Redbird AI syncs support tickets, customer interactions, and agent performance data into your warehouse automatically. Stop exporting CSVs, writing one-off ETL scripts, or waiting on engineers to surface support insights alongside your customer data.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically stream support tickets, customer messages, and resolution data into BigQuery tables. Join support interaction history with product usage, billing, and CRM data to understand the complete customer experience. Update incrementally so your warehouse always reflects current ticket status.
When a support ticket is created, query BigQuery for customer lifetime value, subscription tier, feature adoption scores, and recent product activity. Write enrichment data to custom ticket fields so agents prioritize high-value customers and have context before responding.
Aggregate ticket volume, resolution time, CSAT scores, and agent productivity metrics in BigQuery. Create automated dashboards showing support trends alongside revenue and usage data. Deliver reports to Slack or email without manual export and analysis work.
Monitor Freshdesk for new tickets and cross-reference customer segments defined in BigQuery. Trigger immediate notifications when enterprise customers, at-risk accounts, or expansion opportunities contact support so managers can oversee critical interactions.
Capture complete ticket history, attachments, internal notes, and resolution details in BigQuery on ticket closure. Maintain long-term compliance records and historical support data without Freshdesk storage limits. Enable analysis of support patterns over multi-year periods.
Run churn risk models in BigQuery and identify customers showing warning signals. Automatically update ticket priority and assignment rules in Freshdesk when at-risk customers contact support. Ensure retention-critical issues get immediate attention from senior agents.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and Freshdesk with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands both BigQuery's table schemas and Freshdesk's ticket, contact, and conversation structures — no custom mapping or field translation required.
Redbird's AI maps Freshdesk ticket fields, custom properties, agent assignments, and conversation threads to BigQuery tables automatically. It handles incremental syncs for ticket updates, manages foreign key relationships between tickets and contacts, and transforms nested JSON from Freshdesk APIs into queryable columns. The system recognizes when support metrics should join with customer dimension tables and suggests optimal partitioning strategies for ticket timestamp fields.
faster than building custom ETL pipelines to sync Freshdesk into BigQuery
Redbird can pull from BigQuery and Freshdesk simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either BigQuery or Freshdesk.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from BigQuery into Freshdesk, or from Freshdesk back into BigQuery. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from warehouse queries or support events and take action in either system instantly.
Trigger workflows when a scheduled or on-demand BigQuery query returns matching rows.
Detect when specific BigQuery tables receive new rows or schema changes.
Fire when aggregated metrics for a customer cohort exceed defined thresholds in BigQuery.
Write Freshdesk ticket data, agent metrics, or enriched support records into BigQuery tables.
Execute BigQuery SQL with dynamic parameters from Freshdesk ticket fields to fetch customer context.
Refresh BigQuery materialized views containing support KPIs when new Freshdesk data arrives.
Start workflows when customers submit support requests through any Freshdesk channel.
Trigger actions when tickets move between open, pending, resolved, or closed states.
Respond when customers submit satisfaction scores after ticket resolution.
Write BigQuery-sourced customer data into Freshdesk custom fields for agent context.
Adjust ticket priority levels based on customer value or risk signals from BigQuery.
Append internal notes to tickets with analytics insights or account history from BigQuery.
Join support teams that sync Freshdesk data into BigQuery and enrich tickets with warehouse intelligence — without engineering bottlenecks or brittle ETL pipelines.