Avenryx SystemsUse case
Six tools, none of which agree
Systems accumulate one purchase at a time. Nobody decided to have six disconnected tools; it just happened, and now the integration work is done by people.
Outcomes
- Data entered once
- A defined source of truth per field
- Failures visible and retried
- Reporting across systems without exports
Use case
Where it is used
Point-to-point sprawl
Ad-hoc scripts nobody maintains.
Manual bridges
People acting as the integration layer.
Conflicting reports
Two systems, two numbers, one meeting.
What we deliver
- System and data audit
- Ownership mapping
- Integration architecture
- Monitoring and alerting
- Reconciliation reporting
Problems this solves
The same data typed into three systems
One owning system per entity, with defined direction and conflict rules, removes duplicate entry.
Point-to-point scripts nobody maintains
An integration layer with logging, retries and monitoring replaces ad-hoc scripts on someone's machine.
Nobody can prove the systems agree
Scheduled reconciliation reports comparing both sides, with alerting on differences.
How delivery runs
- 01
Observe the current process
We watch the work as it is actually done, including the workarounds, before proposing anything.
- 02
Scope the first slice
One workflow, one team, one measurable target — chosen because it carries the most manual effort.
- 03
Build and pilot
Working software in a pilot group within weeks, running alongside the current process until the numbers agree.
- 04
Roll out and switch off
Migration, training and a dated switch-off of the old route, so two processes do not run forever.
Realistic timeline
Weeks 1–2
System inventory and ownership mapping.
Weeks 3–8
Integration layer for the highest-value flows.
Weeks 9–12
Remaining flows, reconciliation and monitoring.
What moves the price
Number of systems
Each system adds access, mapping, a test environment and its own failure modes.
Interface quality
Modern APIs are cheap; file drops and database-level access need more defensive work.
Data volume and history
Backfilling history is often larger than the ongoing sync.
Where projects go wrong
Automating the workaround
Rules are agreed with the people who handle today's exceptions, so we encode the correct process rather than the historic patch.
Adoption stalls
Rollout has named owners and measured usage per team; software nobody uses moves cost instead of removing it.
FAQ
Questions buyers ask
Do we need an integration platform?+
Above roughly five systems it usually pays for itself. Below that, direct integration is cheaper to own.
Where do we start?+
With the pair that costs the most human time today.
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