Automate pulling deal data, AI-driven analysis, and structured reporting in one end-to-end AI agent.
Monitors Google Sheets for deal data, analyzes win/loss reasons with Azure OpenAI, and categorizes patterns. Stores enriched insights back in Sheets for traceability. Generates a polished HTML weekly digest and distributes it to stakeholders.
Per-deal AI analysis with structured outputs and weekly reporting.
Pulls deal outcomes from Google Sheets
Analyzes win/loss reasons using Azure OpenAI
Extracts top themes and patterns per deal
Creates structured JSON insights for reporting
Stores enriched insights in a dedicated Google Sheet
Generates and emails a weekly HTML digest
This AI agent replaces fragmented manual work with a predictable execution flow.
A simple 3-step flow that non-technical users can follow.
Connect to Google Sheets, fetch all deals, and clean/normalize fields for AI analysis.
Run each deal through the AI model to classify win/loss reasons and extract patterns.
Write enriched insights back to Sheets, generate an HTML digest, and email it to recipients.
A realistic scenario showing end-to-end processing.
On Monday, 200 deals are pulled from Google Sheets, data is cleaned, the AI analyzes each deal, results are stored back in Sheets, and an HTML digest is emailed to 12 stakeholders within 15 minutes.
Key roles that gain from automated deal analytics.
Need a clear view of why deals are won or lost to coach teams effectively.
Require reliable data quality and automated pipelines for reporting.
Learn from objections and success drivers to improve offerings.
Need a consolidated view of deal drivers to inform strategy.
Turn unstructured feedback into scalable, repeatable insights.
Manage integrations and maintain a clean data pipeline.
Core tools that power the AI agent’s workflow.
Fetch deal data and store enriched insights.
Analyze win/loss reasons and extract patterns.
Orchestrate data flow, looping, and automation steps.
Generate and deliver the HTML digest to stakeholders.
Concrete scenarios where this AI agent shines.
Common questions with practical answers.
It pulls deal outcomes from Google Sheets and analyzes them with Azure OpenAI. The workflow orchestrates data extraction, AI processing, and result storage, ensuring consistency across reports. All outputs are structured and tied back to the original deal records.
Azure OpenAI is the recommended model provider for analysis in this workflow. If you use a different compatible model, ensure it supports the required sentiment and classification capabilities. The agent can adapt to other providers with minimal configuration.
Data security relies on your Google Workspace permissions and access controls. The AI agent runs within your infrastructure (via n8n) without exposing data externally. Sensitive fields should be restricted to authorized users, and access can be audited.
The digest is generated on a weekly cadence after the AI completes analysis for all new or updated deals. Scheduling can be adjusted to fit your team's review cycle.
Yes. You can tailor the classification prompts to your domain, ensuring categories reflect your business terminology. Post-processing rules map AI outputs to your preferred taxonomy for consistency.
The workflow includes an email node for sending the HTML digest. It supports standard SMTP and popular mail services; you can configure recipients and schedules to suit your governance.
Ambiguities are handled with confidence scoring and fallback rules. If needed, results are flagged for human review, and the original deal data remains intact for auditability.
Automate pulling deal data, AI-driven analysis, and structured reporting in one end-to-end AI agent.
