Solution · Data unification
Stop copying data.
Unify your business systems.
Connect your CRM, dispatch boards, billing, and spreadsheets so information moves automatically with zero duplicate records and zero human retyping.
A good fit when…
When business software does not communicate, your team becomes a collection of human copy paste bridges. Important records fall out of sync, invoices are delayed, and management operates on conflicting reports. I engineer robust, bi directional synchronization systems that ensure every department sees one consistent source of operational truth.
- The broken automation fear
- Automations built on basic zaps quietly stop working in the background, leaving you unaware that leads or invoices were dropped until an angry client complains.
- Death by a thousand cuts in the messy middle
- Your individual software applications are capable, but the middle is a manual copy paste disaster where staff retype client data across three platforms.
- Hitting the Zapier pricing wall
- As transaction volume scales, multi step zaps become prohibitively expensive, fragile, and prone to runaway execution loops.
What we can build.
- Single source of truth architecture
- Establish clear data ownership rules so each tool owns its designated fields, such as CRM owning leads, dispatch owning jobs, and accounting owning payments.
- Bi directional synchronization
- Keep customer profiles, job records, and financial status updated in real time across all tools without infinite update loops.
- Atomic deduplication and validation
- Cleanse, normalize, and match incoming records using unique composite keys before creating or modifying business data.
- Fail safe error quarantine and instant alerts
- Capture and isolate sync discrepancies into a clear review queue so rare exceptions can be resolved without blocking ordinary operations, alerting your team in Slack immediately.
How the work takes shape.
- 01Map the data contract across systems
We list every tool, the exact fields that must travel between them, the triggers that initiate updates, and which system is authoritative.
- 02Build resilient middleware logic
We implement synchronization workflows using n8n or custom services, complete with rate limiting, retry backoffs, and duplicate prevention.
- 03Test with historical edge cases
We validate sync reliability using real world data anomalies such as missing phone numbers, special characters, and concurrent updates.
A useful starting point.
Start with a list of the software platforms you use, an example of a record that failed to sync properly, and a description of where data gets retyped today.
I work directly with operations managers and founders to eliminate administrative drag and establish clean data foundations for long term growth.
Pricing is scoped around the number of platforms connected, historical data volume, field mapping complexity, and custom validation requirements.
Synchronization bridges and aligns existing data models across platforms. It does not modify proprietary source code inside third party closed platforms.
Before we begin.
Why do ordinary Zapier zaps fail on CRM sync?
Basic point to point zaps lack state memory, transactional isolation, and proper loop detection. When two systems update simultaneously, basic zaps often overwrite changes or trigger infinite update loops.
How do you address the fear of automations breaking silently?
We build explicit error handling and status monitoring into every integration. If an API returns an error or a field is missing, the payload is quarantined and your team receives an immediate notification with actionable recovery steps.
Can you sync legacy software or custom databases?
Yes. Through REST APIs, webhooks, direct database connections such as PostgreSQL or MySQL, or custom scripts, we can connect legacy databases to modern cloud tools.
What prevents duplicate contacts from being created?
We use composite deduplication keys, combining identifiers such as email, phone, and account id, with atomic check before create logic so repeat events update the existing record safely.
Will our historical records be migrated or overwritten?
We design the sync to protect historical records. A phased rollout ensures that existing data is safely normalized before live bi directional updates are activated.
What would a better
way of working look like?
Tell me about the task, the process, or the idea.
contact@younesnadif.com