Eleven systems. One version of the truth.
Most enterprises do not have a data problem. They have a reconciliation problem — the same customer exists in five places, slightly differently, and nobody owns the difference.
We put a governed layer between those systems: event-driven, replayable, and honest about what failed and when.
Everything this service covers.
What this actually changes.
- 01
Real-time sync ends the nightly-batch excuse for stale data.
- 02
Replay means a failed message is recoverable, not lost.
- 03
Automated reconciliation finds drift before your finance team does.
- 04
One integration layer beats fifteen point-to-point scripts.
- 05
Existing systems stay put — no rip-and-replace, no big-bang cutover.
- 06
Monitoring on every hop turns "it broke somewhere" into a line number.
Stable inside six weeks, after two vendors had walked away.
They sent senior engineers to every meeting, not just the first.
Documented well enough that our own team took it over.
No downtime across the entire migration.
They talked us out of half our original scope.
Delivered on the date they quoted in week one.
Support tickets dropped by a third in the first quarter.
The only team that questioned the brief before quoting.
The only team that questioned the brief before quoting.
Support tickets dropped by a third in the first quarter.
Delivered on the date they quoted in week one.
They talked us out of half our original scope.
No downtime across the entire migration.
Documented well enough that our own team took it over.
They sent senior engineers to every meeting, not just the first.
Stable inside six weeks, after two vendors had walked away.
Four stages, no surprises.
Discover
Workshops, system audit and a written problem statement everyone signs off.
Architect
Technical design, data model and delivery plan — costed before a line is written.
Build
Two-week sprints, a demo every fortnight, staging from day one.
Operate
Handover, documentation and an SLA that keeps us accountable after launch.