Every tool showing the same numbers.
Most businesses run on several tools that don't agree with each other. We connect them, check that the data matches, monitor every connection and agree with you which system wins when they differ.
What we design against
What a build in this line is scoped and measured against — not averages from past clients.
- 8
- systems on a typical integration map
- 15m
- max drift between systems
- 24/7
- monitoring on every connector
- 01Stripe
- 02Salesforce
- 03HubSpot
- 04NetSuite
- 05Slack
- 06Webhooks
Two versions of the truth
When your systems disagree and everyone picks a favourite.
Finance and sales report different revenue
01A customer record must be updated in three places
02An integration broke and nobody noticed for a week
03What holds
What keeps two systems agreeing at three in the morning.
Source-of-truth map
For every field, one system wins. We write it down before we build.
Two-way sync
Changes flow both directions without loops, with idempotent writes.
Reconciliation jobs
Nightly checks that catch drift and report it rather than hiding it.
Alerting you'll act on
Failures reach the right channel with enough context to fix them.
How we get there
From mapping one field to a pipeline that reconciles itself.
Every system, every field, every direction data currently moves.
Ownership rules agreed with the teams who rely on each field.
Typed, tested, retry-safe, and monitored.
Scheduled checks keep the systems honest after we leave.
The map
What a connector map actually looks like.
an integration map, laid out the way we build them
What teams ask before connecting two systems for good.
Which two systems disagree?
Name them and what they argue about. We'll tell you whether it's an integration job or a data-ownership one.