Billing bugs. Failed updates. A patient portal nobody trusted. Recurring tickets with no end in sight. Here's the step-by-step account of how JanBask cleared six months of maintenance debt — and put a system in place to prevent it from building up again.
Select a challenge below to see what was happening, how we approached it, and the measurable outcome it produced.
A billing discrepancy would surface, get flagged, get assigned — then sit in the queue for days while the billing team manually worked around it. Each one was small in isolation, but collectively they were delaying payment cycles and eroding trust with payers.
We conducted a full audit of the billing module, identified the three recurring data inconsistency sources, and added input validation and a structured change log — so every fix is documented and traceable.
Every update cycle was dreaded. The team had no reliable staging environment, no rollback protocol, and no test coverage for edge cases. An update to one module would silently break something in another — discovered only when staff or patients complained.
We built a proper staging environment, introduced a pre-deployment checklist with automated regression tests, and documented a rollback protocol so no update ever goes to production blind again.
Appointment booking timed out. Password resets failed silently. Documents uploaded but never appeared in the provider's view. Patients were calling the front desk to do things the portal was supposed to handle — undoing the entire point of having one.
We traced every reported failure to its technical root, resolved session timeout misconfiguration, fixed email delivery routing, and rebuilt the document sync pipeline between the portal and the EHR.
The most demoralizing part wasn't the issues themselves — it was closing a ticket, only to see the same problem resurface three weeks later. Without root cause analysis or regression testing, the team was trapped in a cycle of reactive fixes that never fully resolved anything.
We analysed 6 months of ticket history to identify true recurring patterns, then systematically resolved each one at the root level — with documentation and proactive monitoring so the same issue can never silently return.
From backlog size to system uptime — every metric moved in the right direction.
Three phases. Clear deliverables at each stage. You know exactly what's being done and why before we touch a line of code.
We review your open tickets, error logs, deployment history, and system architecture. We categorise every issue by severity and root cause — so we're fixing the right things first, not just the loudest ones.
We work through the prioritised backlog systematically — fixing issues at the root, documenting every resolution, and testing for downstream impact before marking anything closed. No band-aid fixes.
Once stabilised, we move to a proactive maintenance model — monitoring, scheduled updates in staging, monthly health reports, and a 4-hour SLA for critical issues. You stop fighting fires and start planning ahead.
See exactly how we approached this engagement — methodology, tools, and what it would look like for your systems.
Straight answers to the questions every IT director asks us before getting started.
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A Backlog That Had Been Growing for Six Months
Before JanBask, this organization's IT team was spending more time managing complaints than building anything new. Here's what changed — and why it matters.
We had a list of software issues that just kept growing. Our internal team was overwhelmed — every fix seemed to create a new problem somewhere else. JanBask came in, did a proper audit, and within 90 days the backlog was half what it was. More importantly, we stopped getting the same issues coming back.