Capture leads via webhook, analyze with AI, score in real time, route to the right team, notify via Slack, and store all data in Airtable—end-to-end automation from capture to follow-up.
The AI Agent automatically captures incoming leads from any source and stores them in Airtable. It uses OpenAI to analyze context, generate a 0-100 qualification score with reasoning, and determine routing. Hot leads are routed to sales instantly with Slack alerts, while other leads are nurtured automatically and logged for tracking.
Automates the core lead workflow with AI-assisted decisioning.
Capture incoming leads via webhook.
Analyze lead data with OpenAI to determine qualification.
Score each lead from 0 to 100 with explicit reasoning.
Route hot leads (score 70+) to sales and others to nurture.
Notify Slack with full lead context for high-priority prospects.
Store structured results and timestamps in Airtable.
Before: manual lead qualification, manual scoring, manual routing decisions, manual follow-up emails, and manual CRM data entry. After: automatic lead capture, AI-driven scoring, automatic routing, personalized outreach, and structured Airtable storage.
A simple 3-step flow that non-technical users can understand.
Leads arrive via webhook, are parsed, and written to Airtable with a timestamp.
OpenAI analyzes budget, timeline, message quality, and fit to produce a 0-100 score with reasoning.
Based on the score, the AI agent routes to Sales or Nurture and posts a Slack notification with full context.
One realistic scenario.
A visitor submits a pricing inquiry with an estimated budget of $20k and a 2-month timeline. The AI Agent captures the lead via webhook, analyzes the data, and returns a score of 82 with notes on fit and concerns. It routes the lead to Sales for immediate follow-up and posts a Slack alert with full context; Airtable is updated with the score, timestamp, and routing decision. The sales rep is notified within seconds and reaches out within minutes.
One supporting sentence.
Receive hot leads instantly for faster conversions.
Monitor routing accuracy and pipeline quality in real time.
Identify high-intent leads to optimize campaigns.
Route partnership leads efficiently to the right owners.
Ensure data cleanliness and auditable lead trails.
Re-engage nurtured leads with tailored content at scale.
One supporting sentence with short explanation.
Analyzes lead data and generates the 0-100 score with reasoning.
Delivers real-time alerts with full context for high-priority leads.
Stores structured lead data, scores, timestamps, and routing decisions.
Captures leads from forms, landing pages, and APIs.
One supporting sentence with short explanation.
Common questions and practical concerns.
In most cases, the AI agent runs the analysis and returns a score within a few seconds. Routing decisions are applied immediately after scoring. Slack alerts, if enabled, arrive in real time. All data is written to Airtable with a timestamp for traceability. If OpenAI services are temporarily unavailable, the system can fall back to a cached or default routing rule until connectivity is restored.
Yes. You can customize the scoring prompts, the fields used for scoring, and the threshold that triggers direct sales routing. Thresholds can be tuned over time based on observed outcomes. Changes are reflected in future lead analyses without downtime. We recommend testing changes with a small sample before broad rollout.
Leads can be captured from any webhook-enabled source, including forms, landing pages, and API connections. The AI agent normalizes incoming data into Airtable fields for consistency. You can add or remove sources without affecting the core scoring and routing logic. All captures are timestamped for auditability.
Slack is optional. If you don’t use Slack, we can route hot leads to email or another notification channel. The underlying lead scoring and routing logic remains the same. Alerts still include full context so reps can act quickly once a channel is available. This keeps you flexible while preserving speed.
Nurtured leads are stored in Airtable with their scoring history and routing status. You can set up automated follow-up sequences based on score or timing. Nurture records stay accessible for re-engagement campaigns and audits. You can export or sync these records to your CRM if needed.
Yes. Airtable serves as the central data store, and you can export data or push updates to your CRM via API integrations. The agent’s data model is designed to map to common CRM fields like contact, account, score, and routing status. You can automate exports on a schedule or trigger-based events. This keeps your core systems synchronized without manual data entry.
Data access is controlled by your workspace permissions and integration credentials. All webhook data, AI responses, and Airtable records respect those permissions. We recommend enabling least-privilege access and auditing changes regularly. If your organization has strict compliance needs, you can enable additional logging and data-retention rules. You control who can view, edit, or export data at each stage of the flow.
Capture leads via webhook, analyze with AI, score in real time, route to the right team, notify via Slack, and store all data in Airtable—end-to-end automation from capture to follow-up.
