Two systems disagree about a customer. Which one is right?
Connecting systems is the easy half. The half that decides whether an integration works is the set of rules nobody wants to write: which system wins a conflict, how two records become one, and what happens to something that fails validation at three in the morning.
In short: we make your CRM, accounting, scheduling, support and marketing tools agree with each other — on a schedule, with a defined source of truth per field, a documented merge rule for duplicates, and a visible queue for anything that fails. The connection is a week’s work; the rules are the project.
Four questions we settle before writing anything
SOURCE OF TRUTH
Which system owns each field?
Not which system owns the record — which system owns the address, the phone number, the account status. It is almost never the same answer for every field, and assuming it is produces sync loops where two systems overwrite each other forever.
DUPLICATES
When are two records one person?
Same email, different name. Same company, different spelling. A match rule that is too loose merges two real customers; too tight and your database doubles. We write the rule, test it against your actual data, and show you what it would have merged.
DIRECTION
One way or both ways?
Two-way sync sounds better and costs considerably more, because every conflict now needs an answer. Plenty of integrations are better as one-way with a single editable system, and we’ll say when yours is one of them.
FAILURE
What happens to a rejected record?
A required field is empty, a value doesn’t match a picklist, an API is down. The record goes to a visible queue with the reason attached and gets retried — it is never dropped, and it never blocks the rest of the batch.
The cleanup nobody budgets for
Most integration projects discover, somewhere in week two, that the data on one side is worse than anyone believed. Three thousand contacts with no company. Statuses that were renamed in 2023 with the old values still in half the records. A required field that’s been optional in practice since the last administrator left.
We profile both sides before quoting, so that turns up before the contract rather than during the build. Sometimes the recommendation is to clean first and integrate afterwards — syncing bad data faster just distributes the problem.
What we won’t do
Sync silently
An integration that stops overnight and says nothing is worse than no integration, because everyone keeps trusting the data. Ours report volumes, alert on failure, and expose the rejected queue.
Merge records without a way back
Every merge keeps what it replaced. A match rule that seemed sensible in testing occasionally isn’t in production, and you need to be able to unpick it.
Recommend replacing your CRM to make the integration easier
Migrations should happen for their own reasons. Building against the system you have is our problem to solve, not yours to pay for twice.
How it runs
A week profiling both systems and agreeing the four rules above. Then the sync is built and run in read-only mode against real data, producing a report of everything it would have changed. You read that report before anything is written.
Once the proposed changes look right, it goes live one object at a time — contacts before companies, companies before deals — with monitoring from the first run rather than added after the first surprise.
What our clients say
The businesses we’ve built for, in their own words.
★★★★★
“When I approached Abedin Tech with my land share selling plan, I wasn’t sure how it would work. But thanks to their precise strategy and powerful marketing, my business is now thriving. They truly understand their clients’ needs and go above and beyond.”
Owner, Richland Properties
Real Estate
★★★★★
“I approached Abedin Tech to develop my website with several specific functionalities. Their team delivered exactly what I envisioned, creating a beautifully designed website that met all my requirements. I highly recommend Abedin Tech.”
Rohit
Owner, Shop from China
★★★★★
“The decision to partner with Abedin Tech was the best decision we made. Our site looks great, our traffic is through the roof, and our sales are better than ever. Abedin Tech is the perfect digital partner that offers what is beyond your expectations!”
James Anderson
★★★★★
“We had an idea but no sense of direction. With each step of the way, Abedin Tech guided us and turned our vision into a beautiful website with functionality. The outcome is evident by the numbers!”
Isabella Scott
Name the two systems and what they argue about
We’ll profile both, tell you what state the data is really in, and quote the integration and any cleanup separately so you can see which is which.
Not the connection — the rules. Which system owns each individual field rather than each record, when two records represent the same person, whether sync runs one way or both, and what happens to a record that fails validation. Skipping those produces sync loops where two systems overwrite each other indefinitely, which is the most common way integrations fail after going live.
Should we use one-way or two-way sync?
One-way is cheaper, more predictable and often sufficient, because it needs no conflict resolution — one system is editable and the other reflects it. Two-way sounds better and costs considerably more, since every field where both sides can change needs a documented winner. We recommend one-way wherever the business process allows it.
How do you handle duplicate records?
With a match rule written, tested against your actual data, and shown to you as a preview of what it would merge before anything is committed. Too loose and it combines two real customers; too tight and the database doubles. Every merge also keeps what it replaced, because a rule that looked sensible in testing occasionally is not in production.
What if our data is messy?
It usually is, and we profile both systems before quoting so that surfaces before the contract rather than in week two. Contacts with no company, statuses renamed years ago with old values still in half the records, fields that are required in theory and optional in practice. Sometimes the recommendation is to clean first and integrate afterwards, because syncing bad data faster only distributes the problem.
