Delivered outcome · production evidence

AI sales automation rebuilt for reliability — 80+ qualified leads a day

The v1 AI outbound pipeline broke on bad data, API failures, missing logs, and silent workflow crashes.

Delivered outcomeScaled from 30-50 to 80+ leads/day, cut invalid records reaching AI to 0%, detected failures in under 30 seconds, and reduced weekly ops overhead to under 20 minutes.

What Zenveus built

The work behind the result.

Production n8n pipeline with field validation, GPT retries and fallbacks, AI output validation, execution logs, and error alerts.

WORKSTREAM / 01

Validated lead intake and enrichment

Added field-level validation and enrichment gates before records entered the AI workflow, preventing incomplete or malformed data from contaminating downstream steps.

WORKSTREAM / 02

Reliable AI generation

Wrapped GPT-generated outreach with output validation, retries, and deterministic fallbacks so transient model or API failures did not stop the pipeline.

WORKSTREAM / 03

Observable revenue operations

Implemented execution logs, error workflows, and rapid alerts across n8n, Google Sheets, Gmail, and RSS sources so failures could be identified and recovered quickly.

Implementation stackCapabilities used in delivery
n8nGoogle SheetsGmailGPT-4o-miniRSS enrichmentvalidation gatesretry logicfallback logicexecution loggingerror workflows.

Engineering takeaway

Production AI automation needs validation, retries, fallbacks, logs, and alerting around the model.

Bring us the constraint

Build the evidence your product needs next.

We can audit, harden, take over, or build the system — with a defined outcome and a production handoff.

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