sentence with short explanation.
The AI agent synchronizes contact records from HubSpot, Pipedrive, and Salesforce into a Google Sheets master dataset called Master_CRM_Data. It also updates Quality_Reports with metrics about data quality and deduplication actions. Only fields mapped in the configuration are moved and stored, and sensitive credentials are stored securely. The process can be scheduled daily or triggered via webhook for on-demand runs. Access is restricted to authorized users, and logs are preserved for auditing.
OpenAI is used for AI-based deduplication and quality scoring. If OpenAI access is unavailable, the agent can fall back to deterministic, rule-based deduplication with configurable keys. This ensures you still benefit from consolidation, though AI-driven accuracy may be reduced. You can enable or disable AI features in configuration. Security and usage limits are managed per your API setup.
Deduplication uses a combination of field matches (such as email, name, phone) and probabilistic scoring to identify likely duplicates. A merge policy determines which record wins and which fields are preserved. Quality scores reflect data completeness and consistency. You can adjust matching keys and thresholds in Configuration Center to tailor behavior.
Yes. The Configuration Center lets you define deduplication keys, matching logic, and quality score thresholds. You can tune batch size, scheduling, and retry behavior. Changes take effect on the next run. This allows you to adapt the agent to evolving data sources and governance rules.
If a credential fails, the agent logs the error and continues with other records. The Quality_Reports tab records failed items and reasons. Slack notifications alert you to issues, with actionable guidance to re-authenticate. You can retry failed batches on demand from the dashboard.
The agent supports daily scheduling or on-demand runs via webhook. You can change frequency in the Configuration Center. Runs are isolated by batch, so a failure in one batch does not block others. This enables near real-time data updates without manual intervention.
Data is stored in Google Sheets with access restricted to authorized users. API keys and credentials are held in secure vaults and not exposed in logs. The agent adheres to best practices for encryption in transit and at rest, plus role-based access controls for governed data handling.
Automatically pull contacts from HubSpot, Pipedrive, and Salesforce, deduplicate with AI, consolidate into Google Sheets, and notify your team on completion.
