API integrations
Two-way or one-way connections between your systems, with an explicit decision about which one owns each field.
Most automation projects start by buying a platform and end with the same manual work spread across more systems. We start from the process instead, and connect what you already run.
The challenge
Data gets keyed into the CRM and again into the ERP. Someone exports a report every Monday and reconciles it by hand. An order sits unnoticed because the system that knows is not the system anyone watches. None of these show up as a line item, which is precisely why they persist for years — the cost is real but distributed across everyone's week.
When this is the right call
Automation earns its cost where the work is frequent, rule-governed, and expensive to get wrong. These are the usual candidates.
What you get
Integrations that survive the other side changing, which is the only kind worth building.
Two-way or one-way connections between your systems, with an explicit decision about which one owns each field.
Rules that watch for conditions and act — notify, escalate, generate, record — without anyone remembering to check.
Explicit keys linking the same customer across systems, rather than fuzzy name matching that produces duplicates in production.
Backoff, idempotent operations and alerts that reach a person. A silent failure is worse than no automation.
What crossed, when, and what failed — so diagnosing an issue is a query rather than a guess.
Where it genuinely helps: classification, extraction and drafting, with a human check on anything consequential.
How we work
Working from Mexico on Central Time, so review happens the same day rather than overnight — see how nearshore delivery works.
Two weeks of counting: how often, how long, how many people, how many corrections. Without a baseline nobody can say whether it worked.
Which system owns which field, which direction data moves, what happens on conflict and on failure.
The automation runs alongside the manual process until both agree, so errors surface while there is still a safety net.
The manual step is retired, and the integration is monitored — third-party APIs change, and something has to notice.
Years of hands-on
software engineering
The outcome
The measurable result is hours returned and errors prevented. The less obvious one is resilience: a process encoded in software does not leave when someone does, does not skip a step under pressure, and can be changed deliberately rather than by retraining everyone.
Frequently asked
If your question is about working across the border rather than about this service, the nearshore guide covers it in more depth.
Next step
Describe what your team does by hand between two systems. If measuring it first would be more useful than building anything, we will say so.