Some of the work on this page is covered by a non-disclosure agreement with Smoothops Consulting and their end clients. Client names, specific data structures, and business details are not disclosed. This is not just a legal requirement. It reflects how I approach every engagement. Client data stays private. Always.

n8n AutomationNotion Systems

How Smoothops Consulting delivers enterprise automation to their clients without touching the backend themselves

Smoothops Consulting · Automation and Notion Consulting · Australia · Ongoing

Most businesses at a certain size have the same problem. The data exists. The tools exist. But nobody connected them properly, and now the team is the connection layer.

4+
projects delivered
9
relational databases connected
10+
internal automations built
Ongoing
still their backend specialist
Built withn8nNotionAttioAirtableNotion AIWebhooks

The Engagement

Smoothops Consulting is the globally #2 ranked Notion consultancy in the world. Tim Jeffries, the founder, is ranked among the top Notion consultants globally. The clients Smoothops works with are serious operations: real data, real workflows, real consequences when something breaks.

Tim brought me in as his backend automation specialist. I do not run discovery calls. I do not manage client relationships. I own the technical layer. Tim and his team own everything else. When an engagement needs automation infrastructure built properly, that work comes to me.

The two projects below represent what that looks like in practice. The details that can be shared are here. The rest stays confidential.

Project 01

Enterprise CRM to Notion Sync

One of Smoothops' clients runs their entire business pipeline through Attio, a modern CRM built for venture-backed companies and high-growth teams. Their operational data lived in Attio. Their workflows and knowledge base lived in Notion. The two did not talk to each other. At the scale this client operates, that was a real problem.

This was not a basic webhook that pushes a record from one tool to another. The sync handles every real-world scenario that comes up when two enterprise tools are connected at volume: bulk edits queued so nothing gets dropped, deduplication built into the core logic so nothing ever duplicates, idempotency so if the same event fires twice nothing breaks or corrupts.

attio
01
Attio event triggered
A record is created or updated in the CRM. An event fires immediately.
02
Webhook received
The event arrives instantly and enters the processing queue.
n8n
03
Queued and validated
The event is verified and checked for idempotency before processing.
notion
04
Record lookup in Notion
The system checks whether this record already exists using a unique key.
EXISTS / NEW
notion
05
Record updated or created
Existing pages are updated in place. New records are created correctly.
n8n
06
Relations and attachments applied
Multi-select fields map to relational entries. File attachments sync across.
notion
07
Sync complete
The record is live in Notion within seconds of the original Attio event.

Attio stores metadata as multi-select fields. In Notion, these map to relational database entries. Each tag is a linked record in a separate Notion database with its own properties. File attachments sync across too. VC pipeline stages, deal metadata, and contact classifications are all preserved and structured correctly.

The end result is a Notion workspace that reflects the CRM in real time, with no manual input, no reconciliation work, and no data drift.

Before and After: Project 01

Before
CRM and Notion permanently out of sync
Duplicate pages from repeated imports
Manual updates after every bulk edit
File attachments managed separately
After
Records live in Notion within seconds of any Attio change
Deduplication built into core logic. No duplicates ever
Queue system handles bulk edits without dropping a single record
Attachments sync automatically into the correct Notion record
Project 02

Multi-Database Hotel Operations System

The second project was a different kind of complexity. A hospitality client had data spread across bookings, venues, customers, contacts, and revenue figures. Multiple tools, multiple spreadsheets, no connection between any of them. Decisions were being made on incomplete pictures.

The brief was to bring all of it into Notion, keep it synced, and make it useful. Nine separate Notion databases, all relational. A booking links to a customer. A customer links to a venue. A venue links to revenue records. The whole operation becomes one connected system, not nine separate spreadsheets.

airtable
01
Source data collected
Booking records, revenue figures, customer and contact data pulled from the source systems.
02
Webhook triggers sync
An event fires when records change. n8n picks it up immediately and begins processing.
n8n
03
Record matched or created
The system checks each Notion database using a unique key. Existing records update in place. New ones are created correctly.
notion
04
Relations applied
A booking links to a customer. A customer links to a venue. A venue links to revenue. Every relation is built automatically.
notion
05
Nine databases updated
All nine Notion databases reflect the current state of the operation. Nothing duplicated. Nothing missed.
claude-ai
06
Notion AI layer active
Structured, relational, consistently formatted data. Notion AI analyses revenue patterns and surfaces trends in real time.

Notion AI sits on top of this data. Because everything is structured, relational, and consistently formatted, it can actually work with it. Analysing revenue patterns, surfacing booking trends, helping the team ask questions of their own operation without exporting anything to a spreadsheet.

Nine databases. All relational. All synced. All live.

Before and After: Project 02

Before
Nine disconnected spreadsheets and tools
Manual reconciliation across systems
Decisions made on incomplete data
No single source of truth for the operation
After
Nine relational databases, all live, all connected
Sync runs automatically, existing records updated in place
Notion AI working on clean, structured, real-time data
One Notion workspace reflecting the full state of the business

The Ongoing Relationship

I have been Smoothops' backend automation specialist since late 2025. Tim Jeffries runs one of the most rigorous Notion consultancies in the world. The standard he holds for client deliverables is high. That has pushed the quality of everything I build.

Four projects delivered publicly. More that cannot be described here. What I can say is that the engagement is ongoing, the scope keeps growing, and the bar does not drop.

If you are a consultancy or agency looking for a backend specialist to own the technical layer of your client work, this is exactly what that arrangement looks like. That is the white-label model. Read how it works for agencies.

4+ projects · 9 relational databases · 10+ automations · ongoing retainer
"The backend work Abhiman delivers is exactly what our clients need. Production-grade, reliable, and built to a standard that reflects well on us. He owns the technical layer completely. I don't have to think about it."
Tim Jeffries
Founder, Smoothops Consulting
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