CRM Lead Enrichment & Cold Outreach Engine
AI Automation / CRM / Outreach
A batch workflow that upserts companies and contacts into the CRM, scores email deliverability before anything is sent, and generates personalised first-contact emails for the records that pass.
- Year
- 2026
- Role
- Generative AI Engineer, Tekvix
- Source
- Not public
Technologies
- n8n
- Mautic
- Email Deliverability
- LLMs
- CRM
The problem
Cold outreach fails twice over: on bad data, and on generic copy. Sending to unverified addresses damages domain reputation, and templated mail gets ignored by the addresses that do work.
The solution
Fix the data first, then the message. Companies and contacts are upserted so the CRM stays the single source of truth, deliverability is scored before send, and only surviving records get a personalised email generated from what is actually known about them.
Architecture
How it is put together.
Batch intake
Lead records are processed in batches rather than one at a time.
Upsert
Companies and contacts are created or updated so no duplicate records accumulate.
Deliverability scoring
Each address is scored before it is ever mailed.
Personalised generation
First-contact emails are generated per contact from enriched context.
Key features
What it actually does.
- Batch processing of lead lists
- Company and contact upsert into Mautic
- Pre-send email deliverability scoring
- Per-contact personalised first-contact copy
Engineering challenges
The parts that were hard.
Protecting sender reputation
One bad list can damage a domain for months. Scoring before send is a cheaper insurance than any recovery process.
Personalisation needs real inputs
Generated copy is only as specific as the enrichment behind it — which is why enrichment runs first.
Outcomes
What came out of it.
Qualitative outcomes only — no invented benchmarks or metrics.
CRM records kept clean through upsert rather than duplication
Undeliverable addresses filtered before sending
Outreach personalised per contact at batch scale
Next project
Weekly Agent Performance Reporting
Scheduled ETL that pulls paginated activity data and posts a formatted Slack report.
Let’s build
Want something like this for your business?
Tell me the problem and I will come back with an architecture, a scope and a timeline.